From 6db178c26280cdfc88fea4dc043accca90239d3f Mon Sep 17 00:00:00 2001
From: lhenry15 <khlai037@gmail.com>
Date: Thu, 17 Jun 2021 23:38:48 -0500
Subject: [PATCH] merge from benchmark branch

---
 benchmark/README.md                                |   8 -
 benchmark/realworld_data/README.md                 |  51 ---
 benchmark/realworld_data/build_pipelines.sh        |  26 --
 benchmark/realworld_data/data/script/cicids.py     |  43 ---
 benchmark/realworld_data/data/script/creditcard.py |  28 --
 benchmark/realworld_data/data/script/gecco.py      |  31 --
 .../data/script/raw_data/put_data_here             |   0
 benchmark/realworld_data/data/script/swan_sf.py    |  44 ---
 .../neural/build_AE_pipeline.py                    |  78 ----
 .../neural/build_RNNLSTM_pipeline.py               |  78 ----
 .../pipeline_construction_simple.py                | 183 ----------
 .../pipeline_construction_subseq.py                | 183 ----------
 .../pipelines/AE/creditcard/ae_pipeline_0.01.json  |   1 -
 .../pipelines/AE/creditcard/ae_pipeline_0.05.json  |   1 -
 .../pipelines/AE/creditcard/ae_pipeline_0.1.json   |   1 -
 .../pipelines/AE/creditcard/ae_pipeline_0.15.json  |   1 -
 .../pipelines/AE/creditcard/ae_pipeline_0.2.json   |   1 -
 .../pipelines/AE/creditcard/ae_pipeline_0.25.json  |   1 -
 .../pipelines/AE/swan_sf/ae_pipeline_0.01.json     |   1 -
 .../pipelines/AE/swan_sf/ae_pipeline_0.05.json     |   1 -
 .../pipelines/AE/swan_sf/ae_pipeline_0.1.json      |   1 -
 .../pipelines/AE/swan_sf/ae_pipeline_0.15.json     |   1 -
 .../pipelines/AE/swan_sf/ae_pipeline_0.2.json      |   1 -
 .../pipelines/AE/swan_sf/ae_pipeline_0.25.json     |   1 -
 .../AE/water_quality/ae_pipeline_0.01.json         |   1 -
 .../AE/water_quality/ae_pipeline_0.05.json         |   1 -
 .../AE/water_quality/ae_pipeline_0.1.json          |   1 -
 .../AE/water_quality/ae_pipeline_0.15.json         |   1 -
 .../AE/water_quality/ae_pipeline_0.2.json          |   1 -
 .../AE/water_quality/ae_pipeline_0.25.json         |   1 -
 .../pipelines/AE/web_attack/ae_pipeline_0.01.json  |   1 -
 .../pipelines/AE/web_attack/ae_pipeline_0.05.json  |   1 -
 .../pipelines/AE/web_attack/ae_pipeline_0.1.json   |   1 -
 .../pipelines/AE/web_attack/ae_pipeline_0.15.json  |   1 -
 .../pipelines/AE/web_attack/ae_pipeline_0.2.json   |   1 -
 .../pipelines/AE/web_attack/ae_pipeline_0.25.json  |   1 -
 .../RNN_LSTM/creditcard/rnnlstm_pipeline_0.01.json |   1 -
 .../RNN_LSTM/creditcard/rnnlstm_pipeline_0.05.json |   1 -
 .../RNN_LSTM/creditcard/rnnlstm_pipeline_0.1.json  |   1 -
 .../RNN_LSTM/creditcard/rnnlstm_pipeline_0.15.json |   1 -
 .../RNN_LSTM/creditcard/rnnlstm_pipeline_0.2.json  |   1 -
 .../RNN_LSTM/creditcard/rnnlstm_pipeline_0.25.json |   1 -
 .../RNN_LSTM/swan_sf/rnnlstm_pipeline_0.01.json    |   1 -
 .../RNN_LSTM/swan_sf/rnnlstm_pipeline_0.05.json    |   1 -
 .../RNN_LSTM/swan_sf/rnnlstm_pipeline_0.1.json     |   1 -
 .../RNN_LSTM/swan_sf/rnnlstm_pipeline_0.15.json    |   1 -
 .../RNN_LSTM/swan_sf/rnnlstm_pipeline_0.2.json     |   1 -
 .../RNN_LSTM/swan_sf/rnnlstm_pipeline_0.25.json    |   1 -
 .../water_quality/rnnlstm_pipeline_0.01.json       |   1 -
 .../water_quality/rnnlstm_pipeline_0.05.json       |   1 -
 .../water_quality/rnnlstm_pipeline_0.1.json        |   1 -
 .../water_quality/rnnlstm_pipeline_0.15.json       |   1 -
 .../water_quality/rnnlstm_pipeline_0.2.json        |   1 -
 .../water_quality/rnnlstm_pipeline_0.25.json       |   1 -
 .../RNN_LSTM/web_attack/rnnlstm_pipeline_0.01.json |   1 -
 .../RNN_LSTM/web_attack/rnnlstm_pipeline_0.05.json |   1 -
 .../RNN_LSTM/web_attack/rnnlstm_pipeline_0.1.json  |   1 -
 .../RNN_LSTM/web_attack/rnnlstm_pipeline_0.15.json |   1 -
 .../RNN_LSTM/web_attack/rnnlstm_pipeline_0.2.json  |   1 -
 .../RNN_LSTM/web_attack/rnnlstm_pipeline_0.25.json |   1 -
 .../pipelines/simple/AutoRegODetector_0.01.json    |   1 -
 .../pipelines/simple/AutoRegODetector_0.05.json    |   1 -
 .../pipelines/simple/AutoRegODetector_0.1.json     |   1 -
 .../pipelines/simple/AutoRegODetector_0.15.json    |   1 -
 .../pipelines/simple/AutoRegODetector_0.2.json     |   1 -
 .../pipelines/simple/AutoRegODetector_0.25.json    |   1 -
 .../pipelines/simple/matrix_profile_0.01.json      |   1 -
 .../pipelines/simple/matrix_profile_0.05.json      |   1 -
 .../pipelines/simple/matrix_profile_0.1.json       |   1 -
 .../pipelines/simple/matrix_profile_0.15.json      |   1 -
 .../pipelines/simple/matrix_profile_0.2.json       |   1 -
 .../pipelines/simple/matrix_profile_0.25.json      |   1 -
 .../pipelines/simple/pyod_iforest_0.01.json        |   1 -
 .../pipelines/simple/pyod_iforest_0.05.json        |   1 -
 .../pipelines/simple/pyod_iforest_0.1.json         |   1 -
 .../pipelines/simple/pyod_iforest_0.15.json        |   1 -
 .../pipelines/simple/pyod_iforest_0.2.json         |   1 -
 .../pipelines/simple/pyod_iforest_0.25.json        |   1 -
 .../pipelines/simple/pyod_mogaal_0.01.json         |   1 -
 .../pipelines/simple/pyod_mogaal_0.05.json         |   1 -
 .../pipelines/simple/pyod_mogaal_0.1.json          |   1 -
 .../pipelines/simple/pyod_mogaal_0.15.json         |   1 -
 .../pipelines/simple/pyod_mogaal_0.2.json          |   1 -
 .../pipelines/simple/pyod_mogaal_0.25.json         |   1 -
 .../pipelines/simple/pyod_ocsvm_0.01.json          |   1 -
 .../pipelines/simple/pyod_ocsvm_0.05.json          |   1 -
 .../pipelines/simple/pyod_ocsvm_0.1.json           |   1 -
 .../pipelines/simple/pyod_ocsvm_0.15.json          |   1 -
 .../pipelines/simple/pyod_ocsvm_0.2.json           |   1 -
 .../pipelines/simple/pyod_ocsvm_0.25.json          |   1 -
 .../pipelines/simple/pyod_sogaal_0.01.json         |   1 -
 .../pipelines/simple/pyod_sogaal_0.05.json         |   1 -
 .../pipelines/simple/pyod_sogaal_0.1.json          |   1 -
 .../pipelines/simple/pyod_sogaal_0.15.json         |   1 -
 .../pipelines/simple/pyod_sogaal_0.2.json          |   1 -
 .../pipelines/simple/pyod_sogaal_0.25.json         |   1 -
 .../pipelines/subseq/pyod_ae_subseq_0.01.json      |   1 -
 .../pipelines/subseq/pyod_ae_subseq_0.05.json      |   1 -
 .../pipelines/subseq/pyod_ae_subseq_0.1.json       |   1 -
 .../pipelines/subseq/pyod_ae_subseq_0.15.json      |   1 -
 .../pipelines/subseq/pyod_ae_subseq_0.2.json       |   1 -
 .../pipelines/subseq/pyod_ae_subseq_0.25.json      |   1 -
 .../pipelines/subseq/pyod_iforest_subseq_0.01.json |   1 -
 .../pipelines/subseq/pyod_iforest_subseq_0.05.json |   1 -
 .../pipelines/subseq/pyod_iforest_subseq_0.1.json  |   1 -
 .../pipelines/subseq/pyod_iforest_subseq_0.15.json |   1 -
 .../pipelines/subseq/pyod_iforest_subseq_0.2.json  |   1 -
 .../pipelines/subseq/pyod_iforest_subseq_0.25.json |   1 -
 .../pipelines/subseq/pyod_ocsvm_subseq_0.01.json   |   1 -
 .../pipelines/subseq/pyod_ocsvm_subseq_0.05.json   |   1 -
 .../pipelines/subseq/pyod_ocsvm_subseq_0.1.json    |   1 -
 .../pipelines/subseq/pyod_ocsvm_subseq_0.15.json   |   1 -
 .../pipelines/subseq/pyod_ocsvm_subseq_0.2.json    |   1 -
 .../pipelines/subseq/pyod_ocsvm_subseq_0.25.json   |   1 -
 .../pipelines/subseq/pyod_sogaal_subseq_0.01.json  |   1 -
 .../pipelines/subseq/pyod_sogaal_subseq_0.05.json  |   1 -
 .../pipelines/subseq/pyod_sogaal_subseq_0.1.json   |   1 -
 .../pipelines/subseq/pyod_sogaal_subseq_0.15.json  |   1 -
 .../pipelines/subseq/pyod_sogaal_subseq_0.2.json   |   1 -
 .../pipelines/subseq/pyod_sogaal_subseq_0.25.json  |   1 -
 .../result/creditcard/ae_pipeline_0.01.csv         |   5 -
 .../result/creditcard/ae_pipeline_0.05.csv         |   5 -
 .../result/creditcard/ae_pipeline_0.1.csv          |   5 -
 .../result/creditcard/ae_pipeline_0.15.csv         |   5 -
 .../result/creditcard/ae_pipeline_0.2.csv          |   5 -
 .../result/creditcard/ae_pipeline_0.25.csv         |   5 -
 .../result/creditcard/pyod_ae_subseq_0.2.csv       |   5 -
 .../result/creditcard/pyod_iforest_subseq_0.01.csv |   5 -
 .../result/creditcard/pyod_iforest_subseq_0.05.csv |   5 -
 .../result/creditcard/pyod_iforest_subseq_0.1.csv  |   5 -
 .../result/creditcard/pyod_iforest_subseq_0.15.csv |   5 -
 .../result/creditcard/pyod_iforest_subseq_0.2.csv  |   5 -
 .../result/creditcard/pyod_iforest_subseq_0.25.csv |   5 -
 .../result/creditcard/pyod_mogaal_0.01.csv         |   5 -
 .../result/creditcard/pyod_mogaal_0.15.csv         |   5 -
 .../result/creditcard/pyod_mogaal_0.25.csv         |   5 -
 .../result/creditcard/pyod_ocsvm_subseq_0.01.csv   |   5 -
 .../result/creditcard/pyod_ocsvm_subseq_0.05.csv   |   5 -
 .../result/creditcard/pyod_ocsvm_subseq_0.1.csv    |   5 -
 .../result/creditcard/pyod_ocsvm_subseq_0.15.csv   |   5 -
 .../result/creditcard/pyod_ocsvm_subseq_0.2.csv    |   5 -
 .../result/creditcard/pyod_ocsvm_subseq_0.25.csv   |   5 -
 .../result/creditcard/pyod_sogaal_subseq_0.01.csv  |   5 -
 .../result/creditcard/pyod_sogaal_subseq_0.05.csv  |   5 -
 .../result/creditcard/pyod_sogaal_subseq_0.1.csv   |   5 -
 .../result/creditcard/pyod_sogaal_subseq_0.15.csv  |   5 -
 .../result/creditcard/rnnlstm_pipeline_0.01.csv    |   5 -
 .../result/swan_sf/AutoRegODetector_0.01.csv       |   5 -
 .../result/swan_sf/AutoRegODetector_0.05.csv       |   5 -
 .../result/swan_sf/AutoRegODetector_0.1.csv        |   5 -
 .../result/swan_sf/AutoRegODetector_0.15.csv       |   5 -
 .../result/swan_sf/AutoRegODetector_0.2.csv        |   5 -
 .../result/swan_sf/AutoRegODetector_0.25.csv       |   5 -
 .../result/swan_sf/ae_pipeline_0.01.csv            |   5 -
 .../result/swan_sf/ae_pipeline_0.05.csv            |   5 -
 .../result/swan_sf/ae_pipeline_0.1.csv             |   5 -
 .../result/swan_sf/ae_pipeline_0.15.csv            |   5 -
 .../result/swan_sf/ae_pipeline_0.2.csv             |   5 -
 .../result/swan_sf/ae_pipeline_0.25.csv            |   5 -
 .../result/swan_sf/pyod_ae_subseq_0.01.csv         |   5 -
 .../result/swan_sf/pyod_ae_subseq_0.05.csv         |   5 -
 .../result/swan_sf/pyod_ae_subseq_0.1.csv          |   5 -
 .../result/swan_sf/pyod_ae_subseq_0.15.csv         |   5 -
 .../result/swan_sf/pyod_ae_subseq_0.2.csv          |   5 -
 .../result/swan_sf/pyod_ae_subseq_0.25.csv         |   5 -
 .../result/swan_sf/pyod_iforest_0.01.csv           |   5 -
 .../result/swan_sf/pyod_iforest_0.05.csv           |   5 -
 .../result/swan_sf/pyod_iforest_0.1.csv            |   5 -
 .../result/swan_sf/pyod_iforest_0.15.csv           |   5 -
 .../result/swan_sf/pyod_iforest_0.2.csv            |   5 -
 .../result/swan_sf/pyod_iforest_0.25.csv           |   5 -
 .../result/swan_sf/pyod_iforest_subseq_0.01.csv    |   5 -
 .../result/swan_sf/pyod_iforest_subseq_0.05.csv    |   5 -
 .../result/swan_sf/pyod_iforest_subseq_0.1.csv     |   5 -
 .../result/swan_sf/pyod_iforest_subseq_0.15.csv    |   5 -
 .../result/swan_sf/pyod_iforest_subseq_0.2.csv     |   5 -
 .../result/swan_sf/pyod_iforest_subseq_0.25.csv    |   5 -
 .../result/swan_sf/pyod_mogaal_subseq_0.01.csv     |   5 -
 .../result/swan_sf/pyod_mogaal_subseq_0.05.csv     |   5 -
 .../result/swan_sf/pyod_mogaal_subseq_0.1.csv      |   5 -
 .../result/swan_sf/pyod_mogaal_subseq_0.15.csv     |   5 -
 .../result/swan_sf/pyod_mogaal_subseq_0.2.csv      |   5 -
 .../result/swan_sf/pyod_mogaal_subseq_0.25.csv     |   5 -
 .../result/swan_sf/pyod_sogaal_subseq_0.01.csv     |   5 -
 .../result/swan_sf/pyod_sogaal_subseq_0.05.csv     |   5 -
 .../result/swan_sf/pyod_sogaal_subseq_0.1.csv      |   5 -
 .../result/swan_sf/pyod_sogaal_subseq_0.15.csv     |   5 -
 .../result/swan_sf/pyod_sogaal_subseq_0.2.csv      |   5 -
 .../result/swan_sf/pyod_sogaal_subseq_0.25.csv     |   5 -
 .../result/swan_sf/rnnlstm_pipeline_0.05.csv       |   5 -
 .../result/swan_sf/rnnlstm_pipeline_0.2.csv        |   5 -
 .../result/swan_sf/rnnlstm_pipeline_0.25.csv       |   5 -
 .../result/water_quality/AutoRegODetector_0.01.csv |   5 -
 .../result/water_quality/AutoRegODetector_0.05.csv |   5 -
 .../result/water_quality/AutoRegODetector_0.1.csv  |   5 -
 .../result/water_quality/AutoRegODetector_0.15.csv |   5 -
 .../result/water_quality/AutoRegODetector_0.2.csv  |   5 -
 .../result/water_quality/AutoRegODetector_0.25.csv |   5 -
 .../result/water_quality/ae_pipeline_0.01.csv      |   5 -
 .../result/water_quality/ae_pipeline_0.05.csv      |   5 -
 .../result/water_quality/ae_pipeline_0.1.csv       |   5 -
 .../result/water_quality/ae_pipeline_0.15.csv      |   5 -
 .../result/water_quality/ae_pipeline_0.2.csv       |   5 -
 .../result/water_quality/ae_pipeline_0.25.csv      |   5 -
 .../result/water_quality/pyod_iforest_0.01.csv     |   5 -
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 .../result/water_quality/pyod_iforest_0.25.csv     |   5 -
 .../water_quality/pyod_iforest_subseq_0.01.csv     |   5 -
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 .../result/water_quality/pyod_mogaal_0.01.csv      |   5 -
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 .../result/water_quality/pyod_mogaal_0.25.csv      |   5 -
 .../result/water_quality/pyod_ocsvm_0.01.csv       |   5 -
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 .../water_quality/pyod_ocsvm_subseq_0.01.csv       |   5 -
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 .../result/water_quality/pyod_sogaal_0.01.csv      |   5 -
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 .../result/water_quality/pyod_sogaal_0.25.csv      |   5 -
 .../result/water_quality/rnnlstm_pipeline_0.01.csv |   5 -
 .../result/water_quality/rnnlstm_pipeline_0.05.csv |   5 -
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 .../result/water_quality/rnnlstm_pipeline_0.2.csv  |   5 -
 .../result/water_quality/rnnlstm_pipeline_0.25.csv |   5 -
 .../result/web_attack/AutoRegODetector_0.01.csv    |   5 -
 .../result/web_attack/AutoRegODetector_0.05.csv    |   5 -
 .../result/web_attack/AutoRegODetector_0.1.csv     |   5 -
 .../result/web_attack/AutoRegODetector_0.15.csv    |   5 -
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 .../result/web_attack/AutoRegODetector_0.25.csv    |   5 -
 .../result/web_attack/ae_pipeline_0.01.csv         |   5 -
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 .../result/web_attack/pyod_ae_subseq_0.01.csv      |   5 -
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 .../result/web_attack/pyod_ocsvm_0.01.csv          |   5 -
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 .../result/web_attack/rnnlstm_pipeline_0.2.csv     |   5 -
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diff --git a/benchmark/README.md b/benchmark/README.md
deleted file mode 100644
index 229909e..0000000
--- a/benchmark/README.md
+++ /dev/null
@@ -1,8 +0,0 @@
-
-# Revisiting Time Series Outlier Detection: Definitions and Benchmarks
-
-## Benchmark Directions
-* Step1: Follow the instructions in main page to intall the package
-* Step2: Go to the sub-directories (realworld\_data or synthetic) to see the detailed instruction for running the benchmarking pipelines.
-
-
diff --git a/benchmark/realworld_data/README.md b/benchmark/realworld_data/README.md
deleted file mode 100644
index 802fbee..0000000
--- a/benchmark/realworld_data/README.md
+++ /dev/null
@@ -1,51 +0,0 @@
-# Revisiting Time Series Outlier Detection:Definitions and Benchmarks
-
-This branch is the source code of  experiment part of our paper. We provide everything needed when running the experiments: Dataset, Dataset Generator, Pipeline json, Python script, runner and the result (in "./result") we get from the experiments.
-
-## Resources
-* Paper: Under review
-
-
-## Datasets
-To get the dataset, please go to "data/script" to run all of the python scripts. They will download and preprocess the data automatically into "data/" folder.
-
-
-## Pipeline
-
-This Pipeline json files are organized by different settings of algorithms. 
-
-## Runner
-
-To run a pipeline, you can generate your own pipeline json file from script.
-
-```python
-sh build_pipelines.sh
-```
-
-Then run the pipeline with run\_pipeline.py (Below is the example for running IForest on GECCO dataset)
-```python
-python run_pipeline.py --pipeline_path pipelines/simple/pyod_iforest_0.01.json --data_path ./data/water_quality.csv
-```
-
-
-
-Or you can directly use the pipelines we have generated in /pipelines with bash script:
-
-```python
-sh run.sh
-```
-
-
-## Cite this Work:
-If you find this  work useful, you may cite this work:
-```
-@misc{lai2020tods,
-    title={TODS: An Automated Time Series Outlier Detection System},
-    author={Kwei-Harng Lai and Daochen Zha and Guanchu Wang and Junjie Xu and Yue Zhao and Devesh Kumar and Yile Chen and Purav Zumkhawaka and Minyang Wan and Diego Martinez and Xia Hu},
-    year={2020},
-    eprint={2009.09822},
-    archivePrefix={arXiv},
-    primaryClass={cs.DB}
-}
-```
-*Please refer master branch of TODS for details of running pipelines.
diff --git a/benchmark/realworld_data/build_pipelines.sh b/benchmark/realworld_data/build_pipelines.sh
deleted file mode 100644
index 861976c..0000000
--- a/benchmark/realworld_data/build_pipelines.sh
+++ /dev/null
@@ -1,26 +0,0 @@
-#!/bin/bash
-
-if [ ! -d "./pipelines/simple" ]; then
-	mkdir -p ./pipelines/simple
-fi
-if [ ! -d "./pipelines/subseq" ]; then
-	mkdir -p ./pipelines/subseq
-fi
-python pipeline_construction/pipeline_construction_simple.py 
-python pipeline_construction/pipeline_construction_subseq.py 
-
-data="swan_sf creditcard web_attack water_quality"
-for d in $data
-do 
-	if [ ! -d "./pipelines/AE/$d" ]; then
-		mkdir -p ./pipelines/AE/$d
-	fi
-	if [ ! -d "./pipelines/RNN_LSTM/$d" ]; then
-		mkdir -p ./pipelines/RNN_LSTM/$d
-	fi
-
-	python pipeline_construction/neural/build_AE_pipeline.py "./data/"$d".csv"
-	python pipeline_construction/neural/build_RNNLSTM_pipeline.py "./data/"$d".csv"
-done
-
-
diff --git a/benchmark/realworld_data/data/script/cicids.py b/benchmark/realworld_data/data/script/cicids.py
deleted file mode 100644
index 15cbc1d..0000000
--- a/benchmark/realworld_data/data/script/cicids.py
+++ /dev/null
@@ -1,43 +0,0 @@
-import pandas as pd
-import numpy as np
-import os
-import requests
-
-
-def preprocess_web_attack():
-    def get_data():
-        link="http://205.174.165.80/CICDataset/CIC-IDS-2017/Dataset/MachineLearningCSV.zip"
-        r = requests.get(link)
-        with open('./raw_data/cicids.zip', 'wb') as f:
-                f.write(r.content)
-        os.system("unzip ./raw_data/cicids.zip -d ./raw_data")
-        os.system("mv ./raw_data/MachineLearningCSV/Thursday-WorkingHours-Morning-WebAttacks.pcap_ISCX.csv ./raw_data/cicids.csv")
-        os.system("rm -r MachineLearningCSV")
-        os.system("rm cicids.zip")
-
-    if get_data == True:
-        get_data()
-    #df = pd.read_csv("./raw_data/MachineLearningCSV/Thursday-WorkingHours-Morning-WebAttacks.pcap_ISCX.csv")
-    df = pd.read_csv("./raw_data/cicids.csv")
-
-    df.replace([float('inf'), 'Infinity',''], np.nan, inplace=True)
-    df = df.dropna()
-    #df = df.sample(frac=0.05, replace=False, random_state=1)
-    df[' Timestamp'] = pd.to_datetime(df[' Timestamp'], infer_datetime_format=True)
-    df = df.sort_values(by=[' Timestamp'])
-
-    # drop nan and str columns
-    drop_cols = list(df.columns)[0:5]
-    drop_cols = list(df.columns)[0:5]
-    drop_cols.append(list(df.columns)[6])
-    df = df.drop(columns=drop_cols)
-
-    # relabeing and put label in the first column
-    df[' Label'] = df[' Label'].map({'BENIGN':"0", "Web Attack Brute Force": "1","Web Attack Sql Injection": "1", "Web Attack XSS": "1"})
-    cols = df.columns.tolist()
-    cols = cols[-1:] + cols[:-1]
-    df = df[cols]
-    df.to_csv("../web_attack.csv", index=False, encoding='utf-8')
-
-if __name__ == "__main__":
-    preprocess_web_attack()
diff --git a/benchmark/realworld_data/data/script/creditcard.py b/benchmark/realworld_data/data/script/creditcard.py
deleted file mode 100644
index 5917d00..0000000
--- a/benchmark/realworld_data/data/script/creditcard.py
+++ /dev/null
@@ -1,28 +0,0 @@
-import pandas as pd
-import os
-import requests
-
-def preprocess_creditcard():
-    def get_data():
-        link="https://www.openml.org/data/get_csv/1673544/phpKo8OWT"
-        r = requests.get(link)
-        with open('./raw_data/openml_creditcard.csv', 'wb') as f:
-                f.write(r.content)
-
-    get_data()
-    df = pd.read_csv("./raw_data/openml_creditcard.csv")
-    # drop nan and str columns
-    df = df.dropna()
-    #df = df.drop(columns=['Time'])
-    cols = df.columns.tolist()
-    cols = cols[-1:] + cols[:-1]
-    df = df[cols]
-    #df['Class'] = df['Class'].map({0:"nominal", 1: "anomaly"})
-    #df = df.sample(frac=0.025, replace=False, random_state=1)
-    df = df.sort_values(by=['Time'])
-    df = df.drop(columns=['Time'])
-    df['Class'] = df['Class'].str.replace(r'\'', '').astype(int)
-    df.to_csv("../creditcard.csv", index=False, encoding='utf-8')
-
-if __name__ == "__main__":
-    preprocess_creditcard()
diff --git a/benchmark/realworld_data/data/script/gecco.py b/benchmark/realworld_data/data/script/gecco.py
deleted file mode 100644
index 9d7fe0c..0000000
--- a/benchmark/realworld_data/data/script/gecco.py
+++ /dev/null
@@ -1,31 +0,0 @@
-import pandas as pd
-import os
-import requests
-
-def preprocess_gecco():
-    def get_data():
-        link="https://ndownloader.figshare.com/articles/12451142/versions/1"
-        r = requests.get(link)
-        with open('./raw_data/gecco.zip', 'wb') as f:
-                f.write(r.content)
-        os.system("unzip ./raw_data/gecco.zip -d ./raw_data")
-        os.system("rm ./raw_data/*.pdf ./raw_data/4_ResourcePackage_GECCO_Industrial_Challenge_2018.zip")
-
-    get_data()
-    df = pd.read_csv("./raw_data/1_gecco2018_water_quality.csv")
-    # drop nan and str columns
-    df = df.dropna()
-    df = df.drop(columns=['Time', df.columns[0]])
-    cols = df.columns.tolist()
-    cols = cols[-1:] + cols[:-1]
-    df = df[cols]
-    df['EVENT'] = df['EVENT'].map({False:"0", True: "1"})
-    df = df.rename(columns={"EVENT": "label"})
-    #df['Class'] = df['Class'].map({0:"nominal", 1: "anomaly"})
-    #df = df.sample(frac=0.025, replace=False, random_state=1)
-    #df = df.sort_values(by=['Time'])
-    #df = df.drop(columns=['Time'])
-    df.to_csv("../water_quality.csv", index=False, encoding='utf-8')
-
-if __name__ == "__main__":
-    preprocess_gecco()
diff --git a/benchmark/realworld_data/data/script/raw_data/put_data_here b/benchmark/realworld_data/data/script/raw_data/put_data_here
deleted file mode 100644
index e69de29..0000000
diff --git a/benchmark/realworld_data/data/script/swan_sf.py b/benchmark/realworld_data/data/script/swan_sf.py
deleted file mode 100644
index 66c0507..0000000
--- a/benchmark/realworld_data/data/script/swan_sf.py
+++ /dev/null
@@ -1,44 +0,0 @@
-import pandas as pd
-import os
-import requests
-
-def get_data():
-    link="https://bitbucket.org/gsudmlab/mvtsdata_toolkit/downloads/petdataset_01.zip"
-    r = requests.get(link)
-    with open('./swan_sf.zip', 'wb') as f:
-            f.write(r.content)
-    os.system("unzip swan_sf.zip")
-
-def read_labeled_data():
-    dir_path = "./petdataset_01"
-    files = os.listdir(dir_path)
-    inlier = []
-    label = {}
-    for f in files:
-        #if "csv" not in f and "NF" not in f:
-        if "csv" not in f:
-            continue
-        label = f.split("lab[")[1].split("]")[0]
-        #print(label)
-        f_path = os.path.join(dir_path, f)
-        df = pd.read_csv(f_path, header=0, sep='\t')
-        df['label'] = label
-        inlier.append(df)
-    df = pd.concat(inlier, axis=0, ignore_index=True)
-    df = df.sort_values(by=['Timestamp'])
-    drop_cols = [col for col in df.columns if "label" in col or "loc" in col or "Timestamp" in col][:-1]
-    df = df.drop(columns=drop_cols)
-    df.reset_index(drop=True, inplace=True)
-    df = df.fillna(method='ffill')
-    df = df.dropna(axis="columns")
-    df['label'].replace({"NF":0, "C":1, "B":1, "M":1, "X":1}, inplace=True)
-    df['IS_TMFI'].replace({True:1, False:0}, inplace=True)
-    cols = df.columns.tolist()
-    cols = cols[-1:] + cols[:-1]
-    df = df[cols]
-    df.to_csv("../swan_sf.csv", index=False)
-
-if __name__ == "__main__":
-    get_data()
-    read_labeled_data()
-    os.system("rm -rf swan_sf.zip petdataset_01")
diff --git a/benchmark/realworld_data/pipeline_construction/neural/build_AE_pipeline.py b/benchmark/realworld_data/pipeline_construction/neural/build_AE_pipeline.py
deleted file mode 100644
index a9a2797..0000000
--- a/benchmark/realworld_data/pipeline_construction/neural/build_AE_pipeline.py
+++ /dev/null
@@ -1,78 +0,0 @@
-import sys
-import pandas as pd
-
-dataset = sys.argv[1]
-data_name = dataset.split("/")[-1].split(".")[0]
-df = pd.read_csv(dataset)
-feature_dim = len(df.columns) - 1 # take off label
-
-from d3m import index
-from d3m.metadata.base import ArgumentType
-from d3m.metadata.pipeline import Pipeline, PrimitiveStep
-
-for cont_rate in [0.01, 0.05, 0.1, 0.15, 0.2, 0.25]:
-    # Creating pipeline
-    pipeline_description = Pipeline()
-    pipeline_description.add_input(name='inputs')
-
-    # Step 0: dataset_to_dataframe
-    step_0 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.dataset_to_dataframe'))
-    step_0.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='inputs.0')
-    step_0.add_output('produce')
-    pipeline_description.add_step(step_0)
-
-    # Step 1: column_parser
-    step_1 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.column_parser'))
-    step_1.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.0.produce')
-    step_1.add_output('produce')
-    pipeline_description.add_step(step_1)
-
-    # Step 2: extract_columns_by_semantic_types(attributes)
-    step_2 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.extract_columns_by_semantic_types'))
-    step_2.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.1.produce')
-    step_2.add_output('produce')
-    step_2.add_hyperparameter(name='semantic_types', argument_type=ArgumentType.VALUE,
-                                                              data=['https://metadata.datadrivendiscovery.org/types/Attribute'])
-    pipeline_description.add_step(step_2)
-
-    # Step 3: extract_columns_by_semantic_types(targets)
-    step_3 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.extract_columns_by_semantic_types'))
-    step_3.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.0.produce')
-    step_3.add_output('produce')
-    step_3.add_hyperparameter(name='semantic_types', argument_type=ArgumentType.VALUE,
-                                                            data=['https://metadata.datadrivendiscovery.org/types/TrueTarget'])
-    pipeline_description.add_step(step_3)
-
-    attributes = 'steps.2.produce'
-    targets = 'steps.3.produce'
-
-    # Step 4: processing
-    step_4 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.timeseries_processing.transformation.axiswise_scaler'))
-    step_4.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference=attributes)
-    step_4.add_output('produce')
-    pipeline_description.add_step(step_4)
-
-    # Step 5: algorithm`
-    step_5 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.detection_algorithm.pyod_ae'))
-    step_5.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.4.produce')
-    step_5.add_hyperparameter(name='hidden_neurons', argument_type=ArgumentType.VALUE, data=[feature_dim, 32, 16, 32, feature_dim])
-    step_5.add_hyperparameter(name='contamination', argument_type=ArgumentType.VALUE, data=cont_rate)
-    step_5.add_output('produce')
-    pipeline_description.add_step(step_5)
-
-    # Step 6: Predictions
-    step_6 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.construct_predictions'))
-    step_6.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.5.produce')
-    step_6.add_argument(name='reference', argument_type=ArgumentType.CONTAINER, data_reference='steps.1.produce')
-    step_6.add_output('produce')
-    pipeline_description.add_step(step_6)
-
-    # Final Output
-    pipeline_description.add_output(name='output predictions', data_reference='steps.6.produce')
-
-    # Output to json
-    data = pipeline_description.to_json()
-    with open('./pipelines/AE/'+data_name+'/ae_pipeline_'+str(cont_rate)+'.json', 'w') as f:
-        f.write(data)
-        print(data)
-
diff --git a/benchmark/realworld_data/pipeline_construction/neural/build_RNNLSTM_pipeline.py b/benchmark/realworld_data/pipeline_construction/neural/build_RNNLSTM_pipeline.py
deleted file mode 100644
index 099ac7c..0000000
--- a/benchmark/realworld_data/pipeline_construction/neural/build_RNNLSTM_pipeline.py
+++ /dev/null
@@ -1,78 +0,0 @@
-import sys
-import pandas as pd
-
-dataset = sys.argv[1]
-data_name = dataset.split("/")[-1].split(".")[0]
-df = pd.read_csv(dataset)
-feature_dim = len(df.columns) - 1 # take off label
-
-from d3m import index
-from d3m.metadata.base import ArgumentType
-from d3m.metadata.pipeline import Pipeline, PrimitiveStep
-
-for cont_rate in [0.01, 0.05, 0.1, 0.15, 0.2, 0.25]:
-    # Creating pipeline
-    pipeline_description = Pipeline()
-    pipeline_description.add_input(name='inputs')
-
-    # Step 0: dataset_to_dataframe
-    step_0 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.dataset_to_dataframe'))
-    step_0.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='inputs.0')
-    step_0.add_output('produce')
-    pipeline_description.add_step(step_0)
-
-    # Step 1: column_parser
-    step_1 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.column_parser'))
-    step_1.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.0.produce')
-    step_1.add_output('produce')
-    pipeline_description.add_step(step_1)
-
-    # Step 2: extract_columns_by_semantic_types(attributes)
-    step_2 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.extract_columns_by_semantic_types'))
-    step_2.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.1.produce')
-    step_2.add_output('produce')
-    step_2.add_hyperparameter(name='semantic_types', argument_type=ArgumentType.VALUE,
-                                                              data=['https://metadata.datadrivendiscovery.org/types/Attribute'])
-    pipeline_description.add_step(step_2)
-
-    # Step 3: extract_columns_by_semantic_types(targets)
-    step_3 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.extract_columns_by_semantic_types'))
-    step_3.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.0.produce')
-    step_3.add_output('produce')
-    step_3.add_hyperparameter(name='semantic_types', argument_type=ArgumentType.VALUE,
-                                                            data=['https://metadata.datadrivendiscovery.org/types/TrueTarget'])
-    pipeline_description.add_step(step_3)
-
-    attributes = 'steps.2.produce'
-    targets = 'steps.3.produce'
-
-    # Step 4: processing
-    step_4 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.timeseries_processing.transformation.axiswise_scaler'))
-    step_4.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference=attributes)
-    step_4.add_output('produce')
-    pipeline_description.add_step(step_4)
-
-    # Step 5: algorithm`
-    step_5 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.detection_algorithm.LSTMODetector'))
-    step_5.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.4.produce')
-    step_5.add_hyperparameter(name='feature_dim', argument_type=ArgumentType.VALUE, data=feature_dim)
-    step_5.add_hyperparameter(name='contamination', argument_type=ArgumentType.VALUE, data=cont_rate)
-    step_5.add_output('produce')
-    pipeline_description.add_step(step_5)
-
-    # Step 6: Predictions
-    step_6 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.construct_predictions'))
-    step_6.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.5.produce')
-    step_6.add_argument(name='reference', argument_type=ArgumentType.CONTAINER, data_reference='steps.1.produce')
-    step_6.add_output('produce')
-    pipeline_description.add_step(step_6)
-
-    # Final Output
-    pipeline_description.add_output(name='output predictions', data_reference='steps.6.produce')
-
-    # Output to json
-    data = pipeline_description.to_json()
-    with open('./pipelines/RNN_LSTM/'+data_name+'/rnnlstm_pipeline_'+str(cont_rate)+'.json', 'w') as f:
-        f.write(data)
-        print(data)
-
diff --git a/benchmark/realworld_data/pipeline_construction/pipeline_construction_simple.py b/benchmark/realworld_data/pipeline_construction/pipeline_construction_simple.py
deleted file mode 100644
index e6e9959..0000000
--- a/benchmark/realworld_data/pipeline_construction/pipeline_construction_simple.py
+++ /dev/null
@@ -1,183 +0,0 @@
-import uuid
-import random
-
-from d3m.metadata.pipeline import Pipeline
-
-from axolotl.algorithms.base import PipelineSearchBase
-from axolotl.utils import  schemas as schemas_utils
-
-primitive_python_paths = { # pragma: no cover
-    'data_processing': [
-        #'d3m.primitives.tods.data_processing.time_interval_transform',
-        #'d3m.primitives.tods.data_processing.categorical_to_binary',
-        #'d3m.primitives.tods.data_processing.column_filter',
-        #'d3m.primitives.tods.data_processing.timestamp_validation',
-        #'d3m.primitives.tods.data_processing.duplication_validation',
-        #'d3m.primitives.tods.data_processing.continuity_validation',
-    ],
-    'timeseries_processing': [
-        #'d3m.primitives.tods.timeseries_processing.transformation.axiswise_scaler',
-        #'d3m.primitives.tods.timeseries_processing.subsequence_segmentation',
-        'd3m.primitives.tods.timeseries_processing.transformation.standard_scaler',
-        #'d3m.primitives.tods.timeseries_processing.transformation.power_transformer',
-        #'d3m.primitives.tods.timeseries_processing.transformation.quantile_transformer',
-        #'d3m.primitives.tods.timeseries_processing.transformation.moving_average_transform',
-        #'d3m.primitives.tods.timeseries_processing.transformation.simple_exponential_smoothing',
-        #'d3m.primitives.tods.timeseries_processing.transformation.holt_smoothing',
-        #'d3m.primitives.tods.timeseries_processing.transformation.holt_winters_exponential_smoothing',
-        #'d3m.primitives.tods.timeseries_processing.decomposition.time_series_seasonality_trend_decomposition',
-    ],
-    'feature_analysis': [
-        #'d3m.primitives.tods.feature_analysis.auto_correlation',
-        #'d3m.primitives.tods.feature_analysis.statistical_mean',
-        #'d3m.primitives.tods.feature_analysis.statistical_median',
-        #'d3m.primitives.tods.feature_analysis.statistical_g_mean',
-        #'d3m.primitives.tods.feature_analysis.statistical_abs_energy',
-        #'d3m.primitives.tods.feature_analysis.statistical_abs_sum',
-        #'d3m.primitives.tods.feature_analysis.statistical_h_mean',
-        #'d3m.primitives.tods.feature_analysis.statistical_maximum',
-        #'d3m.primitives.tods.feature_analysis.statistical_minimum',
-        #'d3m.primitives.tods.feature_analysis.statistical_mean_abs',
-        #'d3m.primitives.tods.feature_analysis.statistical_mean_abs_temporal_derivative',
-        #'d3m.primitives.tods.feature_analysis.statistical_mean_temporal_derivative',
-        #'d3m.primitives.tods.feature_analysis.statistical_median_abs_deviation',
-        #'d3m.primitives.tods.feature_analysis.statistical_kurtosis',
-        #'d3m.primitives.tods.feature_analysis.statistical_skew',
-        #'d3m.primitives.tods.feature_analysis.statistical_std',
-        #'d3m.primitives.tods.feature_analysis.statistical_var',
-        #'d3m.primitives.tods.feature_analysis.statistical_variation',
-        #'d3m.primitives.tods.feature_analysis.statistical_vec_sum',
-        #'d3m.primitives.tods.feature_analysis.statistical_willison_amplitude',
-        #'d3m.primitives.tods.feature_analysis.statistical_zero_crossing',
-        #'d3m.primitives.tods.feature_analysis.spectral_residual_transform',
-        #'d3m.primitives.tods.feature_analysis.fast_fourier_transform',
-        #'d3m.primitives.tods.feature_analysis.discrete_cosine_transform',
-        #'d3m.primitives.tods.feature_analysis.non_negative_matrix_factorization',
-        #'d3m.primitives.tods.feature_analysis.bk_filter',
-        #'d3m.primitives.tods.feature_analysis.hp_filter',
-        #'d3m.primitives.tods.feature_analysis.truncated_svd',
-        #'d3m.primitives.tods.feature_analysis.wavelet_transform',
-        #'d3m.primitives.tods.feature_analysis.trmf',
-    ],
-    'detection_algorithm': [
-        #'d3m.primitives.tods.detection_algorithm.pyod_ae',
-        #'d3m.primitives.tods.detection_algorithm.pyod_vae',
-        #'d3m.primitives.tods.detection_algorithm.pyod_cof',
-        #'d3m.primitives.tods.detection_algorithm.pyod_sod',
-        #'d3m.primitives.tods.detection_algorithm.pyod_abod',
-        #'d3m.primitives.tods.detection_algorithm.pyod_hbos',
-        'd3m.primitives.tods.detection_algorithm.pyod_iforest',
-        #'d3m.primitives.tods.detection_algorithm.pyod_lof',
-        #'d3m.primitives.tods.detection_algorithm.pyod_knn',
-        'd3m.primitives.tods.detection_algorithm.pyod_ocsvm',
-        #'d3m.primitives.tods.detection_algorithm.pyod_loda',
-        #'d3m.primitives.tods.detection_algorithm.pyod_cblof',
-        'd3m.primitives.tods.detection_algorithm.pyod_sogaal',
-        'd3m.primitives.tods.detection_algorithm.pyod_mogaal',
-        'd3m.primitives.tods.detection_algorithm.matrix_profile',
-        'd3m.primitives.tods.detection_algorithm.AutoRegODetector',
-        #'d3m.primitives.tods.detection_algorithm.LSTMODetector',
-        #'d3m.primitives.tods.detection_algorithm.AutoRegODetector',
-        #'d3m.primitives.tods.detection_algorithm.PCAODetector',
-        #'d3m.primitives.tods.detection_algorithm.KDiscordODetector',
-        #'d3m.primitives.tods.detection_algorithm.deeplog',
-        #'d3m.primitives.tods.detection_algorithm.telemanom',
-    ],
-    'contamination': [0.01, 0.05, 0.1, 0.15, 0.2, 0.25],
-}
-
-def _generate_pipeline(combinations):
-    from d3m import index
-    from d3m.metadata.base import ArgumentType
-    from d3m.metadata.pipeline import Pipeline, PrimitiveStep
-
-    piplines = []
-    for combination in combinations:
-        # Creating pipeline
-        pipeline_description = Pipeline()
-        pipeline_description.add_input(name='inputs')
-        
-        # The first three steps are fixed
-        # Step 0: dataset_to_dataframe
-        step_0 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.dataset_to_dataframe'))
-        step_0.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='inputs.0')
-        step_0.add_output('produce')
-        pipeline_description.add_step(step_0)
-
-        # Step 1: column_parser
-        step_1 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.column_parser'))
-        step_1.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.0.produce')
-        step_1.add_output('produce')
-        pipeline_description.add_step(step_1)
-
-        # Step 2: extract_columns_by_semantic_types(attributes)
-        step_2 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.extract_columns_by_semantic_types'))
-        step_2.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.1.produce')
-        step_2.add_output('produce')
-        step_2.add_hyperparameter(name='semantic_types', argument_type=ArgumentType.VALUE,
-                                                                  data=['https://metadata.datadrivendiscovery.org/types/Attribute'])
-        pipeline_description.add_step(step_2)
-
-        # Step 3: extract_columns_by_semantic_types(targets)
-        step_3 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.extract_columns_by_semantic_types'))
-        step_3.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.0.produce')
-        step_3.add_output('produce')
-        step_3.add_hyperparameter(name='semantic_types', argument_type=ArgumentType.VALUE,
-                                                                data=['https://metadata.datadrivendiscovery.org/types/TrueTarget'])
-        pipeline_description.add_step(step_3)
-
-        attributes = 'steps.2.produce'
-        targets = 'steps.3.produce'
-
-        tods_step_4 = PrimitiveStep(primitive=index.get_primitive(combination[0]))
-        tods_step_4.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference=attributes)
-        #tods_step_4.add_hyperparameter(name='window_size', argument_type=ArgumentType.VALUE, data=10)
-        #tods_step_4.add_hyperparameter(name='step', argument_type=ArgumentType.VALUE, data=1)
-        tods_step_4.add_output('produce')
-        pipeline_description.add_step(tods_step_4)
-
-        tods_step_5= PrimitiveStep(primitive=index.get_primitive(combination[1]))
-        tods_step_5.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.4.produce')
-        tods_step_5.add_output('produce')
-        tods_step_5.add_hyperparameter(name='contamination', argument_type=ArgumentType.VALUE, data=combination[2])
-        pipeline_description.add_step(tods_step_5)
-
-        # Finalize the pipeline
-        final_step = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.construct_predictions'))
-        final_step.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.5.produce')
-        final_step.add_argument(name='reference', argument_type=ArgumentType.CONTAINER, data_reference='steps.1.produce')
-        final_step.add_output('produce')
-        pipeline_description.add_step(final_step)
-
-        pipeline_description.add_output(name='output predictions', data_reference='steps.6.produce')
-        data = pipeline_description.to_json()
-        #with open('../pipelines/'+str(combination[1].split(".")[-1])+'_'+str(combination[2])+".json", 'w') as f:
-        with open('./pipelines/simple/'+str(combination[1].split(".")[-1])+'_'+str(combination[2])+".json", 'w') as f:
-            f.write(data)
-        pipeline_description.id = str(uuid.uuid4())
-        pipeline_description.created = Pipeline().created
-        piplines.append(pipeline_description)
-    return piplines
-
-def _generate_pipelines(primitive_python_paths, cpu_count=40): # pragma: no cover
-    """
-    Args:
-        primitive_python_paths: a list of primitive Python paths for algorithms
-    
-    Returns:
-        the pipline description json
-    """
-    import itertools
-    import multiprocessing as mp
-
-    #components = ['data_processing', 'timeseries_processing', 'feature_analysis', 'detection_algorithm']
-    components = ['timeseries_processing', 'detection_algorithm', 'contamination']
-    combinations = itertools.product(*(primitive_python_paths[k] for k in components))
-
-
-    return _generate_pipeline(combinations)
-
-
-if __name__ == "__main__":
-    combinations = _generate_pipelines(primitive_python_paths)
-    print(combinations)
diff --git a/benchmark/realworld_data/pipeline_construction/pipeline_construction_subseq.py b/benchmark/realworld_data/pipeline_construction/pipeline_construction_subseq.py
deleted file mode 100644
index a3df2d7..0000000
--- a/benchmark/realworld_data/pipeline_construction/pipeline_construction_subseq.py
+++ /dev/null
@@ -1,183 +0,0 @@
-import uuid
-import random
-
-from d3m.metadata.pipeline import Pipeline
-
-from axolotl.algorithms.base import PipelineSearchBase
-from axolotl.utils import  schemas as schemas_utils
-
-primitive_python_paths = { # pragma: no cover
-    'data_processing': [
-        #'d3m.primitives.tods.data_processing.time_interval_transform',
-        #'d3m.primitives.tods.data_processing.categorical_to_binary',
-        #'d3m.primitives.tods.data_processing.column_filter',
-        #'d3m.primitives.tods.data_processing.timestamp_validation',
-        #'d3m.primitives.tods.data_processing.duplication_validation',
-        #'d3m.primitives.tods.data_processing.continuity_validation',
-    ],
-    'timeseries_processing': [
-        #'d3m.primitives.tods.timeseries_processing.transformation.axiswise_scaler',
-        'd3m.primitives.tods.timeseries_processing.subsequence_segmentation',
-        #'d3m.primitives.tods.timeseries_processing.transformation.standard_scaler',
-        #'d3m.primitives.tods.timeseries_processing.transformation.power_transformer',
-        #'d3m.primitives.tods.timeseries_processing.transformation.quantile_transformer',
-        #'d3m.primitives.tods.timeseries_processing.transformation.moving_average_transform',
-        #'d3m.primitives.tods.timeseries_processing.transformation.simple_exponential_smoothing',
-        #'d3m.primitives.tods.timeseries_processing.transformation.holt_smoothing',
-        #'d3m.primitives.tods.timeseries_processing.transformation.holt_winters_exponential_smoothing',
-        #'d3m.primitives.tods.timeseries_processing.decomposition.time_series_seasonality_trend_decomposition',
-    ],
-    'feature_analysis': [
-        #'d3m.primitives.tods.feature_analysis.auto_correlation',
-        #'d3m.primitives.tods.feature_analysis.statistical_mean',
-        #'d3m.primitives.tods.feature_analysis.statistical_median',
-        #'d3m.primitives.tods.feature_analysis.statistical_g_mean',
-        #'d3m.primitives.tods.feature_analysis.statistical_abs_energy',
-        #'d3m.primitives.tods.feature_analysis.statistical_abs_sum',
-        #'d3m.primitives.tods.feature_analysis.statistical_h_mean',
-        #'d3m.primitives.tods.feature_analysis.statistical_maximum',
-        #'d3m.primitives.tods.feature_analysis.statistical_minimum',
