From 40992a5ca8c10ca1371d46869f9c696e6cc6700b Mon Sep 17 00:00:00 2001 From: hwy893747147 Date: Sat, 10 Apr 2021 11:25:27 -0500 Subject: [PATCH 1/4] initial push --- ...500_UCR_Anomaly_robotDOG1_10000_19280_19360.txt | 20000 +++++++++++++++++++ examples/sk_examples/DeepLog_test.py | 53 + examples/sk_examples/IsolationForest_test.py | 44 + examples/sk_examples/MatrixProfile_test.py | 37 + examples/sk_examples/Telemanom_test.py | 54 + 5 files changed, 20188 insertions(+) create mode 100644 examples/sk_examples/500_UCR_Anomaly_robotDOG1_10000_19280_19360.txt create mode 100644 examples/sk_examples/DeepLog_test.py create mode 100644 examples/sk_examples/IsolationForest_test.py create mode 100644 examples/sk_examples/MatrixProfile_test.py create mode 100644 examples/sk_examples/Telemanom_test.py diff --git a/examples/sk_examples/500_UCR_Anomaly_robotDOG1_10000_19280_19360.txt b/examples/sk_examples/500_UCR_Anomaly_robotDOG1_10000_19280_19360.txt new file mode 100644 index 0000000..f965afb 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1.1111100e-01 + 7.6923000e-02 + 7.6923000e-02 + 7.6923000e-02 + 7.6923000e-02 + 7.6923000e-02 + 7.6923000e-02 + 5.9829000e-02 + 5.9829000e-02 + 9.4017000e-02 + 1.2820500e-01 + 1.4529900e-01 + 1.6239300e-01 + 1.6239300e-01 + 1.7948700e-01 + 2.1367500e-01 + 2.3076900e-01 + 2.3076900e-01 + 2.3076900e-01 + 2.1367500e-01 + 1.9658100e-01 + 2.1367500e-01 + 2.1367500e-01 + 2.1367500e-01 + 1.9658100e-01 + 1.7948700e-01 + 1.7948700e-01 + 1.9658100e-01 + 2.1367500e-01 + 2.6495700e-01 + 2.9914500e-01 + 3.3333300e-01 + 3.8461500e-01 + 4.0170900e-01 + 4.0170900e-01 + 3.5042700e-01 + 2.4786300e-01 + 1.4529900e-01 + 5.9829000e-02 + 2.5641000e-02 + 8.5469500e-03 + 2.5641000e-02 + 5.9829000e-02 diff --git a/examples/sk_examples/DeepLog_test.py b/examples/sk_examples/DeepLog_test.py new file mode 100644 index 0000000..2a24bab --- /dev/null +++ b/examples/sk_examples/DeepLog_test.py @@ -0,0 +1,53 @@ +import numpy as np +from tods.tods_skinterface.primitiveSKI.detection_algorithm.DeepLog_skinterface import DeepLogSKI +from sklearn.metrics import precision_recall_curve +from sklearn.metrics import accuracy_score +from sklearn.metrics import confusion_matrix +from sklearn.metrics import classification_report +import matplotlib.pyplot as plt +from sklearn import metrics + +#prepare the data +data = np.loadtxt("./500_UCR_Anomaly_robotDOG1_10000_19280_19360.txt") + +X_train = np.expand_dims(data[:10000], axis=1) +X_test = np.expand_dims(data[10000:], axis=1) + +transformer = DeepLogSKI() +transformer.fit(X_train) + +prediction_labels_train = transformer.predict(X_train) + +prediction_labels = transformer.predict(X_test) +prediction_score = transformer.predict_score(X_test) + +print("Primitive: ", transformer.primitive) +print("Prediction Labels\n", prediction_labels) +print("Prediction Score\n", prediction_score) + +# y_true = prediction_labels_train[:1000] +# y_pred = prediction_labels[:1000] +y_true = prediction_labels_train +y_pred = prediction_labels + +print('Accuracy Score: ', accuracy_score(y_true, y_pred)) + +confusion_matrix(y_true, y_pred) + +print(classification_report(y_true, y_pred)) + +precision, recall, thresholds = precision_recall_curve(y_true, y_pred) +f1_scores = 2*recall*precision/(recall+precision) + +print('Best threshold: ', thresholds[np.argmax(f1_scores)]) +print('Best F1-Score: ', np.max(f1_scores)) + +fpr, tpr, threshold = metrics.roc_curve(y_true, y_pred) +roc_auc = metrics.auc(fpr, tpr) + +plt.title('ROC') +plt.plot(fpr, tpr, 'b', label = 'AUC = %0.2f' % roc_auc) +plt.legend(loc = 'lower right') +plt.ylabel('True Positive Rate') +plt.xlabel('False Positive Rate') +plt.show() diff --git a/examples/sk_examples/IsolationForest_test.py b/examples/sk_examples/IsolationForest_test.py new file mode 100644 index 0000000..4c507fe --- /dev/null +++ b/examples/sk_examples/IsolationForest_test.py @@ -0,0 +1,44 @@ +import numpy as np +from tods.tods_skinterface.primitiveSKI.detection_algorithm.IsolationForest_skinterface import IsolationForestSKI +from sklearn.metrics import precision_recall_curve +from sklearn.metrics import accuracy_score +from sklearn.metrics import confusion_matrix +from sklearn.metrics import classification_report +#prepare the data + +data = np.loadtxt("./500_UCR_Anomaly_robotDOG1_10000_19280_19360.txt") + +# print("shape:", data.shape) +# print("datatype of data:",data.dtype) +# print("First 5 rows:\n", data[:5]) + +X_train = np.expand_dims(data[:10000], axis=1) +X_test = np.expand_dims(data[10000:], axis=1) + +# print("First 5 rows train:\n", X_train[:5]) +# print("First 5 rows test:\n", X_test[:5]) + +transformer = IsolationForestSKI() +transformer.fit(X_train) +prediction_labels_train = transformer.predict(X_train) +prediction_labels = transformer.predict(X_test) +prediction_score = transformer.predict_score(X_test) + +print("Primitive: ", transformer.primitive) +print("Prediction Labels\n", prediction_labels) +print("Prediction Score\n", prediction_score) + +y_true = prediction_labels_train +y_pred = prediction_labels + +print('Accuracy Score: ', accuracy_score(y_true, y_pred)) + +confusion_matrix(y_true, y_pred) + +print(classification_report(y_true, y_pred)) + +precision, recall, thresholds = precision_recall_curve(y_true, y_pred) +f1_scores = 2*recall*precision/(recall+precision) + +print('Best threshold: ', thresholds[np.argmax(f1_scores)]) +print('Best F1-Score: ', np.max(f1_scores)) \ No newline at end of file diff --git a/examples/sk_examples/MatrixProfile_test.py b/examples/sk_examples/MatrixProfile_test.py new file mode 100644 index 0000000..2cb8108 --- /dev/null +++ b/examples/sk_examples/MatrixProfile_test.py @@ -0,0 +1,37 @@ +import numpy as np +from tods.tods_skinterface.primitiveSKI.detection_algorithm.MatrixProfile_skinterface import MatrixProfileSKI +from sklearn.metrics import precision_recall_curve +from sklearn.metrics import accuracy_score +from sklearn.metrics import confusion_matrix +from sklearn.metrics import classification_report +#prepare the data + +data = np.loadtxt("./500_UCR_Anomaly_robotDOG1_10000_19280_19360.txt") + +X_train = np.expand_dims(data[:10000], axis=1) +X_test = np.expand_dims(data[10000:], axis=1) + +transformer = MatrixProfileSKI() +transformer.fit(X_train) +prediction_labels_train = transformer.predict(X_train) +prediction_labels = transformer.predict(X_test) +prediction_score = transformer.predict_score(X_test) + +print("Primitive: ", transformer.primitive) +print("Prediction Labels\n", prediction_labels) +print("Prediction