diff --git a/examples/run_certain_pipeline.py b/examples/run_certain_pipeline.py
deleted file mode 100644
index 4f02ea5..0000000
--- a/examples/run_certain_pipeline.py
+++ /dev/null
@@ -1,30 +0,0 @@
-
-import os
-
-results_dir = './'
-pipeline_run_yml_dir = './'
-
-pipeline_yml_name = './pipeline.yml' # './pipeline_yml/pipeline_10.yml'
-pipline_yml_index = pipeline_yml_name[11:-4]
-
-python_command = 'python3 -m d3m runtime fit-produce -p ' + pipeline_yml_name \
-                     + ' -r ./datasets/anomaly/yahoo_sub_5/TRAIN/problem_TRAIN/problemDoc.json' \
-                     + ' -i ./datasets/anomaly/yahoo_sub_5/TRAIN/dataset_TRAIN/datasetDoc.json' \
-                     + ' -t ./datasets/anomaly/yahoo_sub_5/TEST/dataset_TEST/datasetDoc.json -o ' \
-                     + results_dir + 'result.csv' \
-                     + ' -O ' \
-                     + pipeline_run_yml_dir + 'pipeline_run' + '.yml'
-
-print(python_command)
-os.system(python_command)
-# 'python3 -m d3m runtime fit-produce -p pipeline.yml
-# -r ../datasets/anomaly/kpi/TRAIN/problem_TRAIN/problemDoc.json
-# -i ../datasets/anomaly/kpi/TRAIN/dataset_TRAIN/datasetDoc.json
-# -t ../datasets/anomaly/kpi/TEST/dataset_TEST/datasetDoc.json
-# -o results.csv -O pipeline_run.yml'
-
-# python3 -m d3m runtime fit-produce -p pipeline.yml
-# -r ../datasets/anomaly/yahoo_sub_5/TRAIN/problem_TRAIN/problemDoc.json
-# -i ../datasets/anomaly/yahoo_sub_5/TRAIN/dataset_TRAIN/datasetDoc.json
-# -t ../datasets/anomaly/yahoo_sub_5/TEST/dataset_TEST/datasetDoc.json
-# -o result.csv -O pipeline_run.yml
\ No newline at end of file
diff --git a/examples/run_pipeline.py b/examples/run_pipeline.py
new file mode 100644
index 0000000..ae9d8ec
--- /dev/null
+++ b/examples/run_pipeline.py
@@ -0,0 +1,42 @@
+import pandas as pd
+import sys
+import argparse
+
+from searcher import schemas as schemas_utils
+from searcher.utils import generate_dataset_problem, evaluate_pipeline
+from axolotl.utils import pipeline as pipeline_utils
+import os
+
+this_path = os.path.dirname(os.path.abspath(__file__))
+#table_path = 'datasets/NAB/realTweets/labeled_Twitter_volume_IBM.csv' # The path of the dataset
+
+parser = argparse.ArgumentParser(description='Arguments for running predefined pipelin.')
+parser.add_argument('--table_path', type=str, default=os.path.join(this_path, '../datasets/yahoo_sub_5.csv'),
+                    help='Input the path of the input data table')
+parser.add_argument('--target_index', type=int, default=6,
+                    help='Index of the ground truth (for evaluation)')
+parser.add_argument('--metric',type=str, default='F1_MACRO',
+                    help='Evaluation Metric (F1, F1_MACRO)')
+parser.add_argument('--pipeline_path', default=os.path.join(this_path, '../tods/searcher/resources/default_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
+
+time_limit = 30 # How many seconds you wanna search
+
+# Read data and generate dataset and problem
+df = pd.read_csv(table_path)
+dataset, problem_description = generate_dataset_problem(df, target_index=target_index, metric=metric)
+
+# Load the default pipeline
+pipeline = pipeline_utils.load_pipeline(pipeline_path)
+
+# Run the pipeline
+pipeline_result = evaluate_pipeline(problem_description, dataset, pipeline)
+print(pipeline_result)
+