-        #'d3m.primitives.tods.feature_analysis.statistical_mean_abs',
-        #'d3m.primitives.tods.feature_analysis.statistical_mean_abs_temporal_derivative',
-        #'d3m.primitives.tods.feature_analysis.statistical_mean_temporal_derivative',
-        #'d3m.primitives.tods.feature_analysis.statistical_median_abs_deviation',
-        #'d3m.primitives.tods.feature_analysis.statistical_kurtosis',
-        #'d3m.primitives.tods.feature_analysis.statistical_skew',
-        #'d3m.primitives.tods.feature_analysis.statistical_std',
-        #'d3m.primitives.tods.feature_analysis.statistical_var',
-        #'d3m.primitives.tods.feature_analysis.statistical_variation',
-        #'d3m.primitives.tods.feature_analysis.statistical_vec_sum',
-        #'d3m.primitives.tods.feature_analysis.statistical_willison_amplitude',
-        #'d3m.primitives.tods.feature_analysis.statistical_zero_crossing',
-        #'d3m.primitives.tods.feature_analysis.spectral_residual_transform',
-        #'d3m.primitives.tods.feature_analysis.fast_fourier_transform',
-        #'d3m.primitives.tods.feature_analysis.discrete_cosine_transform',
-        #'d3m.primitives.tods.feature_analysis.non_negative_matrix_factorization',
-        #'d3m.primitives.tods.feature_analysis.bk_filter',
-        #'d3m.primitives.tods.feature_analysis.hp_filter',
-        #'d3m.primitives.tods.feature_analysis.truncated_svd',
-        #'d3m.primitives.tods.feature_analysis.wavelet_transform',
-        #'d3m.primitives.tods.feature_analysis.trmf',
-    ],
-    'detection_algorithm': [
-        #'d3m.primitives.tods.detection_algorithm.pyod_ae',
-        #'d3m.primitives.tods.detection_algorithm.pyod_vae',
-        #'d3m.primitives.tods.detection_algorithm.pyod_cof',
-        #'d3m.primitives.tods.detection_algorithm.pyod_sod',
-        #'d3m.primitives.tods.detection_algorithm.pyod_abod',
-        #'d3m.primitives.tods.detection_algorithm.pyod_hbos',
-        'd3m.primitives.tods.detection_algorithm.pyod_iforest',
-        #'d3m.primitives.tods.detection_algorithm.pyod_lof',
-        #'d3m.primitives.tods.detection_algorithm.pyod_knn',
-        'd3m.primitives.tods.detection_algorithm.pyod_ocsvm',
-        #'d3m.primitives.tods.detection_algorithm.pyod_loda',
-        #'d3m.primitives.tods.detection_algorithm.pyod_cblof',
-        'd3m.primitives.tods.detection_algorithm.pyod_sogaal',
-        #'d3m.primitives.tods.detection_algorithm.pyod_mogaal',
-        #'d3m.primitives.tods.detection_algorithm.matrix_profile',
-        #'d3m.primitives.tods.detection_algorithm.AutoRegODetector',
-        #'d3m.primitives.tods.detection_algorithm.LSTMODetector',
-        #'d3m.primitives.tods.detection_algorithm.AutoRegODetector',
-        #'d3m.primitives.tods.detection_algorithm.PCAODetector',
-        #'d3m.primitives.tods.detection_algorithm.KDiscordODetector',
-        #'d3m.primitives.tods.detection_algorithm.deeplog',
-        #'d3m.primitives.tods.detection_algorithm.telemanom',
-    ],
-    'contamination': [0.01, 0.05, 0.1, 0.15, 0.2, 0.25],
-}
-
-def _generate_pipeline(combinations):
-    from d3m import index
-    from d3m.metadata.base import ArgumentType
-    from d3m.metadata.pipeline import Pipeline, PrimitiveStep
-
-    piplines = []
-    for combination in combinations:
-        # Creating pipeline
-        pipeline_description = Pipeline()
-        pipeline_description.add_input(name='inputs')
-        
-        # The first three steps are fixed
-        # Step 0: dataset_to_dataframe
-        step_0 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.dataset_to_dataframe'))
-        step_0.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='inputs.0')
-        step_0.add_output('produce')
-        pipeline_description.add_step(step_0)
-
-        # Step 1: column_parser
-        step_1 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.column_parser'))
-        step_1.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.0.produce')
-        step_1.add_output('produce')
-        pipeline_description.add_step(step_1)
-
-        # Step 2: extract_columns_by_semantic_types(attributes)
-        step_2 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.extract_columns_by_semantic_types'))
-        step_2.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.1.produce')
-        step_2.add_output('produce')
-        step_2.add_hyperparameter(name='semantic_types', argument_type=ArgumentType.VALUE,
-                                                                  data=['https://metadata.datadrivendiscovery.org/types/Attribute'])
-        pipeline_description.add_step(step_2)
-
-        # Step 3: extract_columns_by_semantic_types(targets)
-        step_3 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.extract_columns_by_semantic_types'))
-        step_3.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.0.produce')
-        step_3.add_output('produce')
-        step_3.add_hyperparameter(name='semantic_types', argument_type=ArgumentType.VALUE,
-                                                                data=['https://metadata.datadrivendiscovery.org/types/TrueTarget'])
-        pipeline_description.add_step(step_3)
-
-        attributes = 'steps.2.produce'
-        targets = 'steps.3.produce'
-
-        tods_step_4 = PrimitiveStep(primitive=index.get_primitive(combination[0]))
-        tods_step_4.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference=attributes)
-        tods_step_4.add_hyperparameter(name='window_size', argument_type=ArgumentType.VALUE, data=10)
-        tods_step_4.add_hyperparameter(name='step', argument_type=ArgumentType.VALUE, data=1)
-        tods_step_4.add_output('produce')
-        pipeline_description.add_step(tods_step_4)
-
-        tods_step_5= PrimitiveStep(primitive=index.get_primitive(combination[1]))
-        tods_step_5.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.4.produce')
-        tods_step_5.add_output('produce')
-        tods_step_5.add_hyperparameter(name='contamination', argument_type=ArgumentType.VALUE, data=combination[2])
-        pipeline_description.add_step(tods_step_5)
-
-        # Finalize the pipeline
-        final_step = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.construct_predictions'))
-        final_step.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.5.produce')
-        final_step.add_argument(name='reference', argument_type=ArgumentType.CONTAINER, data_reference='steps.1.produce')
-        final_step.add_output('produce')
-        pipeline_description.add_step(final_step)
-
-        pipeline_description.add_output(name='output predictions', data_reference='steps.6.produce')
-        data = pipeline_description.to_json()
-        #with open('../pipelines/'+str(combination[1].split(".")[-1])+'_'+str(combination[2])+".json", 'w') as f:
-        with open('./pipelines/subseq/'+str(combination[1].split(".")[-1])+'_subseq_'+str(combination[2])+".json", 'w') as f:
-            f.write(data)
-        pipeline_description.id = str(uuid.uuid4())
-        pipeline_description.created = Pipeline().created
-        piplines.append(pipeline_description)
-    return piplines
-
-def _generate_pipelines(primitive_python_paths, cpu_count=40): # pragma: no cover
-    """
-    Args:
-        primitive_python_paths: a list of primitive Python paths for algorithms
-    
-    Returns:
-        the pipline description json
-    """
-    import itertools
-    import multiprocessing as mp
-
-    #components = ['data_processing', 'timeseries_processing', 'feature_analysis', 'detection_algorithm']
-    components = ['timeseries_processing', 'detection_algorithm', 'contamination']
-    combinations = itertools.product(*(primitive_python_paths[k] for k in components))
-
-
-    return _generate_pipeline(combinations)
-
-
-if __name__ == "__main__":
-    combinations = _generate_pipelines(primitive_python_paths)
-    print(combinations)
diff --git a/benchmark/realworld_data/pipelines/AE/creditcard/ae_pipeline_0.01.json b/benchmark/realworld_data/pipelines/AE/creditcard/ae_pipeline_0.01.json
deleted file mode 100644
index 415a4f5..0000000
--- a/benchmark/realworld_data/pipelines/AE/creditcard/ae_pipeline_0.01.json
+++ /dev/null
@@ -1 +0,0 @@
-{"id": "9913179f-f470-49fa-b373-a53603341cf7", "schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json", "created": "2021-06-01T20:36:06.644888Z", "inputs": [{"name": "inputs"}], "outputs": [{"data": "steps.6.produce", "name": "output predictions"}], "steps": [{"type": "PRIMITIVE", "primitive": {"id": "c78138d9-9377-31dc-aee8-83d9df049c60", "version": "0.3.0", "python_path": "d3m.primitives.tods.data_processing.dataset_to_dataframe", "name": "Extract a DataFrame from a Dataset"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "inputs.0"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "81235c29-aeb9-3828-911a-1b25319b6998", "version": "0.6.0", "python_path": "d3m.primitives.tods.data_processing.column_parser", "name": "Parses strings into their types"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "a996cd89-ddf0-367f-8e7f-8c013cbc2891", "version": "0.4.0", "python_path": "d3m.primitives.tods.data_processing.extract_columns_by_semantic_types", "name": "Extracts columns by semantic type"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.1.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"semantic_types": {"type": "VALUE", "data": ["https://metadata.datadrivendiscovery.org/types/Attribute"]}}}, {"type": "PRIMITIVE", "primitive": {"id": "a996cd89-ddf0-367f-8e7f-8c013cbc2891", "version": "0.4.0", "python_path": "d3m.primitives.tods.data_processing.extract_columns_by_semantic_types", "name": "Extracts columns by semantic type"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"semantic_types": {"type": "VALUE", "data": ["https://metadata.datadrivendiscovery.org/types/TrueTarget"]}}}, {"type": "PRIMITIVE", "primitive": {"id": "642de2e7-5590-3cab-9266-2a53c326c461", "version": "0.0.1", "python_path": "d3m.primitives.tods.timeseries_processing.transformation.axiswise_scaler", "name": "Axis_wise_scale"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.2.produce"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "67e7fcdf-d645-3417-9aa4-85cd369487d9", "version": "0.0.1", "python_path": "d3m.primitives.tods.detection_algorithm.pyod_ae", "name": "TODS.anomaly_detection_primitives.AutoEncoder"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.4.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"hidden_neurons": {"type": "VALUE", "data": [29, 32, 16, 32, 29]}, "contamination": {"type": "VALUE", "data": 0.01}}}, {"type": "PRIMITIVE", "primitive": {"id": "2530840a-07d4-3874-b7d8-9eb5e4ae2bf3", "version": "0.3.0", "python_path": "d3m.primitives.tods.data_processing.construct_predictions", "name": "Construct pipeline predictions output"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.5.produce"}, "reference": {"type": "CONTAINER", "data": "steps.1.produce"}}, "outputs": [{"id": "produce"}]}], "digest": "d42e26f9c3f72aaaf3935c651f6a54ef95dad4e3185d48eaed8001593aed3f43"}
\ No newline at end of file
diff --git a/benchmark/realworld_data/pipelines/AE/creditcard/ae_pipeline_0.05.json b/benchmark/realworld_data/pipelines/AE/creditcard/ae_pipeline_0.05.json
deleted file mode 100644
index ae2a360..0000000
--- a/benchmark/realworld_data/pipelines/AE/creditcard/ae_pipeline_0.05.json
+++ /dev/null
@@ -1 +0,0 @@
-{"id": "29622c5d-efe7-4686-8879-62cf363fb250", "schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json", "created": "2021-06-01T20:36:17.614201Z", "inputs": [{"name": "inputs"}], "outputs": [{"data": "steps.6.produce", "name": "output predictions"}], "steps": [{"type": "PRIMITIVE", "primitive": {"id": "c78138d9-9377-31dc-aee8-83d9df049c60", "version": "0.3.0", "python_path": "d3m.primitives.tods.data_processing.dataset_to_dataframe", "name": "Extract a DataFrame from a Dataset"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "inputs.0"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "81235c29-aeb9-3828-911a-1b25319b6998", "version": "0.6.0", "python_path": "d3m.primitives.tods.data_processing.column_parser", "name": "Parses strings into their types"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "a996cd89-ddf0-367f-8e7f-8c013cbc2891", "version": "0.4.0", "python_path": "d3m.primitives.tods.data_processing.extract_columns_by_semantic_types", "name": "Extracts columns by semantic type"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.1.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"semantic_types": {"type": "VALUE", "data": ["https://metadata.datadrivendiscovery.org/types/Attribute"]}}}, {"type": "PRIMITIVE", "primitive": {"id": "a996cd89-ddf0-367f-8e7f-8c013cbc2891", "version": "0.4.0", "python_path": "d3m.primitives.tods.data_processing.extract_columns_by_semantic_types", "name": "Extracts columns by semantic type"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"semantic_types": {"type": "VALUE", "data": ["https://metadata.datadrivendiscovery.org/types/TrueTarget"]}}}, {"type": "PRIMITIVE", "primitive": {"id": "642de2e7-5590-3cab-9266-2a53c326c461", "version": "0.0.1", "python_path": "d3m.primitives.tods.timeseries_processing.transformation.axiswise_scaler", "name": "Axis_wise_scale"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.2.produce"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "67e7fcdf-d645-3417-9aa4-85cd369487d9", "version": "0.0.1", "python_path": "d3m.primitives.tods.detection_algorithm.pyod_ae", "name": "TODS.anomaly_detection_primitives.AutoEncoder"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.4.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"hidden_neurons": {"type": "VALUE", "data": [29, 32, 16, 32, 29]}, "contamination": {"type": "VALUE", "data": 0.05}}}, {"type": "PRIMITIVE", "primitive": {"id": "2530840a-07d4-3874-b7d8-9eb5e4ae2bf3", "version": "0.3.0", "python_path": "d3m.primitives.tods.data_processing.construct_predictions", "name": "Construct pipeline predictions output"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.5.produce"}, "reference": {"type": "CONTAINER", "data": "steps.1.produce"}}, "outputs": [{"id": "produce"}]}], "digest": "a533ce0e6328b36d0b543acfad94d10917eb1b4e16a49e33df05d808ae50894d"}
\ No newline at end of file
diff --git a/benchmark/realworld_data/pipelines/AE/creditcard/ae_pipeline_0.1.json b/benchmark/realworld_data/pipelines/AE/creditcard/ae_pipeline_0.1.json
deleted file mode 100644
index f3d4056..0000000
--- a/benchmark/realworld_data/pipelines/AE/creditcard/ae_pipeline_0.1.json
+++ /dev/null
@@ -1 +0,0 @@
-{"id": "ccc31853-42c3-4d22-8d55-094d4dde69a0", "schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json", "created": "2021-06-01T20:36:17.660637Z", "inputs": [{"name": "inputs"}], "outputs": [{"data": "steps.6.produce", "name": "output predictions"}], "steps": [{"type": "PRIMITIVE", "primitive": {"id": "c78138d9-9377-31dc-aee8-83d9df049c60", "version": "0.3.0", "python_path": "d3m.primitives.tods.data_processing.dataset_to_dataframe", "name": "Extract a DataFrame from a Dataset"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "inputs.0"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "81235c29-aeb9-3828-911a-1b25319b6998", "version": "0.6.0", "python_path": "d3m.primitives.tods.data_processing.column_parser", "name": "Parses strings into their types"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "a996cd89-ddf0-367f-8e7f-8c013cbc2891", "version": "0.4.0", "python_path": "d3m.primitives.tods.data_processing.extract_columns_by_semantic_types", "name": "Extracts columns by semantic type"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.1.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"semantic_types": {"type": "VALUE", "data": ["https://metadata.datadrivendiscovery.org/types/Attribute"]}}}, {"type": "PRIMITIVE", "primitive": {"id": "a996cd89-ddf0-367f-8e7f-8c013cbc2891", "version": "0.4.0", "python_path": "d3m.primitives.tods.data_processing.extract_columns_by_semantic_types", "name": "Extracts columns by semantic type"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"semantic_types": {"type": "VALUE", "data": ["https://metadata.datadrivendiscovery.org/types/TrueTarget"]}}}, {"type": "PRIMITIVE", "primitive": {"id": "642de2e7-5590-3cab-9266-2a53c326c461", "version": "0.0.1", "python_path": "d3m.primitives.tods.timeseries_processing.transformation.axiswise_scaler", "name": "Axis_wise_scale"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.2.produce"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "67e7fcdf-d645-3417-9aa4-85cd369487d9", "version": "0.0.1", "python_path": "d3m.primitives.tods.detection_algorithm.pyod_ae", "name": "TODS.anomaly_detection_primitives.AutoEncoder"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.4.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"hidden_neurons": {"type": "VALUE", "data": [29, 32, 16, 32, 29]}, "contamination": {"type": "VALUE", "data": 0.1}}}, {"type": "PRIMITIVE", "primitive": {"id": "2530840a-07d4-3874-b7d8-9eb5e4ae2bf3", "version": "0.3.0", "python_path": "d3m.primitives.tods.data_processing.construct_predictions", "name": "Construct pipeline predictions output"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.5.produce"}, "reference": {"type": "CONTAINER", "data": "steps.1.produce"}}, "outputs": [{"id": "produce"}]}], "digest": "8c4e213f490f36966a8d529e7d3f9a9140d90d88c1635bac0519193e26659b98"}
\ No newline at end of file
diff --git a/benchmark/realworld_data/pipelines/AE/creditcard/ae_pipeline_0.15.json b/benchmark/realworld_data/pipelines/AE/creditcard/ae_pipeline_0.15.json
deleted file mode 100644
index 5ddb5ec..0000000
--- a/benchmark/realworld_data/pipelines/AE/creditcard/ae_pipeline_0.15.json
+++ /dev/null
@@ -1 +0,0 @@
-{"id": "b456f5aa-df45-4ebd-a21d-c4dd19df2eb9", "schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json", "created": "2021-06-01T20:36:17.716744Z", "inputs": [{"name": "inputs"}], "outputs": [{"data": "steps.6.produce", "name": "output predictions"}], "steps": [{"type": "PRIMITIVE", "primitive": {"id": "c78138d9-9377-31dc-aee8-83d9df049c60", "version": "0.3.0", "python_path": "d3m.primitives.tods.data_processing.dataset_to_dataframe", "name": "Extract a DataFrame from a Dataset"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "inputs.0"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "81235c29-aeb9-3828-911a-1b25319b6998", "version": "0.6.0", "python_path": "d3m.primitives.tods.data_processing.column_parser", "name": "Parses strings into their types"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "a996cd89-ddf0-367f-8e7f-8c013cbc2891", "version": "0.4.0", "python_path": "d3m.primitives.tods.data_processing.extract_columns_by_semantic_types", "name": "Extracts columns by semantic type"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.1.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"semantic_types": {"type": "VALUE", "data": ["https://metadata.datadrivendiscovery.org/types/Attribute"]}}}, {"type": "PRIMITIVE", "primitive": {"id": "a996cd89-ddf0-367f-8e7f-8c013cbc2891", "version": "0.4.0", "python_path": "d3m.primitives.tods.data_processing.extract_columns_by_semantic_types", "name": "Extracts columns by semantic type"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"semantic_types": {"type": "VALUE", "data": ["https://metadata.datadrivendiscovery.org/types/TrueTarget"]}}}, {"type": "PRIMITIVE", "primitive": {"id": "642de2e7-5590-3cab-9266-2a53c326c461", "version": "0.0.1", "python_path": "d3m.primitives.tods.timeseries_processing.transformation.axiswise_scaler", "name": "Axis_wise_scale"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.2.produce"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "67e7fcdf-d645-3417-9aa4-85cd369487d9", "version": "0.0.1", "python_path": "d3m.primitives.tods.detection_algorithm.pyod_ae", "name": "TODS.anomaly_detection_primitives.AutoEncoder"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.4.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"hidden_neurons": {"type": "VALUE", "data": [29, 32, 16, 32, 29]}, "contamination": {"type": "VALUE", "data": 0.15}}}, {"type": "PRIMITIVE", "primitive": {"id": "2530840a-07d4-3874-b7d8-9eb5e4ae2bf3", "version": "0.3.0", "python_path": "d3m.primitives.tods.data_processing.construct_predictions", "name": "Construct pipeline predictions output"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.5.produce"}, "reference": {"type": "CONTAINER", "data": "steps.1.produce"}}, "outputs": [{"id": "produce"}]}], "digest": "3e717015e7667bcdddf95145758017044a5e6138c58777305fd1f7c9288ae5f1"}
\ No newline at end of file
diff --git a/benchmark/realworld_data/pipelines/AE/creditcard/ae_pipeline_0.2.json b/benchmark/realworld_data/pipelines/AE/creditcard/ae_pipeline_0.2.json
deleted file mode 100644
index 441508e..0000000
--- a/benchmark/realworld_data/pipelines/AE/creditcard/ae_pipeline_0.2.json
+++ /dev/null
@@ -1 +0,0 @@
-{"id": "47a631e4-dbcc-4b44-8a8c-983280d130c9", "schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json", "created": "2021-06-01T20:36:17.772373Z", "inputs": [{"name": "inputs"}], "outputs": [{"data": "steps.6.produce", "name": "output predictions"}], "steps": [{"type": "PRIMITIVE", "primitive": {"id": "c78138d9-9377-31dc-aee8-83d9df049c60", "version": "0.3.0", "python_path": "d3m.primitives.tods.data_processing.dataset_to_dataframe", "name": "Extract a DataFrame from a Dataset"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "inputs.0"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "81235c29-aeb9-3828-911a-1b25319b6998", "version": "0.6.0", "python_path": "d3m.primitives.tods.data_processing.column_parser", "name": "Parses strings into their types"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "a996cd89-ddf0-367f-8e7f-8c013cbc2891", "version": "0.4.0", "python_path": "d3m.primitives.tods.data_processing.extract_columns_by_semantic_types", "name": "Extracts columns by semantic type"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.1.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"semantic_types": {"type": "VALUE", "data": ["https://metadata.datadrivendiscovery.org/types/Attribute"]}}}, {"type": "PRIMITIVE", "primitive": {"id": "a996cd89-ddf0-367f-8e7f-8c013cbc2891", "version": "0.4.0", "python_path": "d3m.primitives.tods.data_processing.extract_columns_by_semantic_types", "name": "Extracts columns by semantic type"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"semantic_types": {"type": "VALUE", "data": ["https://metadata.datadrivendiscovery.org/types/TrueTarget"]}}}, {"type": "PRIMITIVE", "primitive": {"id": "642de2e7-5590-3cab-9266-2a53c326c461", "version": "0.0.1", "python_path": "d3m.primitives.tods.timeseries_processing.transformation.axiswise_scaler", "name": "Axis_wise_scale"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.2.produce"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "67e7fcdf-d645-3417-9aa4-85cd369487d9", "version": "0.0.1", "python_path": "d3m.primitives.tods.detection_algorithm.pyod_ae", "name": "TODS.anomaly_detection_primitives.AutoEncoder"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.4.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"hidden_neurons": {"type": "VALUE", "data": [29, 32, 16, 32, 29]}, "contamination": {"type": "VALUE", "data": 0.2}}}, {"type": "PRIMITIVE", "primitive": {"id": "2530840a-07d4-3874-b7d8-9eb5e4ae2bf3", "version": "0.3.0", "python_path": "d3m.primitives.tods.data_processing.construct_predictions", "name": "Construct pipeline predictions output"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.5.produce"}, "reference": {"type": "CONTAINER", "data": "steps.1.produce"}}, "outputs": [{"id": "produce"}]}], "digest": "b98a156873f04bd6ba8c89add50556972e335e8eccb07b7000dea4883843245d"}
\ No newline at end of file
diff --git a/benchmark/realworld_data/pipelines/AE/creditcard/ae_pipeline_0.25.json b/benchmark/realworld_data/pipelines/AE/creditcard/ae_pipeline_0.25.json
deleted file mode 100644
index 63de785..0000000
--- a/benchmark/realworld_data/pipelines/AE/creditcard/ae_pipeline_0.25.json
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/benchmark/realworld_data/pipelines/AE/swan_sf/ae_pipeline_0.01.json b/benchmark/realworld_data/pipelines/AE/swan_sf/ae_pipeline_0.01.json
deleted file mode 100644
index 88b3cd1..0000000
--- a/benchmark/realworld_data/pipelines/AE/swan_sf/ae_pipeline_0.01.json
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diff --git a/benchmark/realworld_data/pipelines/AE/swan_sf/ae_pipeline_0.05.json b/benchmark/realworld_data/pipelines/AE/swan_sf/ae_pipeline_0.05.json
deleted file mode 100644
index 5bc0297..0000000
--- a/benchmark/realworld_data/pipelines/AE/swan_sf/ae_pipeline_0.05.json
+++ /dev/null
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diff --git a/benchmark/realworld_data/pipelines/AE/swan_sf/ae_pipeline_0.1.json b/benchmark/realworld_data/pipelines/AE/swan_sf/ae_pipeline_0.1.json
deleted file mode 100644
index 6742ee4..0000000
--- a/benchmark/realworld_data/pipelines/AE/swan_sf/ae_pipeline_0.1.json
+++ /dev/null
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diff --git a/benchmark/realworld_data/pipelines/AE/swan_sf/ae_pipeline_0.15.json b/benchmark/realworld_data/pipelines/AE/swan_sf/ae_pipeline_0.15.json
deleted file mode 100644
index 379efa6..0000000
--- a/benchmark/realworld_data/pipelines/AE/swan_sf/ae_pipeline_0.15.json
+++ /dev/null
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diff --git a/benchmark/realworld_data/pipelines/AE/swan_sf/ae_pipeline_0.2.json b/benchmark/realworld_data/pipelines/AE/swan_sf/ae_pipeline_0.2.json
deleted file mode 100644
index 981fd0c..0000000
--- a/benchmark/realworld_data/pipelines/AE/swan_sf/ae_pipeline_0.2.json
+++ /dev/null
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diff --git a/benchmark/realworld_data/pipelines/AE/swan_sf/ae_pipeline_0.25.json b/benchmark/realworld_data/pipelines/AE/swan_sf/ae_pipeline_0.25.json
deleted file mode 100644
index 5fd30ef..0000000
--- a/benchmark/realworld_data/pipelines/AE/swan_sf/ae_pipeline_0.25.json
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diff --git a/benchmark/realworld_data/pipelines/AE/water_quality/ae_pipeline_0.01.json b/benchmark/realworld_data/pipelines/AE/water_quality/ae_pipeline_0.01.json
deleted file mode 100644
index 9b526df..0000000
--- a/benchmark/realworld_data/pipelines/AE/water_quality/ae_pipeline_0.01.json
+++ /dev/null
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diff --git a/benchmark/realworld_data/pipelines/AE/water_quality/ae_pipeline_0.05.json b/benchmark/realworld_data/pipelines/AE/water_quality/ae_pipeline_0.05.json
deleted file mode 100644
index 8667333..0000000
--- a/benchmark/realworld_data/pipelines/AE/water_quality/ae_pipeline_0.05.json
+++ /dev/null
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diff --git a/benchmark/realworld_data/pipelines/AE/water_quality/ae_pipeline_0.1.json b/benchmark/realworld_data/pipelines/AE/water_quality/ae_pipeline_0.1.json
deleted file mode 100644
index 6b1443e..0000000
--- a/benchmark/realworld_data/pipelines/AE/water_quality/ae_pipeline_0.1.json
+++ /dev/null
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diff --git a/benchmark/realworld_data/pipelines/AE/water_quality/ae_pipeline_0.15.json b/benchmark/realworld_data/pipelines/AE/water_quality/ae_pipeline_0.15.json
deleted file mode 100644
index 5a01f1f..0000000
--- a/benchmark/realworld_data/pipelines/AE/water_quality/ae_pipeline_0.15.json
+++ /dev/null
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diff --git a/benchmark/realworld_data/pipelines/AE/water_quality/ae_pipeline_0.2.json b/benchmark/realworld_data/pipelines/AE/water_quality/ae_pipeline_0.2.json
deleted file mode 100644
index 5f45418..0000000
--- a/benchmark/realworld_data/pipelines/AE/water_quality/ae_pipeline_0.2.json
+++ /dev/null
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diff --git a/benchmark/realworld_data/pipelines/AE/water_quality/ae_pipeline_0.25.json b/benchmark/realworld_data/pipelines/AE/water_quality/ae_pipeline_0.25.json
deleted file mode 100644
index 00d3d17..0000000
--- a/benchmark/realworld_data/pipelines/AE/water_quality/ae_pipeline_0.25.json
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diff --git a/benchmark/realworld_data/pipelines/AE/web_attack/ae_pipeline_0.01.json b/benchmark/realworld_data/pipelines/AE/web_attack/ae_pipeline_0.01.json
deleted file mode 100644
index 58019a2..0000000
--- a/benchmark/realworld_data/pipelines/AE/web_attack/ae_pipeline_0.01.json
+++ /dev/null
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diff --git a/benchmark/realworld_data/pipelines/AE/web_attack/ae_pipeline_0.05.json b/benchmark/realworld_data/pipelines/AE/web_attack/ae_pipeline_0.05.json
deleted file mode 100644
index 9e3df23..0000000
--- a/benchmark/realworld_data/pipelines/AE/web_attack/ae_pipeline_0.05.json
+++ /dev/null
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diff --git a/benchmark/realworld_data/pipelines/AE/web_attack/ae_pipeline_0.1.json b/benchmark/realworld_data/pipelines/AE/web_attack/ae_pipeline_0.1.json
deleted file mode 100644
index 1ad087b..0000000
--- a/benchmark/realworld_data/pipelines/AE/web_attack/ae_pipeline_0.1.json
+++ /dev/null
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diff --git a/benchmark/realworld_data/pipelines/AE/web_attack/ae_pipeline_0.15.json b/benchmark/realworld_data/pipelines/AE/web_attack/ae_pipeline_0.15.json
deleted file mode 100644
index 6a07f79..0000000
--- a/benchmark/realworld_data/pipelines/AE/web_attack/ae_pipeline_0.15.json
+++ /dev/null
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diff --git a/benchmark/realworld_data/pipelines/AE/web_attack/ae_pipeline_0.2.json b/benchmark/realworld_data/pipelines/AE/web_attack/ae_pipeline_0.2.json
deleted file mode 100644
index b2c9238..0000000
--- a/benchmark/realworld_data/pipelines/AE/web_attack/ae_pipeline_0.2.json
+++ /dev/null
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diff --git a/benchmark/realworld_data/pipelines/AE/web_attack/ae_pipeline_0.25.json b/benchmark/realworld_data/pipelines/AE/web_attack/ae_pipeline_0.25.json
deleted file mode 100644
index 4edf7d2..0000000
--- a/benchmark/realworld_data/pipelines/AE/web_attack/ae_pipeline_0.25.json
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diff --git a/benchmark/realworld_data/pipelines/RNN_LSTM/creditcard/rnnlstm_pipeline_0.01.json b/benchmark/realworld_data/pipelines/RNN_LSTM/creditcard/rnnlstm_pipeline_0.01.json
deleted file mode 100644
index b3450fa..0000000
--- a/benchmark/realworld_data/pipelines/RNN_LSTM/creditcard/rnnlstm_pipeline_0.01.json
+++ /dev/null
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diff --git a/benchmark/realworld_data/pipelines/RNN_LSTM/creditcard/rnnlstm_pipeline_0.05.json b/benchmark/realworld_data/pipelines/RNN_LSTM/creditcard/rnnlstm_pipeline_0.05.json
deleted file mode 100644
index 2784c51..0000000
--- a/benchmark/realworld_data/pipelines/RNN_LSTM/creditcard/rnnlstm_pipeline_0.05.json
+++ /dev/null
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diff --git a/benchmark/realworld_data/pipelines/RNN_LSTM/creditcard/rnnlstm_pipeline_0.1.json b/benchmark/realworld_data/pipelines/RNN_LSTM/creditcard/rnnlstm_pipeline_0.1.json
deleted file mode 100644
index 819fa12..0000000
--- a/benchmark/realworld_data/pipelines/RNN_LSTM/creditcard/rnnlstm_pipeline_0.1.json
+++ /dev/null
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diff --git a/benchmark/realworld_data/pipelines/RNN_LSTM/creditcard/rnnlstm_pipeline_0.15.json b/benchmark/realworld_data/pipelines/RNN_LSTM/creditcard/rnnlstm_pipeline_0.15.json
deleted file mode 100644
index a44d3a3..0000000
--- a/benchmark/realworld_data/pipelines/RNN_LSTM/creditcard/rnnlstm_pipeline_0.15.json
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/benchmark/realworld_data/pipelines/RNN_LSTM/creditcard/rnnlstm_pipeline_0.2.json b/benchmark/realworld_data/pipelines/RNN_LSTM/creditcard/rnnlstm_pipeline_0.2.json
deleted file mode 100644
index 530ccde..0000000
--- a/benchmark/realworld_data/pipelines/RNN_LSTM/creditcard/rnnlstm_pipeline_0.2.json
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/benchmark/realworld_data/pipelines/RNN_LSTM/creditcard/rnnlstm_pipeline_0.25.json b/benchmark/realworld_data/pipelines/RNN_LSTM/creditcard/rnnlstm_pipeline_0.25.json
deleted file mode 100644
index 4c492fb..0000000
--- a/benchmark/realworld_data/pipelines/RNN_LSTM/creditcard/rnnlstm_pipeline_0.25.json
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diff --git a/benchmark/realworld_data/pipelines/RNN_LSTM/swan_sf/rnnlstm_pipeline_0.01.json b/benchmark/realworld_data/pipelines/RNN_LSTM/swan_sf/rnnlstm_pipeline_0.01.json
deleted file mode 100644
index b711265..0000000
--- a/benchmark/realworld_data/pipelines/RNN_LSTM/swan_sf/rnnlstm_pipeline_0.01.json
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diff --git a/benchmark/realworld_data/pipelines/RNN_LSTM/swan_sf/rnnlstm_pipeline_0.05.json b/benchmark/realworld_data/pipelines/RNN_LSTM/swan_sf/rnnlstm_pipeline_0.05.json
deleted file mode 100644
index 2bd64cd..0000000
--- a/benchmark/realworld_data/pipelines/RNN_LSTM/swan_sf/rnnlstm_pipeline_0.05.json
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diff --git a/benchmark/realworld_data/pipelines/RNN_LSTM/swan_sf/rnnlstm_pipeline_0.1.json b/benchmark/realworld_data/pipelines/RNN_LSTM/swan_sf/rnnlstm_pipeline_0.1.json
deleted file mode 100644
index 59817b4..0000000
--- a/benchmark/realworld_data/pipelines/RNN_LSTM/swan_sf/rnnlstm_pipeline_0.1.json
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diff --git a/benchmark/realworld_data/pipelines/RNN_LSTM/swan_sf/rnnlstm_pipeline_0.15.json b/benchmark/realworld_data/pipelines/RNN_LSTM/swan_sf/rnnlstm_pipeline_0.15.json
deleted file mode 100644
index a20f638..0000000
--- a/benchmark/realworld_data/pipelines/RNN_LSTM/swan_sf/rnnlstm_pipeline_0.15.json
+++ /dev/null
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diff --git a/benchmark/realworld_data/pipelines/RNN_LSTM/swan_sf/rnnlstm_pipeline_0.2.json b/benchmark/realworld_data/pipelines/RNN_LSTM/swan_sf/rnnlstm_pipeline_0.2.json
deleted file mode 100644
index 8168640..0000000
--- a/benchmark/realworld_data/pipelines/RNN_LSTM/swan_sf/rnnlstm_pipeline_0.2.json
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diff --git a/benchmark/realworld_data/pipelines/RNN_LSTM/swan_sf/rnnlstm_pipeline_0.25.json b/benchmark/realworld_data/pipelines/RNN_LSTM/swan_sf/rnnlstm_pipeline_0.25.json
deleted file mode 100644
index 6a5ba1b..0000000
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diff --git a/benchmark/realworld_data/pipelines/RNN_LSTM/water_quality/rnnlstm_pipeline_0.01.json b/benchmark/realworld_data/pipelines/RNN_LSTM/water_quality/rnnlstm_pipeline_0.01.json
deleted file mode 100644
index 123fb8d..0000000
--- a/benchmark/realworld_data/pipelines/RNN_LSTM/water_quality/rnnlstm_pipeline_0.01.json
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diff --git a/benchmark/realworld_data/pipelines/RNN_LSTM/water_quality/rnnlstm_pipeline_0.05.json b/benchmark/realworld_data/pipelines/RNN_LSTM/water_quality/rnnlstm_pipeline_0.05.json
deleted file mode 100644
index 66e90c4..0000000
--- a/benchmark/realworld_data/pipelines/RNN_LSTM/water_quality/rnnlstm_pipeline_0.05.json
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diff --git a/benchmark/realworld_data/pipelines/RNN_LSTM/water_quality/rnnlstm_pipeline_0.1.json b/benchmark/realworld_data/pipelines/RNN_LSTM/water_quality/rnnlstm_pipeline_0.1.json
deleted file mode 100644
index 2200d3d..0000000
--- a/benchmark/realworld_data/pipelines/RNN_LSTM/water_quality/rnnlstm_pipeline_0.1.json
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diff --git a/benchmark/realworld_data/pipelines/RNN_LSTM/water_quality/rnnlstm_pipeline_0.15.json b/benchmark/realworld_data/pipelines/RNN_LSTM/water_quality/rnnlstm_pipeline_0.15.json
deleted file mode 100644
index 3e899f6..0000000
--- a/benchmark/realworld_data/pipelines/RNN_LSTM/water_quality/rnnlstm_pipeline_0.15.json
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diff --git a/benchmark/realworld_data/pipelines/RNN_LSTM/water_quality/rnnlstm_pipeline_0.2.json b/benchmark/realworld_data/pipelines/RNN_LSTM/water_quality/rnnlstm_pipeline_0.2.json
deleted file mode 100644
index 127175f..0000000
--- a/benchmark/realworld_data/pipelines/RNN_LSTM/water_quality/rnnlstm_pipeline_0.2.json
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diff --git a/benchmark/realworld_data/pipelines/RNN_LSTM/water_quality/rnnlstm_pipeline_0.25.json b/benchmark/realworld_data/pipelines/RNN_LSTM/water_quality/rnnlstm_pipeline_0.25.json
deleted file mode 100644
index e27175c..0000000
--- a/benchmark/realworld_data/pipelines/RNN_LSTM/water_quality/rnnlstm_pipeline_0.25.json
+++ /dev/null
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diff --git a/benchmark/realworld_data/pipelines/RNN_LSTM/web_attack/rnnlstm_pipeline_0.01.json b/benchmark/realworld_data/pipelines/RNN_LSTM/web_attack/rnnlstm_pipeline_0.01.json
deleted file mode 100644
index fe2798a..0000000
--- a/benchmark/realworld_data/pipelines/RNN_LSTM/web_attack/rnnlstm_pipeline_0.01.json
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diff --git a/benchmark/realworld_data/pipelines/RNN_LSTM/web_attack/rnnlstm_pipeline_0.05.json b/benchmark/realworld_data/pipelines/RNN_LSTM/web_attack/rnnlstm_pipeline_0.05.json
deleted file mode 100644
index bc2e13c..0000000
--- a/benchmark/realworld_data/pipelines/RNN_LSTM/web_attack/rnnlstm_pipeline_0.05.json
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diff --git a/benchmark/realworld_data/pipelines/RNN_LSTM/web_attack/rnnlstm_pipeline_0.1.json b/benchmark/realworld_data/pipelines/RNN_LSTM/web_attack/rnnlstm_pipeline_0.1.json
deleted file mode 100644
index 620b325..0000000
--- a/benchmark/realworld_data/pipelines/RNN_LSTM/web_attack/rnnlstm_pipeline_0.1.json
+++ /dev/null
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diff --git a/benchmark/realworld_data/pipelines/RNN_LSTM/web_attack/rnnlstm_pipeline_0.15.json b/benchmark/realworld_data/pipelines/RNN_LSTM/web_attack/rnnlstm_pipeline_0.15.json
deleted file mode 100644
index 2d5d08d..0000000
--- a/benchmark/realworld_data/pipelines/RNN_LSTM/web_attack/rnnlstm_pipeline_0.15.json
+++ /dev/null
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diff --git a/benchmark/realworld_data/pipelines/RNN_LSTM/web_attack/rnnlstm_pipeline_0.2.json b/benchmark/realworld_data/pipelines/RNN_LSTM/web_attack/rnnlstm_pipeline_0.2.json
deleted file mode 100644
index 7a1f4d1..0000000
--- a/benchmark/realworld_data/pipelines/RNN_LSTM/web_attack/rnnlstm_pipeline_0.2.json
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deleted file mode 100644
index 2283b12..0000000
--- a/benchmark/realworld_data/pipelines/RNN_LSTM/web_attack/rnnlstm_pipeline_0.25.json
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diff --git a/benchmark/realworld_data/pipelines/simple/AutoRegODetector_0.01.json b/benchmark/realworld_data/pipelines/simple/AutoRegODetector_0.01.json
deleted file mode 100644
index 37c3ad9..0000000
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diff --git a/benchmark/realworld_data/pipelines/simple/AutoRegODetector_0.05.json b/benchmark/realworld_data/pipelines/simple/AutoRegODetector_0.05.json
deleted file mode 100644
index cb16fc6..0000000
--- a/benchmark/realworld_data/pipelines/simple/AutoRegODetector_0.05.json
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diff --git a/benchmark/realworld_data/pipelines/simple/AutoRegODetector_0.1.json b/benchmark/realworld_data/pipelines/simple/AutoRegODetector_0.1.json
deleted file mode 100644
index 457b47d..0000000
--- a/benchmark/realworld_data/pipelines/simple/AutoRegODetector_0.1.json
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diff --git a/benchmark/realworld_data/pipelines/simple/AutoRegODetector_0.15.json b/benchmark/realworld_data/pipelines/simple/AutoRegODetector_0.15.json
deleted file mode 100644
index f11f18c..0000000
--- a/benchmark/realworld_data/pipelines/simple/AutoRegODetector_0.15.json
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diff --git a/benchmark/realworld_data/pipelines/simple/AutoRegODetector_0.2.json b/benchmark/realworld_data/pipelines/simple/AutoRegODetector_0.2.json
deleted file mode 100644
index 4f87704..0000000
--- a/benchmark/realworld_data/pipelines/simple/AutoRegODetector_0.2.json
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deleted file mode 100644
index 3ad2f64..0000000
--- a/benchmark/realworld_data/pipelines/simple/AutoRegODetector_0.25.json
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diff --git a/benchmark/realworld_data/pipelines/simple/matrix_profile_0.01.json b/benchmark/realworld_data/pipelines/simple/matrix_profile_0.01.json
deleted file mode 100644
index b29c112..0000000
--- a/benchmark/realworld_data/pipelines/simple/matrix_profile_0.01.json
+++ /dev/null
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diff --git a/benchmark/realworld_data/pipelines/simple/matrix_profile_0.05.json b/benchmark/realworld_data/pipelines/simple/matrix_profile_0.05.json
deleted file mode 100644
index 31bea93..0000000
--- a/benchmark/realworld_data/pipelines/simple/matrix_profile_0.05.json
+++ /dev/null
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diff --git a/benchmark/realworld_data/pipelines/simple/matrix_profile_0.1.json b/benchmark/realworld_data/pipelines/simple/matrix_profile_0.1.json
deleted file mode 100644
index 27fc747..0000000
--- a/benchmark/realworld_data/pipelines/simple/matrix_profile_0.1.json
+++ /dev/null
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diff --git a/benchmark/realworld_data/pipelines/simple/matrix_profile_0.15.json b/benchmark/realworld_data/pipelines/simple/matrix_profile_0.15.json
deleted file mode 100644
index 61e8b21..0000000
--- a/benchmark/realworld_data/pipelines/simple/matrix_profile_0.15.json
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/benchmark/realworld_data/pipelines/simple/matrix_profile_0.2.json b/benchmark/realworld_data/pipelines/simple/matrix_profile_0.2.json
deleted file mode 100644
index f6f4d0b..0000000
--- a/benchmark/realworld_data/pipelines/simple/matrix_profile_0.2.json
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deleted file mode 100644
index fbb6bc5..0000000
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diff --git a/benchmark/realworld_data/pipelines/simple/pyod_iforest_0.01.json b/benchmark/realworld_data/pipelines/simple/pyod_iforest_0.01.json
deleted file mode 100644
index c8f1ebc..0000000
--- a/benchmark/realworld_data/pipelines/simple/pyod_iforest_0.01.json
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diff --git a/benchmark/realworld_data/pipelines/simple/pyod_iforest_0.05.json b/benchmark/realworld_data/pipelines/simple/pyod_iforest_0.05.json
deleted file mode 100644
index ce673d2..0000000
--- a/benchmark/realworld_data/pipelines/simple/pyod_iforest_0.05.json
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diff --git a/benchmark/realworld_data/pipelines/simple/pyod_iforest_0.1.json b/benchmark/realworld_data/pipelines/simple/pyod_iforest_0.1.json
deleted file mode 100644
index 72163c4..0000000
--- a/benchmark/realworld_data/pipelines/simple/pyod_iforest_0.1.json
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diff --git a/benchmark/realworld_data/pipelines/simple/pyod_iforest_0.15.json b/benchmark/realworld_data/pipelines/simple/pyod_iforest_0.15.json
deleted file mode 100644
index af4ee20..0000000
--- a/benchmark/realworld_data/pipelines/simple/pyod_iforest_0.15.json
+++ /dev/null
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diff --git a/benchmark/realworld_data/pipelines/simple/pyod_iforest_0.2.json b/benchmark/realworld_data/pipelines/simple/pyod_iforest_0.2.json
deleted file mode 100644
index 6b4e36d..0000000
--- a/benchmark/realworld_data/pipelines/simple/pyod_iforest_0.2.json
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diff --git a/benchmark/realworld_data/pipelines/simple/pyod_iforest_0.25.json b/benchmark/realworld_data/pipelines/simple/pyod_iforest_0.25.json
deleted file mode 100644
index d77b055..0000000
--- a/benchmark/realworld_data/pipelines/simple/pyod_iforest_0.25.json
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diff --git a/benchmark/realworld_data/pipelines/simple/pyod_mogaal_0.01.json b/benchmark/realworld_data/pipelines/simple/pyod_mogaal_0.01.json
deleted file mode 100644
index 8ee45a9..0000000
--- a/benchmark/realworld_data/pipelines/simple/pyod_mogaal_0.01.json
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diff --git a/benchmark/realworld_data/pipelines/simple/pyod_mogaal_0.05.json b/benchmark/realworld_data/pipelines/simple/pyod_mogaal_0.05.json
deleted file mode 100644
index 5407a0c..0000000
--- a/benchmark/realworld_data/pipelines/simple/pyod_mogaal_0.05.json
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diff --git a/benchmark/realworld_data/pipelines/simple/pyod_mogaal_0.1.json b/benchmark/realworld_data/pipelines/simple/pyod_mogaal_0.1.json
deleted file mode 100644
index e089af3..0000000
--- a/benchmark/realworld_data/pipelines/simple/pyod_mogaal_0.1.json
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diff --git a/benchmark/realworld_data/pipelines/simple/pyod_mogaal_0.15.json b/benchmark/realworld_data/pipelines/simple/pyod_mogaal_0.15.json
deleted file mode 100644
index f3e4b5a..0000000