Score\n", prediction_score) + +y_true = prediction_labels_train +y_pred = prediction_labels + +print('Accuracy Score: ', accuracy_score(y_true, y_pred)) + +confusion_matrix(y_true, y_pred) + +print(classification_report(y_true, y_pred)) + +precision, recall, thresholds = precision_recall_curve(y_true, y_pred) +f1_scores = 2*recall*precision/(recall+precision) + +print('Best threshold: ', thresholds[np.argmax(f1_scores)]) +print('Best F1-Score: ', np.max(f1_scores)) \ No newline at end of file diff --git a/examples/sk_examples/Telemanom_test.py b/examples/sk_examples/Telemanom_test.py new file mode 100644 index 0000000..92bd90f --- /dev/null +++ b/examples/sk_examples/Telemanom_test.py @@ -0,0 +1,54 @@ +import numpy as np +from tods.tods_skinterface.primitiveSKI.detection_algorithm.Telemanom_skinterface import TelemanomSKI +from sklearn.metrics import precision_recall_curve +from sklearn.metrics import accuracy_score +from sklearn.metrics import confusion_matrix +from sklearn.metrics import classification_report +import matplotlib.pyplot as plt +from sklearn import metrics +#prepare the data + +data = np.loadtxt("./500_UCR_Anomaly_robotDOG1_10000_19280_19360.txt") +# print("shape:", data.shape) +# print("datatype of data:",data.dtype) +# print("First 5 rows:\n", data[:5]) + +X_train = np.expand_dims(data[:10000], axis=1) +X_test = np.expand_dims(data[10000:], axis=1) + +# print("First 5 rows train:\n", X_train[:5]) +# print("First 5 rows test:\n", X_test[:5]) + +transformer = TelemanomSKI(l_s= 2, n_predictions= 1) +transformer.fit(X_train) +prediction_labels_train = transformer.predict(X_train) +prediction_labels = transformer.predict(X_test) +prediction_score = transformer.predict_score(X_test) + +print("Primitive: ", transformer.primitive) +print("Prediction Labels\n", prediction_labels) +print("Prediction Score\n", prediction_score) +y_true = prediction_labels_train +y_pred = prediction_labels + +print('Accuracy Score: ', accuracy_score(y_true, y_pred)) + +confusion_matrix(y_true, y_pred) + +print(classification_report(y_true, y_pred)) + +precision, recall, thresholds = precision_recall_curve(y_true, y_pred) +f1_scores = 2*recall*precision/(recall+precision) + +print('Best threshold: ', thresholds[np.argmax(f1_scores)]) +print('Best F1-Score: ', np.max(f1_scores)) + +fpr, tpr, threshold = metrics.roc_curve(y_true, y_pred) +roc_auc = metrics.auc(fpr, tpr) + +plt.title('ROC') +plt.plot(fpr, tpr, 'b', label = 'AUC = %0.2f' % roc_auc) +plt.legend(loc = 'lower right') +plt.ylabel('True Positive Rate') +plt.xlabel('False Positive Rate') +plt.show() From 3e4c072303310396e75f5806ea9c820fa17ce0c0 Mon Sep 17 00:00:00 2001 From: hwy893747147 Date: Sun, 11 Apr 2021 03:44:31 -0500 Subject: [PATCH 2/4] added sk interface for data_processing and timeseries_processing --- .../CategoricalToBinary_skinterface.py | 10 +++++ .../ContinuityValidation_skinterface.py | 10 +++++ .../DuplicationValidation_skinterface.py | 10 +++++ .../data_processing/SKImputer_skinterface.py | 10 +++++ .../TimeIntervalTransform_skinterface.py | 10 +++++ .../TimeStampValidation_skinterface.py | 10 +++++ .../data_processing_skinterface_generation.py | 46 ++++++++++++++++++++++ ...timeseries_processing_skinterface_generation.py | 46 ++++++++++++++++++++++ .../HoltSmoothing_skinterface.py | 10 +++++ .../HoltWintersExponentialSmoothing_skinterface.py | 10 +++++ .../MovingAverageTransformer_skinterface.py | 10 +++++ .../SKAxiswiseScaler_skinterface.py | 10 +++++ .../SKPowerTransformer_skinterface.py | 10 +++++ .../SKQuantileTransformer_skinterface.py | 10 +++++ .../SKStandardScaler_skinterface.py | 10 +++++ .../SimpleExponentialSmoothing_skinterface.py | 10 +++++ .../SubsequenceSegmentation_skinterface.py | 10 +++++ ...iesSeasonalityTrendDecomposition_skinterface.py | 10 +++++ .../entry_points/entry_points_data_processing.txt | 6 +++ .../entry_points_timeseries_processing.txt | 10 +++++ 20 files changed, 268 insertions(+) create mode 100644 tods/sk_interface/data_processing/CategoricalToBinary_skinterface.py create mode 100644 tods/sk_interface/data_processing/ContinuityValidation_skinterface.py create mode 100644 tods/sk_interface/data_processing/DuplicationValidation_skinterface.py create mode 100644 tods/sk_interface/data_processing/SKImputer_skinterface.py create mode 100644 tods/sk_interface/data_processing/TimeIntervalTransform_skinterface.py create mode 100644 tods/sk_interface/data_processing/TimeStampValidation_skinterface.py create mode 100644 tods/sk_interface/script/data_processing_skinterface_generation.py create mode 100644 tods/sk_interface/script/timeseries_processing_skinterface_generation.py create mode 100644 tods/sk_interface/timeseries_processing/HoltSmoothing_skinterface.py create mode 100644 tods/sk_interface/timeseries_processing/HoltWintersExponentialSmoothing_skinterface.py create mode 100644 tods/sk_interface/timeseries_processing/MovingAverageTransformer_skinterface.py create mode 100644 tods/sk_interface/timeseries_processing/SKAxiswiseScaler_skinterface.py create mode 100644 tods/sk_interface/timeseries_processing/SKPowerTransformer_skinterface.py create mode 100644 tods/sk_interface/timeseries_processing/SKQuantileTransformer_skinterface.py create mode 100644 tods/sk_interface/timeseries_processing/SKStandardScaler_skinterface.py create mode 100644 tods/sk_interface/timeseries_processing/SimpleExponentialSmoothing_skinterface.py create mode 100644 tods/sk_interface/timeseries_processing/SubsequenceSegmentation_skinterface.py create mode 100644 tods/sk_interface/timeseries_processing/TimeSeriesSeasonalityTrendDecomposition_skinterface.py create mode 100644 tods/sk_interface/utils/entry_points/entry_points_data_processing.txt create mode 100644 tods/sk_interface/utils/entry_points/entry_points_timeseries_processing.txt diff --git a/tods/sk_interface/data_processing/CategoricalToBinary_skinterface.py b/tods/sk_interface/data_processing/CategoricalToBinary_skinterface.py new file mode 100644 index 0000000..67845b2 --- /dev/null +++ b/tods/sk_interface/data_processing/CategoricalToBinary_skinterface.py @@ -0,0 +1,10 @@ +import numpy as np +from ..base import BaseSKI +from tods.data_processing.CategoricalToBinary import CategoricalToBinaryPrimitive + +class CategoricalToBinarySKI(BaseSKI): + def __init__(self, **hyperparams): + super().