--- a/benchmark/realworld_data/pipelines/simple/pyod_mogaal_0.15.json
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diff --git a/benchmark/realworld_data/pipelines/simple/pyod_mogaal_0.2.json b/benchmark/realworld_data/pipelines/simple/pyod_mogaal_0.2.json
deleted file mode 100644
index f7f15ac..0000000
--- a/benchmark/realworld_data/pipelines/simple/pyod_mogaal_0.2.json
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diff --git a/benchmark/realworld_data/pipelines/simple/pyod_mogaal_0.25.json b/benchmark/realworld_data/pipelines/simple/pyod_mogaal_0.25.json
deleted file mode 100644
index d606090..0000000
--- a/benchmark/realworld_data/pipelines/simple/pyod_mogaal_0.25.json
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diff --git a/benchmark/realworld_data/pipelines/simple/pyod_ocsvm_0.01.json b/benchmark/realworld_data/pipelines/simple/pyod_ocsvm_0.01.json
deleted file mode 100644
index 7e56b3c..0000000
--- a/benchmark/realworld_data/pipelines/simple/pyod_ocsvm_0.01.json
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diff --git a/benchmark/realworld_data/pipelines/simple/pyod_ocsvm_0.05.json b/benchmark/realworld_data/pipelines/simple/pyod_ocsvm_0.05.json
deleted file mode 100644
index 3c508f2..0000000
--- a/benchmark/realworld_data/pipelines/simple/pyod_ocsvm_0.05.json
+++ /dev/null
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diff --git a/benchmark/realworld_data/pipelines/simple/pyod_ocsvm_0.1.json b/benchmark/realworld_data/pipelines/simple/pyod_ocsvm_0.1.json
deleted file mode 100644
index b8c2132..0000000
--- a/benchmark/realworld_data/pipelines/simple/pyod_ocsvm_0.1.json
+++ /dev/null
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diff --git a/benchmark/realworld_data/pipelines/simple/pyod_ocsvm_0.15.json b/benchmark/realworld_data/pipelines/simple/pyod_ocsvm_0.15.json
deleted file mode 100644
index 1a58029..0000000
--- a/benchmark/realworld_data/pipelines/simple/pyod_ocsvm_0.15.json
+++ /dev/null
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diff --git a/benchmark/realworld_data/pipelines/simple/pyod_ocsvm_0.2.json b/benchmark/realworld_data/pipelines/simple/pyod_ocsvm_0.2.json
deleted file mode 100644
index b8f2f77..0000000
--- a/benchmark/realworld_data/pipelines/simple/pyod_ocsvm_0.2.json
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deleted file mode 100644
index 38c7b21..0000000
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diff --git a/benchmark/realworld_data/pipelines/simple/pyod_sogaal_0.01.json b/benchmark/realworld_data/pipelines/simple/pyod_sogaal_0.01.json
deleted file mode 100644
index 2722872..0000000
--- a/benchmark/realworld_data/pipelines/simple/pyod_sogaal_0.01.json
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diff --git a/benchmark/realworld_data/pipelines/simple/pyod_sogaal_0.05.json b/benchmark/realworld_data/pipelines/simple/pyod_sogaal_0.05.json
deleted file mode 100644
index 2f70288..0000000
--- a/benchmark/realworld_data/pipelines/simple/pyod_sogaal_0.05.json
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diff --git a/benchmark/realworld_data/pipelines/simple/pyod_sogaal_0.1.json b/benchmark/realworld_data/pipelines/simple/pyod_sogaal_0.1.json
deleted file mode 100644
index 2832c63..0000000
--- a/benchmark/realworld_data/pipelines/simple/pyod_sogaal_0.1.json
+++ /dev/null
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diff --git a/benchmark/realworld_data/pipelines/simple/pyod_sogaal_0.15.json b/benchmark/realworld_data/pipelines/simple/pyod_sogaal_0.15.json
deleted file mode 100644
index f016f9c..0000000
--- a/benchmark/realworld_data/pipelines/simple/pyod_sogaal_0.15.json
+++ /dev/null
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diff --git a/benchmark/realworld_data/pipelines/simple/pyod_sogaal_0.2.json b/benchmark/realworld_data/pipelines/simple/pyod_sogaal_0.2.json
deleted file mode 100644
index de07608..0000000
--- a/benchmark/realworld_data/pipelines/simple/pyod_sogaal_0.2.json
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diff --git a/benchmark/realworld_data/pipelines/simple/pyod_sogaal_0.25.json b/benchmark/realworld_data/pipelines/simple/pyod_sogaal_0.25.json
deleted file mode 100644
index 1871358..0000000
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diff --git a/benchmark/realworld_data/pipelines/subseq/pyod_ae_subseq_0.01.json b/benchmark/realworld_data/pipelines/subseq/pyod_ae_subseq_0.01.json
deleted file mode 100644
index ed6d91f..0000000
--- a/benchmark/realworld_data/pipelines/subseq/pyod_ae_subseq_0.01.json
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diff --git a/benchmark/realworld_data/pipelines/subseq/pyod_ae_subseq_0.05.json b/benchmark/realworld_data/pipelines/subseq/pyod_ae_subseq_0.05.json
deleted file mode 100644
index 097aa77..0000000
--- a/benchmark/realworld_data/pipelines/subseq/pyod_ae_subseq_0.05.json
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diff --git a/benchmark/realworld_data/pipelines/subseq/pyod_ae_subseq_0.1.json b/benchmark/realworld_data/pipelines/subseq/pyod_ae_subseq_0.1.json
deleted file mode 100644
index 11be593..0000000
--- a/benchmark/realworld_data/pipelines/subseq/pyod_ae_subseq_0.1.json
+++ /dev/null
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diff --git a/benchmark/realworld_data/pipelines/subseq/pyod_ae_subseq_0.15.json b/benchmark/realworld_data/pipelines/subseq/pyod_ae_subseq_0.15.json
deleted file mode 100644
index f52b6fd..0000000
--- a/benchmark/realworld_data/pipelines/subseq/pyod_ae_subseq_0.15.json
+++ /dev/null
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diff --git a/benchmark/realworld_data/pipelines/subseq/pyod_ae_subseq_0.2.json b/benchmark/realworld_data/pipelines/subseq/pyod_ae_subseq_0.2.json
deleted file mode 100644
index e41b792..0000000
--- a/benchmark/realworld_data/pipelines/subseq/pyod_ae_subseq_0.2.json
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deleted file mode 100644
index 420bf3e..0000000
--- a/benchmark/realworld_data/pipelines/subseq/pyod_ae_subseq_0.25.json
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diff --git a/benchmark/realworld_data/pipelines/subseq/pyod_iforest_subseq_0.01.json b/benchmark/realworld_data/pipelines/subseq/pyod_iforest_subseq_0.01.json
deleted file mode 100644
index c7ed364..0000000
--- a/benchmark/realworld_data/pipelines/subseq/pyod_iforest_subseq_0.01.json
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diff --git a/benchmark/realworld_data/pipelines/subseq/pyod_iforest_subseq_0.05.json b/benchmark/realworld_data/pipelines/subseq/pyod_iforest_subseq_0.05.json
deleted file mode 100644
index 043abbb..0000000
--- a/benchmark/realworld_data/pipelines/subseq/pyod_iforest_subseq_0.05.json
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diff --git a/benchmark/realworld_data/pipelines/subseq/pyod_iforest_subseq_0.1.json b/benchmark/realworld_data/pipelines/subseq/pyod_iforest_subseq_0.1.json
deleted file mode 100644
index b7c48d1..0000000
--- a/benchmark/realworld_data/pipelines/subseq/pyod_iforest_subseq_0.1.json
+++ /dev/null
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diff --git a/benchmark/realworld_data/pipelines/subseq/pyod_iforest_subseq_0.15.json b/benchmark/realworld_data/pipelines/subseq/pyod_iforest_subseq_0.15.json
deleted file mode 100644
index bbd4b1f..0000000
--- a/benchmark/realworld_data/pipelines/subseq/pyod_iforest_subseq_0.15.json
+++ /dev/null
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diff --git a/benchmark/realworld_data/pipelines/subseq/pyod_iforest_subseq_0.2.json b/benchmark/realworld_data/pipelines/subseq/pyod_iforest_subseq_0.2.json
deleted file mode 100644
index 1046a1f..0000000
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deleted file mode 100644
index 57e7c35..0000000
--- a/benchmark/realworld_data/pipelines/subseq/pyod_iforest_subseq_0.25.json
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diff --git a/benchmark/realworld_data/pipelines/subseq/pyod_ocsvm_subseq_0.01.json b/benchmark/realworld_data/pipelines/subseq/pyod_ocsvm_subseq_0.01.json
deleted file mode 100644
index fa7cf6b..0000000
--- a/benchmark/realworld_data/pipelines/subseq/pyod_ocsvm_subseq_0.01.json
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diff --git a/benchmark/realworld_data/pipelines/subseq/pyod_ocsvm_subseq_0.05.json b/benchmark/realworld_data/pipelines/subseq/pyod_ocsvm_subseq_0.05.json
deleted file mode 100644
index 2c8f0a4..0000000
--- a/benchmark/realworld_data/pipelines/subseq/pyod_ocsvm_subseq_0.05.json
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diff --git a/benchmark/realworld_data/pipelines/subseq/pyod_ocsvm_subseq_0.1.json b/benchmark/realworld_data/pipelines/subseq/pyod_ocsvm_subseq_0.1.json
deleted file mode 100644
index d26b959..0000000
--- a/benchmark/realworld_data/pipelines/subseq/pyod_ocsvm_subseq_0.1.json
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diff --git a/benchmark/realworld_data/pipelines/subseq/pyod_ocsvm_subseq_0.15.json b/benchmark/realworld_data/pipelines/subseq/pyod_ocsvm_subseq_0.15.json
deleted file mode 100644
index c83ef1e..0000000
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deleted file mode 100644
index dabe8ef..0000000
--- a/benchmark/realworld_data/pipelines/subseq/pyod_ocsvm_subseq_0.2.json
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diff --git a/benchmark/realworld_data/pipelines/subseq/pyod_ocsvm_subseq_0.25.json b/benchmark/realworld_data/pipelines/subseq/pyod_ocsvm_subseq_0.25.json
deleted file mode 100644
index 6a98968..0000000
--- a/benchmark/realworld_data/pipelines/subseq/pyod_ocsvm_subseq_0.25.json
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diff --git a/benchmark/realworld_data/pipelines/subseq/pyod_sogaal_subseq_0.01.json b/benchmark/realworld_data/pipelines/subseq/pyod_sogaal_subseq_0.01.json
deleted file mode 100644
index cd71a5e..0000000
--- a/benchmark/realworld_data/pipelines/subseq/pyod_sogaal_subseq_0.01.json
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diff --git a/benchmark/realworld_data/pipelines/subseq/pyod_sogaal_subseq_0.05.json b/benchmark/realworld_data/pipelines/subseq/pyod_sogaal_subseq_0.05.json
deleted file mode 100644
index c261b99..0000000
--- a/benchmark/realworld_data/pipelines/subseq/pyod_sogaal_subseq_0.05.json
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diff --git a/benchmark/realworld_data/pipelines/subseq/pyod_sogaal_subseq_0.1.json b/benchmark/realworld_data/pipelines/subseq/pyod_sogaal_subseq_0.1.json
deleted file mode 100644
index 93a4dbc..0000000
--- a/benchmark/realworld_data/pipelines/subseq/pyod_sogaal_subseq_0.1.json
+++ /dev/null
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diff --git a/benchmark/realworld_data/pipelines/subseq/pyod_sogaal_subseq_0.15.json b/benchmark/realworld_data/pipelines/subseq/pyod_sogaal_subseq_0.15.json
deleted file mode 100644
index 9c28a48..0000000
--- a/benchmark/realworld_data/pipelines/subseq/pyod_sogaal_subseq_0.15.json
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/benchmark/realworld_data/pipelines/subseq/pyod_sogaal_subseq_0.2.json b/benchmark/realworld_data/pipelines/subseq/pyod_sogaal_subseq_0.2.json
deleted file mode 100644
index fd5c7d5..0000000
--- a/benchmark/realworld_data/pipelines/subseq/pyod_sogaal_subseq_0.2.json
+++ /dev/null
@@ -1 +0,0 @@
-{"id": "10eac2ce-b159-4a4e-a5e5-cf7afcbe7329", "schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json", "created": "2021-06-01T17:52:40.065510Z", "inputs": [{"name": "inputs"}], "outputs": [{"data": "steps.6.produce", "name": "output predictions"}], "steps": [{"type": "PRIMITIVE", "primitive": {"id": "c78138d9-9377-31dc-aee8-83d9df049c60", "version": "0.3.0", "python_path": "d3m.primitives.tods.data_processing.dataset_to_dataframe", "name": "Extract a DataFrame from a Dataset"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "inputs.0"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "81235c29-aeb9-3828-911a-1b25319b6998", "version": "0.6.0", "python_path": "d3m.primitives.tods.data_processing.column_parser", "name": "Parses strings into their types"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "a996cd89-ddf0-367f-8e7f-8c013cbc2891", "version": "0.4.0", "python_path": "d3m.primitives.tods.data_processing.extract_columns_by_semantic_types", "name": "Extracts columns by semantic type"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.1.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"semantic_types": {"type": "VALUE", "data": ["https://metadata.datadrivendiscovery.org/types/Attribute"]}}}, {"type": "PRIMITIVE", "primitive": {"id": "a996cd89-ddf0-367f-8e7f-8c013cbc2891", "version": "0.4.0", "python_path": "d3m.primitives.tods.data_processing.extract_columns_by_semantic_types", "name": "Extracts columns by semantic type"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"semantic_types": {"type": "VALUE", "data": ["https://metadata.datadrivendiscovery.org/types/TrueTarget"]}}}, {"type": "PRIMITIVE", "primitive": {"id": "7e875a62-b99c-340a-bbc8-ac63789fb2b4", "version": "0.0.1", "python_path": "d3m.primitives.tods.timeseries_processing.subsequence_segmentation", "name": "Subsequence Segmentation Primitive"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.2.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"window_size": {"type": "VALUE", "data": 10}, "step": {"type": "VALUE", "data": 1}}}, {"type": "PRIMITIVE", "primitive": {"id": "ca7993c9-e663-39a6-9569-751d5463ae3e", "version": "0.1.0", "python_path": "d3m.primitives.tods.detection_algorithm.pyod_sogaal", "name": "So_Gaal Anomaly Detection"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.4.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"contamination": {"type": "VALUE", "data": 0.2}}}, {"type": "PRIMITIVE", "primitive": {"id": "2530840a-07d4-3874-b7d8-9eb5e4ae2bf3", "version": "0.3.0", "python_path": "d3m.primitives.tods.data_processing.construct_predictions", "name": "Construct pipeline predictions output"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.5.produce"}, "reference": {"type": "CONTAINER", "data": "steps.1.produce"}}, "outputs": [{"id": "produce"}]}], "digest": "ab549b98fdd6604a03f0350e106484e246279f9693e25d42aa5bce4e65eb838c"}
\ No newline at end of file
diff --git a/benchmark/realworld_data/pipelines/subseq/pyod_sogaal_subseq_0.25.json b/benchmark/realworld_data/pipelines/subseq/pyod_sogaal_subseq_0.25.json
deleted file mode 100644
index 109d0c3..0000000
--- a/benchmark/realworld_data/pipelines/subseq/pyod_sogaal_subseq_0.25.json
+++ /dev/null
@@ -1 +0,0 @@
-{"id": "514bbbd4-7463-4251-b73d-1ae038e11f8e", "schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json", "created": "2021-06-01T17:52:40.094812Z", "inputs": [{"name": "inputs"}], "outputs": [{"data": "steps.6.produce", "name": "output predictions"}], "steps": [{"type": "PRIMITIVE", "primitive": {"id": "c78138d9-9377-31dc-aee8-83d9df049c60", "version": "0.3.0", "python_path": "d3m.primitives.tods.data_processing.dataset_to_dataframe", "name": "Extract a DataFrame from a Dataset"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "inputs.0"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "81235c29-aeb9-3828-911a-1b25319b6998", "version": "0.6.0", "python_path": "d3m.primitives.tods.data_processing.column_parser", "name": "Parses strings into their types"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "a996cd89-ddf0-367f-8e7f-8c013cbc2891", "version": "0.4.0", "python_path": "d3m.primitives.tods.data_processing.extract_columns_by_semantic_types", "name": "Extracts columns by semantic type"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.1.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"semantic_types": {"type": "VALUE", "data": ["https://metadata.datadrivendiscovery.org/types/Attribute"]}}}, {"type": "PRIMITIVE", "primitive": {"id": "a996cd89-ddf0-367f-8e7f-8c013cbc2891", "version": "0.4.0", "python_path": "d3m.primitives.tods.data_processing.extract_columns_by_semantic_types", "name": "Extracts columns by semantic type"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"semantic_types": {"type": "VALUE", "data": ["https://metadata.datadrivendiscovery.org/types/TrueTarget"]}}}, {"type": "PRIMITIVE", "primitive": {"id": "7e875a62-b99c-340a-bbc8-ac63789fb2b4", "version": "0.0.1", "python_path": "d3m.primitives.tods.timeseries_processing.subsequence_segmentation", "name": "Subsequence Segmentation Primitive"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.2.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"window_size": {"type": "VALUE", "data": 10}, "step": {"type": "VALUE", "data": 1}}}, {"type": "PRIMITIVE", "primitive": {"id": "ca7993c9-e663-39a6-9569-751d5463ae3e", "version": "0.1.0", "python_path": "d3m.primitives.tods.detection_algorithm.pyod_sogaal", "name": "So_Gaal Anomaly Detection"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.4.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"contamination": {"type": "VALUE", "data": 0.25}}}, {"type": "PRIMITIVE", "primitive": {"id": "2530840a-07d4-3874-b7d8-9eb5e4ae2bf3", "version": "0.3.0", "python_path": "d3m.primitives.tods.data_processing.construct_predictions", "name": "Construct pipeline predictions output"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.5.produce"}, "reference": {"type": "CONTAINER", "data": "steps.1.produce"}}, "outputs": [{"id": "produce"}]}], "digest": "de40c80a297a14a7fb4e1b0e617f0a6c0525f6cd028755868af74c277f40346b"}
\ No newline at end of file
diff --git a/benchmark/realworld_data/result/creditcard/ae_pipeline_0.01.csv b/benchmark/realworld_data/result/creditcard/ae_pipeline_0.01.csv
deleted file mode 100644
index 8ef91f9..0000000
--- a/benchmark/realworld_data/result/creditcard/ae_pipeline_0.01.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.10319410319410319,0.10319410319410319,0,0
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diff --git a/benchmark/realworld_data/result/creditcard/ae_pipeline_0.05.csv b/benchmark/realworld_data/result/creditcard/ae_pipeline_0.05.csv
deleted file mode 100644
index b055362..0000000
--- a/benchmark/realworld_data/result/creditcard/ae_pipeline_0.05.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
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diff --git a/benchmark/realworld_data/result/creditcard/ae_pipeline_0.1.csv b/benchmark/realworld_data/result/creditcard/ae_pipeline_0.1.csv
deleted file mode 100644
index 3f2bd3c..0000000
--- a/benchmark/realworld_data/result/creditcard/ae_pipeline_0.1.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
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diff --git a/benchmark/realworld_data/result/creditcard/ae_pipeline_0.15.csv b/benchmark/realworld_data/result/creditcard/ae_pipeline_0.15.csv
deleted file mode 100644
index 6a36ac6..0000000
--- a/benchmark/realworld_data/result/creditcard/ae_pipeline_0.15.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
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diff --git a/benchmark/realworld_data/result/creditcard/ae_pipeline_0.2.csv b/benchmark/realworld_data/result/creditcard/ae_pipeline_0.2.csv
deleted file mode 100644
index 46d0734..0000000
--- a/benchmark/realworld_data/result/creditcard/ae_pipeline_0.2.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
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diff --git a/benchmark/realworld_data/result/creditcard/ae_pipeline_0.25.csv b/benchmark/realworld_data/result/creditcard/ae_pipeline_0.25.csv
deleted file mode 100644
index 263512e..0000000
--- a/benchmark/realworld_data/result/creditcard/ae_pipeline_0.25.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
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diff --git a/benchmark/realworld_data/result/creditcard/pyod_ae_subseq_0.2.csv b/benchmark/realworld_data/result/creditcard/pyod_ae_subseq_0.2.csv
deleted file mode 100644
index 46eae20..0000000
--- a/benchmark/realworld_data/result/creditcard/pyod_ae_subseq_0.2.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.006776447456198869,0.006776447456198869,0,0
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diff --git a/benchmark/realworld_data/result/creditcard/pyod_iforest_subseq_0.01.csv b/benchmark/realworld_data/result/creditcard/pyod_iforest_subseq_0.01.csv
deleted file mode 100644
index d6c362c..0000000
--- a/benchmark/realworld_data/result/creditcard/pyod_iforest_subseq_0.01.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.03896103896103896,0.03896103896103896,0,0
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diff --git a/benchmark/realworld_data/result/creditcard/pyod_iforest_subseq_0.05.csv b/benchmark/realworld_data/result/creditcard/pyod_iforest_subseq_0.05.csv
deleted file mode 100644
index 5112a57..0000000
--- a/benchmark/realworld_data/result/creditcard/pyod_iforest_subseq_0.05.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.017063408468506427,0.017063408468506427,0,0
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diff --git a/benchmark/realworld_data/result/creditcard/pyod_iforest_subseq_0.1.csv b/benchmark/realworld_data/result/creditcard/pyod_iforest_subseq_0.1.csv
deleted file mode 100644
index f0c2de2..0000000
--- a/benchmark/realworld_data/result/creditcard/pyod_iforest_subseq_0.1.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
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diff --git a/benchmark/realworld_data/result/creditcard/pyod_iforest_subseq_0.15.csv b/benchmark/realworld_data/result/creditcard/pyod_iforest_subseq_0.15.csv
deleted file mode 100644
index 11a0312..0000000
--- a/benchmark/realworld_data/result/creditcard/pyod_iforest_subseq_0.15.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
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diff --git a/benchmark/realworld_data/result/creditcard/pyod_iforest_subseq_0.2.csv b/benchmark/realworld_data/result/creditcard/pyod_iforest_subseq_0.2.csv
deleted file mode 100644
index 41bdcec..0000000
--- a/benchmark/realworld_data/result/creditcard/pyod_iforest_subseq_0.2.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
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diff --git a/benchmark/realworld_data/result/creditcard/pyod_iforest_subseq_0.25.csv b/benchmark/realworld_data/result/creditcard/pyod_iforest_subseq_0.25.csv
deleted file mode 100644
index f1d178f..0000000
--- a/benchmark/realworld_data/result/creditcard/pyod_iforest_subseq_0.25.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
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diff --git a/benchmark/realworld_data/result/creditcard/pyod_mogaal_0.01.csv b/benchmark/realworld_data/result/creditcard/pyod_mogaal_0.01.csv
deleted file mode 100644
index e881c18..0000000
--- a/benchmark/realworld_data/result/creditcard/pyod_mogaal_0.01.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
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diff --git a/benchmark/realworld_data/result/creditcard/pyod_mogaal_0.15.csv b/benchmark/realworld_data/result/creditcard/pyod_mogaal_0.15.csv
deleted file mode 100644
index e881c18..0000000
--- a/benchmark/realworld_data/result/creditcard/pyod_mogaal_0.15.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
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diff --git a/benchmark/realworld_data/result/creditcard/pyod_mogaal_0.25.csv b/benchmark/realworld_data/result/creditcard/pyod_mogaal_0.25.csv
deleted file mode 100644
index e881c18..0000000
--- a/benchmark/realworld_data/result/creditcard/pyod_mogaal_0.25.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
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diff --git a/benchmark/realworld_data/result/creditcard/pyod_ocsvm_subseq_0.01.csv b/benchmark/realworld_data/result/creditcard/pyod_ocsvm_subseq_0.01.csv
deleted file mode 100644
index df5cdee..0000000
--- a/benchmark/realworld_data/result/creditcard/pyod_ocsvm_subseq_0.01.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.002106002106002106,0.002106002106002106,0,0
-RECALL,0.012195121951219513,0.012195121951219513,0,0
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-F1,0.003591739000299312,0.003591739000299312,0,0
diff --git a/benchmark/realworld_data/result/creditcard/pyod_ocsvm_subseq_0.05.csv b/benchmark/realworld_data/result/creditcard/pyod_ocsvm_subseq_0.05.csv
deleted file mode 100644
index 7f1cd5e..0000000
--- a/benchmark/realworld_data/result/creditcard/pyod_ocsvm_subseq_0.05.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.0016852749104697704,0.0016852749104697704,0,0
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diff --git a/benchmark/realworld_data/result/creditcard/pyod_ocsvm_subseq_0.1.csv b/benchmark/realworld_data/result/creditcard/pyod_ocsvm_subseq_0.1.csv
deleted file mode 100644
index 5653b65..0000000
--- a/benchmark/realworld_data/result/creditcard/pyod_ocsvm_subseq_0.1.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.0018608897159509848,0.0018608897159509848,0,0
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diff --git a/benchmark/realworld_data/result/creditcard/pyod_ocsvm_subseq_0.15.csv b/benchmark/realworld_data/result/creditcard/pyod_ocsvm_subseq_0.15.csv
deleted file mode 100644
index 92f3958..0000000
--- a/benchmark/realworld_data/result/creditcard/pyod_ocsvm_subseq_0.15.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.001544907656655977,0.001544907656655977,0,0
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diff --git a/benchmark/realworld_data/result/creditcard/pyod_ocsvm_subseq_0.2.csv b/benchmark/realworld_data/result/creditcard/pyod_ocsvm_subseq_0.2.csv
deleted file mode 100644
index 74ddb54..0000000
--- a/benchmark/realworld_data/result/creditcard/pyod_ocsvm_subseq_0.2.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.0014044450686422527,0.0014044450686422527,0,0
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diff --git a/benchmark/realworld_data/result/creditcard/pyod_ocsvm_subseq_0.25.csv b/benchmark/realworld_data/result/creditcard/pyod_ocsvm_subseq_0.25.csv
deleted file mode 100644
index f792dc9..0000000
--- a/benchmark/realworld_data/result/creditcard/pyod_ocsvm_subseq_0.25.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.0014606331282829134,0.0014606331282829134,0,0
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diff --git a/benchmark/realworld_data/result/creditcard/pyod_sogaal_subseq_0.01.csv b/benchmark/realworld_data/result/creditcard/pyod_sogaal_subseq_0.01.csv
deleted file mode 100644
index e881c18..0000000
--- a/benchmark/realworld_data/result/creditcard/pyod_sogaal_subseq_0.01.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.0,0.0,0,0
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diff --git a/benchmark/realworld_data/result/creditcard/pyod_sogaal_subseq_0.05.csv b/benchmark/realworld_data/result/creditcard/pyod_sogaal_subseq_0.05.csv
deleted file mode 100644
index e881c18..0000000
--- a/benchmark/realworld_data/result/creditcard/pyod_sogaal_subseq_0.05.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.0,0.0,0,0
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diff --git a/benchmark/realworld_data/result/creditcard/pyod_sogaal_subseq_0.1.csv b/benchmark/realworld_data/result/creditcard/pyod_sogaal_subseq_0.1.csv
deleted file mode 100644
index e881c18..0000000
--- a/benchmark/realworld_data/result/creditcard/pyod_sogaal_subseq_0.1.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.0,0.0,0,0
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diff --git a/benchmark/realworld_data/result/creditcard/pyod_sogaal_subseq_0.15.csv b/benchmark/realworld_data/result/creditcard/pyod_sogaal_subseq_0.15.csv
deleted file mode 100644
index e881c18..0000000
--- a/benchmark/realworld_data/result/creditcard/pyod_sogaal_subseq_0.15.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.0,0.0,0,0
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diff --git a/benchmark/realworld_data/result/creditcard/rnnlstm_pipeline_0.01.csv b/benchmark/realworld_data/result/creditcard/rnnlstm_pipeline_0.01.csv
deleted file mode 100644
index 61c1dce..0000000
--- a/benchmark/realworld_data/result/creditcard/rnnlstm_pipeline_0.01.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.009126009126009126,0.009126009126009126,0,0
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-F1,0.01556420233463035,0.01556420233463035,0,0
diff --git a/benchmark/realworld_data/result/swan_sf/AutoRegODetector_0.01.csv b/benchmark/realworld_data/result/swan_sf/AutoRegODetector_0.01.csv
deleted file mode 100644
index 2f790a3..0000000
--- a/benchmark/realworld_data/result/swan_sf/AutoRegODetector_0.01.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.8308333333333333,0.8308333333333333,0,0
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diff --git a/benchmark/realworld_data/result/swan_sf/AutoRegODetector_0.05.csv b/benchmark/realworld_data/result/swan_sf/AutoRegODetector_0.05.csv
deleted file mode 100644
index 132201f..0000000
--- a/benchmark/realworld_data/result/swan_sf/AutoRegODetector_0.05.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.6946666666666667,0.6946666666666667,0,0
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diff --git a/benchmark/realworld_data/result/swan_sf/AutoRegODetector_0.1.csv b/benchmark/realworld_data/result/swan_sf/AutoRegODetector_0.1.csv
deleted file mode 100644
index 98ea00e..0000000
--- a/benchmark/realworld_data/result/swan_sf/AutoRegODetector_0.1.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.5664638719893325,0.5664638719893325,0,0
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diff --git a/benchmark/realworld_data/result/swan_sf/AutoRegODetector_0.15.csv b/benchmark/realworld_data/result/swan_sf/AutoRegODetector_0.15.csv
deleted file mode 100644
index f0d6ef2..0000000
--- a/benchmark/realworld_data/result/swan_sf/AutoRegODetector_0.15.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.48430468359353296,0.48430468359353296,0,0
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diff --git a/benchmark/realworld_data/result/swan_sf/AutoRegODetector_0.2.csv b/benchmark/realworld_data/result/swan_sf/AutoRegODetector_0.2.csv
deleted file mode 100644
index e833a29..0000000
--- a/benchmark/realworld_data/result/swan_sf/AutoRegODetector_0.2.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.42132677723143597,0.42132677723143597,0,0
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diff --git a/benchmark/realworld_data/result/swan_sf/AutoRegODetector_0.25.csv b/benchmark/realworld_data/result/swan_sf/AutoRegODetector_0.25.csv
deleted file mode 100644
index 35fab19..0000000
--- a/benchmark/realworld_data/result/swan_sf/AutoRegODetector_0.25.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.37519167944529636,0.37519167944529636,0,0
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diff --git a/benchmark/realworld_data/result/swan_sf/ae_pipeline_0.01.csv b/benchmark/realworld_data/result/swan_sf/ae_pipeline_0.01.csv
deleted file mode 100644
index 46aca43..0000000
--- a/benchmark/realworld_data/result/swan_sf/ae_pipeline_0.01.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.8808333333333334,0.8808333333333334,0,0
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diff --git a/benchmark/realworld_data/result/swan_sf/ae_pipeline_0.05.csv b/benchmark/realworld_data/result/swan_sf/ae_pipeline_0.05.csv
deleted file mode 100644
index 20c2430..0000000
--- a/benchmark/realworld_data/result/swan_sf/ae_pipeline_0.05.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.7805,0.7805,0,0
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diff --git a/benchmark/realworld_data/result/swan_sf/ae_pipeline_0.1.csv b/benchmark/realworld_data/result/swan_sf/ae_pipeline_0.1.csv
deleted file mode 100644
index 977d946..0000000
--- a/benchmark/realworld_data/result/swan_sf/ae_pipeline_0.1.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.5850833333333333,0.5850833333333333,0,0
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diff --git a/benchmark/realworld_data/result/swan_sf/ae_pipeline_0.15.csv b/benchmark/realworld_data/result/swan_sf/ae_pipeline_0.15.csv
deleted file mode 100644
index c6e7c3b..0000000
--- a/benchmark/realworld_data/result/swan_sf/ae_pipeline_0.15.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.5535,0.5535,0,0
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diff --git a/benchmark/realworld_data/result/swan_sf/ae_pipeline_0.2.csv b/benchmark/realworld_data/result/swan_sf/ae_pipeline_0.2.csv
deleted file mode 100644
index dc58398..0000000
--- a/benchmark/realworld_data/result/swan_sf/ae_pipeline_0.2.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.5348333333333334,0.5348333333333334,0,0
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diff --git a/benchmark/realworld_data/result/swan_sf/ae_pipeline_0.25.csv b/benchmark/realworld_data/result/swan_sf/ae_pipeline_0.25.csv
deleted file mode 100644
index bb2d4e9..0000000
--- a/benchmark/realworld_data/result/swan_sf/ae_pipeline_0.25.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.4972664844322955,0.4972664844322955,0,0
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diff --git a/benchmark/realworld_data/result/swan_sf/pyod_ae_subseq_0.01.csv b/benchmark/realworld_data/result/swan_sf/pyod_ae_subseq_0.01.csv
deleted file mode 100644
index ddd8e64..0000000
--- a/benchmark/realworld_data/result/swan_sf/pyod_ae_subseq_0.01.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.7183333333333334,0.7183333333333334,0,0
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-F1,0.05793010752688172,0.05793010752688172,0,0
diff --git a/benchmark/realworld_data/result/swan_sf/pyod_ae_subseq_0.05.csv b/benchmark/realworld_data/result/swan_sf/pyod_ae_subseq_0.05.csv
deleted file mode 100644
index 667695c..0000000
--- a/benchmark/realworld_data/result/swan_sf/pyod_ae_subseq_0.05.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.645,0.645,0,0
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-F1,0.22395833333333331,0.22395833333333331,0,0
diff --git a/benchmark/realworld_data/result/swan_sf/pyod_ae_subseq_0.1.csv b/benchmark/realworld_data/result/swan_sf/pyod_ae_subseq_0.1.csv
deleted file mode 100644
index 970da74..0000000
--- a/benchmark/realworld_data/result/swan_sf/pyod_ae_subseq_0.1.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.46975,0.46975,0,0
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diff --git a/benchmark/realworld_data/result/swan_sf/pyod_ae_subseq_0.15.csv b/benchmark/realworld_data/result/swan_sf/pyod_ae_subseq_0.15.csv
deleted file mode 100644
index c7055c0..0000000
--- a/benchmark/realworld_data/result/swan_sf/pyod_ae_subseq_0.15.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.4241666666666667,0.4241666666666667,0,0
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-F1,0.3279639175257732,0.3279639175257732,0,0
diff --git a/benchmark/realworld_data/result/swan_sf/pyod_ae_subseq_0.2.csv b/benchmark/realworld_data/result/swan_sf/pyod_ae_subseq_0.2.csv
deleted file mode 100644
index 8f25787..0000000
--- a/benchmark/realworld_data/result/swan_sf/pyod_ae_subseq_0.2.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.39345833333333335,0.39345833333333335,0,0
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diff --git a/benchmark/realworld_data/result/swan_sf/pyod_ae_subseq_0.25.csv b/benchmark/realworld_data/result/swan_sf/pyod_ae_subseq_0.25.csv
deleted file mode 100644
index 074bf55..0000000
--- a/benchmark/realworld_data/result/swan_sf/pyod_ae_subseq_0.25.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.37866666666666665,0.37866666666666665,0,0
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diff --git a/benchmark/realworld_data/result/swan_sf/pyod_iforest_0.01.csv b/benchmark/realworld_data/result/swan_sf/pyod_iforest_0.01.csv
deleted file mode 100644
index 6d89227..0000000
--- a/benchmark/realworld_data/result/swan_sf/pyod_iforest_0.01.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.975,0.975,0,0
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diff --git a/benchmark/realworld_data/result/swan_sf/pyod_iforest_0.05.csv b/benchmark/realworld_data/result/swan_sf/pyod_iforest_0.05.csv
deleted file mode 100644
index 11d8b34..0000000
--- a/benchmark/realworld_data/result/swan_sf/pyod_iforest_0.05.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.8615,0.8615,0,0
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diff --git a/benchmark/realworld_data/result/swan_sf/pyod_iforest_0.1.csv b/benchmark/realworld_data/result/swan_sf/pyod_iforest_0.1.csv
deleted file mode 100644
index 4e5a8d0..0000000
--- a/benchmark/realworld_data/result/swan_sf/pyod_iforest_0.1.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.734,0.734,0,0
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diff --git a/benchmark/realworld_data/result/swan_sf/pyod_iforest_0.15.csv b/benchmark/realworld_data/result/swan_sf/pyod_iforest_0.15.csv
deleted file mode 100644
index 373cae6..0000000
--- a/benchmark/realworld_data/result/swan_sf/pyod_iforest_0.15.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.6548888888888889,0.6548888888888889,0,0
-RECALL,0.41274509803921566,0.41274509803921566,0,0
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-F1,0.5063573883161512,0.5063573883161512,0,0
diff --git a/benchmark/realworld_data/result/swan_sf/pyod_iforest_0.2.csv b/benchmark/realworld_data/result/swan_sf/pyod_iforest_0.2.csv
deleted file mode 100644
index 8d976d1..0000000
--- a/benchmark/realworld_data/result/swan_sf/pyod_iforest_0.2.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.5874166666666667,0.5874166666666667,0,0
-RECALL,0.4936274509803922,0.4936274509803922,0,0
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-F1,0.5364535768645359,0.5364535768645359,0,0
diff --git a/benchmark/realworld_data/result/swan_sf/pyod_iforest_0.25.csv b/benchmark/realworld_data/result/swan_sf/pyod_iforest_0.25.csv
deleted file mode 100644
index c8bad7b..0000000
--- a/benchmark/realworld_data/result/swan_sf/pyod_iforest_0.25.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.5689666666666666,0.5689666666666666,0,0
-RECALL,0.5976540616246498,0.5976540616246498,0,0
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-F1,0.5829576502732239,0.5829576502732239,0,0
diff --git a/benchmark/realworld_data/result/swan_sf/pyod_iforest_subseq_0.01.csv b/benchmark/realworld_data/result/swan_sf/pyod_iforest_subseq_0.01.csv
deleted file mode 100644
index fec21b1..0000000
--- a/benchmark/realworld_data/result/swan_sf/pyod_iforest_subseq_0.01.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.9975,0.9975,0,0
-RECALL,0.04191176470588235,0.04191176470588235,0,0
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-F1,0.08044354838709676,0.08044354838709676,0,0
diff --git a/benchmark/realworld_data/result/swan_sf/pyod_iforest_subseq_0.05.csv b/benchmark/realworld_data/result/swan_sf/pyod_iforest_subseq_0.05.csv
deleted file mode 100644
index 1fd0941..0000000
--- a/benchmark/realworld_data/result/swan_sf/pyod_iforest_subseq_0.05.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.6603333333333333,0.6603333333333333,0,0
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-F1,0.2292824074074074,0.2292824074074074,0,0
diff --git a/benchmark/realworld_data/result/swan_sf/pyod_iforest_subseq_0.1.csv b/benchmark/realworld_data/result/swan_sf/pyod_iforest_subseq_0.1.csv
deleted file mode 100644
index c819394..0000000
--- a/benchmark/realworld_data/result/swan_sf/pyod_iforest_subseq_0.1.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.5248333333333334,0.5248333333333334,0,0
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-F1,0.31055226824457594,0.31055226824457594,0,0
diff --git a/benchmark/realworld_data/result/swan_sf/pyod_iforest_subseq_0.15.csv b/benchmark/realworld_data/result/swan_sf/pyod_iforest_subseq_0.15.csv
deleted file mode 100644
index 85a09b9..0000000
--- a/benchmark/realworld_data/result/swan_sf/pyod_iforest_subseq_0.15.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.4908888888888889,0.4908888888888889,0,0
-RECALL,0.30938375350140057,0.30938375350140057,0,0
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-F1,0.379553264604811,0.379553264604811,0,0
diff --git a/benchmark/realworld_data/result/swan_sf/pyod_iforest_subseq_0.2.csv b/benchmark/realworld_data/result/swan_sf/pyod_iforest_subseq_0.2.csv
deleted file mode 100644
index 8900843..0000000
--- a/benchmark/realworld_data/result/swan_sf/pyod_iforest_subseq_0.2.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.425375,0.425375,0,0
-RECALL,0.3574579831932773,0.3574579831932773,0,0
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-F1,0.3884703196347032,0.3884703196347032,0,0
diff --git a/benchmark/realworld_data/result/swan_sf/pyod_iforest_subseq_0.25.csv b/benchmark/realworld_data/result/swan_sf/pyod_iforest_subseq_0.25.csv
deleted file mode 100644
index 996acbb..0000000
--- a/benchmark/realworld_data/result/swan_sf/pyod_iforest_subseq_0.25.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.40576666666666666,0.40576666666666666,0,0
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-F1,0.4157445355191257,0.4157445355191257,0,0
diff --git a/benchmark/realworld_data/result/swan_sf/pyod_mogaal_subseq_0.01.csv b/benchmark/realworld_data/result/swan_sf/pyod_mogaal_subseq_0.01.csv
deleted file mode 100644
index 685dbf6..0000000
--- a/benchmark/realworld_data/result/swan_sf/pyod_mogaal_subseq_0.01.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.0,0.0,0,0
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diff --git a/benchmark/realworld_data/result/swan_sf/pyod_mogaal_subseq_0.05.csv b/benchmark/realworld_data/result/swan_sf/pyod_mogaal_subseq_0.05.csv
deleted file mode 100644
index 685dbf6..0000000
--- a/benchmark/realworld_data/result/swan_sf/pyod_mogaal_subseq_0.05.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.0,0.0,0,0
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diff --git a/benchmark/realworld_data/result/swan_sf/pyod_mogaal_subseq_0.1.csv b/benchmark/realworld_data/result/swan_sf/pyod_mogaal_subseq_0.1.csv
deleted file mode 100644
index 685dbf6..0000000
--- a/benchmark/realworld_data/result/swan_sf/pyod_mogaal_subseq_0.1.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.0,0.0,0,0
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diff --git a/benchmark/realworld_data/result/swan_sf/pyod_mogaal_subseq_0.15.csv b/benchmark/realworld_data/result/swan_sf/pyod_mogaal_subseq_0.15.csv
deleted file mode 100644
index 685dbf6..0000000
--- a/benchmark/realworld_data/result/swan_sf/pyod_mogaal_subseq_0.15.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.0,0.0,0,0
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diff --git a/benchmark/realworld_data/result/swan_sf/pyod_mogaal_subseq_0.2.csv b/benchmark/realworld_data/result/swan_sf/pyod_mogaal_subseq_0.2.csv
deleted file mode 100644
index 685dbf6..0000000
--- a/benchmark/realworld_data/result/swan_sf/pyod_mogaal_subseq_0.2.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.0,0.0,0,0
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diff --git a/benchmark/realworld_data/result/swan_sf/pyod_mogaal_subseq_0.25.csv b/benchmark/realworld_data/result/swan_sf/pyod_mogaal_subseq_0.25.csv
deleted file mode 100644
index 685dbf6..0000000
--- a/benchmark/realworld_data/result/swan_sf/pyod_mogaal_subseq_0.25.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.0,0.0,0,0
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diff --git a/benchmark/realworld_data/result/swan_sf/pyod_sogaal_subseq_0.01.csv b/benchmark/realworld_data/result/swan_sf/pyod_sogaal_subseq_0.01.csv
deleted file mode 100644
index 685dbf6..0000000
--- a/benchmark/realworld_data/result/swan_sf/pyod_sogaal_subseq_0.01.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.0,0.0,0,0
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diff --git a/benchmark/realworld_data/result/swan_sf/pyod_sogaal_subseq_0.05.csv b/benchmark/realworld_data/result/swan_sf/pyod_sogaal_subseq_0.05.csv
deleted file mode 100644
index 685dbf6..0000000
--- a/benchmark/realworld_data/result/swan_sf/pyod_sogaal_subseq_0.05.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.0,0.0,0,0
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diff --git a/benchmark/realworld_data/result/swan_sf/pyod_sogaal_subseq_0.1.csv b/benchmark/realworld_data/result/swan_sf/pyod_sogaal_subseq_0.1.csv
deleted file mode 100644
index 685dbf6..0000000
--- a/benchmark/realworld_data/result/swan_sf/pyod_sogaal_subseq_0.1.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.0,0.0,0,0
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diff --git a/benchmark/realworld_data/result/swan_sf/pyod_sogaal_subseq_0.15.csv b/benchmark/realworld_data/result/swan_sf/pyod_sogaal_subseq_0.15.csv
deleted file mode 100644
index 685dbf6..0000000
--- a/benchmark/realworld_data/result/swan_sf/pyod_sogaal_subseq_0.15.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.0,0.0,0,0
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diff --git a/benchmark/realworld_data/result/swan_sf/pyod_sogaal_subseq_0.2.csv b/benchmark/realworld_data/result/swan_sf/pyod_sogaal_subseq_0.2.csv
deleted file mode 100644
index 685dbf6..0000000
--- a/benchmark/realworld_data/result/swan_sf/pyod_sogaal_subseq_0.2.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.0,0.0,0,0
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diff --git a/benchmark/realworld_data/result/swan_sf/pyod_sogaal_subseq_0.25.csv b/benchmark/realworld_data/result/swan_sf/pyod_sogaal_subseq_0.25.csv
deleted file mode 100644
index 685dbf6..0000000
--- a/benchmark/realworld_data/result/swan_sf/pyod_sogaal_subseq_0.25.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.0,0.0,0,0
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diff --git a/benchmark/realworld_data/result/swan_sf/rnnlstm_pipeline_0.05.csv b/benchmark/realworld_data/result/swan_sf/rnnlstm_pipeline_0.05.csv
deleted file mode 100644
index 4f0c3d6..0000000
--- a/benchmark/realworld_data/result/swan_sf/rnnlstm_pipeline_0.05.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.39016666666666666,0.39016666666666666,0,0
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-F1_MACRO,0.4950201735029422,0.4950201735029422,0,0
-F1,0.13547453703703702,0.13547453703703702,0,0
diff --git a/benchmark/realworld_data/result/swan_sf/rnnlstm_pipeline_0.2.csv b/benchmark/realworld_data/result/swan_sf/rnnlstm_pipeline_0.2.csv
deleted file mode 100644
index 1dd5345..0000000
--- a/benchmark/realworld_data/result/swan_sf/rnnlstm_pipeline_0.2.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.3045,0.3045,0,0
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diff --git a/benchmark/realworld_data/result/swan_sf/rnnlstm_pipeline_0.25.csv b/benchmark/realworld_data/result/swan_sf/rnnlstm_pipeline_0.25.csv
deleted file mode 100644
index 6e96a3e..0000000
--- a/benchmark/realworld_data/result/swan_sf/rnnlstm_pipeline_0.25.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.23726666666666665,0.23726666666666665,0,0
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diff --git a/benchmark/realworld_data/result/water_quality/AutoRegODetector_0.01.csv b/benchmark/realworld_data/result/water_quality/AutoRegODetector_0.01.csv
deleted file mode 100644
index 67ad19a..0000000
--- a/benchmark/realworld_data/result/water_quality/AutoRegODetector_0.01.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.3917748917748918,0.3917748917748918,0,0
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-F1_MACRO,0.6707878361396251,0.6707878361396251,0,0
-F1,0.3489717223650386,0.3489717223650386,0,0
diff --git a/benchmark/realworld_data/result/water_quality/AutoRegODetector_0.05.csv b/benchmark/realworld_data/result/water_quality/AutoRegODetector_0.05.csv
deleted file mode 100644
index cc56d61..0000000
--- a/benchmark/realworld_data/result/water_quality/AutoRegODetector_0.05.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.13138896910193473,0.13138896910193473,0,0
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-F1,0.21035598705501615,0.21035598705501615,0,0
diff --git a/benchmark/realworld_data/result/water_quality/AutoRegODetector_0.1.csv b/benchmark/realworld_data/result/water_quality/AutoRegODetector_0.1.csv
deleted file mode 100644
index 104e9e6..0000000
--- a/benchmark/realworld_data/result/water_quality/AutoRegODetector_0.1.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.07530142227997978,0.07530142227997978,0,0
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diff --git a/benchmark/realworld_data/result/water_quality/AutoRegODetector_0.15.csv b/benchmark/realworld_data/result/water_quality/AutoRegODetector_0.15.csv
deleted file mode 100644
index df39bcf..0000000
--- a/benchmark/realworld_data/result/water_quality/AutoRegODetector_0.15.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.053713240602589404,0.053713240602589404,0,0
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diff --git a/benchmark/realworld_data/result/water_quality/AutoRegODetector_0.2.csv b/benchmark/realworld_data/result/water_quality/AutoRegODetector_0.2.csv
deleted file mode 100644
index 6d37114..0000000
--- a/benchmark/realworld_data/result/water_quality/AutoRegODetector_0.2.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.04237961158039131,0.04237961158039131,0,0
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diff --git a/benchmark/realworld_data/result/water_quality/AutoRegODetector_0.25.csv b/benchmark/realworld_data/result/water_quality/AutoRegODetector_0.25.csv
deleted file mode 100644
index 3716722..0000000
--- a/benchmark/realworld_data/result/water_quality/AutoRegODetector_0.25.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.03549150976088714,0.03549150976088714,0,0
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diff --git a/benchmark/realworld_data/result/water_quality/ae_pipeline_0.01.csv b/benchmark/realworld_data/result/water_quality/ae_pipeline_0.01.csv
deleted file mode 100644
index 418cd50..0000000
--- a/benchmark/realworld_data/result/water_quality/ae_pipeline_0.01.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.4235209235209235,0.4235209235209235,0,0
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diff --git a/benchmark/realworld_data/result/water_quality/ae_pipeline_0.05.csv b/benchmark/realworld_data/result/water_quality/ae_pipeline_0.05.csv
deleted file mode 100644
index 4956020..0000000
--- a/benchmark/realworld_data/result/water_quality/ae_pipeline_0.05.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
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diff --git a/benchmark/realworld_data/result/water_quality/ae_pipeline_0.1.csv b/benchmark/realworld_data/result/water_quality/ae_pipeline_0.1.csv
deleted file mode 100644
index b80b7a8..0000000
--- a/benchmark/realworld_data/result/water_quality/ae_pipeline_0.1.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.09240542881894312,0.09240542881894312,0,0
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diff --git a/benchmark/realworld_data/result/water_quality/ae_pipeline_0.15.csv b/benchmark/realworld_data/result/water_quality/ae_pipeline_0.15.csv
deleted file mode 100644
index 5427754..0000000
--- a/benchmark/realworld_data/result/water_quality/ae_pipeline_0.15.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.06511695062084898,0.06511695062084898,0,0
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diff --git a/benchmark/realworld_data/result/water_quality/ae_pipeline_0.2.csv b/benchmark/realworld_data/result/water_quality/ae_pipeline_0.2.csv
deleted file mode 100644
index 0634af8..0000000
--- a/benchmark/realworld_data/result/water_quality/ae_pipeline_0.2.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.052916546347097894,0.052916546347097894,0,0
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diff --git a/benchmark/realworld_data/result/water_quality/ae_pipeline_0.25.csv b/benchmark/realworld_data/result/water_quality/ae_pipeline_0.25.csv
deleted file mode 100644
index e42d12f..0000000
--- a/benchmark/realworld_data/result/water_quality/ae_pipeline_0.25.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.04536529021079989,0.04536529021079989,0,0
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diff --git a/benchmark/realworld_data/result/water_quality/pyod_iforest_0.01.csv b/benchmark/realworld_data/result/water_quality/pyod_iforest_0.01.csv
deleted file mode 100644
index 7ef252c..0000000
--- a/benchmark/realworld_data/result/water_quality/pyod_iforest_0.01.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.4393939393939394,0.4393939393939394,0,0
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diff --git a/benchmark/realworld_data/result/water_quality/pyod_iforest_0.05.csv b/benchmark/realworld_data/result/water_quality/pyod_iforest_0.05.csv
deleted file mode 100644
index 88e70b7..0000000
--- a/benchmark/realworld_data/result/water_quality/pyod_iforest_0.05.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.17398209644816634,0.17398209644816634,0,0
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diff --git a/benchmark/realworld_data/result/water_quality/pyod_iforest_0.1.csv b/benchmark/realworld_data/result/water_quality/pyod_iforest_0.1.csv
deleted file mode 100644
index 7aab5f7..0000000
--- a/benchmark/realworld_data/result/water_quality/pyod_iforest_0.1.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.10396361273554255,0.10396361273554255,0,0
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diff --git a/benchmark/realworld_data/result/water_quality/pyod_iforest_0.15.csv b/benchmark/realworld_data/result/water_quality/pyod_iforest_0.15.csv
deleted file mode 100644
index 2ef0b70..0000000
--- a/benchmark/realworld_data/result/water_quality/pyod_iforest_0.15.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.07296178650495716,0.07296178650495716,0,0
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diff --git a/benchmark/realworld_data/result/water_quality/pyod_iforest_0.2.csv b/benchmark/realworld_data/result/water_quality/pyod_iforest_0.2.csv
deleted file mode 100644
index 52fc1f4..0000000
--- a/benchmark/realworld_data/result/water_quality/pyod_iforest_0.2.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.05941380306092983,0.05941380306092983,0,0
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diff --git a/benchmark/realworld_data/result/water_quality/pyod_iforest_0.25.csv b/benchmark/realworld_data/result/water_quality/pyod_iforest_0.25.csv
deleted file mode 100644
index 511b203..0000000
--- a/benchmark/realworld_data/result/water_quality/pyod_iforest_0.25.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.04764654923476754,0.04764654923476754,0,0
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diff --git a/benchmark/realworld_data/result/water_quality/pyod_iforest_subseq_0.01.csv b/benchmark/realworld_data/result/water_quality/pyod_iforest_subseq_0.01.csv
deleted file mode 100644
index e03df1f..0000000
--- a/benchmark/realworld_data/result/water_quality/pyod_iforest_subseq_0.01.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.3924963924963925,0.3924963924963925,0,0
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diff --git a/benchmark/realworld_data/result/water_quality/pyod_iforest_subseq_0.05.csv b/benchmark/realworld_data/result/water_quality/pyod_iforest_subseq_0.05.csv
deleted file mode 100644
index 7843599..0000000
--- a/benchmark/realworld_data/result/water_quality/pyod_iforest_subseq_0.05.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.14192896332659544,0.14192896332659544,0,0
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diff --git a/benchmark/realworld_data/result/water_quality/pyod_iforest_subseq_0.1.csv b/benchmark/realworld_data/result/water_quality/pyod_iforest_subseq_0.1.csv
deleted file mode 100644
index 2ff1393..0000000
--- a/benchmark/realworld_data/result/water_quality/pyod_iforest_subseq_0.1.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.09587063239965347,0.09587063239965347,0,0
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diff --git a/benchmark/realworld_data/result/water_quality/pyod_iforest_subseq_0.15.csv b/benchmark/realworld_data/result/water_quality/pyod_iforest_subseq_0.15.csv
deleted file mode 100644
index 5286b97..0000000
--- a/benchmark/realworld_data/result/water_quality/pyod_iforest_subseq_0.15.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.06915968813167774,0.06915968813167774,0,0
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diff --git a/benchmark/realworld_data/result/water_quality/pyod_iforest_subseq_0.2.csv b/benchmark/realworld_data/result/water_quality/pyod_iforest_subseq_0.2.csv
deleted file mode 100644
index 914eab3..0000000
--- a/benchmark/realworld_data/result/water_quality/pyod_iforest_subseq_0.2.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.05107565694484551,0.05107565694484551,0,0
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diff --git a/benchmark/realworld_data/result/water_quality/pyod_iforest_subseq_0.25.csv b/benchmark/realworld_data/result/water_quality/pyod_iforest_subseq_0.25.csv
deleted file mode 100644
index e7220c6..0000000
--- a/benchmark/realworld_data/result/water_quality/pyod_iforest_subseq_0.25.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.046404851285012996,0.046404851285012996,0,0
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diff --git a/benchmark/realworld_data/result/water_quality/pyod_mogaal_0.01.csv b/benchmark/realworld_data/result/water_quality/pyod_mogaal_0.01.csv
deleted file mode 100644
index e3c1563..0000000
--- a/benchmark/realworld_data/result/water_quality/pyod_mogaal_0.01.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.0,0.0,0,0
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diff --git a/benchmark/realworld_data/result/water_quality/pyod_mogaal_0.05.csv b/benchmark/realworld_data/result/water_quality/pyod_mogaal_0.05.csv
deleted file mode 100644
index e3c1563..0000000
--- a/benchmark/realworld_data/result/water_quality/pyod_mogaal_0.05.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
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diff --git a/benchmark/realworld_data/result/water_quality/pyod_mogaal_0.1.csv b/benchmark/realworld_data/result/water_quality/pyod_mogaal_0.1.csv
deleted file mode 100644
index e3c1563..0000000
--- a/benchmark/realworld_data/result/water_quality/pyod_mogaal_0.1.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.0,0.0,0,0
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diff --git a/benchmark/realworld_data/result/water_quality/pyod_mogaal_0.15.csv b/benchmark/realworld_data/result/water_quality/pyod_mogaal_0.15.csv
deleted file mode 100644
index e3c1563..0000000
--- a/benchmark/realworld_data/result/water_quality/pyod_mogaal_0.15.csv
+++ /dev/null
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diff --git a/benchmark/realworld_data/result/water_quality/pyod_mogaal_0.2.csv b/benchmark/realworld_data/result/water_quality/pyod_mogaal_0.2.csv
deleted file mode 100644
index e3c1563..0000000
--- a/benchmark/realworld_data/result/water_quality/pyod_mogaal_0.2.csv
+++ /dev/null
@@ -1,5 +0,0 @@
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diff --git a/benchmark/realworld_data/result/water_quality/pyod_mogaal_0.25.csv b/benchmark/realworld_data/result/water_quality/pyod_mogaal_0.25.csv
deleted file mode 100644
index e3c1563..0000000
--- a/benchmark/realworld_data/result/water_quality/pyod_mogaal_0.25.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
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diff --git a/benchmark/realworld_data/result/water_quality/pyod_ocsvm_0.01.csv b/benchmark/realworld_data/result/water_quality/pyod_ocsvm_0.01.csv
deleted file mode 100644
index f5fe1b1..0000000
--- a/benchmark/realworld_data/result/water_quality/pyod_ocsvm_0.01.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
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diff --git a/benchmark/realworld_data/result/water_quality/pyod_ocsvm_0.05.csv b/benchmark/realworld_data/result/water_quality/pyod_ocsvm_0.05.csv
deleted file mode 100644
index 7ca50d7..0000000
--- a/benchmark/realworld_data/result/water_quality/pyod_ocsvm_0.05.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
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diff --git a/benchmark/realworld_data/result/water_quality/pyod_ocsvm_0.1.csv b/benchmark/realworld_data/result/water_quality/pyod_ocsvm_0.1.csv
deleted file mode 100644
index 00284ec..0000000
--- a/benchmark/realworld_data/result/water_quality/pyod_ocsvm_0.1.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
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diff --git a/benchmark/realworld_data/result/water_quality/pyod_ocsvm_0.15.csv b/benchmark/realworld_data/result/water_quality/pyod_ocsvm_0.15.csv
deleted file mode 100644
index babd3d7..0000000
--- a/benchmark/realworld_data/result/water_quality/pyod_ocsvm_0.15.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
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diff --git a/benchmark/realworld_data/result/water_quality/pyod_ocsvm_0.2.csv b/benchmark/realworld_data/result/water_quality/pyod_ocsvm_0.2.csv
deleted file mode 100644
index 4f5b89c..0000000
--- a/benchmark/realworld_data/result/water_quality/pyod_ocsvm_0.2.csv
+++ /dev/null
@@ -1,5 +0,0 @@
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diff --git a/benchmark/realworld_data/result/water_quality/pyod_ocsvm_0.25.csv b/benchmark/realworld_data/result/water_quality/pyod_ocsvm_0.25.csv
deleted file mode 100644
index a682dfe..0000000
--- a/benchmark/realworld_data/result/water_quality/pyod_ocsvm_0.25.csv
+++ /dev/null
@@ -1,5 +0,0 @@
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diff --git a/benchmark/realworld_data/result/water_quality/pyod_ocsvm_subseq_0.01.csv b/benchmark/realworld_data/result/water_quality/pyod_ocsvm_subseq_0.01.csv
deleted file mode 100644
index 014fdba..0000000
--- a/benchmark/realworld_data/result/water_quality/pyod_ocsvm_subseq_0.01.csv
+++ /dev/null
@@ -1,5 +0,0 @@
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diff --git a/benchmark/realworld_data/result/water_quality/pyod_ocsvm_subseq_0.05.csv b/benchmark/realworld_data/result/water_quality/pyod_ocsvm_subseq_0.05.csv
deleted file mode 100644
index 03a189d..0000000
--- a/benchmark/realworld_data/result/water_quality/pyod_ocsvm_subseq_0.05.csv
+++ /dev/null
@@ -1,5 +0,0 @@
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diff --git a/benchmark/realworld_data/result/water_quality/pyod_ocsvm_subseq_0.1.csv b/benchmark/realworld_data/result/water_quality/pyod_ocsvm_subseq_0.1.csv
deleted file mode 100644
index c69aa64..0000000
--- a/benchmark/realworld_data/result/water_quality/pyod_ocsvm_subseq_0.1.csv
+++ /dev/null
@@ -1,5 +0,0 @@
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diff --git a/benchmark/realworld_data/result/water_quality/pyod_ocsvm_subseq_0.15.csv b/benchmark/realworld_data/result/water_quality/pyod_ocsvm_subseq_0.15.csv
deleted file mode 100644
index ed4bc61..0000000
--- a/benchmark/realworld_data/result/water_quality/pyod_ocsvm_subseq_0.15.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.021224371931850998,0.021224371931850998,0,0
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diff --git a/benchmark/realworld_data/result/water_quality/pyod_ocsvm_subseq_0.2.csv b/benchmark/realworld_data/result/water_quality/pyod_ocsvm_subseq_0.2.csv
deleted file mode 100644
index b0ce207..0000000
--- a/benchmark/realworld_data/result/water_quality/pyod_ocsvm_subseq_0.2.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.021260467802483397,0.021260467802483397,0,0
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diff --git a/benchmark/realworld_data/result/water_quality/pyod_ocsvm_subseq_0.25.csv b/benchmark/realworld_data/result/water_quality/pyod_ocsvm_subseq_0.25.csv
deleted file mode 100644
index 94d3157..0000000
--- a/benchmark/realworld_data/result/water_quality/pyod_ocsvm_subseq_0.25.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.018047935316199828,0.018047935316199828,0,0
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diff --git a/benchmark/realworld_data/result/water_quality/pyod_sogaal_0.01.csv b/benchmark/realworld_data/result/water_quality/pyod_sogaal_0.01.csv
deleted file mode 100644
index e3c1563..0000000
--- a/benchmark/realworld_data/result/water_quality/pyod_sogaal_0.01.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.0,0.0,0,0
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diff --git a/benchmark/realworld_data/result/water_quality/pyod_sogaal_0.05.csv b/benchmark/realworld_data/result/water_quality/pyod_sogaal_0.05.csv
deleted file mode 100644
index e3c1563..0000000
--- a/benchmark/realworld_data/result/water_quality/pyod_sogaal_0.05.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.0,0.0,0,0
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diff --git a/benchmark/realworld_data/result/water_quality/pyod_sogaal_0.1.csv b/benchmark/realworld_data/result/water_quality/pyod_sogaal_0.1.csv
deleted file mode 100644
index e3c1563..0000000
--- a/benchmark/realworld_data/result/water_quality/pyod_sogaal_0.1.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.0,0.0,0,0
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diff --git a/benchmark/realworld_data/result/water_quality/pyod_sogaal_0.15.csv b/benchmark/realworld_data/result/water_quality/pyod_sogaal_0.15.csv
deleted file mode 100644
index e3c1563..0000000
--- a/benchmark/realworld_data/result/water_quality/pyod_sogaal_0.15.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.0,0.0,0,0
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diff --git a/benchmark/realworld_data/result/water_quality/pyod_sogaal_0.2.csv b/benchmark/realworld_data/result/water_quality/pyod_sogaal_0.2.csv
deleted file mode 100644
index e3c1563..0000000
--- a/benchmark/realworld_data/result/water_quality/pyod_sogaal_0.2.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.0,0.0,0,0
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diff --git a/benchmark/realworld_data/result/water_quality/pyod_sogaal_0.25.csv b/benchmark/realworld_data/result/water_quality/pyod_sogaal_0.25.csv
deleted file mode 100644
index e3c1563..0000000
--- a/benchmark/realworld_data/result/water_quality/pyod_sogaal_0.25.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.0,0.0,0,0
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diff --git a/benchmark/realworld_data/result/water_quality/rnnlstm_pipeline_0.01.csv b/benchmark/realworld_data/result/water_quality/rnnlstm_pipeline_0.01.csv
deleted file mode 100644
index 0bc91b7..0000000
--- a/benchmark/realworld_data/result/water_quality/rnnlstm_pipeline_0.01.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.3427128427128427,0.3427128427128427,0,0
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diff --git a/benchmark/realworld_data/result/water_quality/rnnlstm_pipeline_0.05.csv b/benchmark/realworld_data/result/water_quality/rnnlstm_pipeline_0.05.csv
deleted file mode 100644
index c0dcc9e..0000000
--- a/benchmark/realworld_data/result/water_quality/rnnlstm_pipeline_0.05.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.12777938203869477,0.12777938203869477,0,0
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diff --git a/benchmark/realworld_data/result/water_quality/rnnlstm_pipeline_0.1.csv b/benchmark/realworld_data/result/water_quality/rnnlstm_pipeline_0.1.csv
deleted file mode 100644
index 7721548..0000000
--- a/benchmark/realworld_data/result/water_quality/rnnlstm_pipeline_0.1.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.08583598036384638,0.08583598036384638,0,0
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diff --git a/benchmark/realworld_data/result/water_quality/rnnlstm_pipeline_0.15.csv b/benchmark/realworld_data/result/water_quality/rnnlstm_pipeline_0.15.csv
deleted file mode 100644
index c291076..0000000
--- a/benchmark/realworld_data/result/water_quality/rnnlstm_pipeline_0.15.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.06449128886322071,0.06449128886322071,0,0
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diff --git a/benchmark/realworld_data/result/water_quality/rnnlstm_pipeline_0.2.csv b/benchmark/realworld_data/result/water_quality/rnnlstm_pipeline_0.2.csv
deleted file mode 100644
index cdea17d..0000000
--- a/benchmark/realworld_data/result/water_quality/rnnlstm_pipeline_0.2.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.046455385503898355,0.046455385503898355,0,0
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diff --git a/benchmark/realworld_data/result/water_quality/rnnlstm_pipeline_0.25.csv b/benchmark/realworld_data/result/water_quality/rnnlstm_pipeline_0.25.csv
deleted file mode 100644
index fd5b7d3..0000000
--- a/benchmark/realworld_data/result/water_quality/rnnlstm_pipeline_0.25.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.03456540571758591,0.03456540571758591,0,0
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diff --git a/benchmark/realworld_data/result/web_attack/AutoRegODetector_0.01.csv b/benchmark/realworld_data/result/web_attack/AutoRegODetector_0.01.csv
deleted file mode 100644
index 78022f3..0000000
--- a/benchmark/realworld_data/result/web_attack/AutoRegODetector_0.01.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.0,0.0,0,0
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diff --git a/benchmark/realworld_data/result/web_attack/AutoRegODetector_0.05.csv b/benchmark/realworld_data/result/web_attack/AutoRegODetector_0.05.csv
deleted file mode 100644
index 96875f5..0000000
--- a/benchmark/realworld_data/result/web_attack/AutoRegODetector_0.05.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.003172365174480085,0.003172365174480085,0,0
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diff --git a/benchmark/realworld_data/result/web_attack/AutoRegODetector_0.1.csv b/benchmark/realworld_data/result/web_attack/AutoRegODetector_0.1.csv
deleted file mode 100644
index 1508f12..0000000
--- a/benchmark/realworld_data/result/web_attack/AutoRegODetector_0.1.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.008518387968511338,0.008518387968511338,0,0
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diff --git a/benchmark/realworld_data/result/web_attack/AutoRegODetector_0.15.csv b/benchmark/realworld_data/result/web_attack/AutoRegODetector_0.15.csv
deleted file mode 100644
index 8b98043..0000000
--- a/benchmark/realworld_data/result/web_attack/AutoRegODetector_0.15.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.011318685622527708,0.011318685622527708,0,0
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diff --git a/benchmark/realworld_data/result/web_attack/AutoRegODetector_0.2.csv b/benchmark/realworld_data/result/web_attack/AutoRegODetector_0.2.csv
deleted file mode 100644
index 64b3723..0000000
--- a/benchmark/realworld_data/result/web_attack/AutoRegODetector_0.2.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.012425096933380331,0.012425096933380331,0,0
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diff --git a/benchmark/realworld_data/result/web_attack/AutoRegODetector_0.25.csv b/benchmark/realworld_data/result/web_attack/AutoRegODetector_0.25.csv
deleted file mode 100644
index 3c42c4e..0000000
--- a/benchmark/realworld_data/result/web_attack/AutoRegODetector_0.25.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.015838326871107977,0.015838326871107977,0,0
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diff --git a/benchmark/realworld_data/result/web_attack/ae_pipeline_0.01.csv b/benchmark/realworld_data/result/web_attack/ae_pipeline_0.01.csv
deleted file mode 100644
index 78022f3..0000000
--- a/benchmark/realworld_data/result/web_attack/ae_pipeline_0.01.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.0,0.0,0,0
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diff --git a/benchmark/realworld_data/result/web_attack/ae_pipeline_0.05.csv b/benchmark/realworld_data/result/web_attack/ae_pipeline_0.05.csv
deleted file mode 100644
index 1911fe1..0000000
--- a/benchmark/realworld_data/result/web_attack/ae_pipeline_0.05.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.0019971804511278194,0.0019971804511278194,0,0
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diff --git a/benchmark/realworld_data/result/web_attack/ae_pipeline_0.1.csv b/benchmark/realworld_data/result/web_attack/ae_pipeline_0.1.csv
deleted file mode 100644
index 6405246..0000000
--- a/benchmark/realworld_data/result/web_attack/ae_pipeline_0.1.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.005581340696786323,0.005581340696786323,0,0
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diff --git a/benchmark/realworld_data/result/web_attack/ae_pipeline_0.15.csv b/benchmark/realworld_data/result/web_attack/ae_pipeline_0.15.csv
deleted file mode 100644
index 7e1039e..0000000
--- a/benchmark/realworld_data/result/web_attack/ae_pipeline_0.15.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.003916193459956922,0.003916193459956922,0,0
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diff --git a/benchmark/realworld_data/result/web_attack/ae_pipeline_0.2.csv b/benchmark/realworld_data/result/web_attack/ae_pipeline_0.2.csv
deleted file mode 100644
index 2486342..0000000
--- a/benchmark/realworld_data/result/web_attack/ae_pipeline_0.2.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.0029665746343182755,0.0029665746343182755,0,0
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diff --git a/benchmark/realworld_data/result/web_attack/ae_pipeline_0.25.csv b/benchmark/realworld_data/result/web_attack/ae_pipeline_0.25.csv
deleted file mode 100644
index 241ecf7..0000000
--- a/benchmark/realworld_data/result/web_attack/ae_pipeline_0.25.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.0025142158936040226,0.0025142158936040226,0,0
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diff --git a/benchmark/realworld_data/result/web_attack/pyod_ae_subseq_0.01.csv b/benchmark/realworld_data/result/web_attack/pyod_ae_subseq_0.01.csv
deleted file mode 100644
index 3c9d2dd..0000000
--- a/benchmark/realworld_data/result/web_attack/pyod_ae_subseq_0.01.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.011743981209630064,0.011743981209630064,0,0
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diff --git a/benchmark/realworld_data/result/web_attack/pyod_ae_subseq_0.05.csv b/benchmark/realworld_data/result/web_attack/pyod_ae_subseq_0.05.csv
deleted file mode 100644
index d8c7957..0000000
--- a/benchmark/realworld_data/result/web_attack/pyod_ae_subseq_0.05.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.010808270676691729,0.010808270676691729,0,0
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diff --git a/benchmark/realworld_data/result/web_attack/pyod_ae_subseq_0.1.csv b/benchmark/realworld_data/result/web_attack/pyod_ae_subseq_0.1.csv
deleted file mode 100644
index e631628..0000000
--- a/benchmark/realworld_data/result/web_attack/pyod_ae_subseq_0.1.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.010926393702637607,0.010926393702637607,0,0
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diff --git a/benchmark/realworld_data/result/web_attack/pyod_ae_subseq_0.15.csv b/benchmark/realworld_data/result/web_attack/pyod_ae_subseq_0.15.csv
deleted file mode 100644
index e58da0e..0000000
--- a/benchmark/realworld_data/result/web_attack/pyod_ae_subseq_0.15.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.01198355198746818,0.01198355198746818,0,0
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diff --git a/benchmark/realworld_data/result/web_attack/pyod_ae_subseq_0.2.csv b/benchmark/realworld_data/result/web_attack/pyod_ae_subseq_0.2.csv
deleted file mode 100644
index a9dce82..0000000
--- a/benchmark/realworld_data/result/web_attack/pyod_ae_subseq_0.2.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
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diff --git a/benchmark/realworld_data/result/web_attack/pyod_ae_subseq_0.25.csv b/benchmark/realworld_data/result/web_attack/pyod_ae_subseq_0.25.csv
deleted file mode 100644
index bc8e521..0000000
--- a/benchmark/realworld_data/result/web_attack/pyod_ae_subseq_0.25.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.012289111330419662,0.012289111330419662,0,0
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diff --git a/benchmark/realworld_data/result/web_attack/pyod_iforest_0.01.csv b/benchmark/realworld_data/result/web_attack/pyod_iforest_0.01.csv
deleted file mode 100644
index 9b61198..0000000
--- a/benchmark/realworld_data/result/web_attack/pyod_iforest_0.01.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
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diff --git a/benchmark/realworld_data/result/web_attack/pyod_iforest_0.05.csv b/benchmark/realworld_data/result/web_attack/pyod_iforest_0.05.csv
deleted file mode 100644
index c317784..0000000
--- a/benchmark/realworld_data/result/web_attack/pyod_iforest_0.05.csv
+++ /dev/null
@@ -1,5 +0,0 @@
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diff --git a/benchmark/realworld_data/result/web_attack/pyod_iforest_0.1.csv b/benchmark/realworld_data/result/web_attack/pyod_iforest_0.1.csv
deleted file mode 100644
index 91ec6f6..0000000
--- a/benchmark/realworld_data/result/web_attack/pyod_iforest_0.1.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
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diff --git a/benchmark/realworld_data/result/web_attack/pyod_iforest_0.15.csv b/benchmark/realworld_data/result/web_attack/pyod_iforest_0.15.csv
deleted file mode 100644
index 75b688b..0000000
--- a/benchmark/realworld_data/result/web_attack/pyod_iforest_0.15.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
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diff --git a/benchmark/realworld_data/result/web_attack/pyod_iforest_0.2.csv b/benchmark/realworld_data/result/web_attack/pyod_iforest_0.2.csv
deleted file mode 100644
index 64a8b78..0000000
--- a/benchmark/realworld_data/result/web_attack/pyod_iforest_0.2.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
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diff --git a/benchmark/realworld_data/result/web_attack/pyod_iforest_0.25.csv b/benchmark/realworld_data/result/web_attack/pyod_iforest_0.25.csv
deleted file mode 100644
index 520e84e..0000000
--- a/benchmark/realworld_data/result/web_attack/pyod_iforest_0.25.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
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diff --git a/benchmark/realworld_data/result/web_attack/pyod_iforest_subseq_0.01.csv b/benchmark/realworld_data/result/web_attack/pyod_iforest_subseq_0.01.csv
deleted file mode 100644
index 5a0c752..0000000
--- a/benchmark/realworld_data/result/web_attack/pyod_iforest_subseq_0.01.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
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diff --git a/benchmark/realworld_data/result/web_attack/pyod_iforest_subseq_0.05.csv b/benchmark/realworld_data/result/web_attack/pyod_iforest_subseq_0.05.csv
deleted file mode 100644
index db9480b..0000000
--- a/benchmark/realworld_data/result/web_attack/pyod_iforest_subseq_0.05.csv
+++ /dev/null
@@ -1,5 +0,0 @@
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diff --git a/benchmark/realworld_data/result/web_attack/pyod_iforest_subseq_0.1.csv b/benchmark/realworld_data/result/web_attack/pyod_iforest_subseq_0.1.csv
deleted file mode 100644
index b4fae40..0000000
--- a/benchmark/realworld_data/result/web_attack/pyod_iforest_subseq_0.1.csv
+++ /dev/null
@@ -1,5 +0,0 @@
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diff --git a/benchmark/realworld_data/result/web_attack/pyod_iforest_subseq_0.15.csv b/benchmark/realworld_data/result/web_attack/pyod_iforest_subseq_0.15.csv
deleted file mode 100644
index 7349f05..0000000
--- a/benchmark/realworld_data/result/web_attack/pyod_iforest_subseq_0.15.csv
+++ /dev/null
@@ -1,5 +0,0 @@
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diff --git a/benchmark/realworld_data/result/web_attack/pyod_iforest_subseq_0.2.csv b/benchmark/realworld_data/result/web_attack/pyod_iforest_subseq_0.2.csv
deleted file mode 100644
index 0f90e76..0000000
--- a/benchmark/realworld_data/result/web_attack/pyod_iforest_subseq_0.2.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
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diff --git a/benchmark/realworld_data/result/web_attack/pyod_iforest_subseq_0.25.csv b/benchmark/realworld_data/result/web_attack/pyod_iforest_subseq_0.25.csv
deleted file mode 100644
index 6dc5d35..0000000
--- a/benchmark/realworld_data/result/web_attack/pyod_iforest_subseq_0.25.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
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diff --git a/benchmark/realworld_data/result/web_attack/pyod_ocsvm_0.01.csv b/benchmark/realworld_data/result/web_attack/pyod_ocsvm_0.01.csv
deleted file mode 100644
index 78022f3..0000000
--- a/benchmark/realworld_data/result/web_attack/pyod_ocsvm_0.01.csv
+++ /dev/null
@@ -1,5 +0,0 @@
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diff --git a/benchmark/realworld_data/result/web_attack/pyod_ocsvm_0.05.csv b/benchmark/realworld_data/result/web_attack/pyod_ocsvm_0.05.csv
deleted file mode 100644
index 3d6f197..0000000
--- a/benchmark/realworld_data/result/web_attack/pyod_ocsvm_0.05.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
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diff --git a/benchmark/realworld_data/result/web_attack/pyod_ocsvm_0.1.csv b/benchmark/realworld_data/result/web_attack/pyod_ocsvm_0.1.csv
deleted file mode 100644
index 6405246..0000000
--- a/benchmark/realworld_data/result/web_attack/pyod_ocsvm_0.1.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
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diff --git a/benchmark/realworld_data/result/web_attack/pyod_ocsvm_0.15.csv b/benchmark/realworld_data/result/web_attack/pyod_ocsvm_0.15.csv
deleted file mode 100644
index 7e1039e..0000000
--- a/benchmark/realworld_data/result/web_attack/pyod_ocsvm_0.15.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
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diff --git a/benchmark/realworld_data/result/web_attack/pyod_ocsvm_0.2.csv b/benchmark/realworld_data/result/web_attack/pyod_ocsvm_0.2.csv
deleted file mode 100644
index 023e2a6..0000000
--- a/benchmark/realworld_data/result/web_attack/pyod_ocsvm_0.2.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.002937202608235916,0.002937202608235916,0,0
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diff --git a/benchmark/realworld_data/result/web_attack/pyod_ocsvm_0.25.csv b/benchmark/realworld_data/result/web_attack/pyod_ocsvm_0.25.csv
deleted file mode 100644
index 241ecf7..0000000
--- a/benchmark/realworld_data/result/web_attack/pyod_ocsvm_0.25.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
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diff --git a/benchmark/realworld_data/result/web_attack/pyod_ocsvm_subseq_0.01.csv b/benchmark/realworld_data/result/web_attack/pyod_ocsvm_subseq_0.01.csv
deleted file mode 100644
index 762878d..0000000
--- a/benchmark/realworld_data/result/web_attack/pyod_ocsvm_subseq_0.01.csv
+++ /dev/null
@@ -1,5 +0,0 @@
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diff --git a/benchmark/realworld_data/result/web_attack/pyod_ocsvm_subseq_0.05.csv b/benchmark/realworld_data/result/web_attack/pyod_ocsvm_subseq_0.05.csv
deleted file mode 100644
index 762878d..0000000
--- a/benchmark/realworld_data/result/web_attack/pyod_ocsvm_subseq_0.05.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
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diff --git a/benchmark/realworld_data/result/web_attack/pyod_ocsvm_subseq_0.1.csv b/benchmark/realworld_data/result/web_attack/pyod_ocsvm_subseq_0.1.csv
deleted file mode 100644
index 762878d..0000000
--- a/benchmark/realworld_data/result/web_attack/pyod_ocsvm_subseq_0.1.csv
+++ /dev/null
@@ -1,5 +0,0 @@
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diff --git a/benchmark/realworld_data/result/web_attack/pyod_ocsvm_subseq_0.15.csv b/benchmark/realworld_data/result/web_attack/pyod_ocsvm_subseq_0.15.csv
deleted file mode 100644
index 762878d..0000000
--- a/benchmark/realworld_data/result/web_attack/pyod_ocsvm_subseq_0.15.csv
+++ /dev/null
@@ -1,5 +0,0 @@
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diff --git a/benchmark/realworld_data/result/web_attack/pyod_ocsvm_subseq_0.2.csv b/benchmark/realworld_data/result/web_attack/pyod_ocsvm_subseq_0.2.csv
deleted file mode 100644
index 762878d..0000000
--- a/benchmark/realworld_data/result/web_attack/pyod_ocsvm_subseq_0.2.csv
+++ /dev/null
@@ -1,5 +0,0 @@
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diff --git a/benchmark/realworld_data/result/web_attack/pyod_ocsvm_subseq_0.25.csv b/benchmark/realworld_data/result/web_attack/pyod_ocsvm_subseq_0.25.csv
deleted file mode 100644
index 762878d..0000000
--- a/benchmark/realworld_data/result/web_attack/pyod_ocsvm_subseq_0.25.csv
+++ /dev/null
@@ -1,5 +0,0 @@
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diff --git a/benchmark/realworld_data/result/web_attack/pyod_sogaal_0.01.csv b/benchmark/realworld_data/result/web_attack/pyod_sogaal_0.01.csv
deleted file mode 100644
index 3049e6c..0000000
--- a/benchmark/realworld_data/result/web_attack/pyod_sogaal_0.01.csv
+++ /dev/null
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diff --git a/benchmark/realworld_data/result/web_attack/pyod_sogaal_0.05.csv b/benchmark/realworld_data/result/web_attack/pyod_sogaal_0.05.csv
deleted file mode 100644
index 3049e6c..0000000
--- a/benchmark/realworld_data/result/web_attack/pyod_sogaal_0.05.csv
+++ /dev/null
@@ -1,5 +0,0 @@
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diff --git a/benchmark/realworld_data/result/web_attack/pyod_sogaal_0.1.csv b/benchmark/realworld_data/result/web_attack/pyod_sogaal_0.1.csv
deleted file mode 100644
index 3049e6c..0000000
--- a/benchmark/realworld_data/result/web_attack/pyod_sogaal_0.1.csv
+++ /dev/null
@@ -1,5 +0,0 @@
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diff --git a/benchmark/realworld_data/result/web_attack/pyod_sogaal_0.15.csv b/benchmark/realworld_data/result/web_attack/pyod_sogaal_0.15.csv
deleted file mode 100644
index 84f9005..0000000
--- a/benchmark/realworld_data/result/web_attack/pyod_sogaal_0.15.csv
+++ /dev/null
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diff --git a/benchmark/realworld_data/result/web_attack/pyod_sogaal_0.2.csv b/benchmark/realworld_data/result/web_attack/pyod_sogaal_0.2.csv
deleted file mode 100644
index 6c85e2e..0000000
--- a/benchmark/realworld_data/result/web_attack/pyod_sogaal_0.2.csv
+++ /dev/null
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diff --git a/benchmark/realworld_data/result/web_attack/pyod_sogaal_0.25.csv b/benchmark/realworld_data/result/web_attack/pyod_sogaal_0.25.csv
deleted file mode 100644
index be7e2f0..0000000
--- a/benchmark/realworld_data/result/web_attack/pyod_sogaal_0.25.csv
+++ /dev/null
@@ -1,5 +0,0 @@
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diff --git a/benchmark/realworld_data/result/web_attack/rnnlstm_pipeline_0.15.csv b/benchmark/realworld_data/result/web_attack/rnnlstm_pipeline_0.15.csv
deleted file mode 100644
index 4cc80f0..0000000
--- a/benchmark/realworld_data/result/web_attack/rnnlstm_pipeline_0.15.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.016134717055022518,0.016134717055022518,0,0
-RECALL,0.1889908256880734,0.1889908256880734,0,0
-F1_MACRO,0.4718739768235122,0.4718739768235122,0,0
-F1,0.029731192495038788,0.029731192495038788,0,0
diff --git a/benchmark/realworld_data/result/web_attack/rnnlstm_pipeline_0.2.csv b/benchmark/realworld_data/result/web_attack/rnnlstm_pipeline_0.2.csv
deleted file mode 100644
index ba76d68..0000000
--- a/benchmark/realworld_data/result/web_attack/rnnlstm_pipeline_0.2.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.02208776361393409,0.02208776361393409,0,0
-RECALL,0.344954128440367,0.344954128440367,0,0
-F1_MACRO,0.4636943184408079,0.4636943184408079,0,0
-F1,0.04151714238392315,0.04151714238392315,0,0
diff --git a/benchmark/realworld_data/result/web_attack/rnnlstm_pipeline_0.25.csv b/benchmark/realworld_data/result/web_attack/rnnlstm_pipeline_0.25.csv
deleted file mode 100644
index 55fb789..0000000
--- a/benchmark/realworld_data/result/web_attack/rnnlstm_pipeline_0.25.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-metric,value,normalized,randomSeed,fold
-PRECISION,0.02227548287043564,0.02227548287043564,0,0
-RECALL,0.43486238532110094,0.43486238532110094,0,0
-F1_MACRO,0.44875425506902245,0.44875425506902245,0,0
-F1,0.04238007957441102,0.04238007957441102,0,0
diff --git a/benchmark/realworld_data/run.sh b/benchmark/realworld_data/run.sh
deleted file mode 100644
index 682faaa..0000000
--- a/benchmark/realworld_data/run.sh
+++ /dev/null
@@ -1,36 +0,0 @@
-#!/bin/bash
-
-data="creditcard web_attack water_quality swan_sf"
-
-simple_pipelines=$(ls pipelines/simple)
-subseq_pipelines=$(ls pipelines/subseq)
-
-for d in $data
-do
-	for p in $subseq_pipelines
-	do
-		python run_pipeline.py --pipeline_path pipelines/subseq/$p --data_path ./data/$d.csv
-	done
-	for p in $simple_pipelines
-	do
-		python run_pipeline.py --pipeline_path pipelines/simple/$p --data_path ./data/$d.csv
-	done
-done
-
-for d in $data
-do
-	rnn_pipelines=$(ls pipelines/RNN_LSTM/$d)
-	for p in $rnn_pipelines
-	do
-		python run_pipeline.py --pipeline_path pipelines/RNN_LSTM/$d/$p --data_path ./data/$d.csv
-	done
-done
-
-for d in $data
-do
-	ae_pipelines=$(ls pipelines/AE/$d)
-	for p in $ae_pipelines
-	do
-		tsp python run_pipeline.py --pipeline_path pipelines/AE/$d/$p --data_path ./data/$d.csv
-	done
-done
diff --git a/benchmark/realworld_data/run_ae.sh b/benchmark/realworld_data/run_ae.sh
deleted file mode 100644
index 21b1429..0000000
--- a/benchmark/realworld_data/run_ae.sh
+++ /dev/null
@@ -1,13 +0,0 @@
-#!/bin/bash
-
-data="swan_sf creditcard web_attack water_quality"
-
-
-for d in $data
-do
-	ae_pipelines=$(ls pipelines/AE/$d)
-	for p in $ae_pipelines
-	do
-		tsp python run_pipeline.py --pipeline_path pipelines/AE/$d/$p --data_path ./data/$d.csv
-	done
-done
diff --git a/benchmark/realworld_data/run_pipeline.py b/benchmark/realworld_data/run_pipeline.py
deleted file mode 100644
index 1e4f109..0000000
--- a/benchmark/realworld_data/run_pipeline.py
+++ /dev/null
@@ -1,52 +0,0 @@
-import sys
-import argparse
-import os
-import pandas as pd
-from warnings import filterwarnings 
-filterwarnings("ignore") 
-
-from tods import generate_dataset, load_pipeline, evaluate_pipeline
-
-this_path = os.path.dirname(os.path.abspath(__file__))
-#default_data_path = os.path.join(this_path, './data/web_attack.csv')
-#default_data_path = os.path.join(this_path, './data/swan_sf.csv')
-default_data_path = os.path.join(this_path, './data/shuttle.csv')
-
-parser = argparse.ArgumentParser(description='Arguments for running predefined pipelin.')