__init__(primitive=CategoricalToBinaryPrimitive, **hyperparams) + self.fit_available = False + self.predict_available = False + self.produce_available = True diff --git a/tods/sk_interface/data_processing/ContinuityValidation_skinterface.py b/tods/sk_interface/data_processing/ContinuityValidation_skinterface.py new file mode 100644 index 0000000..8c3c52b --- /dev/null +++ b/tods/sk_interface/data_processing/ContinuityValidation_skinterface.py @@ -0,0 +1,10 @@ +import numpy as np +from ..base import BaseSKI +from tods.data_processing.ContinuityValidation import ContinuityValidationPrimitive + +class ContinuityValidationSKI(BaseSKI): + def __init__(self, **hyperparams): + super().__init__(primitive=ContinuityValidationPrimitive, **hyperparams) + self.fit_available = False + self.predict_available = False + self.produce_available = True diff --git a/tods/sk_interface/data_processing/DuplicationValidation_skinterface.py b/tods/sk_interface/data_processing/DuplicationValidation_skinterface.py new file mode 100644 index 0000000..c5e7a44 --- /dev/null +++ b/tods/sk_interface/data_processing/DuplicationValidation_skinterface.py @@ -0,0 +1,10 @@ +import numpy as np +from ..base import BaseSKI +from tods.data_processing.DuplicationValidation import DuplicationValidationPrimitive + +class DuplicationValidationSKI(BaseSKI): + def __init__(self, **hyperparams): + super().__init__(primitive=DuplicationValidationPrimitive, **hyperparams) + self.fit_available = False + self.predict_available = False + self.produce_available = True diff --git a/tods/sk_interface/data_processing/SKImputer_skinterface.py b/tods/sk_interface/data_processing/SKImputer_skinterface.py new file mode 100644 index 0000000..e24672a --- /dev/null +++ b/tods/sk_interface/data_processing/SKImputer_skinterface.py @@ -0,0 +1,10 @@ +import numpy as np +from ..base import BaseSKI +from tods.data_processing.SKImputer import SKImputerPrimitive + +class SKImputerSKI(BaseSKI): + def __init__(self, **hyperparams): + super().__init__(primitive=SKImputerPrimitive, **hyperparams) + self.fit_available = True + self.predict_available = False + self.produce_available = True diff --git a/tods/sk_interface/data_processing/TimeIntervalTransform_skinterface.py b/tods/sk_interface/data_processing/TimeIntervalTransform_skinterface.py new file mode 100644 index 0000000..cafbf7a --- /dev/null +++ b/tods/sk_interface/data_processing/TimeIntervalTransform_skinterface.py @@ -0,0 +1,10 @@ +import numpy as np +from ..base import BaseSKI +from tods.data_processing.TimeIntervalTransform import TimeIntervalTransformPrimitive + +class TimeIntervalTransformSKI(BaseSKI): + def __init__(self, **hyperparams): + super().__init__(primitive=TimeIntervalTransformPrimitive, **hyperparams) + self.fit_available = False + self.predict_available = False + self.produce_available = True diff --git a/tods/sk_interface/data_processing/TimeStampValidation_skinterface.py b/tods/sk_interface/data_processing/TimeStampValidation_skinterface.py new file mode 100644 index 0000000..24b151f --- /dev/null +++ b/tods/sk_interface/data_processing/TimeStampValidation_skinterface.py @@ -0,0 +1,10 @@ +import numpy as np +from ..base import BaseSKI +from tods.data_processing.TimeStampValidation import TimeStampValidationPrimitive + +class TimeStampValidationSKI(BaseSKI): + def __init__(self, **hyperparams): + super().__init__(primitive=TimeStampValidationPrimitive, **hyperparams) + self.fit_available = False + self.predict_available = False + self.produce_available = True diff --git a/tods/sk_interface/script/data_processing_skinterface_generation.py b/tods/sk_interface/script/data_processing_skinterface_generation.py new file mode 100644 index 0000000..ec7808e --- /dev/null +++ b/tods/sk_interface/script/data_processing_skinterface_generation.py @@ -0,0 +1,46 @@ + +import re +import os + +with open('../utils/entry_points/entry_points_data_processing.txt','r',encoding='utf-8') as f: + entry_file = f.read() + +output_dir = '../data_processing' + +fit_available_primitives = ['SKImputerPrimitive'] + +primitive_folder_start_loc_buf = [i.start()+2 for i in re.finditer('=', entry_file)] +primitive_start_loc_buf = [i.start()+1 for i in re.finditer(':', entry_file)] +primitive_end_loc_buf = [i.start() for i in re.finditer('\n', entry_file)] + +for primitive_index, primitive_start_loc in enumerate(primitive_start_loc_buf): + + primitive_folder_start_loc = primitive_folder_start_loc_buf[primitive_index] + primitive_end_loc = primitive_end_loc_buf[primitive_index] + + primitive_folder = entry_file[primitive_folder_start_loc:primitive_start_loc-1] + primitive_name = entry_file[primitive_start_loc:primitive_end_loc] + # print(entry_file[primitive_folder_start_loc:primitive_start_loc-1]) + # print(entry_file[primitive_start_loc:primitive_end_loc]) + + import_line1 = 'import numpy as np \nfrom ..base import BaseSKI\n' + import_line2 = 'from ' + primitive_folder + ' import ' + primitive_name + '\n\n' + # print(import_line) + + class_name = primitive_name.replace('Primitive', 'SKI') + class_line1 = 'class ' + class_name + '(BaseSKI):\n\tdef __init__(self, **hyperparams):\n\t\tsuper().__init__(primitive=' + class_line2 = primitive_name + ', **hyperparams)\n' + + if primitive_name in fit_available_primitives: + class_line3 = '\t\tself.fit_available = True\n\t\tself.predict_available = False\n\t\tself.produce_available = True\n' + else: + class_line3 = '\t\tself.fit_available = False\n\t\tself.predict_available = False\n\t\tself.produce_available = True\n' + + python_content = import_line1 + import_line2 + class_line1 + class_line2 + class_line3 + python_name = primitive_name.replace('Primitive', '_skinterface.py') + with open(os.path.join(output_dir, python_name), 'w', encoding='utf-8') as f: + f.write(python_content) + print(os.path.join(output_dir, python_name)) + print(python_content) + + diff --git a/tods/sk_interface/script/timeseries_processing_skinterface_generation.py b/tods/sk_interface/script/timeseries_processing_skinterface_generation.py new file mode 100644 index 0000000..cf6367b --- /dev/null +++ b/tods/sk_interface/script/timeseries_processing_skinterface_generation.py @@ -0,0 +1,46 @@ + +import re +import os + +with open('../utils/entry_points/entry_points_timeseries_processing.txt','r',encoding='utf-8') as f: + entry_file = f.read() + +output_dir = '../timeseries_processing' + +fit_unavailable_primitives = ['SubsequenceSegmentationPrimitive', 'TimeSeriesSeasonalityTrendDecompositionPrimitive', 'SKAxiswiseScalerPrimitive'] + +primitive_folder_start_loc_buf = [i.start()+2 for i in re.finditer('=', entry_file)] +primitive_start_loc_buf = [i.start()+1 for i in re.finditer(':', entry_file)] +primitive_end_loc_buf = [i.start() for i in re.finditer('\n', entry_file)] + +for primitive_index, primitive_start_loc in enumerate(primitive_start_loc_buf): + + primitive_folder_start_loc = primitive_folder_start_loc_buf[primitive_index] + primitive_end_loc = primitive_end_loc_buf[primitive_index] + + primitive_folder = entry_file[primitive_folder_start_loc:primitive_start_loc-1] + primitive_name = entry_file[primitive_start_loc:primitive_end_loc] + # print(entry_file[primitive_folder_start_loc:primitive_start_loc-1]) + # print(entry_file[primitive_start_loc:primitive_end_loc]) + + import_line1 = 'import numpy as np \nfrom ..base import BaseSKI\n' + import_line2 = 'from ' + primitive_folder + ' import ' + primitive_name + '\n\n' + # print(import_line) + + class_name = primitive_name.replace('Primitive', 'SKI') + class_line1 = 'class ' + class_name + '(BaseSKI):\n\tdef __init__(self, **hyperparams):\n\t\tsuper().