-parser.add_argument('--data_path', type=str, default=default_data_path,
-                    help='Input the path of the input data table')
-parser.add_argument('--target_index', type=int, default=0,
-                    help='Index of the ground truth (for evaluation)')
-parser.add_argument('--metric', type=str, default='ALL',
-        help='Evaluation Metric (F1, F1_MACRO, RECALL, PRECISION, ALL)')
-parser.add_argument('--pipeline_path', 
-                    default=os.path.join(this_path, './pipeline2/autoencoder_pipeline.json'),
-                    help='Input the path of the pre-built pipeline description')
-
-args = parser.parse_args()
-
-table_path = args.data_path 
-target_index = args.target_index # what column is the target
-metric = args.metric # F1 on both label 0 and 1
-pipeline_path = args.pipeline_path
-
-output_name = pipeline_path.split("/")[-1][:-5]
-output_folder = table_path.split("/")[-1].split(".")[0]
-
-# Read data and generate dataset
-df = pd.read_csv(table_path)
-dataset = generate_dataset(df, target_index)
-
-# Load the default pipeline
-pipeline = load_pipeline(pipeline_path)
-
-# Run the pipeline
-pipeline_result = evaluate_pipeline(dataset, pipeline, metric)
-attrs = pipeline_result.__dict__
-#print(attrs)
-pipeline_result.scores.to_csv("result/"+output_folder+"/"+output_name+".csv")
-#print(pipeline_result.scores)
-
-#print(pipeline_result.scores)
-#raise pipeline_result.error
-
diff --git a/benchmark/realworld_data/run_rnn.sh b/benchmark/realworld_data/run_rnn.sh
deleted file mode 100644
index 1962476..0000000
--- a/benchmark/realworld_data/run_rnn.sh
+++ /dev/null
@@ -1,12 +0,0 @@
-#!/bin/bash
-
-data="swan_sf creditcard web_attack water_quality"
-
-for d in $data
-do
-	rnn_pipelines=$(ls pipelines/RNN_LSTM/$d)
-	for p in $rnn_pipelines
-	do
-		python run_pipeline.py --pipeline_path pipelines/RNN_LSTM/$d/$p --data_path ./data/$d.csv
-	done
-done
diff --git a/benchmark/realworld_data/test_pipeline.py b/benchmark/realworld_data/test_pipeline.py
deleted file mode 100644
index 2b499c4..0000000
--- a/benchmark/realworld_data/test_pipeline.py
+++ /dev/null
@@ -1,49 +0,0 @@
-import sys
-import argparse
-import os
-import pandas as pd
-from warnings import filterwarnings 
-filterwarnings("ignore") 
-
-from tods import generate_dataset, load_pipeline, evaluate_pipeline
-
-this_path = os.path.dirname(os.path.abspath(__file__))
-#default_data_path = os.path.join(this_path, './data/web_attack.csv')
-#default_data_path = os.path.join(this_path, './data/swan_sf.csv')
-default_data_path = os.path.join(this_path, './data/shuttle.csv')
-
-parser = argparse.ArgumentParser(description='Arguments for running predefined pipelin.')
-parser.add_argument('--data_path', type=str, default=default_data_path,
-                    help='Input the path of the input data table')
-parser.add_argument('--target_index', type=int, default=0,
-                    help='Index of the ground truth (for evaluation)')
-parser.add_argument('--metric', type=str, default='ALL',
-        help='Evaluation Metric (F1, F1_MACRO, RECALL, PRECISION, ALL)')
-parser.add_argument('--pipeline_path', 
-                    default=os.path.join(this_path, './pipeline2/autoencoder_pipeline.json'),
-                    help='Input the path of the pre-built pipeline description')
-
-args = parser.parse_args()
-
-table_path = args.data_path 
-target_index = args.target_index # what column is the target
-metric = args.metric # F1 on both label 0 and 1
-pipeline_path = args.pipeline_path
-
-output_name = pipeline_path.split("/")[-1][:-5]
-output_folder = table_path.split("/")[-1].split(".")[0]
-
-# Read data and generate dataset
-df = pd.read_csv(table_path)
-dataset = generate_dataset(df, target_index)
-
-# Load the default pipeline
-pipeline = load_pipeline(pipeline_path)
-
-# Run the pipeline
-pipeline_result = evaluate_pipeline(dataset, pipeline, metric)
-attrs = pipeline_result.__dict__
-print(pipeline_result)
-#print(attrs)
-raise pipeline_result.error[0]
-
diff --git a/benchmark/synthetic/Generator/multivariate_generator.py b/benchmark/synthetic/Generator/multivariate_generator.py
deleted file mode 100644
index abab56c..0000000
--- a/benchmark/synthetic/Generator/multivariate_generator.py
+++ /dev/null
@@ -1,216 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-import pandas as pd
-
-def series_segmentation(data, stepsize=1):
-    return np.split(data, np.where(np.diff(data) != stepsize)[0] + 1)
-
-
-def sine(length, freq=0.04, coef=1.5, offset=0.0, noise_amp=0.05):
-    # timestamp = np.linspace(0, 10, length)
-    timestamp = np.arange(length)
-    value = np.sin(2 * np.pi * freq * timestamp)
-    if noise_amp != 0:
-        noise = np.random.normal(0, 1, length)
-        value = value + noise_amp * noise
-    value = coef * value + offset
-    return value
-
-def cosine(length, freq=0.04, coef=1.5, offset=0.0, noise_amp=0.05):
-    # timestamp = np.linspace(0, 10, length)
-    timestamp = np.arange(length)
-    value = np.cos(2 * np.pi * freq * timestamp)
-    if noise_amp != 0:
-        noise = np.random.normal(0, 1, length)
-        value = value + noise_amp * noise
-    value = coef * value + offset
-    return value
-
-
-def square_sine(level=5, length=500, freq=0.04, coef=1.5, offset=0.0, noise_amp=0.05):
-    value = np.zeros(length)
-    for i in range(level):
-        value += 1 / (2 * i + 1) * sine(length=length, freq=freq * (2 * i + 1), coef=coef, offset=offset, noise_amp=noise_amp)
-    return value
-
-
-def collective_global_synthetic(length, base, coef=1.5, noise_amp=0.005):
-    value = []
-    norm = np.linalg.norm(base)
-    base = base / norm
-    num = int(length / len(base))
-    for i in range(num):
-        value.extend(base)
-    residual = length - len(value)
-    value.extend(base[:residual])
-    value = np.array(value)
-    noise = np.random.normal(0, 1, length)
-    value = coef * value + noise_amp * noise
-    return value
-
-
-class MultivariateDataGenerator:
-    def __init__(self, dim, stream_length, behavior, behavior_config=None):
-
-        self.dim = dim
-        self.STREAM_LENGTH = stream_length
-        self.behavior = behavior if behavior is not None else [sine] * dim
-        self.behavior_config = behavior_config if behavior_config is not None else [{}] * dim
-
-        self.data = np.empty(shape=[0, stream_length],dtype=float)
-        self.label = None
-        self.data_origin = None
-        self.timestamp = np.arange(self.STREAM_LENGTH)
-
-        self.generate_timeseries()
-
-    def generate_timeseries(self):
-        for i in range(self.dim):
-            self.behavior_config[i]['length'] = self.STREAM_LENGTH
-            self.data = np.append(self.data, [self.behavior[i](**self.behavior_config[i])], axis=0)
-        self.data_origin = self.data.copy()
-        self.label = np.zeros(self.STREAM_LENGTH, dtype=int)
-
-    def point_global_outliers(self, dim_no, ratio, factor, radius):
-        """
-        Add point global outliers to original data
-        Args:
-            ratio: what ratio outliers will be added
-            factor: the larger, the outliers are farther from inliers
-            radius: the radius of collective outliers range
-        """
-        position = (np.random.rand(round(self.STREAM_LENGTH * ratio)) * self.STREAM_LENGTH).astype(int)
-        maximum, minimum = max(self.data[dim_no]), min(self.data[dim_no])
-        for i in position:
-            local_std = self.data_origin[dim_no][max(0, i - radius):min(i + radius, self.STREAM_LENGTH)].std()
-            self.data[dim_no][i] = self.data_origin[dim_no][i] * factor * local_std
-            if 0 <= self.data[dim_no][i] < maximum: self.data[dim_no][i] = maximum
-            if 0 > self.data[dim_no][i] > minimum: self.data[dim_no][i] = minimum
-            self.label[i] = 1
-
-    def point_contextual_outliers(self,dim_no, ratio, factor, radius):
-        """
-        Add point contextual outliers to original data
-        Args:
-            ratio: what ratio outliers will be added
-            factor: the larger, the outliers are farther from inliers
-                    Notice: point contextual outliers will not exceed the range of [min, max] of original data
-            radius: the radius of collective outliers range
-        """
-        position = (np.random.rand(round(self.STREAM_LENGTH * ratio)) * self.STREAM_LENGTH).astype(int)
-        maximum, minimum = max(self.data[dim_no]), min(self.data[dim_no])
-        for i in position:
-            local_std = self.data_origin[dim_no][max(0, i - radius):min(i + radius, self.STREAM_LENGTH)].std()
-            self.data[dim_no][i] = self.data_origin[dim_no][i] * factor * local_std
-            if self.data[dim_no][i] > maximum: self.data[dim_no][i]= maximum * min(0.95, abs(np.random.normal(0, 1)))
-            if self.data[dim_no][i] < minimum: self.data[dim_no][i] = minimum * min(0.95, abs(np.random.normal(0, 1)))
-
-            self.label[i] = 1
-
-    def collective_global_outliers(self,dim_no, ratio, radius, option='square', coef=3., noise_amp=0.0,
-                                    level=5, freq=0.04, offset=0.0, # only used when option=='square'
-                                    base=[0.,]): # only used when option=='other'
-        """
-        Add collective global outliers to original data
-        Args:
-            ratio: what ratio outliers will be added
-            radius: the radius of collective outliers range
-            option: if 'square': 'level' 'freq' and 'offset' are used to generate square sine wave
-                    if 'other': 'base' is used to generate outlier shape
-            level: how many sine waves will square_wave synthesis
-            base: a list of values that we want to substitute inliers when we generate outliers
-        """
-        position = (np.random.rand(round(self.STREAM_LENGTH * ratio / (2 * radius))) * self.STREAM_LENGTH).astype(int)
-
-        valid_option = {'square', 'other'}
-        if option not in valid_option:
-            raise ValueError("'option' must be one of %r." % valid_option)
-
-        if option == 'square':
-            sub_data = square_sine(level=level, length=self.STREAM_LENGTH, freq=freq,
-                                   coef=coef, offset=offset, noise_amp=noise_amp)
-        else:
-            sub_data = collective_global_synthetic(length=self.STREAM_LENGTH, base=base,
-                                                   coef=coef, noise_amp=noise_amp)
-        for i in position:
-            start, end = max(0, i - radius), min(self.STREAM_LENGTH, i + radius)
-            self.data[dim_no][start:end] = sub_data[start:end]
-            self.label[start:end] = 1
-
-    def collective_trend_outliers(self,dim_no, ratio, factor, radius):
-        """
-        Add collective trend outliers to original data
-        Args:
-            ratio: what ratio outliers will be added
-            factor: how dramatic will the trend be
-            radius: the radius of collective outliers range
-        """
-        position = (np.random.rand(round(self.STREAM_LENGTH * ratio / (2 * radius))) * self.STREAM_LENGTH).astype(int)
-        for i in position:
-            start, end = max(0, i - radius), min(self.STREAM_LENGTH, i + radius)
-            slope = np.random.choice([-1, 1]) * factor * np.arange(end - start)
-            self.data[dim_no][start:end] = self.data_origin[dim_no][start:end] + slope
-            self.data[dim_no][end:] = self.data[dim_no][end:] + slope[-1]
-            self.label[start:end] = 1
-
-    def collective_seasonal_outliers(self,dim_no, ratio, factor, radius):
-        """
-        Add collective seasonal outliers to original data
-        Args:
-            ratio: what ratio outliers will be added
-            factor: how many times will frequency multiple
-            radius: the radius of collective outliers range
-        """
-        position = (np.random.rand(round(self.STREAM_LENGTH * ratio / (2 * radius))) * self.STREAM_LENGTH).astype(int)
-        seasonal_config = self.behavior_config[dim_no]
-        seasonal_config['freq'] = factor * self.behavior_config[dim_no]['freq']
-        for i in position:
-            start, end = max(0, i - radius), min(self.STREAM_LENGTH, i + radius)
-            self.data[dim_no][start:end] = self.behavior[dim_no](**seasonal_config)[start:end]
-            self.label[start:end] = 1
-
-
-
-if __name__ == '__main__':
-    np.random.seed(100)
-
-    BEHAVIOR = [sine, cosine, sine, cosine, sine]
-    BEHAVIOR_CONFIG = [{'freq': 0.04, 'coef': 1.5, "offset": 0.0, 'noise_amp': 0.05},
-                       {'freq': 0.04, 'coef': 2.5, "offset": 0.0, 'noise_amp': 0.05},
-                       {'freq': 0.04, 'coef': 1.5, "offset": 0.0, 'noise_amp': 0.05},
-                       {'freq': 0.04, 'coef': 2.5, "offset": 2.0, 'noise_amp': 0.05},
-                       {'freq': 0.04, 'coef': 1.5, "offset": -2.0, 'noise_amp': 0.05},]
-
-
-    multivariate_data = MultivariateDataGenerator(dim=5, stream_length=400, behavior=BEHAVIOR,
-                                                behavior_config=BEHAVIOR_CONFIG)
-
-
-    multivariate_data.point_global_outliers(dim_no=0, ratio=0.05, factor=3.5, radius=5)
-    multivariate_data.point_contextual_outliers(dim_no=1, ratio=0.05, factor=2.5, radius=5)
-    multivariate_data.collective_global_outliers(dim_no=2, ratio=0.05, radius=5, option='square', coef=1.5, noise_amp=0.03, level=20, freq=0.04, offset=0.0)
-    multivariate_data.collective_seasonal_outliers(dim_no=3, ratio=0.05, factor=3, radius=5)
-    multivariate_data.collective_trend_outliers(dim_no=4, ratio=0.05, factor=0.5, radius=5)
-
-    df = pd.DataFrame({'col_0': multivariate_data.data[0],
-                       'col_1': multivariate_data.data[1],
-                       'col_2': multivariate_data.data[2],
-                       'col_3': multivariate_data.data[3],
-                       'col_4': multivariate_data.data[4],
-                       'anomaly': multivariate_data.label})
-    df.to_csv("/Users/apple/Desktop/tods/benchmark/multi_dataset/01234.csv", index=False)
-
-    plt.figure(figsize=(10, 15))
-    plt.subplot(511)
-    plt.plot(multivariate_data.timestamp, multivariate_data.data[0])
-    plt.subplot(512)
-    plt.plot(multivariate_data.timestamp, multivariate_data.data[1])
-    plt.subplot(513)
-    plt.plot(multivariate_data.timestamp, multivariate_data.data[2])
-    plt.subplot(514)
-    plt.plot(multivariate_data.timestamp, multivariate_data.data[3])
-    plt.subplot(515)
-    plt.plot(multivariate_data.timestamp, multivariate_data.data[4])
-
-    plt.savefig("/Users/apple/Desktop/tods/benchmark/multi_dataset/01234.jpg")
-    plt.show()
diff --git a/benchmark/synthetic/Generator/univariate_generator.py b/benchmark/synthetic/Generator/univariate_generator.py
deleted file mode 100644
index 572a0f6..0000000
--- a/benchmark/synthetic/Generator/univariate_generator.py
+++ /dev/null
@@ -1,195 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-import pandas as pd
-
-def series_segmentation(data, stepsize=1):
-    return np.split(data, np.where(np.diff(data) != stepsize)[0] + 1)
-
-
-def sine(length, freq=0.04, coef=1.5, offset=0.0, noise_amp=0.05):
-    # timestamp = np.linspace(0, 10, length)
-    timestamp = np.arange(length)
-    value = np.sin(2 * np.pi * freq * timestamp)
-    if noise_amp != 0:
-        noise = np.random.normal(0, 1, length)
-        value = value + noise_amp * noise
-    value = coef * value + offset
-    return value
-
-
-def square_sine(level=5, length=500, freq=0.04, coef=1.5, offset=0.0, noise_amp=0.05):
-    value = np.zeros(length)
-    for i in range(level):
-        value += 1 / (2 * i + 1) * sine(length=length, freq=freq * (2 * i + 1), coef=coef, offset=offset, noise_amp=noise_amp)
-    return value
-
-
-def collective_global_synthetic(length, base, coef=1.5, noise_amp=0.005):
-    value = []
-    norm = np.linalg.norm(base)
-    base = base / norm
-    num = int(length / len(base))
-    for i in range(num):
-        value.extend(base)
-    residual = length - len(value)
-    value.extend(base[:residual])
-    value = np.array(value)
-    noise = np.random.normal(0, 1, length)
-    value = coef * value + noise_amp * noise
-    return value
-
-
-class UnivariateDataGenerator:
-    def __init__(self, stream_length, behavior=sine, behavior_config=None):
-
-        self.STREAM_LENGTH = stream_length
-        self.behavior = behavior
-        self.behavior_config = behavior_config if behavior_config is not None else {}
-
-        self.data = None
-        self.label = None
-        self.data_origin = None
-        self.timestamp = np.arange(self.STREAM_LENGTH)
-
-        self.generate_timeseries()
-
-    def generate_timeseries(self):
-        self.behavior_config['length'] = self.STREAM_LENGTH
-        self.data = self.behavior(**self.behavior_config)
-        self.data_origin = self.data.copy()
-        self.label = np.zeros(self.STREAM_LENGTH, dtype=int)
-
-    def point_global_outliers(self, ratio, factor, radius):
-        """
-        Add point global outliers to original data
-        Args:
-            ratio: what ratio outliers will be added
-            factor: the larger, the outliers are farther from inliers
-            radius: the radius of collective outliers range
-        """
-        position = (np.random.rand(round(self.STREAM_LENGTH * ratio)) * self.STREAM_LENGTH).astype(int)
-        maximum, minimum = max(self.data), min(self.data)
-        print(maximum, minimum)
-        for i in position:
-            local_std = self.data_origin[max(0, i - radius):min(i + radius, self.STREAM_LENGTH)].std()
-            self.data[i] = self.data_origin[i] * factor * local_std
-            if 0 <= self.data[i] < maximum: self.data[i] = maximum
-            if 0 > self.data[i] > minimum: self.data[i] = minimum
-            self.label[i] = 1
-
-    def point_contextual_outliers(self, ratio, factor, radius):
-        """
-        Add point contextual outliers to original data
-        Args:
-            ratio: what ratio outliers will be added
-            factor: the larger, the outliers are farther from inliers
-                    Notice: point contextual outliers will not exceed the range of [min, max] of original data
-            radius: the radius of collective outliers range
-        """
-        position = (np.random.rand(round(self.STREAM_LENGTH * ratio)) * self.STREAM_LENGTH).astype(int)
-        maximum, minimum = max(self.data), min(self.data)
-        for i in position:
-            local_std = self.data_origin[max(0, i - radius):min(i + radius, self.STREAM_LENGTH)].std()
-            self.data[i] = self.data_origin[i] * factor * local_std
-            if self.data[i] > maximum: self.data[i] = maximum * min(0.95, abs(np.random.normal(0, 1)))
-            if self.data[i] < minimum: self.data[i] = minimum * min(0.95, abs(np.random.normal(0, 1)))
-
-            self.label[i] = 1
-
-    def collective_global_outliers(self, ratio, radius, option='square', coef=3., noise_amp=0.0,
-                                    level=5, freq=0.04, offset=0.0, # only used when option=='square'
-                                    base=[0.,]): # only used when option=='other'
-        """
-        Add collective global outliers to original data
-        Args:
-            ratio: what ratio outliers will be added
-            radius: the radius of collective outliers range
-            option: if 'square': 'level' 'freq' and 'offset' are used to generate square sine wave
-                    if 'other': 'base' is used to generate outlier shape
-            level: how many sine waves will square_wave synthesis
-            base: a list of values that we want to substitute inliers when we generate outliers
-        """
-        position = (np.random.rand(round(self.STREAM_LENGTH * ratio / (2 * radius))) * self.STREAM_LENGTH).astype(int)
-
-        valid_option = {'square', 'other'}
-        if option not in valid_option:
-            raise ValueError("'option' must be one of %r." % valid_option)
-
-        if option == 'square':
-            sub_data = square_sine(level=level, length=self.STREAM_LENGTH, freq=freq,
-                                   coef=coef, offset=offset, noise_amp=noise_amp)
-        else:
-            sub_data = collective_global_synthetic(length=self.STREAM_LENGTH, base=base,
-                                                   coef=coef, noise_amp=noise_amp)
-        for i in position:
-            start, end = max(0, i - radius), min(self.STREAM_LENGTH, i + radius)
-            self.data[start:end] = sub_data[start:end]
-            self.label[start:end] = 1
-
-    def collective_trend_outliers(self, ratio, factor, radius):
-        """
-        Add collective trend outliers to original data
-        Args:
-            ratio: what ratio outliers will be added
-            factor: how dramatic will the trend be
-            radius: the radius of collective outliers range
-        """
-        position = (np.random.rand(round(self.STREAM_LENGTH * ratio / (2 * radius))) * self.STREAM_LENGTH).astype(int)
-        for i in position:
-            start, end = max(0, i - radius), min(self.STREAM_LENGTH, i + radius)
-            slope = np.random.choice([-1, 1]) * factor * np.arange(end - start)
-            self.data[start:end] = self.data_origin[start:end] + slope
-            self.data[end:] = self.data[end:] + slope[-1]
-            self.label[start:end] = 1
-
-    def collective_seasonal_outliers(self, ratio, factor, radius):
-        """
-        Add collective seasonal outliers to original data
-        Args:
-            ratio: what ratio outliers will be added
-            factor: how many times will frequency multiple
-            radius: the radius of collective outliers range
-        """
-        position = (np.random.rand(round(self.STREAM_LENGTH * ratio / (2 * radius))) * self.STREAM_LENGTH).astype(int)
-        seasonal_config = self.behavior_config
-        seasonal_config['freq'] = factor * self.behavior_config['freq']
-        for i in position:
-            start, end = max(0, i - radius), min(self.STREAM_LENGTH, i + radius)
-            self.data[start:end] = self.behavior(**seasonal_config)[start:end]
-            self.label[start:end] = 1
-
-
-if __name__ == '__main__':
-    np.random.seed(100)
-
-    BEHAVIOR_CONFIG = {'freq': 0.04, 'coef': 1.5, "offset": 0.0, 'noise_amp': 0.05}
-    BASE = [1.4529900e-01, 1.2820500e-01, 9.4017000e-02, 7.6923000e-02, 1.1111100e-01, 1.4529900e-01, 1.7948700e-01,
-         2.1367500e-01, 2.1367500e-01]
-
-    univariate_data = UnivariateDataGenerator(stream_length=200, behavior=sine, behavior_config=BEHAVIOR_CONFIG)
-
-
-    univariate_data.collective_global_outliers(ratio=0.05, radius=5, option='square', coef=1.5, noise_amp=0.04,
-                                                level=5, freq=0.04,
-                                                base=BASE, offset=0.0)
-    univariate_data.collective_trend_outliers(ratio=0.2, factor=0.5, radius=5)
-    univariate_data.collective_seasonal_outliers(ratio=0.05, factor=3, radius=5)
-    univariate_data.point_global_outliers(ratio=0.2, factor=6, radius=5) # to 0.2
-    univariate_data.point_contextual_outliers(ratio=0.2, factor=3, radius=5)
-
-
-    plt.plot(univariate_data.timestamp, univariate_data.data)
-    outlier_idxs = np.where(univariate_data.label == 1)[0]
-    outliers = list(univariate_data.data[outlier_idxs])
-    outcome = series_segmentation(outlier_idxs)
-    for outlier in outcome:
-        if len(outlier) == 1:
-            plt.plot(outlier, univariate_data.data[outlier], 'ro')
-        else:
-            if len(outlier) != 0:
-                plt.axvspan(outlier[0], outlier[-1], color='red', alpha=0.5)
-    plt.show()
-
-    df = pd.DataFrame({'value': univariate_data.data, 'anomaly': univariate_data.label})
-    df.to_csv("/Users/apple/Desktop/tods/benchmark/dataset/point_global_0.2.csv", index=False)
-
diff --git a/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_1416321641/ae_pipeline_1416321641_con0.05.json b/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_1416321641/ae_pipeline_1416321641_con0.05.json
deleted file mode 100644
index c4b1bd8..0000000
--- a/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_1416321641/ae_pipeline_1416321641_con0.05.json
+++ /dev/null
@@ -1 +0,0 @@
-{"id": "bc86df90-6d84-4e21-a116-3b04a42ddbd8", "schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json", "created": "2021-06-06T08:06:25.173749Z", "inputs": [{"name": "inputs"}], "outputs": [{"data": "steps.5.produce", "name": "output predictions"}], "steps": [{"type": "PRIMITIVE", "primitive": {"id": "c78138d9-9377-31dc-aee8-83d9df049c60", "version": "0.3.0", "python_path": "d3m.primitives.tods.data_processing.dataset_to_dataframe", "name": "Extract a DataFrame from a Dataset"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "inputs.0"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "81235c29-aeb9-3828-911a-1b25319b6998", "version": "0.6.0", "python_path": "d3m.primitives.tods.data_processing.column_parser", "name": "Parses strings into their types"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "a996cd89-ddf0-367f-8e7f-8c013cbc2891", "version": "0.4.0", "python_path": "d3m.primitives.tods.data_processing.extract_columns_by_semantic_types", "name": "Extracts columns by semantic type"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.1.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"semantic_types": {"type": "VALUE", "data": ["https://metadata.datadrivendiscovery.org/types/Attribute"]}}}, {"type": "PRIMITIVE", "primitive": {"id": "a996cd89-ddf0-367f-8e7f-8c013cbc2891", "version": "0.4.0", "python_path": "d3m.primitives.tods.data_processing.extract_columns_by_semantic_types", "name": "Extracts columns by semantic type"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"semantic_types": {"type": "VALUE", "data": ["https://metadata.datadrivendiscovery.org/types/TrueTarget"]}}}, {"type": "PRIMITIVE", "primitive": {"id": "67e7fcdf-d645-3417-9aa4-85cd369487d9", "version": "0.0.1", "python_path": "d3m.primitives.tods.detection_algorithm.pyod_ae", "name": "TODS.anomaly_detection_primitives.AutoEncoder"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.2.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"hidden_neurons": {"type": "VALUE", "data": [1, 4, 16, 32, 16, 4, 1]}, "epochs": {"type": "VALUE", "data": 50}, "contamination": {"type": "VALUE", "data": 0.05}}}, {"type": "PRIMITIVE", "primitive": {"id": "2530840a-07d4-3874-b7d8-9eb5e4ae2bf3", "version": "0.3.0", "python_path": "d3m.primitives.tods.data_processing.construct_predictions", "name": "Construct pipeline predictions output"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.4.produce"}, "reference": {"type": "CONTAINER", "data": "steps.1.produce"}}, "outputs": [{"id": "produce"}]}], "digest": "0af5ed5cfbb35a68184e9b677c15f61e71f5ec6817d3066f4cb6190064252f2c"}
\ No newline at end of file
diff --git a/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_1416321641/ae_pipeline_1416321641_con0.1.json b/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_1416321641/ae_pipeline_1416321641_con0.1.json
deleted file mode 100644
index e1412b1..0000000
--- a/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_1416321641/ae_pipeline_1416321641_con0.1.json
+++ /dev/null
@@ -1 +0,0 @@
-{"id": "4a5e98e0-3ab5-43a6-aafb-923c2d2f3a6f", "schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json", "created": "2021-06-06T08:06:50.853750Z", "inputs": [{"name": "inputs"}], "outputs": [{"data": "steps.5.produce", "name": "output predictions"}], "steps": [{"type": "PRIMITIVE", "primitive": {"id": "c78138d9-9377-31dc-aee8-83d9df049c60", "version": "0.3.0", "python_path": "d3m.primitives.tods.data_processing.dataset_to_dataframe", "name": "Extract a DataFrame from a Dataset"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "inputs.0"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "81235c29-aeb9-3828-911a-1b25319b6998", "version": "0.6.0", "python_path": "d3m.primitives.tods.data_processing.column_parser", "name": "Parses strings into their types"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "a996cd89-ddf0-367f-8e7f-8c013cbc2891", "version": "0.4.0", "python_path": "d3m.primitives.tods.data_processing.extract_columns_by_semantic_types", "name": "Extracts columns by semantic type"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.1.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"semantic_types": {"type": "VALUE", "data": ["https://metadata.datadrivendiscovery.org/types/Attribute"]}}}, {"type": "PRIMITIVE", "primitive": {"id": "a996cd89-ddf0-367f-8e7f-8c013cbc2891", "version": "0.4.0", "python_path": "d3m.primitives.tods.data_processing.extract_columns_by_semantic_types", "name": "Extracts columns by semantic type"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"semantic_types": {"type": "VALUE", "data": ["https://metadata.datadrivendiscovery.org/types/TrueTarget"]}}}, {"type": "PRIMITIVE", "primitive": {"id": "67e7fcdf-d645-3417-9aa4-85cd369487d9", "version": "0.0.1", "python_path": "d3m.primitives.tods.detection_algorithm.pyod_ae", "name": "TODS.anomaly_detection_primitives.AutoEncoder"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.2.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"hidden_neurons": {"type": "VALUE", "data": [1, 4, 16, 32, 16, 4, 1]}, "epochs": {"type": "VALUE", "data": 50}, "contamination": {"type": "VALUE", "data": 0.1}}}, {"type": "PRIMITIVE", "primitive": {"id": "2530840a-07d4-3874-b7d8-9eb5e4ae2bf3", "version": "0.3.0", "python_path": "d3m.primitives.tods.data_processing.construct_predictions", "name": "Construct pipeline predictions output"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.4.produce"}, "reference": {"type": "CONTAINER", "data": "steps.1.produce"}}, "outputs": [{"id": "produce"}]}], "digest": "f4db83c56d2c4ce206c298c54410c5b1c4f5607953a49019ced015f1cb553b4f"}
\ No newline at end of file
diff --git a/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_1416321641/ae_pipeline_1416321641_con0.15.json b/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_1416321641/ae_pipeline_1416321641_con0.15.json
deleted file mode 100644
index 70af6ee..0000000
--- a/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_1416321641/ae_pipeline_1416321641_con0.15.json
+++ /dev/null
@@ -1 +0,0 @@
-{"id": "b9448572-8227-4277-9517-2ba5f8ca5ba1", "schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json", "created": "2021-06-06T08:07:07.383253Z", "inputs": [{"name": "inputs"}], "outputs": [{"data": "steps.5.produce", "name": "output predictions"}], "steps": [{"type": "PRIMITIVE", "primitive": {"id": "c78138d9-9377-31dc-aee8-83d9df049c60", "version": "0.3.0", "python_path": "d3m.primitives.tods.data_processing.dataset_to_dataframe", "name": "Extract a DataFrame from a Dataset"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "inputs.0"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "81235c29-aeb9-3828-911a-1b25319b6998", "version": "0.6.0", "python_path": "d3m.primitives.tods.data_processing.column_parser", "name": "Parses strings into their types"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "a996cd89-ddf0-367f-8e7f-8c013cbc2891", "version": "0.4.0", "python_path": "d3m.primitives.tods.data_processing.extract_columns_by_semantic_types", "name": "Extracts columns by semantic type"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.1.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"semantic_types": {"type": "VALUE", "data": ["https://metadata.datadrivendiscovery.org/types/Attribute"]}}}, {"type": "PRIMITIVE", "primitive": {"id": "a996cd89-ddf0-367f-8e7f-8c013cbc2891", "version": "0.4.0", "python_path": "d3m.primitives.tods.data_processing.extract_columns_by_semantic_types", "name": "Extracts columns by semantic type"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"semantic_types": {"type": "VALUE", "data": ["https://metadata.datadrivendiscovery.org/types/TrueTarget"]}}}, {"type": "PRIMITIVE", "primitive": {"id": "67e7fcdf-d645-3417-9aa4-85cd369487d9", "version": "0.0.1", "python_path": "d3m.primitives.tods.detection_algorithm.pyod_ae", "name": "TODS.anomaly_detection_primitives.AutoEncoder"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.2.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"hidden_neurons": {"type": "VALUE", "data": [1, 4, 16, 32, 16, 4, 1]}, "epochs": {"type": "VALUE", "data": 50}, "contamination": {"type": "VALUE", "data": 0.15}}}, {"type": "PRIMITIVE", "primitive": {"id": "2530840a-07d4-3874-b7d8-9eb5e4ae2bf3", "version": "0.3.0", "python_path": "d3m.primitives.tods.data_processing.construct_predictions", "name": "Construct pipeline predictions output"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.4.produce"}, "reference": {"type": "CONTAINER", "data": "steps.1.produce"}}, "outputs": [{"id": "produce"}]}], "digest": "d1e9bd4df30589fac3edc2b68a273f78e67ce5c3f61d8131fbc39c02a58154ac"}
\ No newline at end of file
diff --git a/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_1416321641/ae_pipeline_1416321641_con0.2.json b/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_1416321641/ae_pipeline_1416321641_con0.2.json
deleted file mode 100644
index 4fbd017..0000000
--- a/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_1416321641/ae_pipeline_1416321641_con0.2.json
+++ /dev/null
@@ -1 +0,0 @@
-{"id": "003b0091-76ca-4ed5-8e75-d2cbd1e7644f", "schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json", "created": "2021-06-06T08:07:27.782595Z", "inputs": [{"name": "inputs"}], "outputs": [{"data": "steps.5.produce", "name": "output predictions"}], "steps": [{"type": "PRIMITIVE", "primitive": {"id": "c78138d9-9377-31dc-aee8-83d9df049c60", "version": "0.3.0", "python_path": "d3m.primitives.tods.data_processing.dataset_to_dataframe", "name": "Extract a DataFrame from a Dataset"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "inputs.0"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "81235c29-aeb9-3828-911a-1b25319b6998", "version": "0.6.0", "python_path": "d3m.primitives.tods.data_processing.column_parser", "name": "Parses strings into their types"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "a996cd89-ddf0-367f-8e7f-8c013cbc2891", "version": "0.4.0", "python_path": "d3m.primitives.tods.data_processing.extract_columns_by_semantic_types", "name": "Extracts columns by semantic type"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.1.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"semantic_types": {"type": "VALUE", "data": ["https://metadata.datadrivendiscovery.org/types/Attribute"]}}}, {"type": "PRIMITIVE", "primitive": {"id": "a996cd89-ddf0-367f-8e7f-8c013cbc2891", "version": "0.4.0", "python_path": "d3m.primitives.tods.data_processing.extract_columns_by_semantic_types", "name": "Extracts columns by semantic type"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"semantic_types": {"type": "VALUE", "data": ["https://metadata.datadrivendiscovery.org/types/TrueTarget"]}}}, {"type": "PRIMITIVE", "primitive": {"id": "67e7fcdf-d645-3417-9aa4-85cd369487d9", "version": "0.0.1", "python_path": "d3m.primitives.tods.detection_algorithm.pyod_ae", "name": "TODS.anomaly_detection_primitives.AutoEncoder"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.2.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"hidden_neurons": {"type": "VALUE", "data": [1, 4, 16, 32, 16, 4, 1]}, "epochs": {"type": "VALUE", "data": 50}, "contamination": {"type": "VALUE", "data": 0.2}}}, {"type": "PRIMITIVE", "primitive": {"id": "2530840a-07d4-3874-b7d8-9eb5e4ae2bf3", "version": "0.3.0", "python_path": "d3m.primitives.tods.data_processing.construct_predictions", "name": "Construct pipeline predictions output"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.4.produce"}, "reference": {"type": "CONTAINER", "data": "steps.1.produce"}}, "outputs": [{"id": "produce"}]}], "digest": "6751ab61c333ad817d30fd1252ae626d63395cd7cf3638feb9f3405aa3f51d40"}
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diff --git a/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_1416321641/ae_pipeline_1416321641_con0.25.json b/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_1416321641/ae_pipeline_1416321641_con0.25.json
deleted file mode 100644
index c46407b..0000000
--- a/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_1416321641/ae_pipeline_1416321641_con0.25.json
+++ /dev/null
@@ -1 +0,0 @@
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deleted file mode 100644
index 0b41918..0000000
--- a/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_14841/ae_pipeline_14841_con0.05.json
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deleted file mode 100644
index c0203e4..0000000
--- a/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_14841/ae_pipeline_14841_con0.1.json
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diff --git a/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_14841/ae_pipeline_14841_con0.15.json b/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_14841/ae_pipeline_14841_con0.15.json
deleted file mode 100644
index eddfb04..0000000
--- a/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_14841/ae_pipeline_14841_con0.15.json
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diff --git a/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_14841/ae_pipeline_14841_con0.2.json b/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_14841/ae_pipeline_14841_con0.2.json
deleted file mode 100644
index de5ff8f..0000000
--- a/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_14841/ae_pipeline_14841_con0.2.json
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diff --git a/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_14841/ae_pipeline_14841_con0.25.json b/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_14841/ae_pipeline_14841_con0.25.json
deleted file mode 100644
index 3003320..0000000
--- a/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_14841/ae_pipeline_14841_con0.25.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_32161632/ae_pipeline_32161632_con0.05.json b/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_32161632/ae_pipeline_32161632_con0.05.json
deleted file mode 100644
index 92d91d6..0000000
--- a/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_32161632/ae_pipeline_32161632_con0.05.json
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deleted file mode 100644
index 8c0f65d..0000000
--- a/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_32161632/ae_pipeline_32161632_con0.1.json
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diff --git a/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_32161632/ae_pipeline_32161632_con0.15.json b/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_32161632/ae_pipeline_32161632_con0.15.json
deleted file mode 100644
index 45b03f4..0000000
--- a/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_32161632/ae_pipeline_32161632_con0.15.json
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diff --git a/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_32161632/ae_pipeline_32161632_con0.2.json b/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_32161632/ae_pipeline_32161632_con0.2.json
deleted file mode 100644
index 35017d6..0000000
--- a/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_32161632/ae_pipeline_32161632_con0.2.json
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diff --git a/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_32161632/ae_pipeline_32161632_con0.25.json b/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_32161632/ae_pipeline_32161632_con0.25.json
deleted file mode 100644
index 554fd98..0000000
--- a/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_32161632/ae_pipeline_32161632_con0.25.json
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diff --git a/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_5321616325/ae_pipeline_5321616325_con0.05.json b/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_5321616325/ae_pipeline_5321616325_con0.05.json
deleted file mode 100644
index 2ee1b2d..0000000
--- a/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_5321616325/ae_pipeline_5321616325_con0.05.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_5321616325/ae_pipeline_5321616325_con0.1.json b/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_5321616325/ae_pipeline_5321616325_con0.1.json
deleted file mode 100644
index a642e34..0000000
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deleted file mode 100644
index 6d7d444..0000000
--- a/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_5321616325/ae_pipeline_5321616325_con0.15.json
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diff --git a/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_5321616325/ae_pipeline_5321616325_con0.2.json b/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_5321616325/ae_pipeline_5321616325_con0.2.json
deleted file mode 100644
index 79a2cf4..0000000
--- a/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_5321616325/ae_pipeline_5321616325_con0.2.json
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diff --git a/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_5321616325/ae_pipeline_5321616325_con0.25.json b/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_5321616325/ae_pipeline_5321616325_con0.25.json
deleted file mode 100644
index e7ac99e..0000000
--- a/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_5321616325/ae_pipeline_5321616325_con0.25.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_default/ae_pipeline_default_con0.05.json b/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_default/ae_pipeline_default_con0.05.json
deleted file mode 100644
index c65d07e..0000000
--- a/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_default/ae_pipeline_default_con0.05.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_default/ae_pipeline_default_con0.1.json b/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_default/ae_pipeline_default_con0.1.json
deleted file mode 100644
index e4d472c..0000000
--- a/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_default/ae_pipeline_default_con0.1.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_default/ae_pipeline_default_con0.15.json b/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_default/ae_pipeline_default_con0.15.json
deleted file mode 100644
index 45f82e3..0000000
--- a/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_default/ae_pipeline_default_con0.15.json
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diff --git a/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_default/ae_pipeline_default_con0.2.json b/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_default/ae_pipeline_default_con0.2.json
deleted file mode 100644
index d38676d..0000000
--- a/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_default/ae_pipeline_default_con0.2.json
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diff --git a/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_default/ae_pipeline_default_con0.25.json b/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_default/ae_pipeline_default_con0.25.json
deleted file mode 100644
index a07ba04..0000000
--- a/benchmark/synthetic/Pipeline/AutoEncoder/ae_pipeline_default/ae_pipeline_default_con0.25.json
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diff --git a/benchmark/synthetic/Pipeline/AutoEncoder/ae_subseg/ae_subseg_con0.05.json b/benchmark/synthetic/Pipeline/AutoEncoder/ae_subseg/ae_subseg_con0.05.json
deleted file mode 100644
index 7b73acf..0000000
--- a/benchmark/synthetic/Pipeline/AutoEncoder/ae_subseg/ae_subseg_con0.05.json
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diff --git a/benchmark/synthetic/Pipeline/AutoEncoder/ae_subseg/ae_subseg_con0.1.json b/benchmark/synthetic/Pipeline/AutoEncoder/ae_subseg/ae_subseg_con0.1.json
deleted file mode 100644
index 135ed63..0000000
--- a/benchmark/synthetic/Pipeline/AutoEncoder/ae_subseg/ae_subseg_con0.1.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/AutoEncoder/ae_subseg/ae_subseg_con0.15.json b/benchmark/synthetic/Pipeline/AutoEncoder/ae_subseg/ae_subseg_con0.15.json
deleted file mode 100644
index 121c1b4..0000000
--- a/benchmark/synthetic/Pipeline/AutoEncoder/ae_subseg/ae_subseg_con0.15.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/AutoEncoder/ae_subseg/ae_subseg_con0.2.json b/benchmark/synthetic/Pipeline/AutoEncoder/ae_subseg/ae_subseg_con0.2.json
deleted file mode 100644
index bdd798c..0000000
--- a/benchmark/synthetic/Pipeline/AutoEncoder/ae_subseg/ae_subseg_con0.2.json
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deleted file mode 100644
index dd63954..0000000
--- a/benchmark/synthetic/Pipeline/AutoEncoder/ae_subseg/ae_subseg_con0.25.json
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diff --git a/benchmark/synthetic/Pipeline/AutoRegression/ar_pipeline_default/ar_pipeline_con0.01.json b/benchmark/synthetic/Pipeline/AutoRegression/ar_pipeline_default/ar_pipeline_con0.01.json
deleted file mode 100644
index a723b9a..0000000
--- a/benchmark/synthetic/Pipeline/AutoRegression/ar_pipeline_default/ar_pipeline_con0.01.json
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diff --git a/benchmark/synthetic/Pipeline/AutoRegression/ar_pipeline_default/ar_pipeline_con0.05.json b/benchmark/synthetic/Pipeline/AutoRegression/ar_pipeline_default/ar_pipeline_con0.05.json
deleted file mode 100644
index 0907f35..0000000
--- a/benchmark/synthetic/Pipeline/AutoRegression/ar_pipeline_default/ar_pipeline_con0.05.json
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diff --git a/benchmark/synthetic/Pipeline/AutoRegression/ar_pipeline_default/ar_pipeline_con0.15.json b/benchmark/synthetic/Pipeline/AutoRegression/ar_pipeline_default/ar_pipeline_con0.15.json
deleted file mode 100644
index 5e81214..0000000
--- a/benchmark/synthetic/Pipeline/AutoRegression/ar_pipeline_default/ar_pipeline_con0.15.json
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diff --git a/benchmark/synthetic/Pipeline/AutoRegression/ar_pipeline_default/ar_pipeline_con0.2.json b/benchmark/synthetic/Pipeline/AutoRegression/ar_pipeline_default/ar_pipeline_con0.2.json
deleted file mode 100644
index 41d1154..0000000
--- a/benchmark/synthetic/Pipeline/AutoRegression/ar_pipeline_default/ar_pipeline_con0.2.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/AutoRegression/ar_pipeline_default/ar_pipeline_con0.25.json b/benchmark/synthetic/Pipeline/AutoRegression/ar_pipeline_default/ar_pipeline_con0.25.json
deleted file mode 100644
index fc7d510..0000000
--- a/benchmark/synthetic/Pipeline/AutoRegression/ar_pipeline_default/ar_pipeline_con0.25.json