__init__(primitive=' + class_line2 = primitive_name + ', **hyperparams)\n' + + if primitive_name in fit_unavailable_primitives: + class_line3 = '\t\tself.fit_available = False\n\t\tself.predict_available = False\n\t\tself.produce_available = True\n' + else: + class_line3 = '\t\tself.fit_available = True\n\t\tself.predict_available = False\n\t\tself.produce_available = True\n' + + python_content = import_line1 + import_line2 + class_line1 + class_line2 + class_line3 + python_name = primitive_name.replace('Primitive', '_skinterface.py') + with open(os.path.join(output_dir, python_name), 'w', encoding='utf-8') as f: + f.write(python_content) + print(os.path.join(output_dir, python_name)) + print(python_content) + + diff --git a/tods/sk_interface/timeseries_processing/HoltSmoothing_skinterface.py b/tods/sk_interface/timeseries_processing/HoltSmoothing_skinterface.py new file mode 100644 index 0000000..4cec7c5 --- /dev/null +++ b/tods/sk_interface/timeseries_processing/HoltSmoothing_skinterface.py @@ -0,0 +1,10 @@ +import numpy as np +from ..base import BaseSKI +from tods.timeseries_processing.HoltSmoothing import HoltSmoothingPrimitive + +class HoltSmoothingSKI(BaseSKI): + def __init__(self, **hyperparams): + super().__init__(primitive=HoltSmoothingPrimitive, **hyperparams) + self.fit_available = True + self.predict_available = False + self.produce_available = True diff --git a/tods/sk_interface/timeseries_processing/HoltWintersExponentialSmoothing_skinterface.py b/tods/sk_interface/timeseries_processing/HoltWintersExponentialSmoothing_skinterface.py new file mode 100644 index 0000000..73d2988 --- /dev/null +++ b/tods/sk_interface/timeseries_processing/HoltWintersExponentialSmoothing_skinterface.py @@ -0,0 +1,10 @@ +import numpy as np +from ..base import BaseSKI +from tods.timeseries_processing.HoltWintersExponentialSmoothing import HoltWintersExponentialSmoothingPrimitive + +class HoltWintersExponentialSmoothingSKI(BaseSKI): + def __init__(self, **hyperparams): + super().__init__(primitive=HoltWintersExponentialSmoothingPrimitive, **hyperparams) + self.fit_available = True + self.predict_available = False + self.produce_available = True diff --git a/tods/sk_interface/timeseries_processing/MovingAverageTransformer_skinterface.py b/tods/sk_interface/timeseries_processing/MovingAverageTransformer_skinterface.py new file mode 100644 index 0000000..893854c --- /dev/null +++ b/tods/sk_interface/timeseries_processing/MovingAverageTransformer_skinterface.py @@ -0,0 +1,10 @@ +import numpy as np +from ..base import BaseSKI +from tods.timeseries_processing.MovingAverageTransformer import MovingAverageTransformerPrimitive + +class MovingAverageTransformerSKI(BaseSKI): + def __init__(self, **hyperparams): + super().__init__(primitive=MovingAverageTransformerPrimitive, **hyperparams) + self.fit_available = True + self.predict_available = False + self.produce_available = True diff --git a/tods/sk_interface/timeseries_processing/SKAxiswiseScaler_skinterface.py b/tods/sk_interface/timeseries_processing/SKAxiswiseScaler_skinterface.py new file mode 100644 index 0000000..8108771 --- /dev/null +++ b/tods/sk_interface/timeseries_processing/SKAxiswiseScaler_skinterface.py @@ -0,0 +1,10 @@ +import numpy as np +from ..base import BaseSKI +from tods.timeseries_processing.SKAxiswiseScaler import SKAxiswiseScalerPrimitive + +class SKAxiswiseScalerSKI(BaseSKI): + def __init__(self, **hyperparams): + super().__init__(primitive=SKAxiswiseScalerPrimitive, **hyperparams) + self.fit_available = False + self.predict_available = False + self.produce_available = True diff --git a/tods/sk_interface/timeseries_processing/SKPowerTransformer_skinterface.py b/tods/sk_interface/timeseries_processing/SKPowerTransformer_skinterface.py new file mode 100644 index 0000000..d8b57fb --- /dev/null +++ b/tods/sk_interface/timeseries_processing/SKPowerTransformer_skinterface.py @@ -0,0 +1,10 @@ +import numpy as np +from ..base import BaseSKI +from tods.timeseries_processing.SKPowerTransformer import SKPowerTransformerPrimitive + +class SKPowerTransformerSKI(BaseSKI): + def __init__(self, **hyperparams): + super().__init__(primitive=SKPowerTransformerPrimitive, **hyperparams) + self.fit_available = True + self.predict_available = False + self.produce_available = True diff --git a/tods/sk_interface/timeseries_processing/SKQuantileTransformer_skinterface.py b/tods/sk_interface/timeseries_processing/SKQuantileTransformer_skinterface.py new file mode 100644 index 0000000..38b44a0 --- /dev/null +++ b/tods/sk_interface/timeseries_processing/SKQuantileTransformer_skinterface.py @@ -0,0 +1,10 @@ +import numpy as np +from ..base import BaseSKI +from tods.timeseries_processing.SKQuantileTransformer import SKQuantileTransformerPrimitive + +class SKQuantileTransformerSKI(BaseSKI): + def __init__(self, **hyperparams): + super().__init__(primitive=SKQuantileTransformerPrimitive, **hyperparams) + self.fit_available = True + self.predict_available = False + self.produce_available = True diff --git a/tods/sk_interface/timeseries_processing/SKStandardScaler_skinterface.py b/tods/sk_interface/timeseries_processing/SKStandardScaler_skinterface.py new file mode 100644 index 0000000..80b1cc7 --- /dev/null +++ b/tods/sk_interface/timeseries_processing/SKStandardScaler_skinterface.py @@ -0,0 +1,10 @@ +import numpy as np +from ..base import BaseSKI +from tods.timeseries_processing.SKStandardScaler import SKStandardScalerPrimitive + +class SKStandardScalerSKI(BaseSKI): + def __init__(self, **hyperparams): + super().__init__(primitive=SKStandardScalerPrimitive, **hyperparams) + self.fit_available = True + self.predict_available = False + self.produce_available = True diff --git a/tods/sk_interface/timeseries_processing/SimpleExponentialSmoothing_skinterface.py b/tods/sk_interface/timeseries_processing/SimpleExponentialSmoothing_skinterface.py new file mode 100644 index 0000000..592b8b6 --- /dev/null +++ b/tods/sk_interface/timeseries_processing/SimpleExponentialSmoothing_skinterface.py @@ -0,0 +1,10 @@ +import numpy as np +from ..base import BaseSKI +from tods.timeseries_processing.SimpleExponentialSmoothing import SimpleExponentialSmoothingPrimitive + +class SimpleExponentialSmoothingSKI(BaseSKI): + def __init__(self, **hyperparams): + super().__init__(primitive=SimpleExponentialSmoothingPrimitive, **hyperparams) + self.fit_available = True + self.predict_available = False + self.produce_available = True diff --git a/tods/sk_interface/timeseries_processing/SubsequenceSegmentation_skinterface.py b/tods/sk_interface/timeseries_processing/SubsequenceSegmentation_skinterface.py new file mode 100644 index 0000000..87d7dbd --- /dev/null +++ b/tods/sk_interface/timeseries_processing/SubsequenceSegmentation_skinterface.py @@ -0,0 +1,10 @@ +import numpy as np +from ..base import BaseSKI +from tods.timeseries_processing.SubsequenceSegmentation import SubsequenceSegmentationPrimitive + +class SubsequenceSegmentationSKI(BaseSKI): + def __init__(self, **hyperparams): + super().__init__(primitive=SubsequenceSegmentationPrimitive, **hyperparams) + self.fit_available = False + self.predict_available = False + self.produce_available = True diff --git a/tods/sk_interface/timeseries_processing/TimeSeriesSeasonalityTrendDecomposition_skinterface.py b/tods/sk_interface/timeseries_processing/TimeSeriesSeasonalityTrendDecomposition_skinterface.py new file mode 100644 index 0000000..ea22250 --- /dev/null +++ b/tods/sk_interface/timeseries_processing/TimeSeriesSeasonalityTrendDecomposition_skinterface.py @@ -0,0 +1,10 @@ +import numpy as np +from ..base import BaseSKI +from tods.timeseries_processing.TimeSeriesSeasonalityTrendDecomposition import TimeSeriesSeasonalityTrendDecompositionPrimitive + +class TimeSeriesSeasonalityTrendDecompositionSKI(BaseSKI): + def __init__(self, **hyperparams): + super().__init__(primitive=TimeSeriesSeasonalityTrendDecompositionPrimitive, **hyperparams) + self.fit_available = False + self.predict_available = False + self.produce_available = True diff --git a/tods/sk_interface/utils/entry_points/entry_points_data_processing.txt b/tods/sk_interface/utils/entry_points/entry_points_data_processing.txt new file mode 100644 index 0000000..451f489 --- /dev/null +++ b/tods/sk_interface/utils/entry_points/entry_points_data_processing.txt @@ -0,0 +1,6 @@ +tods.data_processing.time_interval_transform = tods.data_processing.TimeIntervalTransform:TimeIntervalTransformPrimitive +tods.data_processing.categorical_to_binary = tods.data_processing.CategoricalToBinary:CategoricalToBinaryPrimitive +tods.data_processing.timestamp_validation = tods.data_processing.TimeStampValidation:TimeStampValidationPrimitive +tods.data_processing.duplication_validation = tods.data_processing.DuplicationValidation:DuplicationValidationPrimitive +tods.data_processing.continuity_validation = tods.data_processing.ContinuityValidation:ContinuityValidationPrimitive +tods.data_processing.impute_missing = tods.data_processing.SKImputer:SKImputerPrimitive diff --git a/tods/sk_interface/utils/entry_points/entry_points_timeseries_processing.txt b/tods/sk_interface/utils/entry_points/entry_points_timeseries_processing.txt new file mode 100644 index 0000000..694e5ff --- /dev/null +++ b/tods/sk_interface/utils/entry_points/entry_points_timeseries_processing.txt @@ -0,0 +1,10 @@ +tods.timeseries_processing.transformation.axiswise_scaler = tods.timeseries_processing.SKAxiswiseScaler:SKAxiswiseScalerPrimitive +tods.timeseries_processing.transformation.standard_scaler = tods.timeseries_processing.SKStandardScaler:SKStandardScalerPrimitive +tods.timeseries_processing.transformation.power_transformer = tods.timeseries_processing.SKPowerTransformer:SKPowerTransformerPrimitive +tods.timeseries_processing.transformation.quantile_transformer = tods.timeseries_processing.SKQuantileTransformer:SKQuantileTransformerPrimitive +tods.timeseries_processing.transformation.moving_average_transform = tods.timeseries_processing.MovingAverageTransformer:MovingAverageTransformerPrimitive +tods.timeseries_processing.transformation.simple_exponential_smoothing = tods.timeseries_processing.SimpleExponentialSmoothing:SimpleExponentialSmoothingPrimitive +tods.timeseries_processing.transformation.holt_smoothing = tods.timeseries_processing.HoltSmoothing:HoltSmoothingPrimitive +tods.timeseries_processing.transformation.subsequence_segmentation = tods.timeseries_processing.SubsequenceSegmentation:SubsequenceSegmentationPrimitive +tods.timeseries_processing.transformation.holt_winters_exponential_smoothing = tods.timeseries_processing.HoltWintersExponentialSmoothing:HoltWintersExponentialSmoothingPrimitive +tods.timeseries_processing.decomposition.time_series_seasonality_trend_decomposition = tods.timeseries_processing.TimeSeriesSeasonalityTrendDecomposition:TimeSeriesSeasonalityTrendDecompositionPrimitive From 6e449e5392a93cbddb2fdefa8c8915b672ae3d1d Mon Sep 17 00:00:00 2001 From: hwy893747147 Date: Wed, 14 Apr 2021 00:40:06 -0500 Subject: [PATCH 3/4] Update DeepLog_test.py --- examples/sk_examples/DeepLog_test.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/examples/sk_examples/DeepLog_test.py b/examples/sk_examples/DeepLog_test.py index 2a24bab..d521d52 100644 --- a/examples/sk_examples/DeepLog_test.py +++ b/examples/sk_examples/DeepLog_test.py @@ -1,5 +1,6 @@ import numpy as np -from tods.tods_skinterface.primitiveSKI.detection_algorithm.DeepLog_skinterface import DeepLogSKI +from tods.sk_interface.detection_algorithm.DeepLog_skinterface import DeepLogSKI +#from tods.tods_skinterface.primitiveSKI.detection_algorithm.DeepLog_skinterface import DeepLogSKI from sklearn.metrics import precision_recall_curve from sklearn.metrics import accuracy_score from sklearn.metrics import confusion_matrix From c0305d6232accea68fb18d80cb8abc3e07f375fd Mon Sep 17 00:00:00 2001 From: hwy893747147 Date: Fri, 7 May 2021 10:17:13 -0500 Subject: [PATCH 4/4] Demo Notebook --- .../TODS Official Demo Notebook.ipynb | 2706 ++++++++++++++++++++ 1 file changed, 2706 insertions(+) create mode 100644 examples/Demo Notebook/TODS Official Demo Notebook.ipynb diff --git a/examples/Demo Notebook/TODS Official Demo Notebook.ipynb b/examples/Demo Notebook/TODS Official Demo Notebook.ipynb new file mode 100644 index 0000000..97e66d8 --- /dev/null +++ b/examples/Demo Notebook/TODS Official Demo Notebook.ipynb @@ -0,0 +1,2706 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'1.4.1'" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import scipy\n", + "scipy.