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diff --git a/benchmark/synthetic/Pipeline/AutoRegression/ar_pipeline_win10/ar_pipeline_win10_con0.05.json b/benchmark/synthetic/Pipeline/AutoRegression/ar_pipeline_win10/ar_pipeline_win10_con0.05.json
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--- a/benchmark/synthetic/Pipeline/AutoRegression/ar_pipeline_win10/ar_pipeline_win10_con0.05.json
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diff --git a/benchmark/synthetic/Pipeline/AutoRegression/ar_pipeline_win10/ar_pipeline_win10_con0.1.json b/benchmark/synthetic/Pipeline/AutoRegression/ar_pipeline_win10/ar_pipeline_win10_con0.1.json
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--- a/benchmark/synthetic/Pipeline/AutoRegression/ar_pipeline_win10/ar_pipeline_win10_con0.1.json
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diff --git a/benchmark/synthetic/Pipeline/AutoRegression/ar_pipeline_win10/ar_pipeline_win10_con0.15.json b/benchmark/synthetic/Pipeline/AutoRegression/ar_pipeline_win10/ar_pipeline_win10_con0.15.json
deleted file mode 100644
index 273d05a..0000000
--- a/benchmark/synthetic/Pipeline/AutoRegression/ar_pipeline_win10/ar_pipeline_win10_con0.15.json
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diff --git a/benchmark/synthetic/Pipeline/AutoRegression/ar_pipeline_win10/ar_pipeline_win10_con0.2.json b/benchmark/synthetic/Pipeline/AutoRegression/ar_pipeline_win10/ar_pipeline_win10_con0.2.json
deleted file mode 100644
index 549fd5f..0000000
--- a/benchmark/synthetic/Pipeline/AutoRegression/ar_pipeline_win10/ar_pipeline_win10_con0.2.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/AutoRegression/ar_pipeline_win10/ar_pipeline_win10_con0.25.json b/benchmark/synthetic/Pipeline/AutoRegression/ar_pipeline_win10/ar_pipeline_win10_con0.25.json
deleted file mode 100644
index 26e2ccc..0000000
--- a/benchmark/synthetic/Pipeline/AutoRegression/ar_pipeline_win10/ar_pipeline_win10_con0.25.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/AutoRegression/ar_pipeline_win5/ar_pipeline_win5_con0.05.json b/benchmark/synthetic/Pipeline/AutoRegression/ar_pipeline_win5/ar_pipeline_win5_con0.05.json
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--- a/benchmark/synthetic/Pipeline/AutoRegression/ar_pipeline_win5/ar_pipeline_win5_con0.05.json
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diff --git a/benchmark/synthetic/Pipeline/AutoRegression/ar_pipeline_win5/ar_pipeline_win5_con0.1.json b/benchmark/synthetic/Pipeline/AutoRegression/ar_pipeline_win5/ar_pipeline_win5_con0.1.json
deleted file mode 100644
index f0d34ce..0000000
--- a/benchmark/synthetic/Pipeline/AutoRegression/ar_pipeline_win5/ar_pipeline_win5_con0.1.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/AutoRegression/ar_pipeline_win5/ar_pipeline_win5_con0.15.json b/benchmark/synthetic/Pipeline/AutoRegression/ar_pipeline_win5/ar_pipeline_win5_con0.15.json
deleted file mode 100644
index 498bb72..0000000
--- a/benchmark/synthetic/Pipeline/AutoRegression/ar_pipeline_win5/ar_pipeline_win5_con0.15.json
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diff --git a/benchmark/synthetic/Pipeline/AutoRegression/ar_pipeline_win5/ar_pipeline_win5_con0.2.json b/benchmark/synthetic/Pipeline/AutoRegression/ar_pipeline_win5/ar_pipeline_win5_con0.2.json
deleted file mode 100644
index 3a0d95b..0000000
--- a/benchmark/synthetic/Pipeline/AutoRegression/ar_pipeline_win5/ar_pipeline_win5_con0.2.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/AutoRegression/ar_pipeline_win5/ar_pipeline_win5_con0.25.json b/benchmark/synthetic/Pipeline/AutoRegression/ar_pipeline_win5/ar_pipeline_win5_con0.25.json
deleted file mode 100644
index 9fd86be..0000000
--- a/benchmark/synthetic/Pipeline/AutoRegression/ar_pipeline_win5/ar_pipeline_win5_con0.25.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/iforest/iforest_pipeline_default/iforest_pipeline_con0.05.json b/benchmark/synthetic/Pipeline/iforest/iforest_pipeline_default/iforest_pipeline_con0.05.json
deleted file mode 100644
index c8dddca..0000000
--- a/benchmark/synthetic/Pipeline/iforest/iforest_pipeline_default/iforest_pipeline_con0.05.json
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/benchmark/synthetic/Pipeline/iforest/iforest_pipeline_default/iforest_pipeline_con0.1.json b/benchmark/synthetic/Pipeline/iforest/iforest_pipeline_default/iforest_pipeline_con0.1.json
deleted file mode 100644
index 38de534..0000000
--- a/benchmark/synthetic/Pipeline/iforest/iforest_pipeline_default/iforest_pipeline_con0.1.json
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diff --git a/benchmark/synthetic/Pipeline/iforest/iforest_pipeline_default/iforest_pipeline_con0.15.json b/benchmark/synthetic/Pipeline/iforest/iforest_pipeline_default/iforest_pipeline_con0.15.json
deleted file mode 100644
index b03f7c4..0000000
--- a/benchmark/synthetic/Pipeline/iforest/iforest_pipeline_default/iforest_pipeline_con0.15.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/iforest/iforest_pipeline_default/iforest_pipeline_con0.2.json b/benchmark/synthetic/Pipeline/iforest/iforest_pipeline_default/iforest_pipeline_con0.2.json
deleted file mode 100644
index 4b4b901..0000000
--- a/benchmark/synthetic/Pipeline/iforest/iforest_pipeline_default/iforest_pipeline_con0.2.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/iforest/iforest_pipeline_default/iforest_pipeline_con0.25.json b/benchmark/synthetic/Pipeline/iforest/iforest_pipeline_default/iforest_pipeline_con0.25.json
deleted file mode 100644
index 4df3636..0000000
--- a/benchmark/synthetic/Pipeline/iforest/iforest_pipeline_default/iforest_pipeline_con0.25.json
+++ /dev/null
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\ No newline at end of file
diff --git a/benchmark/synthetic/Pipeline/iforest/iforest_subseg/iforest_subseg_con0.05.json b/benchmark/synthetic/Pipeline/iforest/iforest_subseg/iforest_subseg_con0.05.json
deleted file mode 100644
index 353b900..0000000
--- a/benchmark/synthetic/Pipeline/iforest/iforest_subseg/iforest_subseg_con0.05.json
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/benchmark/synthetic/Pipeline/iforest/iforest_subseg/iforest_subseg_con0.1.json b/benchmark/synthetic/Pipeline/iforest/iforest_subseg/iforest_subseg_con0.1.json
deleted file mode 100644
index c9e2ec8..0000000
--- a/benchmark/synthetic/Pipeline/iforest/iforest_subseg/iforest_subseg_con0.1.json
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/benchmark/synthetic/Pipeline/iforest/iforest_subseg/iforest_subseg_con0.15.json b/benchmark/synthetic/Pipeline/iforest/iforest_subseg/iforest_subseg_con0.15.json
deleted file mode 100644
index 864e3b7..0000000
--- a/benchmark/synthetic/Pipeline/iforest/iforest_subseg/iforest_subseg_con0.15.json
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deleted file mode 100644
index 952e13a..0000000
--- a/benchmark/synthetic/Pipeline/iforest/iforest_subseg/iforest_subseg_con0.2.json
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diff --git a/benchmark/synthetic/Pipeline/iforest/iforest_subseg/iforest_subseg_con0.25.json b/benchmark/synthetic/Pipeline/iforest/iforest_subseg/iforest_subseg_con0.25.json
deleted file mode 100644
index 8c31614..0000000
--- a/benchmark/synthetic/Pipeline/iforest/iforest_subseg/iforest_subseg_con0.25.json
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4/lstm_feature1_layer2_dim4_con0.05.json b/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4/lstm_feature1_layer2_dim4_con0.05.json
deleted file mode 100644
index a9e5f3f..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4/lstm_feature1_layer2_dim4_con0.05.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4/lstm_feature1_layer2_dim4_con0.1.json b/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4/lstm_feature1_layer2_dim4_con0.1.json
deleted file mode 100644
index 326fa79..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4/lstm_feature1_layer2_dim4_con0.1.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4/lstm_feature1_layer2_dim4_con0.15.json b/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4/lstm_feature1_layer2_dim4_con0.15.json
deleted file mode 100644
index b5fb24d..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4/lstm_feature1_layer2_dim4_con0.15.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4/lstm_feature1_layer2_dim4_con0.2.json b/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4/lstm_feature1_layer2_dim4_con0.2.json
deleted file mode 100644
index 8cd3bb3..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4/lstm_feature1_layer2_dim4_con0.2.json
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4/lstm_feature1_layer2_dim4_con0.25.json b/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4/lstm_feature1_layer2_dim4_con0.25.json
deleted file mode 100644
index 989d8cf..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4/lstm_feature1_layer2_dim4_con0.25.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak10_max/lstm_feature1_layer2_dim4_attak10_max_con0.05.json b/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak10_max/lstm_feature1_layer2_dim4_attak10_max_con0.05.json
deleted file mode 100644
index b81ec5c..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak10_max/lstm_feature1_layer2_dim4_attak10_max_con0.05.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak10_max/lstm_feature1_layer2_dim4_attak10_max_con0.1.json b/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak10_max/lstm_feature1_layer2_dim4_attak10_max_con0.1.json
deleted file mode 100644
index 38f3852..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak10_max/lstm_feature1_layer2_dim4_attak10_max_con0.1.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak10_max/lstm_feature1_layer2_dim4_attak10_max_con0.15.json b/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak10_max/lstm_feature1_layer2_dim4_attak10_max_con0.15.json
deleted file mode 100644
index 167d5e9..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak10_max/lstm_feature1_layer2_dim4_attak10_max_con0.15.json
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak10_max/lstm_feature1_layer2_dim4_attak10_max_con0.2.json b/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak10_max/lstm_feature1_layer2_dim4_attak10_max_con0.2.json
deleted file mode 100644
index e5d1b38..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak10_max/lstm_feature1_layer2_dim4_attak10_max_con0.2.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak10_max/lstm_feature1_layer2_dim4_attak10_max_con0.25.json b/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak10_max/lstm_feature1_layer2_dim4_attak10_max_con0.25.json
deleted file mode 100644
index 6c46c04..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak10_max/lstm_feature1_layer2_dim4_attak10_max_con0.25.json
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak10_min/lstm_feature1_layer2_dim4_attak10_min_con0.05.json b/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak10_min/lstm_feature1_layer2_dim4_attak10_min_con0.05.json
deleted file mode 100644
index 91a3900..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak10_min/lstm_feature1_layer2_dim4_attak10_min_con0.05.json
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak10_min/lstm_feature1_layer2_dim4_attak10_min_con0.1.json b/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak10_min/lstm_feature1_layer2_dim4_attak10_min_con0.1.json
deleted file mode 100644
index 6901357..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak10_min/lstm_feature1_layer2_dim4_attak10_min_con0.1.json
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak10_min/lstm_feature1_layer2_dim4_attak10_min_con0.15.json b/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak10_min/lstm_feature1_layer2_dim4_attak10_min_con0.15.json
deleted file mode 100644
index 6aa266f..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak10_min/lstm_feature1_layer2_dim4_attak10_min_con0.15.json
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak10_min/lstm_feature1_layer2_dim4_attak10_min_con0.2.json b/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak10_min/lstm_feature1_layer2_dim4_attak10_min_con0.2.json
deleted file mode 100644
index d1f09bf..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak10_min/lstm_feature1_layer2_dim4_attak10_min_con0.2.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak10_min/lstm_feature1_layer2_dim4_attak10_min_con0.25.json b/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak10_min/lstm_feature1_layer2_dim4_attak10_min_con0.25.json
deleted file mode 100644
index aa9cd40..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak10_min/lstm_feature1_layer2_dim4_attak10_min_con0.25.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak1_max/lstm_feature1_layer2_dim4_attak1_max_con0.05.json b/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak1_max/lstm_feature1_layer2_dim4_attak1_max_con0.05.json
deleted file mode 100644
index 0375064..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak1_max/lstm_feature1_layer2_dim4_attak1_max_con0.05.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak1_max/lstm_feature1_layer2_dim4_attak1_max_con0.1.json b/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak1_max/lstm_feature1_layer2_dim4_attak1_max_con0.1.json
deleted file mode 100644
index be259ee..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak1_max/lstm_feature1_layer2_dim4_attak1_max_con0.1.json
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak1_max/lstm_feature1_layer2_dim4_attak1_max_con0.15.json b/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak1_max/lstm_feature1_layer2_dim4_attak1_max_con0.15.json
deleted file mode 100644
index c724ea3..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak1_max/lstm_feature1_layer2_dim4_attak1_max_con0.15.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak1_max/lstm_feature1_layer2_dim4_attak1_max_con0.2.json b/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak1_max/lstm_feature1_layer2_dim4_attak1_max_con0.2.json
deleted file mode 100644
index 896e2df..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak1_max/lstm_feature1_layer2_dim4_attak1_max_con0.2.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak1_max/lstm_feature1_layer2_dim4_attak1_max_con0.25.json b/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak1_max/lstm_feature1_layer2_dim4_attak1_max_con0.25.json
deleted file mode 100644
index 7b8e79c..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak1_max/lstm_feature1_layer2_dim4_attak1_max_con0.25.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak1_min/lstm_feature1_layer2_dim4_attak1_min_con0.05.json b/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak1_min/lstm_feature1_layer2_dim4_attak1_min_con0.05.json
deleted file mode 100644
index 5dd011e..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak1_min/lstm_feature1_layer2_dim4_attak1_min_con0.05.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak1_min/lstm_feature1_layer2_dim4_attak1_min_con0.1.json b/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak1_min/lstm_feature1_layer2_dim4_attak1_min_con0.1.json
deleted file mode 100644
index 6a26bda..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak1_min/lstm_feature1_layer2_dim4_attak1_min_con0.1.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak1_min/lstm_feature1_layer2_dim4_attak1_min_con0.15.json b/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak1_min/lstm_feature1_layer2_dim4_attak1_min_con0.15.json
deleted file mode 100644
index 8782182..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak1_min/lstm_feature1_layer2_dim4_attak1_min_con0.15.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak1_min/lstm_feature1_layer2_dim4_attak1_min_con0.2.json b/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak1_min/lstm_feature1_layer2_dim4_attak1_min_con0.2.json
deleted file mode 100644
index 112eeab..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak1_min/lstm_feature1_layer2_dim4_attak1_min_con0.2.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak1_min/lstm_feature1_layer2_dim4_attak1_min_con0.25.json b/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak1_min/lstm_feature1_layer2_dim4_attak1_min_con0.25.json
deleted file mode 100644
index 00157dd..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature1_layer2_dim4_attak1_min/lstm_feature1_layer2_dim4_attak1_min_con0.25.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature5_layer10_dim32/lstm_feature5_layer10_dim32_con0.05.json b/benchmark/synthetic/Pipeline/lstm_feature5_layer10_dim32/lstm_feature5_layer10_dim32_con0.05.json
deleted file mode 100644
index 7b01c2e..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature5_layer10_dim32/lstm_feature5_layer10_dim32_con0.05.json
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature5_layer10_dim32/lstm_feature5_layer10_dim32_con0.1.json b/benchmark/synthetic/Pipeline/lstm_feature5_layer10_dim32/lstm_feature5_layer10_dim32_con0.1.json
deleted file mode 100644
index a6a5276..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature5_layer10_dim32/lstm_feature5_layer10_dim32_con0.1.json
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature5_layer10_dim32/lstm_feature5_layer10_dim32_con0.15.json b/benchmark/synthetic/Pipeline/lstm_feature5_layer10_dim32/lstm_feature5_layer10_dim32_con0.15.json
deleted file mode 100644
index 3f17148..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature5_layer10_dim32/lstm_feature5_layer10_dim32_con0.15.json
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature5_layer10_dim32/lstm_feature5_layer10_dim32_con0.2.json b/benchmark/synthetic/Pipeline/lstm_feature5_layer10_dim32/lstm_feature5_layer10_dim32_con0.2.json
deleted file mode 100644
index e3d424f..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature5_layer10_dim32/lstm_feature5_layer10_dim32_con0.2.json
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature5_layer10_dim32/lstm_feature5_layer10_dim32_con0.25.json b/benchmark/synthetic/Pipeline/lstm_feature5_layer10_dim32/lstm_feature5_layer10_dim32_con0.25.json
deleted file mode 100644
index a29cc9a..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature5_layer10_dim32/lstm_feature5_layer10_dim32_con0.25.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature5_layer10_dim64/lstm_feature5_layer10_dim64_con0.05.json b/benchmark/synthetic/Pipeline/lstm_feature5_layer10_dim64/lstm_feature5_layer10_dim64_con0.05.json
deleted file mode 100644
index df8bfea..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature5_layer10_dim64/lstm_feature5_layer10_dim64_con0.05.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature5_layer10_dim64/lstm_feature5_layer10_dim64_con0.1.json b/benchmark/synthetic/Pipeline/lstm_feature5_layer10_dim64/lstm_feature5_layer10_dim64_con0.1.json
deleted file mode 100644
index 92ea01c..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature5_layer10_dim64/lstm_feature5_layer10_dim64_con0.1.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature5_layer10_dim64/lstm_feature5_layer10_dim64_con0.15.json b/benchmark/synthetic/Pipeline/lstm_feature5_layer10_dim64/lstm_feature5_layer10_dim64_con0.15.json
deleted file mode 100644
index 8776838..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature5_layer10_dim64/lstm_feature5_layer10_dim64_con0.15.json
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature5_layer10_dim64/lstm_feature5_layer10_dim64_con0.2.json b/benchmark/synthetic/Pipeline/lstm_feature5_layer10_dim64/lstm_feature5_layer10_dim64_con0.2.json
deleted file mode 100644
index f0abd14..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature5_layer10_dim64/lstm_feature5_layer10_dim64_con0.2.json
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature5_layer10_dim64/lstm_feature5_layer10_dim64_con0.25.json b/benchmark/synthetic/Pipeline/lstm_feature5_layer10_dim64/lstm_feature5_layer10_dim64_con0.25.json
deleted file mode 100644
index 18b7cf2..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature5_layer10_dim64/lstm_feature5_layer10_dim64_con0.25.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature5_layer2_dim4_attak10_max/lstm_feature5_layer2_dim4_attak10_max_con0.05.json b/benchmark/synthetic/Pipeline/lstm_feature5_layer2_dim4_attak10_max/lstm_feature5_layer2_dim4_attak10_max_con0.05.json
deleted file mode 100644
index 3c1c462..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature5_layer2_dim4_attak10_max/lstm_feature5_layer2_dim4_attak10_max_con0.05.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature5_layer2_dim4_attak10_max/lstm_feature5_layer2_dim4_attak10_max_con0.1.json b/benchmark/synthetic/Pipeline/lstm_feature5_layer2_dim4_attak10_max/lstm_feature5_layer2_dim4_attak10_max_con0.1.json
deleted file mode 100644
index cb208a5..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature5_layer2_dim4_attak10_max/lstm_feature5_layer2_dim4_attak10_max_con0.1.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature5_layer2_dim4_attak10_max/lstm_feature5_layer2_dim4_attak10_max_con0.15.json b/benchmark/synthetic/Pipeline/lstm_feature5_layer2_dim4_attak10_max/lstm_feature5_layer2_dim4_attak10_max_con0.15.json
deleted file mode 100644
index 7fdbed3..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature5_layer2_dim4_attak10_max/lstm_feature5_layer2_dim4_attak10_max_con0.15.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature5_layer2_dim4_attak10_max/lstm_feature5_layer2_dim4_attak10_max_con0.2.json b/benchmark/synthetic/Pipeline/lstm_feature5_layer2_dim4_attak10_max/lstm_feature5_layer2_dim4_attak10_max_con0.2.json
deleted file mode 100644
index a5d9f3d..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature5_layer2_dim4_attak10_max/lstm_feature5_layer2_dim4_attak10_max_con0.2.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature5_layer2_dim4_attak10_max/lstm_feature5_layer2_dim4_attak10_max_con0.25.json b/benchmark/synthetic/Pipeline/lstm_feature5_layer2_dim4_attak10_max/lstm_feature5_layer2_dim4_attak10_max_con0.25.json
deleted file mode 100644
index 25dd5c5..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature5_layer2_dim4_attak10_max/lstm_feature5_layer2_dim4_attak10_max_con0.25.json
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature5_layer2_dim4_attak10_min_con0.1/lstm_feature5_layer2_dim4_attak10_min_con0.05.json b/benchmark/synthetic/Pipeline/lstm_feature5_layer2_dim4_attak10_min_con0.1/lstm_feature5_layer2_dim4_attak10_min_con0.05.json
deleted file mode 100644
index eb3f4ea..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature5_layer2_dim4_attak10_min_con0.1/lstm_feature5_layer2_dim4_attak10_min_con0.05.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature5_layer2_dim4_attak10_min_con0.1/lstm_feature5_layer2_dim4_attak10_min_con0.1.json b/benchmark/synthetic/Pipeline/lstm_feature5_layer2_dim4_attak10_min_con0.1/lstm_feature5_layer2_dim4_attak10_min_con0.1.json
deleted file mode 100644
index d8270e9..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature5_layer2_dim4_attak10_min_con0.1/lstm_feature5_layer2_dim4_attak10_min_con0.1.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature5_layer2_dim4_attak10_min_con0.1/lstm_feature5_layer2_dim4_attak10_min_con0.15.json b/benchmark/synthetic/Pipeline/lstm_feature5_layer2_dim4_attak10_min_con0.1/lstm_feature5_layer2_dim4_attak10_min_con0.15.json
deleted file mode 100644
index e0e5daa..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature5_layer2_dim4_attak10_min_con0.1/lstm_feature5_layer2_dim4_attak10_min_con0.15.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature5_layer2_dim4_attak10_min_con0.1/lstm_feature5_layer2_dim4_attak10_min_con0.2.json b/benchmark/synthetic/Pipeline/lstm_feature5_layer2_dim4_attak10_min_con0.1/lstm_feature5_layer2_dim4_attak10_min_con0.2.json
deleted file mode 100644
index 5abc825..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature5_layer2_dim4_attak10_min_con0.1/lstm_feature5_layer2_dim4_attak10_min_con0.2.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature5_layer2_dim4_attak10_min_con0.1/lstm_feature5_layer2_dim4_attak10_min_con0.25.json b/benchmark/synthetic/Pipeline/lstm_feature5_layer2_dim4_attak10_min_con0.1/lstm_feature5_layer2_dim4_attak10_min_con0.25.json
deleted file mode 100644
index 536d6c3..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature5_layer2_dim4_attak10_min_con0.1/lstm_feature5_layer2_dim4_attak10_min_con0.25.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature5_layer5_dim32/lstm_feature5_layer5_dim32_con0.05.json b/benchmark/synthetic/Pipeline/lstm_feature5_layer5_dim32/lstm_feature5_layer5_dim32_con0.05.json
deleted file mode 100644
index 5ad975d..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature5_layer5_dim32/lstm_feature5_layer5_dim32_con0.05.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature5_layer5_dim32/lstm_feature5_layer5_dim32_con0.1.json b/benchmark/synthetic/Pipeline/lstm_feature5_layer5_dim32/lstm_feature5_layer5_dim32_con0.1.json
deleted file mode 100644
index cc765f4..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature5_layer5_dim32/lstm_feature5_layer5_dim32_con0.1.json
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature5_layer5_dim32/lstm_feature5_layer5_dim32_con0.15.json b/benchmark/synthetic/Pipeline/lstm_feature5_layer5_dim32/lstm_feature5_layer5_dim32_con0.15.json
deleted file mode 100644
index 71fab23..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature5_layer5_dim32/lstm_feature5_layer5_dim32_con0.15.json
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature5_layer5_dim32/lstm_feature5_layer5_dim32_con0.2.json b/benchmark/synthetic/Pipeline/lstm_feature5_layer5_dim32/lstm_feature5_layer5_dim32_con0.2.json
deleted file mode 100644
index f066327..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature5_layer5_dim32/lstm_feature5_layer5_dim32_con0.2.json
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature5_layer5_dim32/lstm_feature5_layer5_dim32_con0.25.json b/benchmark/synthetic/Pipeline/lstm_feature5_layer5_dim32/lstm_feature5_layer5_dim32_con0.25.json
deleted file mode 100644
index e35ac2e..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature5_layer5_dim32/lstm_feature5_layer5_dim32_con0.25.json
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature5_layer5_dim64/lstm_feature5_layer5_dim64_con0.05.json b/benchmark/synthetic/Pipeline/lstm_feature5_layer5_dim64/lstm_feature5_layer5_dim64_con0.05.json
deleted file mode 100644
index 8ace11b..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature5_layer5_dim64/lstm_feature5_layer5_dim64_con0.05.json
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature5_layer5_dim64/lstm_feature5_layer5_dim64_con0.1.json b/benchmark/synthetic/Pipeline/lstm_feature5_layer5_dim64/lstm_feature5_layer5_dim64_con0.1.json
deleted file mode 100644
index 8f8b6c6..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature5_layer5_dim64/lstm_feature5_layer5_dim64_con0.1.json
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature5_layer5_dim64/lstm_feature5_layer5_dim64_con0.15.json b/benchmark/synthetic/Pipeline/lstm_feature5_layer5_dim64/lstm_feature5_layer5_dim64_con0.15.json
deleted file mode 100644
index 2940013..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature5_layer5_dim64/lstm_feature5_layer5_dim64_con0.15.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature5_layer5_dim64/lstm_feature5_layer5_dim64_con0.2.json b/benchmark/synthetic/Pipeline/lstm_feature5_layer5_dim64/lstm_feature5_layer5_dim64_con0.2.json
deleted file mode 100644
index 45821a9..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature5_layer5_dim64/lstm_feature5_layer5_dim64_con0.2.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/lstm_feature5_layer5_dim64/lstm_feature5_layer5_dim64_con0.25.json b/benchmark/synthetic/Pipeline/lstm_feature5_layer5_dim64/lstm_feature5_layer5_dim64_con0.25.json
deleted file mode 100644
index 5587603..0000000
--- a/benchmark/synthetic/Pipeline/lstm_feature5_layer5_dim64/lstm_feature5_layer5_dim64_con0.25.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/lstm_pipeline_default/lstm_pipeline_con0.05.json b/benchmark/synthetic/Pipeline/lstm_pipeline_default/lstm_pipeline_con0.05.json
deleted file mode 100644
index 6575312..0000000
--- a/benchmark/synthetic/Pipeline/lstm_pipeline_default/lstm_pipeline_con0.05.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/lstm_pipeline_default/lstm_pipeline_con0.1.json b/benchmark/synthetic/Pipeline/lstm_pipeline_default/lstm_pipeline_con0.1.json
deleted file mode 100644
index 4a5e23f..0000000
--- a/benchmark/synthetic/Pipeline/lstm_pipeline_default/lstm_pipeline_con0.1.json
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/benchmark/synthetic/Pipeline/lstm_pipeline_default/lstm_pipeline_con0.15.json b/benchmark/synthetic/Pipeline/lstm_pipeline_default/lstm_pipeline_con0.15.json
deleted file mode 100644
index 6d76227..0000000
--- a/benchmark/synthetic/Pipeline/lstm_pipeline_default/lstm_pipeline_con0.15.json
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diff --git a/benchmark/synthetic/Pipeline/lstm_pipeline_default/lstm_pipeline_con0.2.json b/benchmark/synthetic/Pipeline/lstm_pipeline_default/lstm_pipeline_con0.2.json
deleted file mode 100644
index 2f510de..0000000
--- a/benchmark/synthetic/Pipeline/lstm_pipeline_default/lstm_pipeline_con0.2.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/lstm_pipeline_default/lstm_pipeline_con0.25.json b/benchmark/synthetic/Pipeline/lstm_pipeline_default/lstm_pipeline_con0.25.json
deleted file mode 100644
index ab13f67..0000000
--- a/benchmark/synthetic/Pipeline/lstm_pipeline_default/lstm_pipeline_con0.25.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/lstm_pipeline_layer10_dim32/lstm_pipeline_layer10_dim32_con0.05.json b/benchmark/synthetic/Pipeline/lstm_pipeline_layer10_dim32/lstm_pipeline_layer10_dim32_con0.05.json
deleted file mode 100644
index e1e77fb..0000000
--- a/benchmark/synthetic/Pipeline/lstm_pipeline_layer10_dim32/lstm_pipeline_layer10_dim32_con0.05.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/lstm_pipeline_layer10_dim32/lstm_pipeline_layer10_dim32_con0.1.json b/benchmark/synthetic/Pipeline/lstm_pipeline_layer10_dim32/lstm_pipeline_layer10_dim32_con0.1.json
deleted file mode 100644
index 6859ffd..0000000
--- a/benchmark/synthetic/Pipeline/lstm_pipeline_layer10_dim32/lstm_pipeline_layer10_dim32_con0.1.json
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/benchmark/synthetic/Pipeline/lstm_pipeline_layer10_dim32/lstm_pipeline_layer10_dim32_con0.15.json b/benchmark/synthetic/Pipeline/lstm_pipeline_layer10_dim32/lstm_pipeline_layer10_dim32_con0.15.json
deleted file mode 100644
index e1751b9..0000000
--- a/benchmark/synthetic/Pipeline/lstm_pipeline_layer10_dim32/lstm_pipeline_layer10_dim32_con0.15.json
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/benchmark/synthetic/Pipeline/lstm_pipeline_layer10_dim32/lstm_pipeline_layer10_dim32_con0.2.json b/benchmark/synthetic/Pipeline/lstm_pipeline_layer10_dim32/lstm_pipeline_layer10_dim32_con0.2.json
deleted file mode 100644
index 0e05d30..0000000
--- a/benchmark/synthetic/Pipeline/lstm_pipeline_layer10_dim32/lstm_pipeline_layer10_dim32_con0.2.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/lstm_pipeline_layer10_dim32/lstm_pipeline_layer10_dim32_con0.25.json b/benchmark/synthetic/Pipeline/lstm_pipeline_layer10_dim32/lstm_pipeline_layer10_dim32_con0.25.json
deleted file mode 100644
index 682b996..0000000
--- a/benchmark/synthetic/Pipeline/lstm_pipeline_layer10_dim32/lstm_pipeline_layer10_dim32_con0.25.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/lstm_pipeline_layer10_dim64/lstm_pipeline_layer10_dim64_con0.05.json b/benchmark/synthetic/Pipeline/lstm_pipeline_layer10_dim64/lstm_pipeline_layer10_dim64_con0.05.json
deleted file mode 100644
index d71ef43..0000000
--- a/benchmark/synthetic/Pipeline/lstm_pipeline_layer10_dim64/lstm_pipeline_layer10_dim64_con0.05.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/lstm_pipeline_layer10_dim64/lstm_pipeline_layer10_dim64_con0.1.json b/benchmark/synthetic/Pipeline/lstm_pipeline_layer10_dim64/lstm_pipeline_layer10_dim64_con0.1.json
deleted file mode 100644
index 95e0711..0000000
--- a/benchmark/synthetic/Pipeline/lstm_pipeline_layer10_dim64/lstm_pipeline_layer10_dim64_con0.1.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/lstm_pipeline_layer10_dim64/lstm_pipeline_layer10_dim64_con0.15.json b/benchmark/synthetic/Pipeline/lstm_pipeline_layer10_dim64/lstm_pipeline_layer10_dim64_con0.15.json
deleted file mode 100644
index a741a80..0000000
--- a/benchmark/synthetic/Pipeline/lstm_pipeline_layer10_dim64/lstm_pipeline_layer10_dim64_con0.15.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/lstm_pipeline_layer10_dim64/lstm_pipeline_layer10_dim64_con0.2.json b/benchmark/synthetic/Pipeline/lstm_pipeline_layer10_dim64/lstm_pipeline_layer10_dim64_con0.2.json
deleted file mode 100644
index aa58e03..0000000
--- a/benchmark/synthetic/Pipeline/lstm_pipeline_layer10_dim64/lstm_pipeline_layer10_dim64_con0.2.json
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/benchmark/synthetic/Pipeline/lstm_pipeline_layer10_dim64/lstm_pipeline_layer10_dim64_con0.25.json b/benchmark/synthetic/Pipeline/lstm_pipeline_layer10_dim64/lstm_pipeline_layer10_dim64_con0.25.json
deleted file mode 100644
index 11244c4..0000000
--- a/benchmark/synthetic/Pipeline/lstm_pipeline_layer10_dim64/lstm_pipeline_layer10_dim64_con0.25.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/lstm_pipeline_layer5_dim32/lstm_pipeline_layer5_dim32_con0.05.json b/benchmark/synthetic/Pipeline/lstm_pipeline_layer5_dim32/lstm_pipeline_layer5_dim32_con0.05.json
deleted file mode 100644
index ac6339c..0000000
--- a/benchmark/synthetic/Pipeline/lstm_pipeline_layer5_dim32/lstm_pipeline_layer5_dim32_con0.05.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/lstm_pipeline_layer5_dim32/lstm_pipeline_layer5_dim32_con0.1.json b/benchmark/synthetic/Pipeline/lstm_pipeline_layer5_dim32/lstm_pipeline_layer5_dim32_con0.1.json
deleted file mode 100644
index 8058b98..0000000
--- a/benchmark/synthetic/Pipeline/lstm_pipeline_layer5_dim32/lstm_pipeline_layer5_dim32_con0.1.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/lstm_pipeline_layer5_dim32/lstm_pipeline_layer5_dim32_con0.15.json b/benchmark/synthetic/Pipeline/lstm_pipeline_layer5_dim32/lstm_pipeline_layer5_dim32_con0.15.json
deleted file mode 100644
index 02e8d70..0000000
--- a/benchmark/synthetic/Pipeline/lstm_pipeline_layer5_dim32/lstm_pipeline_layer5_dim32_con0.15.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/lstm_pipeline_layer5_dim32/lstm_pipeline_layer5_dim32_con0.2.json b/benchmark/synthetic/Pipeline/lstm_pipeline_layer5_dim32/lstm_pipeline_layer5_dim32_con0.2.json
deleted file mode 100644
index 640bfb1..0000000
--- a/benchmark/synthetic/Pipeline/lstm_pipeline_layer5_dim32/lstm_pipeline_layer5_dim32_con0.2.json
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/benchmark/synthetic/Pipeline/lstm_pipeline_layer5_dim32/lstm_pipeline_layer5_dim32_con0.25.json b/benchmark/synthetic/Pipeline/lstm_pipeline_layer5_dim32/lstm_pipeline_layer5_dim32_con0.25.json
deleted file mode 100644
index ea9e69b..0000000
--- a/benchmark/synthetic/Pipeline/lstm_pipeline_layer5_dim32/lstm_pipeline_layer5_dim32_con0.25.json
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/benchmark/synthetic/Pipeline/lstm_pipeline_layer5_dim64/lstm_pipeline_layer5_dim64_con0.05.json b/benchmark/synthetic/Pipeline/lstm_pipeline_layer5_dim64/lstm_pipeline_layer5_dim64_con0.05.json
deleted file mode 100644
index f4db180..0000000
--- a/benchmark/synthetic/Pipeline/lstm_pipeline_layer5_dim64/lstm_pipeline_layer5_dim64_con0.05.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/lstm_pipeline_layer5_dim64/lstm_pipeline_layer5_dim64_con0.1.json b/benchmark/synthetic/Pipeline/lstm_pipeline_layer5_dim64/lstm_pipeline_layer5_dim64_con0.1.json
deleted file mode 100644
index 9dad19f..0000000
--- a/benchmark/synthetic/Pipeline/lstm_pipeline_layer5_dim64/lstm_pipeline_layer5_dim64_con0.1.json
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diff --git a/benchmark/synthetic/Pipeline/lstm_pipeline_layer5_dim64/lstm_pipeline_layer5_dim64_con0.15.json b/benchmark/synthetic/Pipeline/lstm_pipeline_layer5_dim64/lstm_pipeline_layer5_dim64_con0.15.json
deleted file mode 100644
index 3955b80..0000000
--- a/benchmark/synthetic/Pipeline/lstm_pipeline_layer5_dim64/lstm_pipeline_layer5_dim64_con0.15.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/lstm_pipeline_layer5_dim64/lstm_pipeline_layer5_dim64_con0.2.json b/benchmark/synthetic/Pipeline/lstm_pipeline_layer5_dim64/lstm_pipeline_layer5_dim64_con0.2.json
deleted file mode 100644
index f047335..0000000
--- a/benchmark/synthetic/Pipeline/lstm_pipeline_layer5_dim64/lstm_pipeline_layer5_dim64_con0.2.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/lstm_pipeline_layer5_dim64/lstm_pipeline_layer5_dim64_con0.25.json b/benchmark/synthetic/Pipeline/lstm_pipeline_layer5_dim64/lstm_pipeline_layer5_dim64_con0.25.json
deleted file mode 100644
index 9659c0e..0000000
--- a/benchmark/synthetic/Pipeline/lstm_pipeline_layer5_dim64/lstm_pipeline_layer5_dim64_con0.25.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k1/mogaal_pipeline_k1_con0.05.json b/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k1/mogaal_pipeline_k1_con0.05.json
deleted file mode 100644
index 2a64de3..0000000
--- a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k1/mogaal_pipeline_k1_con0.05.json
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k1/mogaal_pipeline_k1_con0.1.json b/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k1/mogaal_pipeline_k1_con0.1.json
deleted file mode 100644
index f3c101e..0000000
--- a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k1/mogaal_pipeline_k1_con0.1.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k1/mogaal_pipeline_k1_con0.15.json b/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k1/mogaal_pipeline_k1_con0.15.json
deleted file mode 100644
index a879dcb..0000000
--- a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k1/mogaal_pipeline_k1_con0.15.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k1/mogaal_pipeline_k1_con0.2.json b/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k1/mogaal_pipeline_k1_con0.2.json
deleted file mode 100644
index 74d54cc..0000000
--- a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k1/mogaal_pipeline_k1_con0.2.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k1/mogaal_pipeline_k1_con0.25.json b/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k1/mogaal_pipeline_k1_con0.25.json
deleted file mode 100644
index c8d7c2d..0000000
--- a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k1/mogaal_pipeline_k1_con0.25.json
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k2/mogaal_pipeline_k2_con0.05.json b/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k2/mogaal_pipeline_k2_con0.05.json
deleted file mode 100644
index 87e92da..0000000
--- a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k2/mogaal_pipeline_k2_con0.05.json
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k2/mogaal_pipeline_k2_con0.1.json b/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k2/mogaal_pipeline_k2_con0.1.json
deleted file mode 100644
index 0a08b0b..0000000
--- a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k2/mogaal_pipeline_k2_con0.1.json
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k2/mogaal_pipeline_k2_con0.15.json b/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k2/mogaal_pipeline_k2_con0.15.json
deleted file mode 100644
index 0f2ec65..0000000
--- a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k2/mogaal_pipeline_k2_con0.15.json
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k2/mogaal_pipeline_k2_con0.2.json b/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k2/mogaal_pipeline_k2_con0.2.json
deleted file mode 100644
index 6b5b80f..0000000
--- a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k2/mogaal_pipeline_k2_con0.2.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k2/mogaal_pipeline_k2_con0.25.json b/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k2/mogaal_pipeline_k2_con0.25.json
deleted file mode 100644
index 571b264..0000000
--- a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k2/mogaal_pipeline_k2_con0.25.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k3/mogaal_pipeline_k3_con0.05.json b/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k3/mogaal_pipeline_k3_con0.05.json
deleted file mode 100644
index 6590fed..0000000
--- a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k3/mogaal_pipeline_k3_con0.05.json
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k3/mogaal_pipeline_k3_con0.1.json b/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k3/mogaal_pipeline_k3_con0.1.json
deleted file mode 100644
index a8c4f83..0000000
--- a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k3/mogaal_pipeline_k3_con0.1.json
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k3/mogaal_pipeline_k3_con0.15.json b/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k3/mogaal_pipeline_k3_con0.15.json
deleted file mode 100644
index 2e65931..0000000
--- a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k3/mogaal_pipeline_k3_con0.15.json
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k3/mogaal_pipeline_k3_con0.2.json b/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k3/mogaal_pipeline_k3_con0.2.json
deleted file mode 100644
index e84da65..0000000
--- a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k3/mogaal_pipeline_k3_con0.2.json
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k3/mogaal_pipeline_k3_con0.25.json b/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k3/mogaal_pipeline_k3_con0.25.json
deleted file mode 100644
index 4870341..0000000
--- a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k3/mogaal_pipeline_k3_con0.25.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k4/mogaal_pipeline_k4_con0.05.json b/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k4/mogaal_pipeline_k4_con0.05.json
deleted file mode 100644
index bb25f88..0000000
--- a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k4/mogaal_pipeline_k4_con0.05.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k4/mogaal_pipeline_k4_con0.1.json b/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k4/mogaal_pipeline_k4_con0.1.json
deleted file mode 100644
index 75d3d40..0000000
--- a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k4/mogaal_pipeline_k4_con0.1.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k4/mogaal_pipeline_k4_con0.15.json b/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k4/mogaal_pipeline_k4_con0.15.json
deleted file mode 100644
index 04a790d..0000000
--- a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k4/mogaal_pipeline_k4_con0.15.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k4/mogaal_pipeline_k4_con0.2.json b/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k4/mogaal_pipeline_k4_con0.2.json
deleted file mode 100644
index 033aaa7..0000000
--- a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k4/mogaal_pipeline_k4_con0.2.json
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k4/mogaal_pipeline_k4_con0.25.json b/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k4/mogaal_pipeline_k4_con0.25.json
deleted file mode 100644
index a4fa970..0000000
--- a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k4/mogaal_pipeline_k4_con0.25.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k5/mogaal_pipeline_k5_con0.05.json b/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k5/mogaal_pipeline_k5_con0.05.json
deleted file mode 100644
index 441c13b..0000000
--- a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k5/mogaal_pipeline_k5_con0.05.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k5/mogaal_pipeline_k5_con0.1.json b/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k5/mogaal_pipeline_k5_con0.1.json
deleted file mode 100644
index bede950..0000000
--- a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k5/mogaal_pipeline_k5_con0.1.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k5/mogaal_pipeline_k5_con0.15.json b/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k5/mogaal_pipeline_k5_con0.15.json
deleted file mode 100644
index 78c09f2..0000000
--- a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k5/mogaal_pipeline_k5_con0.15.json
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k5/mogaal_pipeline_k5_con0.2.json b/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k5/mogaal_pipeline_k5_con0.2.json
deleted file mode 100644
index 4353fdd..0000000
--- a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k5/mogaal_pipeline_k5_con0.2.json
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k5/mogaal_pipeline_k5_con0.25.json b/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k5/mogaal_pipeline_k5_con0.25.json
deleted file mode 100644
index 340141a..0000000
--- a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k5/mogaal_pipeline_k5_con0.25.json
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k6/mogaal_pipeline_k6_con0.05.json b/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k6/mogaal_pipeline_k6_con0.05.json
deleted file mode 100644
index f4b7770..0000000
--- a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k6/mogaal_pipeline_k6_con0.05.json
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k6/mogaal_pipeline_k6_con0.1.json b/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k6/mogaal_pipeline_k6_con0.1.json
deleted file mode 100644
index 5060cef..0000000
--- a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k6/mogaal_pipeline_k6_con0.1.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k6/mogaal_pipeline_k6_con0.15.json b/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k6/mogaal_pipeline_k6_con0.15.json
deleted file mode 100644
index 19ea194..0000000
--- a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k6/mogaal_pipeline_k6_con0.15.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k6/mogaal_pipeline_k6_con0.2.json b/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k6/mogaal_pipeline_k6_con0.2.json
deleted file mode 100644
index 2904eab..0000000
--- a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k6/mogaal_pipeline_k6_con0.2.json
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k6/mogaal_pipeline_k6_con0.25.json b/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k6/mogaal_pipeline_k6_con0.25.json
deleted file mode 100644
index 8143358..0000000
--- a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k6/mogaal_pipeline_k6_con0.25.json
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k7/mogaal_pipeline_k7_con0.05.json b/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k7/mogaal_pipeline_k7_con0.05.json
deleted file mode 100644
index d22d212..0000000
--- a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k7/mogaal_pipeline_k7_con0.05.json
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k7/mogaal_pipeline_k7_con0.1.json b/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k7/mogaal_pipeline_k7_con0.1.json