__version__" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Python 3.6.10 :: Anaconda, Inc.\r\n" + ] + } + ], + "source": [ + "!python -V" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# TODS" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Introduction Summary" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "TODS is a full-stack automated machine learning system for outlier detection on multivariate time-series data. TODS provides exhaustive modules for building machine learning-based outlier detection systems, including: data processing, time series processing, feature analysis (extraction), detection algorithms, and reinforcement module. The functionalities provided via these modules include data preprocessing for general purposes, time series data smoothing/transformation, extracting features from time/frequency domains, various detection algorithms, and involving human expertise to calibrate the system. Three common outlier detection scenarios on time-series data can be performed: point-wise detection (time points as outliers), pattern-wise detection (subsequences as outliers), and system-wise detection (sets of time series as outliers), and a wide-range of corresponding algorithms are provided in TODS. This package is developed by DATA Lab @ Texas A&M University." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Packages" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Obtaining tods from git+https://github.com/datamllab/tods.git#egg=tods\n", + " Cloning https://github.com/datamllab/tods.git to ./src/tods\n", + " Running command git clone -q https://github.com/datamllab/tods.git '/Users/wangyanghe/Desktop/Research/Tods Notebook/src/tods'\n", + "Requirement already satisfied: Jinja2 in /Users/wangyanghe/anaconda3/envs/tods2/lib/python3.6/site-packages (from tods) (2.11.3)\n", + "Requirement already satisfied: numpy==1.18.2 in /Users/wangyanghe/anaconda3/envs/tods2/lib/python3.6/site-packages (from tods) (1.18.2)\n", + "Requirement already satisfied: simplejson==3.12.0 in /Users/wangyanghe/anaconda3/envs/tods2/lib/python3.6/site-packages (from tods) (3.12.0)\n", + "Requirement already satisfied: scikit-learn==0.22.0 in /Users/wangyanghe/anaconda3/envs/tods2/lib/python3.6/site-packages (from tods) (0.22)\n", + "Requirement already satisfied: statsmodels==0.11.1 in /Users/wangyanghe/anaconda3/envs/tods2/lib/python3.6/site-packages (from tods) (0.11.1)\n", + "Requirement already satisfied: PyWavelets>=1.1.1 in /Users/wangyanghe/anaconda3/envs/tods2/lib/python3.6/site-packages (from tods) (1.1.1)\n", + "Requirement already satisfied: pillow==7.1.2 in /Users/wangyanghe/anaconda3/envs/tods2/lib/python3.6/site-packages (from tods) (7.1.2)\n", + "Requirement already satisfied: tensorflow==2.2 in /Users/wangyanghe/anaconda3/envs/tods2/lib/python3.6/site-packages (from tods) (2.2.0)\n", + "Requirement already satisfied: keras in /Users/wangyanghe/anaconda3/envs/tods2/lib/python3.6/site-packages (from tods) (2.4.3)\n", + "Requirement already satisfied: pyod in /Users/wangyanghe/anaconda3/envs/tods2/lib/python3.6/site-packages (from tods) (0.8.7)\n", + "Requirement already satisfied: nimfa==1.4.0 in /Users/wangyanghe/anaconda3/envs/tods2/lib/python3.6/site-packages (from tods) (1.4.0)\n", + "Requirement already satisfied: stumpy==1.4.0 in /Users/wangyanghe/anaconda3/envs/tods2/lib/python3.6/site-packages (from tods) (1.4.0)\n", + "Requirement already satisfied: more-itertools==8.5.0 in /Users/wangyanghe/anaconda3/envs/tods2/lib/python3.6/site-packages (from tods) (8.5.0)\n", + "Requirement already satisfied: MarkupSafe>=0.23 in /Users/wangyanghe/anaconda3/envs/tods2/lib/python3.6/site-packages (from Jinja2->tods) (1.1.1)\n", + "Requirement already satisfied: joblib>=0.11 in /Users/wangyanghe/anaconda3/envs/tods2/lib/python3.6/site-packages (from scikit-learn==0.22.0->tods) (1.0.1)\n", + "Requirement already satisfied: scipy>=0.17.0 in /Users/wangyanghe/anaconda3/envs/tods2/lib/python3.6/site-packages (from scikit-learn==0.22.0->tods) (1.4.1)\n", + "Requirement already satisfied: patsy>=0.5 in /Users/wangyanghe/anaconda3/envs/tods2/lib/python3.6/site-packages (from statsmodels==0.11.1->tods) (0.5.1)\n", + "Requirement already satisfied: pandas>=0.21 in /Users/wangyanghe/anaconda3/envs/tods2/lib/python3.6/site-packages (from statsmodels==0.11.1->tods) (1.0.3)\n", + "Requirement already satisfied: google-pasta>=0.1.8 in /Users/wangyanghe/anaconda3/envs/tods2/lib/python3.6/site-packages (from tensorflow==2.2->tods) (0.2.0)\n", + "Requirement already satisfied: protobuf>=3.8.0 in /Users/wangyanghe/anaconda3/envs/tods2/lib/python3.6/site-packages (from tensorflow==2.2->tods) (3.15.8)\n", + "Requirement already satisfied: six>=1.12.0 in /Users/wangyanghe/anaconda3/envs/tods2/lib/python3.6/site-packages (from tensorflow==2.2->tods) (1.15.0)\n", + "Requirement already satisfied: grpcio>=1.8.6 in /Users/wangyanghe/anaconda3/envs/tods2/lib/python3.6/site-packages (from tensorflow==2.2->tods) (1.37.0)\n", + "Requirement already satisfied: keras-preprocessing>=1.1.0 in /Users/wangyanghe/anaconda3/envs/tods2/lib/python3.6/site-packages (from tensorflow==2.2->tods) (1.1.2)\n", + "Requirement already satisfied: h5py<2.11.0,>=2.10.0 in /Users/wangyanghe/anaconda3/envs/tods2/lib/python3.6/site-packages (from tensorflow==2.2->tods) (2.10.0)\n", + "Requirement already satisfied: opt-einsum>=2.3.2 in /Users/wangyanghe/anaconda3/envs/tods2/lib/python3.6/site-packages (from tensorflow==2.2->tods) (3.3.0)\n", + "Requirement already satisfied: termcolor>=1.1.0 in /Users/wangyanghe/anaconda3/envs/tods2/lib/python3.6/site-packages (from tensorflow==2.2->tods) (1.1.0)\n", + "Requirement already satisfied: wheel>=0.26; 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python_version < \"3.8\"->markdown>=2.6.8->tensorboard<2.3.0,>=2.2.0->tensorflow==2.2->tods) (3.4.1)\n", + "Requirement already satisfied: typing-extensions>=3.6.4; python_version < \"3.8\" in /Users/wangyanghe/anaconda3/envs/tods2/lib/python3.6/site-packages (from importlib-metadata; python_version < \"3.8\"->markdown>=2.6.8->tensorboard<2.3.0,>=2.2.0->tensorflow==2.2->tods) (3.7.4.3)\n", + "Requirement