deleted file mode 100644
index 18e3cc4..0000000
--- a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k7/mogaal_pipeline_k7_con0.1.json
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k7/mogaal_pipeline_k7_con0.15.json b/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k7/mogaal_pipeline_k7_con0.15.json
deleted file mode 100644
index 814540a..0000000
--- a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k7/mogaal_pipeline_k7_con0.15.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k7/mogaal_pipeline_k7_con0.2.json b/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k7/mogaal_pipeline_k7_con0.2.json
deleted file mode 100644
index ed7b7a2..0000000
--- a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k7/mogaal_pipeline_k7_con0.2.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k7/mogaal_pipeline_k7_con0.25.json b/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k7/mogaal_pipeline_k7_con0.25.json
deleted file mode 100644
index 78583a0..0000000
--- a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k7/mogaal_pipeline_k7_con0.25.json
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k8/mogaal_pipeline_k8_con0.05.json b/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k8/mogaal_pipeline_k8_con0.05.json
deleted file mode 100644
index e1abb36..0000000
--- a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k8/mogaal_pipeline_k8_con0.05.json
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k8/mogaal_pipeline_k8_con0.1.json b/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k8/mogaal_pipeline_k8_con0.1.json
deleted file mode 100644
index 5fcd85d..0000000
--- a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k8/mogaal_pipeline_k8_con0.1.json
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k8/mogaal_pipeline_k8_con0.15.json b/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k8/mogaal_pipeline_k8_con0.15.json
deleted file mode 100644
index f60b402..0000000
--- a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k8/mogaal_pipeline_k8_con0.15.json
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k8/mogaal_pipeline_k8_con0.2.json b/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k8/mogaal_pipeline_k8_con0.2.json
deleted file mode 100644
index 4efe5aa..0000000
--- a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k8/mogaal_pipeline_k8_con0.2.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k8/mogaal_pipeline_k8_con0.25.json b/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k8/mogaal_pipeline_k8_con0.25.json
deleted file mode 100644
index 7630479..0000000
--- a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k8/mogaal_pipeline_k8_con0.25.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k9/mogaal_pipeline_k9_con0.05.json b/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k9/mogaal_pipeline_k9_con0.05.json
deleted file mode 100644
index 24c734b..0000000
--- a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k9/mogaal_pipeline_k9_con0.05.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k9/mogaal_pipeline_k9_con0.1.json b/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k9/mogaal_pipeline_k9_con0.1.json
deleted file mode 100644
index a769038..0000000
--- a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k9/mogaal_pipeline_k9_con0.1.json
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k9/mogaal_pipeline_k9_con0.15.json b/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k9/mogaal_pipeline_k9_con0.15.json
deleted file mode 100644
index e111409..0000000
--- a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k9/mogaal_pipeline_k9_con0.15.json
+++ /dev/null
@@ -1 +0,0 @@
-{"id": "ec521d1e-59e4-4e93-9299-7bbdd864e550", "schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json", "created": "2021-06-06T09:19:29.028326Z", "inputs": [{"name": "inputs"}], "outputs": [{"data": "steps.5.produce", "name": "output predictions"}], "steps": [{"type": "PRIMITIVE", "primitive": {"id": "c78138d9-9377-31dc-aee8-83d9df049c60", "version": "0.3.0", "python_path": "d3m.primitives.tods.data_processing.dataset_to_dataframe", "name": "Extract a DataFrame from a Dataset"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "inputs.0"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "81235c29-aeb9-3828-911a-1b25319b6998", "version": "0.6.0", "python_path": "d3m.primitives.tods.data_processing.column_parser", "name": "Parses strings into their types"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "a996cd89-ddf0-367f-8e7f-8c013cbc2891", "version": "0.4.0", "python_path": "d3m.primitives.tods.data_processing.extract_columns_by_semantic_types", "name": "Extracts columns by semantic type"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.1.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"semantic_types": {"type": "VALUE", "data": ["https://metadata.datadrivendiscovery.org/types/Attribute"]}}}, {"type": "PRIMITIVE", "primitive": {"id": "a996cd89-ddf0-367f-8e7f-8c013cbc2891", "version": "0.4.0", "python_path": "d3m.primitives.tods.data_processing.extract_columns_by_semantic_types", "name": "Extracts columns by semantic type"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"semantic_types": {"type": "VALUE", "data": ["https://metadata.datadrivendiscovery.org/types/TrueTarget"]}}}, {"type": "PRIMITIVE", "primitive": {"id": "906b96ea-f260-4ede-8f55-c26d1367eb32", "version": "0.1.0", "python_path": "d3m.primitives.tods.detection_algorithm.pyod_mogaal", "name": "Mo_Gaal Anomaly Detection", "digest": "474245e053d91607db01bb56b67cfa3ac05c057edd8195c6cbd4f9fbaada0be8"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.2.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"k": {"type": "VALUE", "data": 9}, "stop_epochs": {"type": "VALUE", "data": 50}, "contamination": {"type": "VALUE", "data": 0.15}}}, {"type": "PRIMITIVE", "primitive": {"id": "2530840a-07d4-3874-b7d8-9eb5e4ae2bf3", "version": "0.3.0", "python_path": "d3m.primitives.tods.data_processing.construct_predictions", "name": "Construct pipeline predictions output"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.4.produce"}, "reference": {"type": "CONTAINER", "data": "steps.1.produce"}}, "outputs": [{"id": "produce"}]}], "digest": "8e8a4377b9744c2e7d25489f643aa8c1ac9f2e8abd2b5fe772febb5f1810fa5c"}
\ No newline at end of file
diff --git a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k9/mogaal_pipeline_k9_con0.2.json b/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k9/mogaal_pipeline_k9_con0.2.json
deleted file mode 100644
index c95cb2c..0000000
--- a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k9/mogaal_pipeline_k9_con0.2.json
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k9/mogaal_pipeline_k9_con0.25.json b/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k9/mogaal_pipeline_k9_con0.25.json
deleted file mode 100644
index 8b5b0d0..0000000
--- a/benchmark/synthetic/Pipeline/mogaal_k1-10/mogaal_pipeline_k9/mogaal_pipeline_k9_con0.25.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/mogaal_subseg/mogaal_pipeline_k1_con0.05.json b/benchmark/synthetic/Pipeline/mogaal_subseg/mogaal_pipeline_k1_con0.05.json
deleted file mode 100644
index 64c739d..0000000
--- a/benchmark/synthetic/Pipeline/mogaal_subseg/mogaal_pipeline_k1_con0.05.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/mogaal_subseg/mogaal_pipeline_k1_con0.1.json b/benchmark/synthetic/Pipeline/mogaal_subseg/mogaal_pipeline_k1_con0.1.json
deleted file mode 100644
index 9621d5e..0000000
--- a/benchmark/synthetic/Pipeline/mogaal_subseg/mogaal_pipeline_k1_con0.1.json
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/benchmark/synthetic/Pipeline/mogaal_subseg/mogaal_pipeline_k1_con0.15.json b/benchmark/synthetic/Pipeline/mogaal_subseg/mogaal_pipeline_k1_con0.15.json
deleted file mode 100644
index ea7828f..0000000
--- a/benchmark/synthetic/Pipeline/mogaal_subseg/mogaal_pipeline_k1_con0.15.json
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/benchmark/synthetic/Pipeline/mogaal_subseg/mogaal_pipeline_k1_con0.2.json b/benchmark/synthetic/Pipeline/mogaal_subseg/mogaal_pipeline_k1_con0.2.json
deleted file mode 100644
index 537cb8e..0000000
--- a/benchmark/synthetic/Pipeline/mogaal_subseg/mogaal_pipeline_k1_con0.2.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/mogaal_subseg/mogaal_pipeline_k1_con0.25.json b/benchmark/synthetic/Pipeline/mogaal_subseg/mogaal_pipeline_k1_con0.25.json
deleted file mode 100644
index 2e703a0..0000000
--- a/benchmark/synthetic/Pipeline/mogaal_subseg/mogaal_pipeline_k1_con0.25.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/mogaal_subseg/mogaal_pipeline_k2_con0.1.json b/benchmark/synthetic/Pipeline/mogaal_subseg/mogaal_pipeline_k2_con0.1.json
deleted file mode 100644
index 62fc9cf..0000000
--- a/benchmark/synthetic/Pipeline/mogaal_subseg/mogaal_pipeline_k2_con0.1.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/mogaal_subseg/mogaal_pipeline_k3_con0.15.json b/benchmark/synthetic/Pipeline/mogaal_subseg/mogaal_pipeline_k3_con0.15.json
deleted file mode 100644
index 5970efe..0000000
--- a/benchmark/synthetic/Pipeline/mogaal_subseg/mogaal_pipeline_k3_con0.15.json
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/benchmark/synthetic/Pipeline/mogaal_subseg/mogaal_pipeline_k4_con0.2.json b/benchmark/synthetic/Pipeline/mogaal_subseg/mogaal_pipeline_k4_con0.2.json
deleted file mode 100644
index 64239a6..0000000
--- a/benchmark/synthetic/Pipeline/mogaal_subseg/mogaal_pipeline_k4_con0.2.json
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/benchmark/synthetic/Pipeline/mogaal_subseg/mogaal_pipeline_k5_con0.25.json b/benchmark/synthetic/Pipeline/mogaal_subseg/mogaal_pipeline_k5_con0.25.json
deleted file mode 100644
index 6fc5d5e..0000000
--- a/benchmark/synthetic/Pipeline/mogaal_subseg/mogaal_pipeline_k5_con0.25.json
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/benchmark/synthetic/Pipeline/mp_pipeline_default/mp_pipeline_con0.05.json b/benchmark/synthetic/Pipeline/mp_pipeline_default/mp_pipeline_con0.05.json
deleted file mode 100644
index 7c5f26d..0000000
--- a/benchmark/synthetic/Pipeline/mp_pipeline_default/mp_pipeline_con0.05.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/mp_pipeline_default/mp_pipeline_con0.1.json b/benchmark/synthetic/Pipeline/mp_pipeline_default/mp_pipeline_con0.1.json
deleted file mode 100644
index 22e80a3..0000000
--- a/benchmark/synthetic/Pipeline/mp_pipeline_default/mp_pipeline_con0.1.json
+++ /dev/null
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\ No newline at end of file
diff --git a/benchmark/synthetic/Pipeline/mp_pipeline_default/mp_pipeline_con0.15.json b/benchmark/synthetic/Pipeline/mp_pipeline_default/mp_pipeline_con0.15.json
deleted file mode 100644
index 319e8eb..0000000
--- a/benchmark/synthetic/Pipeline/mp_pipeline_default/mp_pipeline_con0.15.json
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/benchmark/synthetic/Pipeline/mp_pipeline_default/mp_pipeline_con0.2.json b/benchmark/synthetic/Pipeline/mp_pipeline_default/mp_pipeline_con0.2.json
deleted file mode 100644
index 9649955..0000000
--- a/benchmark/synthetic/Pipeline/mp_pipeline_default/mp_pipeline_con0.2.json
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/benchmark/synthetic/Pipeline/mp_pipeline_default/mp_pipeline_con0.25.json b/benchmark/synthetic/Pipeline/mp_pipeline_default/mp_pipeline_con0.25.json
deleted file mode 100644
index a25d64d..0000000
--- a/benchmark/synthetic/Pipeline/mp_pipeline_default/mp_pipeline_con0.25.json
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/benchmark/synthetic/Pipeline/mp_pipeline_win10/mp_pipeline_win10_con0.05.json b/benchmark/synthetic/Pipeline/mp_pipeline_win10/mp_pipeline_win10_con0.05.json
deleted file mode 100644
index 903506c..0000000
--- a/benchmark/synthetic/Pipeline/mp_pipeline_win10/mp_pipeline_win10_con0.05.json
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diff --git a/benchmark/synthetic/Pipeline/mp_pipeline_win10/mp_pipeline_win10_con0.1.json b/benchmark/synthetic/Pipeline/mp_pipeline_win10/mp_pipeline_win10_con0.1.json
deleted file mode 100644
index 6168372..0000000
--- a/benchmark/synthetic/Pipeline/mp_pipeline_win10/mp_pipeline_win10_con0.1.json
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diff --git a/benchmark/synthetic/Pipeline/mp_pipeline_win10/mp_pipeline_win10_con0.15.json b/benchmark/synthetic/Pipeline/mp_pipeline_win10/mp_pipeline_win10_con0.15.json
deleted file mode 100644
index fdb7709..0000000
--- a/benchmark/synthetic/Pipeline/mp_pipeline_win10/mp_pipeline_win10_con0.15.json
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diff --git a/benchmark/synthetic/Pipeline/mp_pipeline_win10/mp_pipeline_win10_con0.2.json b/benchmark/synthetic/Pipeline/mp_pipeline_win10/mp_pipeline_win10_con0.2.json
deleted file mode 100644
index 1e198f4..0000000
--- a/benchmark/synthetic/Pipeline/mp_pipeline_win10/mp_pipeline_win10_con0.2.json
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diff --git a/benchmark/synthetic/Pipeline/mp_pipeline_win10/mp_pipeline_win10_con0.25.json b/benchmark/synthetic/Pipeline/mp_pipeline_win10/mp_pipeline_win10_con0.25.json
deleted file mode 100644
index 77bf43c..0000000
--- a/benchmark/synthetic/Pipeline/mp_pipeline_win10/mp_pipeline_win10_con0.25.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/ocsvm_pipeline_default/ocsvm_pipeline_con0.05.json b/benchmark/synthetic/Pipeline/ocsvm_pipeline_default/ocsvm_pipeline_con0.05.json
deleted file mode 100644
index f13140f..0000000
--- a/benchmark/synthetic/Pipeline/ocsvm_pipeline_default/ocsvm_pipeline_con0.05.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/ocsvm_pipeline_default/ocsvm_pipeline_con0.1.json b/benchmark/synthetic/Pipeline/ocsvm_pipeline_default/ocsvm_pipeline_con0.1.json
deleted file mode 100644
index ff769af..0000000
--- a/benchmark/synthetic/Pipeline/ocsvm_pipeline_default/ocsvm_pipeline_con0.1.json
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diff --git a/benchmark/synthetic/Pipeline/ocsvm_pipeline_default/ocsvm_pipeline_con0.15.json b/benchmark/synthetic/Pipeline/ocsvm_pipeline_default/ocsvm_pipeline_con0.15.json
deleted file mode 100644
index fc92ec1..0000000
--- a/benchmark/synthetic/Pipeline/ocsvm_pipeline_default/ocsvm_pipeline_con0.15.json
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diff --git a/benchmark/synthetic/Pipeline/ocsvm_pipeline_default/ocsvm_pipeline_con0.2.json b/benchmark/synthetic/Pipeline/ocsvm_pipeline_default/ocsvm_pipeline_con0.2.json
deleted file mode 100644
index 49d697d..0000000
--- a/benchmark/synthetic/Pipeline/ocsvm_pipeline_default/ocsvm_pipeline_con0.2.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/ocsvm_pipeline_default/ocsvm_pipeline_con0.25.json b/benchmark/synthetic/Pipeline/ocsvm_pipeline_default/ocsvm_pipeline_con0.25.json
deleted file mode 100644
index 5410cc3..0000000
--- a/benchmark/synthetic/Pipeline/ocsvm_pipeline_default/ocsvm_pipeline_con0.25.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/ocsvm_subseg/ocsvm_pipelineocsvm_subseg_con0.15.json b/benchmark/synthetic/Pipeline/ocsvm_subseg/ocsvm_pipelineocsvm_subseg_con0.15.json
deleted file mode 100644
index 71900c5..0000000
--- a/benchmark/synthetic/Pipeline/ocsvm_subseg/ocsvm_pipelineocsvm_subseg_con0.15.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/ocsvm_subseg/ocsvm_subseg_con0.05.json b/benchmark/synthetic/Pipeline/ocsvm_subseg/ocsvm_subseg_con0.05.json
deleted file mode 100644
index 641dfe4..0000000
--- a/benchmark/synthetic/Pipeline/ocsvm_subseg/ocsvm_subseg_con0.05.json
+++ /dev/null
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diff --git a/benchmark/synthetic/Pipeline/ocsvm_subseg/ocsvm_subseg_con0.1.json b/benchmark/synthetic/Pipeline/ocsvm_subseg/ocsvm_subseg_con0.1.json
deleted file mode 100644
index f3e239b..0000000
--- a/benchmark/synthetic/Pipeline/ocsvm_subseg/ocsvm_subseg_con0.1.json
+++ /dev/null
@@ -1 +0,0 @@
-{"id": "6e5de86e-4434-434f-ab2a-c6e12f44c0d9", "schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json", "created": "2021-05-26T18:11:37.729416Z", "inputs": [{"name": "inputs"}], "outputs": [{"data": "steps.6.produce", "name": "output predictions"}], "steps": [{"type": "PRIMITIVE", "primitive": {"id": "c78138d9-9377-31dc-aee8-83d9df049c60", "version": "0.3.0", "python_path": "d3m.primitives.tods.data_processing.dataset_to_dataframe", "name": "Extract a DataFrame from a Dataset"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "inputs.0"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "81235c29-aeb9-3828-911a-1b25319b6998", "version": "0.6.0", "python_path": "d3m.primitives.tods.data_processing.column_parser", "name": "Parses strings into their types"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "a996cd89-ddf0-367f-8e7f-8c013cbc2891", "version": "0.4.0", "python_path": "d3m.primitives.tods.data_processing.extract_columns_by_semantic_types", "name": "Extracts columns by semantic type"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.1.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"semantic_types": {"type": "VALUE", "data": ["https://metadata.datadrivendiscovery.org/types/Attribute"]}}}, {"type": "PRIMITIVE", "primitive": {"id": "a996cd89-ddf0-367f-8e7f-8c013cbc2891", "version": "0.4.0", "python_path": "d3m.primitives.tods.data_processing.extract_columns_by_semantic_types", "name": "Extracts columns by semantic type"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"semantic_types": {"type": "VALUE", "data": ["https://metadata.datadrivendiscovery.org/types/TrueTarget"]}}}, {"type": "PRIMITIVE", "primitive": {"id": "7e875a62-b99c-340a-bbc8-ac63789fb2b4", "version": "0.0.1", "python_path": "d3m.primitives.tods.timeseries_processing.subsequence_segmentation", "name": "Subsequence Segmentation Primitive"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.2.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"window_size": {"type": "VALUE", "data": 10}, "step": {"type": "VALUE", "data": 1}}}, {"type": "PRIMITIVE", "primitive": {"id": "b454adf7-5820-3e6f-8383-619f13fb1cb6", "version": "0.0.1", "python_path": "d3m.primitives.tods.detection_algorithm.pyod_ocsvm", "name": "TODS.anomaly_detection_primitives.OCSVMPrimitive"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.4.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"contamination": {"type": "VALUE", "data": 0.1}}}, {"type": "PRIMITIVE", "primitive": {"id": "2530840a-07d4-3874-b7d8-9eb5e4ae2bf3", "version": "0.3.0", "python_path": "d3m.primitives.tods.data_processing.construct_predictions", "name": "Construct pipeline predictions output"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.5.produce"}, "reference": {"type": "CONTAINER", "data": "steps.1.produce"}}, "outputs": [{"id": "produce"}]}], "digest": "38348eba506e3648e392b4dc01c2e6ee9a6cf745bdddc4de2116fe8c776e27db"}
\ No newline at end of file
diff --git a/benchmark/synthetic/Pipeline/ocsvm_subseg/ocsvm_subseg_con0.2.json b/benchmark/synthetic/Pipeline/ocsvm_subseg/ocsvm_subseg_con0.2.json
deleted file mode 100644
index d68f3fc..0000000
--- a/benchmark/synthetic/Pipeline/ocsvm_subseg/ocsvm_subseg_con0.2.json
+++ /dev/null
@@ -1 +0,0 @@
-{"id": "8e92219c-1b24-47d4-9ad1-9c21f29c9207", "schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json", "created": "2021-05-26T18:20:54.886895Z", "inputs": [{"name": "inputs"}], "outputs": [{"data": "steps.6.produce", "name": "output predictions"}], "steps": [{"type": "PRIMITIVE", "primitive": {"id": "c78138d9-9377-31dc-aee8-83d9df049c60", "version": "0.3.0", "python_path": "d3m.primitives.tods.data_processing.dataset_to_dataframe", "name": "Extract a DataFrame from a Dataset"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "inputs.0"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "81235c29-aeb9-3828-911a-1b25319b6998", "version": "0.6.0", "python_path": "d3m.primitives.tods.data_processing.column_parser", "name": "Parses strings into their types"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "a996cd89-ddf0-367f-8e7f-8c013cbc2891", "version": "0.4.0", "python_path": "d3m.primitives.tods.data_processing.extract_columns_by_semantic_types", "name": "Extracts columns by semantic type"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.1.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"semantic_types": {"type": "VALUE", "data": ["https://metadata.datadrivendiscovery.org/types/Attribute"]}}}, {"type": "PRIMITIVE", "primitive": {"id": "a996cd89-ddf0-367f-8e7f-8c013cbc2891", "version": "0.4.0", "python_path": "d3m.primitives.tods.data_processing.extract_columns_by_semantic_types", "name": "Extracts columns by semantic type"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"semantic_types": {"type": "VALUE", "data": ["https://metadata.datadrivendiscovery.org/types/TrueTarget"]}}}, {"type": "PRIMITIVE", "primitive": {"id": "7e875a62-b99c-340a-bbc8-ac63789fb2b4", "version": "0.0.1", "python_path": "d3m.primitives.tods.timeseries_processing.subsequence_segmentation", "name": "Subsequence Segmentation Primitive"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.2.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"window_size": {"type": "VALUE", "data": 10}, "step": {"type": "VALUE", "data": 1}}}, {"type": "PRIMITIVE", "primitive": {"id": "b454adf7-5820-3e6f-8383-619f13fb1cb6", "version": "0.0.1", "python_path": "d3m.primitives.tods.detection_algorithm.pyod_ocsvm", "name": "TODS.anomaly_detection_primitives.OCSVMPrimitive"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.4.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"contamination": {"type": "VALUE", "data": 0.2}}}, {"type": "PRIMITIVE", "primitive": {"id": "2530840a-07d4-3874-b7d8-9eb5e4ae2bf3", "version": "0.3.0", "python_path": "d3m.primitives.tods.data_processing.construct_predictions", "name": "Construct pipeline predictions output"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.5.produce"}, "reference": {"type": "CONTAINER", "data": "steps.1.produce"}}, "outputs": [{"id": "produce"}]}], "digest": "83a7c3911714ee977d2fa686295e283eb5294f765dbcda33fb2c4e63e0dfffda"}
\ No newline at end of file
diff --git a/benchmark/synthetic/Pipeline/ocsvm_subseg/ocsvm_subseg_con0.25.json b/benchmark/synthetic/Pipeline/ocsvm_subseg/ocsvm_subseg_con0.25.json
deleted file mode 100644
index 4fefb51..0000000
--- a/benchmark/synthetic/Pipeline/ocsvm_subseg/ocsvm_subseg_con0.25.json
+++ /dev/null
@@ -1 +0,0 @@
-{"id": "60828f99-cdb8-4442-83d1-accb29bb60a3", "schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json", "created": "2021-05-26T18:24:15.319543Z", "inputs": [{"name": "inputs"}], "outputs": [{"data": "steps.6.produce", "name": "output predictions"}], "steps": [{"type": "PRIMITIVE", "primitive": {"id": "c78138d9-9377-31dc-aee8-83d9df049c60", "version": "0.3.0", "python_path": "d3m.primitives.tods.data_processing.dataset_to_dataframe", "name": "Extract a DataFrame from a Dataset"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "inputs.0"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "81235c29-aeb9-3828-911a-1b25319b6998", "version": "0.6.0", "python_path": "d3m.primitives.tods.data_processing.column_parser", "name": "Parses strings into their types"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "a996cd89-ddf0-367f-8e7f-8c013cbc2891", "version": "0.4.0", "python_path": "d3m.primitives.tods.data_processing.extract_columns_by_semantic_types", "name": "Extracts columns by semantic type"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.1.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"semantic_types": {"type": "VALUE", "data": ["https://metadata.datadrivendiscovery.org/types/Attribute"]}}}, {"type": "PRIMITIVE", "primitive": {"id": "a996cd89-ddf0-367f-8e7f-8c013cbc2891", "version": "0.4.0", "python_path": "d3m.primitives.tods.data_processing.extract_columns_by_semantic_types", "name": "Extracts columns by semantic type"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"semantic_types": {"type": "VALUE", "data": ["https://metadata.datadrivendiscovery.org/types/TrueTarget"]}}}, {"type": "PRIMITIVE", "primitive": {"id": "7e875a62-b99c-340a-bbc8-ac63789fb2b4", "version": "0.0.1", "python_path": "d3m.primitives.tods.timeseries_processing.subsequence_segmentation", "name": "Subsequence Segmentation Primitive"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.2.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"window_size": {"type": "VALUE", "data": 10}, "step": {"type": "VALUE", "data": 1}}}, {"type": "PRIMITIVE", "primitive": {"id": "b454adf7-5820-3e6f-8383-619f13fb1cb6", "version": "0.0.1", "python_path": "d3m.primitives.tods.detection_algorithm.pyod_ocsvm", "name": "TODS.anomaly_detection_primitives.OCSVMPrimitive"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.4.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"contamination": {"type": "VALUE", "data": 0.25}}}, {"type": "PRIMITIVE", "primitive": {"id": "2530840a-07d4-3874-b7d8-9eb5e4ae2bf3", "version": "0.3.0", "python_path": "d3m.primitives.tods.data_processing.construct_predictions", "name": "Construct pipeline predictions output"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.5.produce"}, "reference": {"type": "CONTAINER", "data": "steps.1.produce"}}, "outputs": [{"id": "produce"}]}], "digest": "bc7f8e1a25104831ecb2a09cb8e188769d3bca541269e9622d7ef1e749ce238d"}
\ No newline at end of file
diff --git a/benchmark/synthetic/README.md b/benchmark/synthetic/README.md
deleted file mode 100644
index a424a24..0000000
--- a/benchmark/synthetic/README.md
+++ /dev/null
@@ -1,52 +0,0 @@
-# Revisiting Time Series Outlier Detection:Definitions and Benchmarks
-
-This branch is the source code of  experiment part of our paper. We provide everything needed when running the experiments: Dataset, Dataset Generator, Pipeline json, Python script, runner and the result we get from the experiments.
-
-## Resources
-* Paper: Under review
-
-## Cite this Work:
-If you find this  work useful, you may cite this work:
-```
-@misc{lai2020tods,
-    title={TODS: An Automated Time Series Outlier Detection System},
-    author={Kwei-Harng Lai and Daochen Zha and Guanchu Wang and Junjie Xu and Yue Zhao and Devesh Kumar and Yile Chen and Purav Zumkhawaka and Minyang Wan and Diego Martinez and Xia Hu},
-    year={2020},
-    eprint={2009.09822},
-    archivePrefix={arXiv},
-    primaryClass={cs.DB}
-}
-```
-
-## Datasets
-
-This All of the datasets were generated from the generators. Tuning parameters in the generators can get your own datasets.
-The datasets used in the paper is provided in "unidataset" and "multidataset"
-
-## Pipeline
-
-This Pipeline json files are organized by different settings of algorithms. There are 5 outlier ratios in each setting.
-
-## Runner
-
-To run a pipeline, you can generate your own pipeline json file from script. Take AutoEncoder as an example:
-
-```python
-python script/simple_algo/build_AutoEncoder_pipeline.py 
-```
-Then run the json using run\_pipeline in /runner
-```python
-python runner/run_pipeline.py --pipeline_path ae_pipeline_default_con0.05.json 
-```
-
-
-
-Or you can also use the pipelines we provided in /Pipeline:
-
-```python
-python runner/run_pipeline.py --pipeline_path Pipeline/AutoEncoder/ae_pipeline_default/ae_pipeline_default_con0.05.json
-```
-
-
-
-*Please refer master branch of TODS for details of running pipelines.
diff --git a/benchmark/synthetic/multidataset/0.csv b/benchmark/synthetic/multidataset/0.csv
deleted file mode 100644
index 16877c8..0000000
--- a/benchmark/synthetic/multidataset/0.csv
+++ /dev/null
@@ -1,401 +0,0 @@
-col_0,col_1,col_2,col_3,col_4,anomaly
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diff --git a/benchmark/synthetic/multidataset/01.csv b/benchmark/synthetic/multidataset/01.csv
deleted file mode 100644
index bdbb5f2..0000000
--- a/benchmark/synthetic/multidataset/01.csv
+++ /dev/null
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diff --git a/benchmark/synthetic/multidataset/012.csv b/benchmark/synthetic/multidataset/012.csv
deleted file mode 100644
index e2837e1..0000000
--- a/benchmark/synthetic/multidataset/012.csv
+++ /dev/null
@@ -1,401 +0,0 @@
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diff --git a/benchmark/synthetic/multidataset/0123.csv b/benchmark/synthetic/multidataset/0123.csv
deleted file mode 100644
index 7c06187..0000000
--- a/benchmark/synthetic/multidataset/0123.csv
+++ /dev/null
@@ -1,401 +0,0 @@
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diff --git a/benchmark/synthetic/multidataset/01234.csv b/benchmark/synthetic/multidataset/01234.csv
deleted file mode 100644
index 0f4dafe..0000000
--- a/benchmark/synthetic/multidataset/01234.csv
+++ /dev/null
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diff --git a/benchmark/synthetic/multidataset/1.csv b/benchmark/synthetic/multidataset/1.csv
deleted file mode 100644
index e1dc68a..0000000
--- a/benchmark/synthetic/multidataset/1.csv
+++ /dev/null
@@ -1,401 +0,0 @@
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diff --git a/benchmark/synthetic/multidataset/12.csv b/benchmark/synthetic/multidataset/12.csv
deleted file mode 100644
index 9b1bcc3..0000000
--- a/benchmark/synthetic/multidataset/12.csv
+++ /dev/null
@@ -1,401 +0,0 @@
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diff --git a/benchmark/synthetic/multidataset/123.csv b/benchmark/synthetic/multidataset/123.csv
deleted file mode 100644
index 288e43f..0000000
--- a/benchmark/synthetic/multidataset/123.csv
+++ /dev/null
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diff --git a/benchmark/synthetic/multidataset/1234.csv b/benchmark/synthetic/multidataset/1234.csv
deleted file mode 100644
index 5825e27..0000000
--- a/benchmark/synthetic/multidataset/1234.csv
+++ /dev/null
@@ -1,401 +0,0 @@
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diff --git a/benchmark/synthetic/multidataset/2.csv b/benchmark/synthetic/multidataset/2.csv
deleted file mode 100644
index fd460d6..0000000
--- a/benchmark/synthetic/multidataset/2.csv
+++ /dev/null
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diff --git a/benchmark/synthetic/multidataset/23.csv b/benchmark/synthetic/multidataset/23.csv
deleted file mode 100644
index 2fb5da0..0000000
--- a/benchmark/synthetic/multidataset/23.csv
+++ /dev/null
@@ -1,401 +0,0 @@
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diff --git a/benchmark/synthetic/multidataset/234.csv b/benchmark/synthetic/multidataset/234.csv
deleted file mode 100644
index 2567b52..0000000
--- a/benchmark/synthetic/multidataset/234.csv
+++ /dev/null
@@ -1,401 +0,0 @@
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diff --git a/benchmark/synthetic/multidataset/3.csv b/benchmark/synthetic/multidataset/3.csv
deleted file mode 100644
index a0576a2..0000000
--- a/benchmark/synthetic/multidataset/3.csv
+++ /dev/null
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diff --git a/benchmark/synthetic/multidataset/34.csv b/benchmark/synthetic/multidataset/34.csv
deleted file mode 100644
index d4ce9f7..0000000
--- a/benchmark/synthetic/multidataset/34.csv
+++ /dev/null
@@ -1,401 +0,0 @@
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diff --git a/benchmark/synthetic/multidataset/4.csv b/benchmark/synthetic/multidataset/4.csv
deleted file mode 100644
index bb5306a..0000000
--- a/benchmark/synthetic/multidataset/4.csv
+++ /dev/null
@@ -1,401 +0,0 @@
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diff --git a/benchmark/synthetic/runner/run_pipeline.py b/benchmark/synthetic/runner/run_pipeline.py
deleted file mode 100644
index 8938252..0000000
--- a/benchmark/synthetic/runner/run_pipeline.py
+++ /dev/null
@@ -1,41 +0,0 @@
-import sys
-import argparse
-import os
-import pandas as pd
-
-from tods import generate_dataset, load_pipeline, evaluate_pipeline
-
-this_path = os.path.dirname(os.path.abspath(__file__))
-# default_data_path = os.path.join(this_path, '../../datasets/anomaly/raw_data/yahoo_sub_5.csv')
-default_data_path = os.path.join(this_path, '../unidataset/point_contextual_0.05.csv')
-
-parser = argparse.ArgumentParser(description='Arguments for running predefined pipelin.')
-parser.add_argument('--table_path', type=str, default=default_data_path,
-                    help='Input the path of the input data table')
-parser.add_argument('--target_index', type=int, default=1,
-                    help='Index of the ground truth (for evaluation)')
-parser.add_argument('--metric',type=str, default='ALL',
-                    help='Evaluation Metric (F1, F1_MACRO)')
-parser.add_argument('--pipeline_path', 
-                    default=os.path.join(this_path, 'mp_pipeline.json'),
-                    help='Input the path of the pre-built pipeline description')
-
-args = parser.parse_args()
-
-table_path = args.table_path 
-target_index = args.target_index # what column is the target
-pipeline_path = args.pipeline_path
-metric = args.metric # F1 on both label 0 and 1
-
-# Read data and generate dataset
-df = pd.read_csv(table_path)
-dataset = generate_dataset(df, target_index)
-
-# Load the default pipeline
-pipeline = load_pipeline(pipeline_path)
-
-# Run the pipeline
-pipeline_result = evaluate_pipeline(dataset, pipeline, metric)
-print(pipeline_result)
-print(pipeline_result.scores)
-
diff --git a/benchmark/synthetic/runner/run_pipeline_multi1.py b/benchmark/synthetic/runner/run_pipeline_multi1.py
deleted file mode 100644
index 52d0dbb..0000000
--- a/benchmark/synthetic/runner/run_pipeline_multi1.py
+++ /dev/null
@@ -1,81 +0,0 @@
-import sys
-import argparse
-import os
-import pandas as pd
-
-from tods import generate_dataset, load_pipeline, evaluate_pipeline
-
-RATIO = 20
-
-
-this_path = os.path.dirname(os.path.abspath(__file__))
-# default_data_path = os.path.join(this_path, '../datasets/anomaly/raw_data/yahoo_sub_5.csv')
-# default_data_path = os.path.join(this_path, 'dataset/point_contextual_0.05.csv')
-
-parser = argparse.ArgumentParser(description='Arguments for running predefined pipelin.')
-# parser.add_argument('--table_path', type=str, default=os.path.join(this_path, 'dataset/point_contextual_0.05.csv'),
-#                     help='Input the path of the input data table')
-parser.add_argument('--target_index', type=int, default=5,
-                    help='Index of the ground truth (for evaluation)')
-parser.add_argument('--metric',type=str, default='ALL',
-                    help='Evaluation Metric (F1, F1_MACRO)')
-parser.add_argument('--pipeline_path', 
-                    default=os.path.join(this_path, 'mogaal_pipeline_k7_con0.05.json'),
-                    help='Input the path of the pre-built pipeline description')
-
-result_container = []
-args = parser.parse_args()
-
-df = pd.read_csv(os.path.join(this_path, '../multidataset/0.csv'))
-dataset = generate_dataset(df, args.target_index)
-pipeline = load_pipeline(args.pipeline_path)
-
-
-pipeline_result = evaluate_pipeline(dataset, pipeline, args.metric)
-result_container.append(list(pipeline_result.scores['value']))
-# print(pipeline_result)
-# print(pipeline_result.scores)
-# for i in list(pipeline_result.scores['value']):
-#     print(i)
-
-df = pd.read_csv(os.path.join(this_path, '../multidataset/1.csv'))
-dataset = generate_dataset(df, args.target_index)
-pipeline = load_pipeline(args.pipeline_path)
-
-pipeline_result = evaluate_pipeline(dataset, pipeline, args.metric)
-result_container.append(list(pipeline_result.scores['value']))
-
-
-df = pd.read_csv(os.path.join(this_path, '../multidataset/2.csv'))
-dataset = generate_dataset(df, args.target_index)
-pipeline = load_pipeline(args.pipeline_path)
-
-pipeline_result = evaluate_pipeline(dataset, pipeline, args.metric)
-result_container.append(list(pipeline_result.scores['value']))
-
-
-
-
-df = pd.read_csv(os.path.join(this_path, '../multidataset/3.csv'))
-dataset = generate_dataset(df, args.target_index)
-pipeline = load_pipeline(args.pipeline_path)
-
-
-pipeline_result = evaluate_pipeline(dataset, pipeline, args.metric)
-result_container.append(list(pipeline_result.scores['value']))
-
-
-
-
-df = pd.read_csv(os.path.join(this_path, '../multidataset/4.csv'))
-dataset = generate_dataset(df, args.target_index)
-pipeline = load_pipeline(args.pipeline_path)
-
-
-pipeline_result = evaluate_pipeline(dataset, pipeline, args.metric)
-result_container.append(list(pipeline_result.scores['value']))
-
-for i in result_container:
-    for j in i:
-        print(j)
-    # print('\n')
\ No newline at end of file
diff --git a/benchmark/synthetic/runner/run_pipeline_multi2.py b/benchmark/synthetic/runner/run_pipeline_multi2.py
deleted file mode 100644
index dbb2271..0000000
--- a/benchmark/synthetic/runner/run_pipeline_multi2.py
+++ /dev/null
@@ -1,71 +0,0 @@
-import sys
-import argparse
-import os
-import pandas as pd
-
-from tods import generate_dataset, load_pipeline, evaluate_pipeline
-
-RATIO = 20
-
-
-this_path = os.path.dirname(os.path.abspath(__file__))
-# default_data_path = os.path.join(this_path, '../datasets/anomaly/raw_data/yahoo_sub_5.csv')
-# default_data_path = os.path.join(this_path, 'dataset/point_contextual_0.05.csv')
-
-parser = argparse.ArgumentParser(description='Arguments for running predefined pipelin.')
-# parser.add_argument('--table_path', type=str, default=os.path.join(this_path, 'dataset/point_contextual_0.05.csv'),
-#                     help='Input the path of the input data table')
-parser.add_argument('--target_index', type=int, default=5,
-                    help='Index of the ground truth (for evaluation)')
-parser.add_argument('--metric',type=str, default='ALL',
-                    help='Evaluation Metric (F1, F1_MACRO)')
-parser.add_argument('--pipeline_path', 
-                    default=os.path.join(this_path, 'mogaal_pipeline_k7_con0.1.json'),
-                    help='Input the path of the pre-built pipeline description')
-
-result_container = []
-args = parser.parse_args()
-
-df = pd.read_csv(os.path.join(this_path, '../multidataset/01.csv'))
-dataset = generate_dataset(df, args.target_index)
-pipeline = load_pipeline(args.pipeline_path)
-
-
-pipeline_result = evaluate_pipeline(dataset, pipeline, args.metric)
-result_container.append(list(pipeline_result.scores['value']))
-# print(pipeline_result)
-# print(pipeline_result.scores)
-# for i in list(pipeline_result.scores['value']):
-#     print(i)
-
-df = pd.read_csv(os.path.join(this_path, '../multidataset/12.csv'))
-dataset = generate_dataset(df, args.target_index)
-pipeline = load_pipeline(args.pipeline_path)
-
-pipeline_result = evaluate_pipeline(dataset, pipeline, args.metric)
-result_container.append(list(pipeline_result.scores['value']))
-
-
-df = pd.read_csv(os.path.join(this_path, '../multidataset/23.csv'))
-dataset = generate_dataset(df, args.target_index)
-pipeline = load_pipeline(args.pipeline_path)
-
-pipeline_result = evaluate_pipeline(dataset, pipeline, args.metric)
-result_container.append(list(pipeline_result.scores['value']))
-
-
-
-
-df = pd.read_csv(os.path.join(this_path, '../multidataset/34.csv'))
-dataset = generate_dataset(df, args.target_index)
-pipeline = load_pipeline(args.pipeline_path)
-
-
-pipeline_result = evaluate_pipeline(dataset, pipeline, args.metric)
-result_container.append(list(pipeline_result.scores['value']))
-
-
-for i in result_container:
-    for j in i:
-        print(j)
-    # print('\n')
\ No newline at end of file
diff --git a/benchmark/synthetic/runner/run_pipeline_multi3.py b/benchmark/synthetic/runner/run_pipeline_multi3.py
deleted file mode 100644
index 53fbfbf..0000000
--- a/benchmark/synthetic/runner/run_pipeline_multi3.py
+++ /dev/null
@@ -1,61 +0,0 @@
-import sys
-import argparse
-import os
-import pandas as pd
-
-from tods import generate_dataset, load_pipeline, evaluate_pipeline
-
-RATIO = 20
-
-
-this_path = os.path.dirname(os.path.abspath(__file__))
-# default_data_path = os.path.join(this_path, '../datasets/anomaly/raw_data/yahoo_sub_5.csv')
-# default_data_path = os.path.join(this_path, 'dataset/point_contextual_0.05.csv')
-
-parser = argparse.ArgumentParser(description='Arguments for running predefined pipelin.')
-# parser.add_argument('--table_path', type=str, default=os.path.join(this_path, 'dataset/point_contextual_0.05.csv'),
-#                     help='Input the path of the input data table')
-parser.add_argument('--target_index', type=int, default=5,
-                    help='Index of the ground truth (for evaluation)')
-parser.add_argument('--metric',type=str, default='ALL',
-                    help='Evaluation Metric (F1, F1_MACRO)')
-parser.add_argument('--pipeline_path', 
-                    default=os.path.join(this_path, 'mogaal_pipeline_k7_con0.15.json'),
-                    help='Input the path of the pre-built pipeline description')
-
-result_container = []
-args = parser.parse_args()
-
-df = pd.read_csv(os.path.join(this_path, '../multidataset/012.csv'))
-dataset = generate_dataset(df, args.target_index)
-pipeline = load_pipeline(args.pipeline_path)
-
-
-pipeline_result = evaluate_pipeline(dataset, pipeline, args.metric)
-result_container.append(list(pipeline_result.scores['value']))
-# print(pipeline_result)
-# print(pipeline_result.scores)
-# for i in list(pipeline_result.scores['value']):
-#     print(i)
-
-df = pd.read_csv(os.path.join(this_path, '../multidataset/123.csv'))
-dataset = generate_dataset(df, args.target_index)
-pipeline = load_pipeline(args.pipeline_path)
-
-pipeline_result = evaluate_pipeline(dataset, pipeline, args.metric)
-result_container.append(list(pipeline_result.scores['value']))
-
-
-df = pd.read_csv(os.path.join(this_path, '../multidataset/234.csv'))
-dataset = generate_dataset(df, args.target_index)
-pipeline = load_pipeline(args.pipeline_path)
-
-pipeline_result = evaluate_pipeline(dataset, pipeline, args.metric)
-result_container.append(list(pipeline_result.scores['value']))
-
-
-
-for i in result_container:
-    for j in i:
-        print(j)
-    # print('\n')
\ No newline at end of file
diff --git a/benchmark/synthetic/runner/run_pipeline_multi4.py b/benchmark/synthetic/runner/run_pipeline_multi4.py
deleted file mode 100644
index bdb77ab..0000000
--- a/benchmark/synthetic/runner/run_pipeline_multi4.py
+++ /dev/null
@@ -1,53 +0,0 @@
-import sys
-import argparse
-import os
-import pandas as pd
-
-from tods import generate_dataset, load_pipeline, evaluate_pipeline
-
-RATIO = 20
-
-
-this_path = os.path.dirname(os.path.abspath(__file__))
-# default_data_path = os.path.join(this_path, '../datasets/anomaly/raw_data/yahoo_sub_5.csv')
-# default_data_path = os.path.join(this_path, 'dataset/point_contextual_0.05.csv')
-
-parser = argparse.ArgumentParser(description='Arguments for running predefined pipelin.')
-# parser.add_argument('--table_path', type=str, default=os.path.join(this_path, 'dataset/point_contextual_0.05.csv'),
-#                     help='Input the path of the input data table')
-parser.add_argument('--target_index', type=int, default=5,
-                    help='Index of the ground truth (for evaluation)')
-parser.add_argument('--metric',type=str, default='ALL',
-                    help='Evaluation Metric (F1, F1_MACRO)')
-parser.add_argument('--pipeline_path', 
-                    default=os.path.join(this_path, 'mogaal_pipeline_k7_con0.2.json'),
-                    help='Input the path of the pre-built pipeline description')
-
-result_container = []
-args = parser.parse_args()
-
-df = pd.read_csv(os.path.join(this_path, '../multidataset/0123.csv'))
-dataset = generate_dataset(df, args.target_index)
-pipeline = load_pipeline(args.pipeline_path)
-
-
-pipeline_result = evaluate_pipeline(dataset, pipeline, args.metric)
-result_container.append(list(pipeline_result.scores['value']))
-# print(pipeline_result)
-# print(pipeline_result.scores)
-# for i in list(pipeline_result.scores['value']):
-#     print(i)
-
-df = pd.read_csv(os.path.join(this_path, '../multidataset/1234.csv'))
-dataset = generate_dataset(df, args.target_index)
-pipeline = load_pipeline(args.pipeline_path)
-
-pipeline_result = evaluate_pipeline(dataset, pipeline, args.metric)
-result_container.append(list(pipeline_result.scores['value']))
-
-
-
-for i in result_container:
-    for j in i:
-        print(j)
-    # print('\n')
\ No newline at end of file
diff --git a/benchmark/synthetic/runner/run_pipeline_multi5.py b/benchmark/synthetic/runner/run_pipeline_multi5.py
deleted file mode 100644
index a97010a..0000000
--- a/benchmark/synthetic/runner/run_pipeline_multi5.py
+++ /dev/null
@@ -1,45 +0,0 @@
-import sys
-import argparse
-import os
-import pandas as pd
-
-from tods import generate_dataset, load_pipeline, evaluate_pipeline
-
-RATIO = 20
-
-
-this_path = os.path.dirname(os.path.abspath(__file__))
-# default_data_path = os.path.join(this_path, '../datasets/anomaly/raw_data/yahoo_sub_5.csv')
-# default_data_path = os.path.join(this_path, 'dataset/point_contextual_0.05.csv')
-
-parser = argparse.ArgumentParser(description='Arguments for running predefined pipelin.')
-# parser.add_argument('--table_path', type=str, default=os.path.join(this_path, 'dataset/point_contextual_0.05.csv'),
-#                     help='Input the path of the input data table')
-parser.add_argument('--target_index', type=int, default=5,
-                    help='Index of the ground truth (for evaluation)')
-parser.add_argument('--metric',type=str, default='ALL',
-                    help='Evaluation Metric (F1, F1_MACRO)')
-parser.add_argument('--pipeline_path', 
-                    default=os.path.join(this_path, 'mogaal_pipeline_k7_con0.25.json'),
-                    help='Input the path of the pre-built pipeline description')
-
-result_container = []
-args = parser.parse_args()
-
-df = pd.read_csv(os.path.join(this_path, '../multidataset/01234.csv'))
-dataset = generate_dataset(df, args.target_index)
-pipeline = load_pipeline(args.pipeline_path)
-
-
-pipeline_result = evaluate_pipeline(dataset, pipeline, args.metric)
-result_container.append(list(pipeline_result.scores['value']))
-# print(pipeline_result)
-# print(pipeline_result.scores)
-# for i in list(pipeline_result.scores['value']):
-#     print(i)
-
-
-for i in result_container:
-    for j in i:
-        print(j)
-    # print('\n')
\ No newline at end of file
diff --git a/benchmark/synthetic/runner/run_pipeline_uni.py b/benchmark/synthetic/runner/run_pipeline_uni.py
deleted file mode 100644
index a016722..0000000
--- a/benchmark/synthetic/runner/run_pipeline_uni.py
+++ /dev/null
@@ -1,86 +0,0 @@
-import sys
-import argparse
-import os
-import pandas as pd
-
-from tods import generate_dataset, load_pipeline, evaluate_pipeline
-
-
-
-this_path = os.path.dirname(os.path.abspath(__file__))
-# default_data_path = os.path.join(this_path, '../datasets/anomaly/raw_data/yahoo_sub_5.csv')
-# default_data_path = os.path.join(this_path, 'dataset/point_contextual_0.05.csv')
-
-parser = argparse.ArgumentParser(description='Arguments for running predefined pipelin.')
-# parser.add_argument('--table_path', type=str, default=os.path.join(this_path, 'dataset/point_contextual_0.05.csv'),
-#                     help='Input the path of the input data table')
-parser.add_argument('--target_index', type=int, default=1,
-                    help='Index of the ground truth (for evaluation)')
-parser.add_argument('--metric',type=str, default='ALL',
-                    help='Evaluation Metric (F1, F1_MACRO)')
-# parser.add_argument('--pipeline_path', 
-#                     default=os.path.join(this_path, 'mp_pipeline.json'),
-#                     help='Input the path of the pre-built pipeline description')
-
-args = parser.parse_args()
-
-pipeline_path_name = '../' + 'ocsvm_subseg_con'
-pipeline_path_list = [0.05, 0.1, 0.1, 0.15, 0.15, 0.2, 0.2, 0.25]
-dataset_list = [0.05, 0.05, 0.1, 0.1, 0.15, 0.15, 0.2, 0.2]
-
-
-result_container = []
-for dat, pip in zip(dataset_list, pipeline_path_list):
-    pipeline_path = os.path.join(this_path, pipeline_path_name + str(pip) + '.json')
-
-    df = pd.read_csv(os.path.join(this_path, '../unidataset/point_global_' + str(dat) + '.csv'))
-    dataset = generate_dataset(df, args.target_index)
-    pipeline = load_pipeline(pipeline_path)
-    pipeline_result = evaluate_pipeline(dataset, pipeline, args.metric)
-    result_container.append(list(pipeline_result.scores['value']))
-
-
-for dat, pip in zip(dataset_list, pipeline_path_list):
-    pipeline_path = os.path.join(this_path, pipeline_path_name + str(pip) + '.json')
-
-    df = pd.read_csv(os.path.join(this_path, '../unidataset/point_contextual_' + str(dat) + '.csv'))
-    dataset = generate_dataset(df, args.target_index)
-    pipeline = load_pipeline(pipeline_path)
-    pipeline_result = evaluate_pipeline(dataset, pipeline, args.metric)
-    result_container.append(list(pipeline_result.scores['value']))
-
-
-for dat, pip in zip(dataset_list, pipeline_path_list):
-    pipeline_path = os.path.join(this_path, pipeline_path_name + str(pip) + '.json')
-
-    df = pd.read_csv(os.path.join(this_path, '../unidataset/collective_global_' + str(dat) + '.csv'))
-    dataset = generate_dataset(df, args.target_index)
-    pipeline = load_pipeline(pipeline_path)
-    pipeline_result = evaluate_pipeline(dataset, pipeline, args.metric)
-    result_container.append(list(pipeline_result.scores['value']))
-
-
-for dat, pip in zip(dataset_list, pipeline_path_list):
-    pipeline_path = os.path.join(this_path, pipeline_path_name + str(pip) + '.json')
-
-    df = pd.read_csv(os.path.join(this_path, '../unidataset/collective_seasonal_' + str(dat) + '.csv'))
-    dataset = generate_dataset(df, args.target_index)
-    pipeline = load_pipeline(pipeline_path)
-    pipeline_result = evaluate_pipeline(dataset, pipeline, args.metric)
-    result_container.append(list(pipeline_result.scores['value']))
-
-
-for dat, pip in zip(dataset_list, pipeline_path_list):
-    pipeline_path = os.path.join(this_path, pipeline_path_name + str(pip) + '.json')
-
-    df = pd.read_csv(os.path.join(this_path, '../unidataset/collective_trend_' + str(dat) + '.csv'))
-    dataset = generate_dataset(df, args.target_index)
-    pipeline = load_pipeline(pipeline_path)
-    pipeline_result = evaluate_pipeline(dataset, pipeline, args.metric)
-    result_container.append(list(pipeline_result.scores['value']))
-
-
-for i in result_container:
-    for j in i:
-        print(j)
-    print('\n')
\ No newline at end of file
diff --git a/benchmark/synthetic/script/simple_algo/build_AutoEncoder_pipeline.py b/benchmark/synthetic/script/simple_algo/build_AutoEncoder_pipeline.py
deleted file mode 100644
index d4faf2f..0000000
--- a/benchmark/synthetic/script/simple_algo/build_AutoEncoder_pipeline.py
+++ /dev/null
@@ -1,67 +0,0 @@
-from d3m import index
-from d3m.metadata.base import ArgumentType
-from d3m.metadata.pipeline import Pipeline, PrimitiveStep
-
-
-# Creating pipeline
-pipeline_description = Pipeline()
-pipeline_description.add_input(name='inputs')
-
-# Step 0: dataset_to_dataframe
-step_0 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.dataset_to_dataframe'))
-step_0.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='inputs.0')
-step_0.add_output('produce')
-pipeline_description.add_step(step_0)
-
-# Step 1: column_parser
-step_1 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.column_parser'))
-step_1.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.0.produce')
-step_1.add_output('produce')
-pipeline_description.add_step(step_1)
-
-# Step 2: extract_columns_by_semantic_types(attributes)
-step_2 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.extract_columns_by_semantic_types'))
-step_2.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.1.produce')
-step_2.add_output('produce')
-step_2.add_hyperparameter(name='semantic_types', argument_type=ArgumentType.VALUE,
-							  data=['https://metadata.datadrivendiscovery.org/types/Attribute'])
-pipeline_description.add_step(step_2)
-
-# Step 3: extract_columns_by_semantic_types(targets)
-step_3 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.extract_columns_by_semantic_types'))
-step_3.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.0.produce')
-step_3.add_output('produce')
-step_3.add_hyperparameter(name='semantic_types', argument_type=ArgumentType.VALUE,
-							data=['https://metadata.datadrivendiscovery.org/types/TrueTarget'])
-pipeline_description.add_step(step_3)
-
-attributes = 'steps.2.produce'
-targets = 'steps.3.produce'
-
-# Step 4: algorithm
-step_4 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.detection_algorithm.pyod_ae'))
-step_4.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.2.produce')
-# step_4.add_hyperparameter(name='hidden_neurons', argument_type=ArgumentType.VALUE, data=[1, 4, 16, 32, 16, 4, 1])
-# step_4.add_hyperparameter(name='epochs', argument_type=ArgumentType.VALUE, data=50)
-
-CONTAMINATION = 0.05
-step_4.add_hyperparameter(name='contamination', argument_type=ArgumentType.VALUE, data=CONTAMINATION)
-step_4.add_output('produce')
-pipeline_description.add_step(step_4)
-
-# Step 5: Predictions
-step_5 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.construct_predictions'))
-step_5.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.4.produce')
-step_5.add_argument(name='reference', argument_type=ArgumentType.CONTAINER, data_reference='steps.1.produce')
-step_5.add_output('produce')
-pipeline_description.add_step(step_5)
-
-# Final Output
-pipeline_description.add_output(name='output predictions', data_reference='steps.5.produce')
-
-# Output to json
-data = pipeline_description.to_json()
-with open('ae_pipeline_default_con' + str(CONTAMINATION) + '.json', 'w') as f:
-    f.write(data)
-    print(data)
-
diff --git a/benchmark/synthetic/script/simple_algo/build_AutoRegression_pipeline.py b/benchmark/synthetic/script/simple_algo/build_AutoRegression_pipeline.py
deleted file mode 100644
index 0b54004..0000000
--- a/benchmark/synthetic/script/simple_algo/build_AutoRegression_pipeline.py
+++ /dev/null
@@ -1,65 +0,0 @@
-from d3m import index
-from d3m.metadata.base import ArgumentType
-from d3m.metadata.pipeline import Pipeline, PrimitiveStep
-
-
-# Creating pipeline
-pipeline_description = Pipeline()
-pipeline_description.add_input(name='inputs')
-
-# Step 0: dataset_to_dataframe
-step_0 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.dataset_to_dataframe'))
-step_0.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='inputs.0')
-step_0.add_output('produce')
-pipeline_description.add_step(step_0)
-
-# Step 1: column_parser
-step_1 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.column_parser'))
-step_1.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.0.produce')
-step_1.add_output('produce')
-pipeline_description.add_step(step_1)
-
-# Step 2: extract_columns_by_semantic_types(attributes)
-step_2 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.extract_columns_by_semantic_types'))
-step_2.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.1.produce')
-step_2.add_output('produce')
-step_2.add_hyperparameter(name='semantic_types', argument_type=ArgumentType.VALUE,
-							  data=['https://metadata.datadrivendiscovery.org/types/Attribute'])
-pipeline_description.add_step(step_2)
-
-# Step 3: extract_columns_by_semantic_types(targets)
-step_3 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.extract_columns_by_semantic_types'))
-step_3.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.0.produce')
-step_3.add_output('produce')
-step_3.add_hyperparameter(name='semantic_types', argument_type=ArgumentType.VALUE,
-							data=['https://metadata.datadrivendiscovery.org/types/TrueTarget'])
-pipeline_description.add_step(step_3)
-
-attributes = 'steps.2.produce'
-targets = 'steps.3.produce'
-
-# Step 4: algorithm
-step_4 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.detection_algorithm.AutoRegODetector'))
-step_4.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.2.produce')
-SIZE = 10
-step_4.add_hyperparameter(name='contamination', argument_type=ArgumentType.VALUE, data=0.25)
-step_4.add_hyperparameter(name='window_size', argument_type=ArgumentType.VALUE, data=SIZE)
-step_4.add_output('produce')
-pipeline_description.add_step(step_4)
-
-# Step 5: Predictions
-step_5 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.construct_predictions'))
-step_5.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.4.produce')
-step_5.add_argument(name='reference', argument_type=ArgumentType.CONTAINER, data_reference='steps.1.produce')
-step_5.add_output('produce')
-pipeline_description.add_step(step_5)
-
-# Final Output
-pipeline_description.add_output(name='output predictions', data_reference='steps.5.produce')
-
-# Output to json
-data = pipeline_description.to_json()
-with open('ar_pipeline_win' + str(SIZE) + '.json', 'w') as f:
-    f.write(data)
-    print(data)
-
diff --git a/benchmark/synthetic/script/simple_algo/build_LSTMOD_pipeline.py b/benchmark/synthetic/script/simple_algo/build_LSTMOD_pipeline.py
deleted file mode 100644
index 65262b7..0000000
--- a/benchmark/synthetic/script/simple_algo/build_LSTMOD_pipeline.py
+++ /dev/null
@@ -1,72 +0,0 @@
-from d3m import index
-from d3m.metadata.base import ArgumentType
-from d3m.metadata.pipeline import Pipeline, PrimitiveStep
-
-
-# Creating pipeline
-pipeline_description = Pipeline()
-pipeline_description.add_input(name='inputs')
-
-# Step 0: dataset_to_dataframe
-step_0 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.dataset_to_dataframe'))
-step_0.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='inputs.0')
-step_0.add_output('produce')
-pipeline_description.add_step(step_0)
-
-# Step 1: column_parser
-step_1 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.column_parser'))
-step_1.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.0.produce')
-step_1.add_output('produce')
-pipeline_description.add_step(step_1)
-
-# Step 2: extract_columns_by_semantic_types(attributes)
-step_2 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.extract_columns_by_semantic_types'))
-step_2.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.1.produce')
-step_2.add_output('produce')
-step_2.add_hyperparameter(name='semantic_types', argument_type=ArgumentType.VALUE,
-							  data=['https://metadata.datadrivendiscovery.org/types/Attribute'])
-pipeline_description.add_step(step_2)
-
-# Step 3: extract_columns_by_semantic_types(targets)
-step_3 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.extract_columns_by_semantic_types'))
-step_3.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.0.produce')
-step_3.add_output('produce')
-step_3.add_hyperparameter(name='semantic_types', argument_type=ArgumentType.VALUE,
-							data=['https://metadata.datadrivendiscovery.org/types/TrueTarget'])
-pipeline_description.add_step(step_3)
-
-attributes = 'steps.2.produce'
-targets = 'steps.3.produce'
-
-# Step 4: algorithm
-step_4 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.detection_algorithm.LSTMODetector'))
-step_4.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.2.produce')
-
-step_4.add_hyperparameter(name='feature_dim', argument_type=ArgumentType.VALUE, data=1)
-step_4.add_hyperparameter(name='n_hidden_layer', argument_type=ArgumentType.VALUE, data=2)
-step_4.add_hyperparameter(name='hidden_dim', argument_type=ArgumentType.VALUE, data=4)
-step_4.add_hyperparameter(name='epochs', argument_type=ArgumentType.VALUE, data=50)
-step_4.add_hyperparameter(name='min_attack_time', argument_type=ArgumentType.VALUE, data=1)
-step_4.add_hyperparameter(name='diff_group_method', argument_type=ArgumentType.VALUE, data='min')
-
-CONTAMINATION = 0.25
-step_4.add_hyperparameter(name='contamination', argument_type=ArgumentType.VALUE, data=CONTAMINATION)
-step_4.add_output('produce')
-pipeline_description.add_step(step_4)
-
-# Step 5: Predictions
-step_5 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.construct_predictions'))
-step_5.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.4.produce')
-step_5.add_argument(name='reference', argument_type=ArgumentType.CONTAINER, data_reference='steps.1.produce')
-step_5.add_output('produce')
-pipeline_description.add_step(step_5)
-
-# Final Output
-pipeline_description.add_output(name='output predictions', data_reference='steps.5.produce')
-
-# Output to json
-data = pipeline_description.to_json()
-with open('lstm_feature1_layer2_dim4_attak1_min_con' + str(CONTAMINATION) + '.json', 'w') as f:
-    f.write(data)
-    print(data)
-
diff --git a/benchmark/synthetic/script/simple_algo/build_OCSVM_pipeline.py b/benchmark/synthetic/script/simple_algo/build_OCSVM_pipeline.py
deleted file mode 100644
index 87d5a2c..0000000
--- a/benchmark/synthetic/script/simple_algo/build_OCSVM_pipeline.py
+++ /dev/null
@@ -1,63 +0,0 @@
-from d3m import index
-from d3m.metadata.base import ArgumentType
-from d3m.metadata.pipeline import Pipeline, PrimitiveStep
-
-
-# Creating pipeline
-pipeline_description = Pipeline()
-pipeline_description.add_input(name='inputs')
-
-# Step 0: dataset_to_dataframe
-step_0 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.dataset_to_dataframe'))
-step_0.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='inputs.0')
-step_0.add_output('produce')
-pipeline_description.add_step(step_0)
-
-# Step 1: column_parser
-step_1 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.column_parser'))
-step_1.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.0.produce')
-step_1.add_output('produce')
-pipeline_description.add_step(step_1)
-
-# Step 2: extract_columns_by_semantic_types(attributes)
-step_2 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.extract_columns_by_semantic_types'))
-step_2.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.1.produce')
-step_2.add_output('produce')
-step_2.add_hyperparameter(name='semantic_types', argument_type=ArgumentType.VALUE,
-							  data=['https://metadata.datadrivendiscovery.org/types/Attribute'])
-pipeline_description.add_step(step_2)
-
-# Step 3: extract_columns_by_semantic_types(targets)
-step_3 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.extract_columns_by_semantic_types'))
-step_3.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.0.produce')
-step_3.add_output('produce')
-step_3.add_hyperparameter(name='semantic_types', argument_type=ArgumentType.VALUE,
-							data=['https://metadata.datadrivendiscovery.org/types/TrueTarget'])
-pipeline_description.add_step(step_3)
-
-attributes = 'steps.2.produce'
-targets = 'steps.3.produce'
-
-# Step 4: algorithm
-step_4 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.detection_algorithm.pyod_ocsvm'))
-step_4.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.2.produce')
-step_4.add_hyperparameter(name='contamination', argument_type=ArgumentType.VALUE, data=0.25)
-step_4.add_output('produce')
-pipeline_description.add_step(step_4)
-
-# Step 5: Predictions
-step_5 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.construct_predictions'))
-step_5.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.4.produce')
-step_5.add_argument(name='reference', argument_type=ArgumentType.CONTAINER, data_reference='steps.1.produce')
-step_5.add_output('produce')
-pipeline_description.add_step(step_5)
-
-# Final Output
-pipeline_description.add_output(name='output predictions', data_reference='steps.5.produce')
-
-# Output to json
-data = pipeline_description.to_json()
-with open('ocsvm_pipeline.json', 'w') as f:
-    f.write(data)
-    print(data)
-
diff --git a/benchmark/synthetic/script/simple_algo/build_iForest_pipeline.py b/benchmark/synthetic/script/simple_algo/build_iForest_pipeline.py
deleted file mode 100644
index 0de281f..0000000
--- a/benchmark/synthetic/script/simple_algo/build_iForest_pipeline.py
+++ /dev/null
@@ -1,63 +0,0 @@
-from d3m import index
-from d3m.metadata.base import ArgumentType
-from d3m.metadata.pipeline import Pipeline, PrimitiveStep
-
-
-# Creating pipeline
-pipeline_description = Pipeline()
-pipeline_description.add_input(name='inputs')
-
-# Step 0: dataset_to_dataframe
-step_0 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.dataset_to_dataframe'))
-step_0.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='inputs.0')
-step_0.add_output('produce')
-pipeline_description.add_step(step_0)
-
-# Step 1: column_parser
-step_1 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.column_parser'))
-step_1.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.0.produce')
-step_1.add_output('produce')
-pipeline_description.add_step(step_1)
-
-# Step 2: extract_columns_by_semantic_types(attributes)
-step_2 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.extract_columns_by_semantic_types'))
-step_2.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.1.produce')
-step_2.add_output('produce')
-step_2.add_hyperparameter(name='semantic_types', argument_type=ArgumentType.VALUE,
-							  data=['https://metadata.datadrivendiscovery.org/types/Attribute'])
-pipeline_description.add_step(step_2)
-
-# Step 3: extract_columns_by_semantic_types(targets)
-step_3 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.extract_columns_by_semantic_types'))
-step_3.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.0.produce')
-step_3.add_output('produce')
-step_3.add_hyperparameter(name='semantic_types', argument_type=ArgumentType.VALUE,
-							data=['https://metadata.datadrivendiscovery.org/types/TrueTarget'])
-pipeline_description.add_step(step_3)
-
-attributes = 'steps.2.produce'
-targets = 'steps.3.produce'
-
-# Step 4: algorithm
-step_4 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.detection_algorithm.pyod_iforest'))
-step_4.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.2.produce')
-step_4.add_hyperparameter(name='contamination', argument_type=ArgumentType.VALUE, data=0.25)
-step_4.add_output('produce')
-pipeline_description.add_step(step_4)
-
-# Step 5: Predictions
-step_5 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.construct_predictions'))
-step_5.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.4.produce')
-step_5.add_argument(name='reference', argument_type=ArgumentType.CONTAINER, data_reference='steps.1.produce')
-step_5.add_output('produce')
-pipeline_description.add_step(step_5)
-
-# Final Output
-pipeline_description.add_output(name='output predictions', data_reference='steps.5.produce')
-
-# Output to json
-data = pipeline_description.to_json()
-with open('iforest_pipeline.json', 'w') as f:
-    f.write(data)
-    print(data)
-
diff --git a/benchmark/synthetic/script/simple_algo/build_matrixprofile_pipeline.py b/benchmark/synthetic/script/simple_algo/build_matrixprofile_pipeline.py
deleted file mode 100644
index 90cd61c..0000000
--- a/benchmark/synthetic/script/simple_algo/build_matrixprofile_pipeline.py
+++ /dev/null
@@ -1,65 +0,0 @@
-from d3m import index
-from d3m.metadata.base import ArgumentType
-from d3m.metadata.pipeline import Pipeline, PrimitiveStep
-
-
-# Creating pipeline
-pipeline_description = Pipeline()
-pipeline_description.add_input(name='inputs')
-
-# Step 0: dataset_to_dataframe
-step_0 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.dataset_to_dataframe'))
-step_0.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='inputs.0')
-step_0.add_output('produce')
-pipeline_description.add_step(step_0)
-
-# Step 1: column_parser
-step_1 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.column_parser'))
-step_1.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.0.produce')
-step_1.add_output('produce')
-pipeline_description.add_step(step_1)
-
-# Step 2: extract_columns_by_semantic_types(attributes)
-step_2 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.extract_columns_by_semantic_types'))
-step_2.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.1.produce')
-step_2.add_output('produce')
-step_2.add_hyperparameter(name='semantic_types', argument_type=ArgumentType.VALUE,
-							  data=['https://metadata.datadrivendiscovery.org/types/Attribute'])
-pipeline_description.add_step(step_2)
-
-# Step 3: extract_columns_by_semantic_types(targets)
-step_3 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.extract_columns_by_semantic_types'))
-step_3.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.0.produce')
-step_3.add_output('produce')
-step_3.add_hyperparameter(name='semantic_types', argument_type=ArgumentType.VALUE,
-							data=['https://metadata.datadrivendiscovery.org/types/TrueTarget'])
-pipeline_description.add_step(step_3)
-
-attributes = 'steps.2.produce'
-targets = 'steps.3.produce'
-
-# Step 4: algorithm
-step_4 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.detection_algorithm.matrix_profile'))
-step_4.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.2.produce')
-step_4.add_hyperparameter(name='window_size', argument_type=ArgumentType.VALUE, data=10)
-CONTAMINATION = 0.25
-step_4.add_hyperparameter(name='contamination', argument_type=ArgumentType.VALUE, data=CONTAMINATION)
-step_4.add_output('produce')
-pipeline_description.add_step(step_4)
-
-# Step 5: Predictions
-step_5 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.construct_predictions'))
-step_5.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.4.produce')
-step_5.add_argument(name='reference', argument_type=ArgumentType.CONTAINER, data_reference='steps.1.produce')
-step_5.add_output('produce')
-pipeline_description.add_step(step_5)
-
-# Final Output
-pipeline_description.add_output(name='output predictions', data_reference='steps.5.produce')
-
-# Output to json
-data = pipeline_description.to_json()
-with open('mp_pipeline_win10_con' + str(CONTAMINATION) + '.json', 'w') as f:
-    f.write(data)
-    print(data)
-
diff --git a/benchmark/synthetic/script/simple_algo/build_mogaal_pipeline.py b/benchmark/synthetic/script/simple_algo/build_mogaal_pipeline.py
deleted file mode 100644
index c714e9e..0000000
--- a/benchmark/synthetic/script/simple_algo/build_mogaal_pipeline.py
+++ /dev/null
@@ -1,67 +0,0 @@
-from d3m import index
-from d3m.metadata.base import ArgumentType
-from d3m.metadata.pipeline import Pipeline, PrimitiveStep
-
-
-# Creating pipeline
-pipeline_description = Pipeline()
-pipeline_description.add_input(name='inputs')
-
-# Step 0: dataset_to_dataframe
-step_0 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.dataset_to_dataframe'))
-step_0.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='inputs.0')
-step_0.add_output('produce')
-pipeline_description.add_step(step_0)
-
-# Step 1: column_parser
-step_1 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.column_parser'))
-step_1.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.0.produce')
-step_1.add_output('produce')
-pipeline_description.add_step(step_1)
-
-# Step 2: extract_columns_by_semantic_types(attributes)
-step_2 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.extract_columns_by_semantic_types'))
-step_2.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.1.produce')
-step_2.add_output('produce')
-step_2.add_hyperparameter(name='semantic_types', argument_type=ArgumentType.VALUE,
-							  data=['https://metadata.datadrivendiscovery.org/types/Attribute'])
-pipeline_description.add_step(step_2)
-
-# Step 3: extract_columns_by_semantic_types(targets)
-step_3 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.extract_columns_by_semantic_types'))
-step_3.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.0.produce')
-step_3.add_output('produce')
-step_3.add_hyperparameter(name='semantic_types', argument_type=ArgumentType.VALUE,
-							data=['https://metadata.datadrivendiscovery.org/types/TrueTarget'])
-pipeline_description.add_step(step_3)
-
-attributes = 'steps.2.produce'
-targets = 'steps.3.produce'
-
-# Step 4: algorithm
-step_4 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.detection_algorithm.pyod_mogaal'))
-step_4.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.2.produce')
-step_4.add_hyperparameter(name='k', argument_type=ArgumentType.VALUE, data=9)
-step_4.add_hyperparameter(name='stop_epochs', argument_type=ArgumentType.VALUE, data=50)
-
-CONTAMINATION = 0.25
-step_4.add_hyperparameter(name='contamination', argument_type=ArgumentType.VALUE, data=CONTAMINATION)
-step_4.add_output('produce')
-pipeline_description.add_step(step_4)
-
-# Step 5: Predictions
-step_5 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.construct_predictions'))
-step_5.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.4.produce')
-step_5.add_argument(name='reference', argument_type=ArgumentType.CONTAINER, data_reference='steps.1.produce')
-step_5.add_output('produce')
-pipeline_description.add_step(step_5)
-
-# Final Output
-pipeline_description.add_output(name='output predictions', data_reference='steps.5.produce')
-
-# Output to json
-data = pipeline_description.to_json()
-with open('mogaal_pipeline_k9_con' + str(CONTAMINATION) + '.json', 'w') as f:
-    f.write(data)
-    print(data)
-
diff --git a/benchmark/synthetic/script/subseg_algo/build_AutoEncoder_pipeline.py b/benchmark/synthetic/script/subseg_algo/build_AutoEncoder_pipeline.py
deleted file mode 100644
index 1096c8e..0000000
--- a/benchmark/synthetic/script/subseg_algo/build_AutoEncoder_pipeline.py
+++ /dev/null
@@ -1,71 +0,0 @@
-from d3m import index
-from d3m.metadata.base import ArgumentType
-from d3m.metadata.pipeline import Pipeline, PrimitiveStep
-
-
-# Creating pipeline
-pipeline_description = Pipeline()
-pipeline_description.add_input(name='inputs')
-
-# Step 0: dataset_to_dataframe
-step_0 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.dataset_to_dataframe'))
-step_0.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='inputs.0')
-step_0.add_output('produce')
-pipeline_description.add_step(step_0)
-
-# Step 1: column_parser
-step_1 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.column_parser'))
-step_1.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.0.produce')
-step_1.add_output('produce')
-pipeline_description.add_step(step_1)
-
-# Step 2: extract_columns_by_semantic_types(attributes)
-step_2 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.extract_columns_by_semantic_types'))
-step_2.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.1.produce')
-step_2.add_output('produce')
-step_2.add_hyperparameter(name='semantic_types', argument_type=ArgumentType.VALUE,
-							  data=['https://metadata.datadrivendiscovery.org/types/Attribute'])
-pipeline_description.add_step(step_2)
-
-# Step 3: extract_columns_by_semantic_types(targets)
-step_3 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.extract_columns_by_semantic_types'))
-step_3.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.0.produce')
-step_3.add_output('produce')
-step_3.add_hyperparameter(name='semantic_types', argument_type=ArgumentType.VALUE,
-							data=['https://metadata.datadrivendiscovery.org/types/TrueTarget'])
-pipeline_description.add_step(step_3)
-
-attributes = 'steps.2.produce'
-targets = 'steps.3.produce'
-
-# Step 4: SubSeg
-step_4 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.timeseries_processing.subsequence_segmentation'))
-step_4.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.2.produce')
-step_4.add_hyperparameter(name='window_size', argument_type=ArgumentType.VALUE, data=10)
-step_4.add_hyperparameter(name='step', argument_type=ArgumentType.VALUE, data=1)
-step_4.add_output('produce')
-pipeline_description.add_step(step_4)
-
-# Step 5: algorithm
-step_5 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.detection_algorithm.pyod_ae'))
-step_5.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.4.produce')
-step_5.add_hyperparameter(name='contamination', argument_type=ArgumentType.VALUE, data=0.25)
-step_5.add_output('produce')
-pipeline_description.add_step(step_5)
-
-# Step 6: Predictions
-step_6 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.construct_predictions'))
-step_6.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.5.produce')
-step_6.add_argument(name='reference', argument_type=ArgumentType.CONTAINER, data_reference='steps.1.produce')
-step_6.add_output('produce')
-pipeline_description.add_step(step_6)
-
-# Final Output
-pipeline_description.add_output(name='output predictions', data_reference='steps.6.produce')
-
-# Output to json
-data = pipeline_description.to_json()
-with open('ae_pipeline.json', 'w') as f:
-    f.write(data)
-    print(data)
-
diff --git a/benchmark/synthetic/script/subseg_algo/build_OCSVM_pipeline.py b/benchmark/synthetic/script/subseg_algo/build_OCSVM_pipeline.py
deleted file mode 100644
index e3edd88..0000000
--- a/benchmark/synthetic/script/subseg_algo/build_OCSVM_pipeline.py
+++ /dev/null
@@ -1,72 +0,0 @@
-from d3m import index
-from d3m.metadata.base import ArgumentType
-from d3m.metadata.pipeline import Pipeline, PrimitiveStep
-
-
-# Creating pipeline
-pipeline_description = Pipeline()
-pipeline_description.add_input(name='inputs')
-
-# Step 0: dataset_to_dataframe
-step_0 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.dataset_to_dataframe'))
-step_0.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='inputs.0')
-step_0.add_output('produce')
-pipeline_description.add_step(step_0)
-
-# Step 1: column_parser
-step_1 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.column_parser'))
-step_1.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.0.produce')
-step_1.add_output('produce')
-pipeline_description.add_step(step_1)
-
-# Step 2: extract_columns_by_semantic_types(attributes)
-step_2 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.extract_columns_by_semantic_types'))
-step_2.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.1.produce')
-step_2.add_output('produce')
-step_2.add_hyperparameter(name='semantic_types', argument_type=ArgumentType.VALUE,
-							  data=['https://metadata.datadrivendiscovery.org/types/Attribute'])
-pipeline_description.add_step(step_2)
-
-# Step 3: extract_columns_by_semantic_types(targets)
-step_3 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.extract_columns_by_semantic_types'))
-step_3.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.0.produce')
-step_3.add_output('produce')
-step_3.add_hyperparameter(name='semantic_types', argument_type=ArgumentType.VALUE,
-							data=['https://metadata.datadrivendiscovery.org/types/TrueTarget'])
-pipeline_description.add_step(step_3)
-
-attributes = 'steps.2.produce'
-targets = 'steps.3.produce'
-
-# Step 4: SubSeg
-step_4 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.timeseries_processing.subsequence_segmentation'))
-step_4.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.2.produce')
-step_4.add_hyperparameter(name='window_size', argument_type=ArgumentType.VALUE, data=10)
-step_4.add_hyperparameter(name='step', argument_type=ArgumentType.VALUE, data=1)
-step_4.add_output('produce')
-pipeline_description.add_step(step_4)
-
-# Step 5: algorithm
-step_5 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.detection_algorithm.pyod_ocsvm'))
-step_5.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.4.produce')
-step_5.add_hyperparameter(name='contamination', argument_type=ArgumentType.VALUE, data=0.25)
-step_5.add_output('produce')
-pipeline_description.add_step(step_5)
-
-# Step 6: Predictions
-step_6 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.construct_predictions'))
-step_6.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.5.produce')
-step_6.add_argument(name='reference', argument_type=ArgumentType.CONTAINER, data_reference='steps.1.produce')
-step_6.add_output('produce')
-pipeline_description.add_step(step_6)
-
-
-# Final Output
-pipeline_description.add_output(name='output predictions', data_reference='steps.6.produce')
-
-# Output to json
-data = pipeline_description.to_json()
-with open('ocsvm_pipeline.json', 'w') as f:
-    f.write(data)
-    print(data)
-
diff --git a/benchmark/synthetic/script/subseg_algo/build_iForest_pipeline.py b/benchmark/synthetic/script/subseg_algo/build_iForest_pipeline.py
deleted file mode 100644
index ad1d8f1..0000000
--- a/benchmark/synthetic/script/subseg_algo/build_iForest_pipeline.py
+++ /dev/null
@@ -1,71 +0,0 @@
-from d3m import index
-from d3m.metadata.base import ArgumentType
-from d3m.metadata.pipeline import Pipeline, PrimitiveStep
-
-
-# Creating pipeline
-pipeline_description = Pipeline()
-pipeline_description.add_input(name='inputs')
-
-# Step 0: dataset_to_dataframe
-step_0 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.dataset_to_dataframe'))
-step_0.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='inputs.0')
-step_0.add_output('produce')
-pipeline_description.add_step(step_0)
-
-# Step 1: column_parser
-step_1 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.column_parser'))
-step_1.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.0.produce')
-step_1.add_output('produce')
-pipeline_description.add_step(step_1)
-
-# Step 2: extract_columns_by_semantic_types(attributes)
-step_2 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.extract_columns_by_semantic_types'))
-step_2.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.1.produce')
-step_2.add_output('produce')
-step_2.add_hyperparameter(name='semantic_types', argument_type=ArgumentType.VALUE,
-							  data=['https://metadata.datadrivendiscovery.org/types/Attribute'])
-pipeline_description.add_step(step_2)
-
-# Step 3: extract_columns_by_semantic_types(targets)
-step_3 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.extract_columns_by_semantic_types'))
-step_3.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.0.produce')
-step_3.add_output('produce')
-step_3.add_hyperparameter(name='semantic_types', argument_type=ArgumentType.VALUE,
-							data=['https://metadata.datadrivendiscovery.org/types/TrueTarget'])
-pipeline_description.add_step(step_3)
-
-attributes = 'steps.2.produce'
-targets = 'steps.3.produce'
-
-# Step 4: SubSeg
-step_4 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.timeseries_processing.subsequence_segmentation'))
-step_4.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.2.produce')
-step_4.add_hyperparameter(name='window_size', argument_type=ArgumentType.VALUE, data=10)
-step_4.add_hyperparameter(name='step', argument_type=ArgumentType.VALUE, data=1)
-step_4.add_output('produce')
-pipeline_description.add_step(step_4)
-
-# Step 5: algorithm
-step_5 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.detection_algorithm.pyod_iforest'))
-step_5.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.4.produce')
-step_5.add_hyperparameter(name='contamination', argument_type=ArgumentType.VALUE, data=0.25)
-step_5.add_output('produce')
-pipeline_description.add_step(step_5)
-
-# Step 6: Predictions
-step_6 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.construct_predictions'))
-step_6.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.5.produce')
-step_6.add_argument(name='reference', argument_type=ArgumentType.CONTAINER, data_reference='steps.1.produce')
-step_6.add_output('produce')
-pipeline_description.add_step(step_6)
-
-# Final Output
-pipeline_description.add_output(name='output predictions', data_reference='steps.6.produce')
-
-# Output to json
-data = pipeline_description.to_json()
-with open('iforest_pipeline.json', 'w') as f:
-    f.write(data)
-    print(data)
-
diff --git a/benchmark/synthetic/script/subseg_algo/build_mogaal_pipeline.py b/benchmark/synthetic/script/subseg_algo/build_mogaal_pipeline.py
deleted file mode 100644
index 418e163..0000000
--- a/benchmark/synthetic/script/subseg_algo/build_mogaal_pipeline.py
+++ /dev/null
@@ -1,74 +0,0 @@
-from d3m import index
-from d3m.metadata.base import ArgumentType
-from d3m.metadata.pipeline import Pipeline, PrimitiveStep
-
-
-# Creating pipeline
-pipeline_description = Pipeline()
-pipeline_description.add_input(name='inputs')
-
-# Step 0: dataset_to_dataframe
-step_0 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.dataset_to_dataframe'))
-step_0.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='inputs.0')
-step_0.add_output('produce')
-pipeline_description.add_step(step_0)
-
-# Step 1: column_parser
-step_1 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.column_parser'))
-step_1.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.0.produce')
-step_1.add_output('produce')
-pipeline_description.add_step(step_1)
-
-# Step 2: extract_columns_by_semantic_types(attributes)
-step_2 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.extract_columns_by_semantic_types'))
-step_2.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.1.produce')
-step_2.add_output('produce')
-step_2.add_hyperparameter(name='semantic_types', argument_type=ArgumentType.VALUE,
-							  data=['https://metadata.datadrivendiscovery.org/types/Attribute'])
-pipeline_description.add_step(step_2)
-
-# Step 3: extract_columns_by_semantic_types(targets)
-step_3 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.extract_columns_by_semantic_types'))
-step_3.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.0.produce')
-step_3.add_output('produce')
-step_3.add_hyperparameter(name='semantic_types', argument_type=ArgumentType.VALUE,
-							data=['https://metadata.datadrivendiscovery.org/types/TrueTarget'])
-pipeline_description.add_step(step_3)
-
-attributes = 'steps.2.produce'
-targets = 'steps.3.produce'
-
-# Step 4: SubSeg
-step_4 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.timeseries_processing.subsequence_segmentation'))
-step_4.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.2.produce')
-step_4.add_hyperparameter(name='window_size', argument_type=ArgumentType.VALUE, data=10)
-step_4.add_hyperparameter(name='step', argument_type=ArgumentType.VALUE, data=1)
-step_4.add_output('produce')
-pipeline_description.add_step(step_4)
-
-# Step 5: algorithm
-step_5 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.detection_algorithm.pyod_mogaal'))
-step_5.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.4.produce')
-step_5.add_hyperparameter(name='k', argument_type=ArgumentType.VALUE, data=5)
-step_5.add_hyperparameter(name='stop_epochs', argument_type=ArgumentType.VALUE, data=20)
-CONTAMINATION = 0.25
-step_5.add_hyperparameter(name='contamination', argument_type=ArgumentType.VALUE, data=CONTAMINATION)
-step_5.add_output('produce')
-pipeline_description.add_step(step_5)
-
-# Step 6: Predictions
-step_6 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.construct_predictions'))
-step_6.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.5.produce')
-step_6.add_argument(name='reference', argument_type=ArgumentType.CONTAINER, data_reference='steps.1.produce')
-step_6.add_output('produce')
-pipeline_description.add_step(step_6)
-
-# Final Output
-pipeline_description.add_output(name='output predictions', data_reference='steps.6.produce')
-
-# Output to json
-data = pipeline_description.to_json()
-with open('mogaal_pipeline_k5_con' + str(CONTAMINATION) + '.json', 'w') as f:
-    f.write(data)
-    print(data)
-
diff --git a/benchmark/synthetic/unidataset/collective_global_0.05.csv b/benchmark/synthetic/unidataset/collective_global_0.05.csv
deleted file mode 100644
index 680d837..0000000
--- a/benchmark/synthetic/unidataset/collective_global_0.05.csv
+++ /dev/null
@@ -1,201 +0,0 @@
-value,anomaly
-0.09986898780971384,0
-0.42668075382716264,0
-0.6067254892442279,0
-1.026191870148394,0
-1.3130920862948086,0
-1.372578357388813,0
-1.5169534615693163,0
-1.4815720155216556,0
-1.3575624360190817,0
-1.1426748483692133,0
-0.9141548426852297,0
-0.6424146320629325,0
-0.1156199250576989,0
--0.11087929449775366,0
--0.535039569267668,0
--0.848292557476434,0
--1.2410150300510123,0
--1.347105312815382,0
--1.3620906009552893,0
--1.5780254590763032,0
--1.5749143954920735,0
--1.3972448104454407,0
--1.006865396592991,0
--0.5437579613492407,0
--0.288757986741575,0
-0.12544666599808804,0
-0.38047102193492566,0
-0.8274802394345917,0
-1.0064770597956003,0
-1.3124822021174958,0
-1.406535985292213,0
-1.4558419165844965,0
-1.4833839982750292,0
-1.3215299275794785,0
-1.2539053452284437,0
-0.8963038743811921,0
-0.582202578145943,0
-0.16267742506504101,0
--0.09376443056482076,0
--0.607084541677109,0
--0.8321605120967357,0
--1.1820852560216741,0
--1.427698080681221,0
--1.5101311673593822,0
--1.5573844283126537,0
--1.4425370973460183,0
--1.2919274067077804,0
--1.003407913669541,0
--0.680244060928325,0
--0.3840913500768073,0
--0.001942900261212033,0
-0.39471689603257704,0
-0.6821395808026206,0
-1.0799326603875288,0
-1.3296587436317224,0
-1.441853334242292,0
-1.6766428675087477,0
-1.542240296406315,0
-1.348820143359467,0
-1.1286063306280152,0
-0.8642642092429016,0
-0.5145571615573997,0
-0.27265873682969705,0
--0.24033560263183568,0
--0.558270992813289,0
--0.9213750845136706,0
--1.0773061499030654,0
--1.463632280890784,0
--1.5006183148297068,0
--1.506183019479549,0
--1.4026330428608889,0
--1.2319241706276425,0
--1.0430049008178224,0
--0.6484500768401122,0
--0.34942829733640113,0
-0.18507382923259413,0
-0.25991071921004305,0
-0.7691755608782187,0
-0.9484357185794525,0
-1.2066412269276048,0
-1.5754661187996597,0
-1.6279011537678552,0
-1.334216965047197,0
-1.3405325512663029,0
-1.1508312755853431,0
-0.7217994703025861,0
-0.5485245406766086,0
-0.21750044162758708,0
--0.17170496446260633,0
--0.701766361757597,0
--0.7985997608300142,0
--1.1374290659150859,0
--1.3618839809109595,0
--1.529972848149111,0
--1.4436431664034195,0
--1.357714588081773,0
--1.3026488736656825,0
--1.0201015879488196,0
--0.6606056144529007,0
--0.5196232397473944,0
-0.008810674577001723,0
-0.22997556413795378,0
-0.6534123162889016,0
-1.0620520164492633,0
-1.2556643810260006,0
-1.396574398043802,0
-1.4748413036719665,0
-1.5370465217696572,0
-1.4102528628054007,0
-1.0967246946951446,0
-0.9036484328011043,0
-0.5168762851656017,0
-0.3683242707917529,0
--0.24345160573460933,0
--0.5756489858272991,0
--0.9078440223050248,0
--1.188696831880186,0
--1.346657766094199,0
--1.4529521770858853,0
--1.6184328987285919,0
--1.4695682765596985,0
--1.3655254541948811,0
--0.9341052594290183,0
--0.5377311299979599,0
--0.26929241353211797,0
-0.025967483651342233,0
-0.4497235387898437,0
-0.7351412811790569,0
-1.1510744057289066,0
-1.316583608915531,0
-1.4093387761596254,0
-1.4123237530598736,0
-1.425433680775895,0
-1.380777867815954,0
-1.0638321656083296,0
-0.8650433932087492,0
-0.6526813022738274,0
-0.19019807866718977,0
--0.0390959193897544,0
--0.4436494089769004,0
--0.9032500844625015,0
--1.2577181571466378,0
--1.3608436780912376,0
--1.5094899266029351,0
--1.4687086111950067,0
--1.3055041763818211,0
--1.350724690894848,0
--1.0559752549071408,0
--0.6977042649377073,0
--0.28791184276613924,0
-0.0383035808548375,0
-0.40410715383683904,0
-0.8234717179050222,0
-1.063834307686656,0
-1.2487165744137614,0
-1.430881160704431,0
-1.4440097341123703,0
-1.5144307389081222,0
-1.427928109369539,0
-0.932300106334099,0
-0.97303904221504,0
-0.5479477747958169,0
-0.22256648427636733,0
--0.8073235090111526,1
--1.3100287326370772,1
--0.9732715560477418,1
--1.3451562933573213,1
--1.2143174972330748,1
--1.2588594033950788,1
--1.1202078162431581,1
--1.0307797788067785,1
--1.1854860188621883,1
--0.9790381392131638,1
--0.6803040716736124,0
--0.4264947885093121,0
--0.01956446089155504,0
-0.4141669357194748,0
-0.7678704399198707,0
-1.102335244289896,0
-1.2444099376987765,0
-1.3200187358061652,0
-1.4461190845459044,0
-1.5134722367913478,0
-1.413038658982973,0
-1.3226485870754239,0
-0.8904664849532896,0
-0.5705329180468858,0
-0.17470243864803517,0
--0.21842956492013973,0
--0.4935536897488452,0
--0.8551670574034274,0
--1.1713158255927953,0
--1.4382178824959446,0
--1.482661113231294,0
--1.5263637565403876,0
--1.33244674456451,0
--1.1954574323898806,0
--1.103493960813835,0
--0.635092883522263,0
--0.41593309174386545,0
diff --git a/benchmark/synthetic/unidataset/collective_global_0.1.csv b/benchmark/synthetic/unidataset/collective_global_0.1.csv
deleted file mode 100644
index 6e69517..0000000
--- a/benchmark/synthetic/unidataset/collective_global_0.1.csv
+++ /dev/null
@@ -1,201 +0,0 @@
-value,anomaly
-0.09986898780971384,0
-0.42668075382716264,0
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diff --git a/benchmark/synthetic/unidataset/collective_global_0.15.csv b/benchmark/synthetic/unidataset/collective_global_0.15.csv
deleted file mode 100644
index db9af17..0000000
--- a/benchmark/synthetic/unidataset/collective_global_0.15.csv
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deleted file mode 100644
index 6d80b39..0000000
--- a/benchmark/synthetic/unidataset/collective_global_0.2.csv
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index 5b227da..0000000
--- a/benchmark/synthetic/unidataset/collective_seasonal_0.05.csv
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index d9ab944..0000000
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index bd0203e..0000000
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index 4b00564..0000000
--- a/benchmark/synthetic/unidataset/collective_seasonal_0.2.csv
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deleted file mode 100644
index adf3d7d..0000000
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index 1f4e65a..0000000
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index 76a8cb5..0000000
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index 83cc062..0000000
--- a/benchmark/synthetic/unidataset/collective_trend_0.2.csv
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deleted file mode 100644
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deleted file mode 100644
index 4d53230..0000000
--- a/benchmark/synthetic/unidataset/point_contextual_0.1.csv
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deleted file mode 100644
index cda5c53..0000000
--- a/benchmark/synthetic/unidataset/point_contextual_0.15.csv
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deleted file mode 100644
index 401245e..0000000
--- a/benchmark/synthetic/unidataset/point_contextual_0.2.csv
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deleted file mode 100644
index bdb423d..0000000
--- a/benchmark/synthetic/unidataset/point_global_0.05.csv
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--- a/benchmark/synthetic/unidataset/point_global_0.1.csv
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diff --git a/benchmark/synthetic/unidataset/point_global_0.15.csv b/benchmark/synthetic/unidataset/point_global_0.15.csv
deleted file mode 100644
index e09d2de..0000000
--- a/benchmark/synthetic/unidataset/point_global_0.15.csv
+++ /dev/null
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diff --git a/benchmark/synthetic/unidataset/point_global_0.2.csv b/benchmark/synthetic/unidataset/point_global_0.2.csv
deleted file mode 100644
index e922a3b..0000000
--- a/benchmark/synthetic/unidataset/point_global_0.2.csv
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