already satisfied: oauthlib>=3.0.0 in /Users/wangyanghe/anaconda3/envs/tods2/lib/python3.6/site-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib<0.5,>=0.4.1->tensorboard<2.3.0,>=2.2.0->tensorflow==2.2->tods) (3.1.0)\n", + "Requirement already satisfied: pyasn1>=0.1.3 in /Users/wangyanghe/anaconda3/envs/tods2/lib/python3.6/site-packages (from rsa<5,>=3.1.4; python_version >= \"3.6\"->google-auth<2,>=1.6.3->tensorboard<2.3.0,>=2.2.0->tensorflow==2.2->tods) (0.4.8)\n", + "Installing collected packages: tods\n", + " Attempting uninstall: tods\n", + " Found existing installation: tods 0.0.2\n", + " Uninstalling tods-0.0.2:\n", + " Successfully uninstalled tods-0.0.2\n", + " Running setup.py develop for tods\n", + "Successfully installed tods\n" + ] + } + ], + "source": [ + "!pip install -e git+https://github.com/datamllab/tods.git#egg=tods" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "/Users/wangyanghe/Desktop/Research/Tods Notebook/src/tods\n" + ] + } + ], + "source": [ + "%cd src/tods" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Branch 'wangyanghe' set up to track remote branch 'wangyanghe' from 'origin'.\r\n", + "Switched to a new branch 'wangyanghe'\r\n" + ] + } + ], + "source": [ + "!git checkout wangyanghe" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "/Users/wangyanghe/Desktop/Research/Tods Notebook/src/tods/examples/sk_examples\n" + ] + } + ], + "source": [ + "%cd examples/sk_examples" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "500_UCR_Anomaly_robotDOG1_10000_19280_19360.txt\r\n", + "DeepLog_test.py\r\n", + "IsolationForest_test.py\r\n", + "MatrixProfile_test.py\r\n", + "Telemanom_test.py\r\n" + ] + } + ], + "source": [ + "!ls" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Imports" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [], + "source": [ + "import sys\n", + "import argparse\n", + "import os\n", + "import numpy as np\n", + "import pandas as pd\n", + "from sklearn.metrics import precision_recall_curve\n", + "from sklearn.metrics import accuracy_score\n", + "from sklearn.metrics import confusion_matrix\n", + "from sklearn.metrics import classification_report\n", + "import matplotlib.pyplot as plt\n", + "from sklearn import metrics" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "from tods.tods_skinterface.primitiveSKI.detection_algorithm.DeepLog_skinterface import DeepLogSKI" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/wangyanghe/anaconda3/envs/tods2/lib/python3.6/site-packages/sklearn/utils/deprecation.py:144: FutureWarning: The sklearn.preprocessing.data module is deprecated in version 0.22 and will be removed in version 0.24. The corresponding classes / functions should instead be imported from sklearn.preprocessing. Anything that cannot be imported from sklearn.preprocessing is now part of the private API.\n", + " warnings.warn(message, FutureWarning)\n", + "/Users/wangyanghe/anaconda3/envs/tods2/lib/python3.6/site-packages/sklearn/utils/deprecation.py:144: FutureWarning: The sklearn.decomposition.truncated_svd module is deprecated in version 0.22 and will be removed in version 0.24. The corresponding classes / functions should instead be imported from sklearn.decomposition. Anything that cannot be imported from sklearn.decomposition is now part of the private API.\n", + " warnings.warn(message, FutureWarning)\n", + "d3m.primitives.tods.detection_algorithm.LSTMODetector: Primitive is not providing a description through its docstring.\n" + ] + } + ], + "source": [ + "from tods.tods_skinterface.primitiveSKI.detection_algorithm.Telemanom_skinterface import TelemanomSKI" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": {}, + "outputs": [], + "source": [ + "from d3m import index\n", + "from d3m.metadata.base import ArgumentType\n", + "from d3m.metadata.pipeline import Pipeline, PrimitiveStep\n", + "from axolotl.backend.simple import SimpleRunner\n", + "from tods import generate_dataset, generate_problem\n", + "from tods.searcher import BruteForceSearch" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [], + "source": [ + "from tods import generate_dataset, load_pipeline, evaluate_pipeline" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Dataset" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### UCR Dataset" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "data = np.loadtxt(\"./500_UCR_Anomaly_robotDOG1_10000_19280_19360.txt\")" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "shape: (20000,)\n", + "datatype of data: float64\n", + "First 5 rows:\n", + " [0.145299 0.128205 0.094017 0.076923 0.111111]\n" + ] + } + ], + "source": [ + "print(\"shape:\", data.shape)\n", + "print(\"datatype of data:\",data.dtype)\n", + "print(\"First 5 rows:\\n\", data[:5])" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "X_train = np.expand_dims(data[:10000], axis=1)\n", + "X_test = np.expand_dims(data[10000:], axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "First 5 rows train:\n", + " [[0.145299]\n", + " [0.128205]\n", + " [0.094017]\n", + " [0.076923]\n", + " [0.111111]]\n", + "First 5 rows test:\n", + " [[0.076923]\n", + " [0.076923]\n", + " [0.076923]\n", + " [0.094017]\n", + " [0.145299]]\n" + ] + } + ], + "source": [ + "print(\"First 5 rows train:\\n\", X_train[:5])\n", + "print(\"First 5 rows test:\\n\", X_test[:5])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Yahoo Dataset" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "data_yahoo = pd.read_csv('../../datasets/anomaly/raw_data/yahoo_sub_5.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "shape: (1400, 7)\n", + "First 5 rows:\n", + " timestamp value_0 value_1 value_2 value_3 value_4 anomaly\n", + "0 1 12183 0.000000 3.716667 5 2109 0\n", + "1 2 12715 0.091758 3.610833 60 3229 0\n", + "2 3 12736 0.172297 3.481389 88 3637 0\n", + "3 4 12716 0.226219 3.380278 84 1982 0\n", + "4 5 12739 0.176358 3.193333 111 2751 0\n" + ] + } + ], + "source": [ + "print(\"shape:\", data_yahoo.shape)\n", + "print(\"First 5 rows:\\n\", data_yahoo[:5])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## SK Example 1: DeepLog" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoch 1/10\n", + "282/282 [==============================] - 1s 5ms/step - loss: 0.4239 - val_loss: 0.2694\n", + "Epoch 2/10\n", + "282/282 [==============================] - 1s 2ms/step - loss: 0.3344 - val_loss: 0.2818\n", + "Epoch 3/10\n", + "282/282 [==============================] - 1s 2ms/step - loss: 0.3444 - val_loss: 0.2806\n", + "Epoch 4/10\n", + "282/282 [==============================] - 1s 2ms/step - loss: 0.3575 - val_loss: 0.2731\n", + "Epoch 5/10\n", + "282/282 [==============================] - 1s 2ms/step - loss: 0.3364 - val_loss: 0.2783\n", + "Epoch 6/10\n", + "282/282 [==============================] - 1s 2ms/step - loss: 0.3447 - val_loss: 0.2742\n", + "Epoch 7/10\n", + "282/282 [==============================] - 1s 2ms/step - loss: 0.3357 - val_loss: 0.2586\n", + "Epoch 8/10\n", + "282/282 [==============================] - 1s 2ms/step - loss: 0.3392 - val_loss: 0.2804\n", + "Epoch 9/10\n", + "282/282 [==============================] - 1s 2ms/step - loss: 0.3442 - val_loss: 0.2691\n", + "Epoch 10/10\n", + "282/282 [==============================] - 1s 2ms/step - loss: 0.3475 - val_loss: 0.2683\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/wangyanghe/anaconda3/envs/tods2/lib/python3.6/site-packages/sklearn/utils/validation.py:933: FutureWarning: Passing attributes to check_is_fitted is deprecated and will be removed in 0.23. The attributes argument is ignored.\n", + " \"argument is ignored.\", FutureWarning)\n", + "/Users/wangyanghe/anaconda3/envs/tods2/lib/python3.6/site-packages/sklearn/utils/validation.py:933: FutureWarning: Passing attributes to check_is_fitted is deprecated and will be removed in 0.23. The attributes argument is ignored.\n", + " \"argument is ignored.\", FutureWarning)\n", + "/Users/wangyanghe/anaconda3/envs/tods2/lib/python3.6/site-packages/sklearn/utils/validation.py:933: FutureWarning: Passing attributes to check_is_fitted is deprecated and will be removed in 0.23. The attributes argument is ignored.\n", + " \"argument is ignored.\", FutureWarning)\n" + ] + } + ], + "source": [ + "transformer = DeepLogSKI()\n", + "transformer.fit(X_train)\n", + "prediction_labels_train = transformer.predict(X_train)\n", + "prediction_labels_test = transformer.predict(X_test)\n", + "prediction_score = transformer.predict_score(X_test)" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Primitive: d3m.primitives.tods.detection_algorithm.deeplog(hyperparams=Hyperparams({'contamination': 0.1, 'window_size': 1, 'step_size': 1, 'return_subseq_inds': False, 'use_columns': (), 'exclude_columns': (), 'return_result': 'new', 'use_semantic_types': False, 'add_index_columns': False, 'error_on_no_input': True, 'return_semantic_type': 'https://metadata.datadrivendiscovery.org/types/Attribute', 'hidden_size': 64, 'loss': 'mean_squared_error', 'optimizer': 'Adam', 'epochs': 10, 'batch_size': 32, 'dropout_rate': 0.2, 'l2_regularizer': 0.1, 'validation_size': 0.1, 'features': 1, 'stacked_layers': 1, 'preprocessing': True, 'verbose': 1}), random_seed=0)\n", + "Prediction Labels\n", + " [[0]\n", + " [0]\n", + " [0]\n", + " ...\n", + " [0]\n", + " [0]\n", + " [0]]\n", + "Prediction Score\n", + " [[0. ]\n", + " [0.3569443 ]\n", + " [0.3569443 ]\n", + " ...\n", + " [0.77054234]\n", + " [0.4575615 ]\n", + " [0.17499346]]\n" + ] + } + ], + "source": [ + "print(\"Primitive: \", transformer.primitive)\n", + "print(\"Prediction Labels\\n\", prediction_labels_test)\n", + "print(\"Prediction Score\\n\", prediction_score)" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "y_true = prediction_labels_train\n", + "y_pred = prediction_labels_test\n", + "precision, recall, thresholds = precision_recall_curve(y_true, y_pred)\n", + "f1_scores = 2*recall*precision/(recall+precision)\n", + "fpr, tpr, threshold = metrics.roc_curve(y_true, y_pred)\n", + "roc_auc = metrics.auc(fpr, tpr)" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Accuracy Score: 0.903\n" + ] + } + ], + "source": [ + "print('Accuracy Score: ', accuracy_score(y_true, y_pred))" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[8646, 358],\n", + " [ 612, 384]])" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "confusion_matrix(y_true, y_pred)" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " precision recall f1-score support\n", + "\n", + " 0 0.93 0.96 0.95 9004\n", + " 1 0.52 0.39 0.44 996\n", + "\n", + " accuracy 0.90 10000\n", + " macro avg 0.73 0.67 0.69 10000\n", + "weighted avg 0.89 0.90 0.90 10000\n", + "\n" + ] + } + ], + "source": [ + "print(classification_report(y_true, y_pred))" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Best threshold: 1\n", + "Best F1-Score: 0.4418872266973533\n" + ] + } + ], + "source": [ + "print('Best threshold: ', thresholds[np.argmax(f1_scores)])\n", + "print('Best F1-Score: ', np.max(f1_scores))" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.title('ROC')\n", + "plt.plot(fpr, tpr, 'b', label = 'AUC = %0.2f' % roc_auc)\n", + "plt.legend(loc = 'lower right')\n", + "plt.ylabel('True Positive Rate')\n", + "plt.xlabel('False Positive Rate')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## SK Example 2: Telemanom" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "125/125 [==============================] - 1s 8ms/step - loss: 0.0112 - val_loss: 0.0046\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/wangyanghe/anaconda3/envs/tods2/lib/python3.6/site-packages/sklearn/utils/validation.py:933: FutureWarning: Passing attributes to check_is_fitted is deprecated and will be removed in 0.23. The attributes argument is ignored.\n", + " \"argument is ignored.\", FutureWarning)\n", + "/Users/wangyanghe/anaconda3/envs/tods2/lib/python3.6/site-packages/sklearn/utils/validation.py:933: FutureWarning: Passing attributes to check_is_fitted is deprecated and will be removed in 0.23. The attributes argument is ignored.\n", + " \"argument is ignored.\", FutureWarning)\n" + ] + } + ], + "source": [ + "transformer = TelemanomSKI(l_s= 2, n_predictions= 1)\n", + "transformer.fit(X_train)\n", + "prediction_labels_train = transformer.predict(X_train)\n", + "prediction_labels_test = transformer.predict(X_test)\n", + "prediction_score = transformer.predict_score(X_test)" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Primitive: d3m.primitives.tods.detection_algorithm.telemanom(hyperparams=Hyperparams({'contamination': 0.1, 'window_size': 1, 'step_size': 1, 'return_subseq_inds': False, 'use_columns': (), 'exclude_columns': (), 'return_result': 'new', 'use_semantic_types': False, 'add_index_columns': False, 'error_on_no_input': True, 'return_semantic_type': 'https://metadata.datadrivendiscovery.org/types/Attribute', 'smoothing_perc': 0.05, 'window_size_': 100, 'error_buffer': 50, 'batch_size': 70, 'dropout': 0.3, 'validation_split': 0.2, 'optimizer': 'Adam', 'lstm_batch_size': 64, 'loss_metric': 'mean_squared_error', 'layers': [10, 10], 'epochs': 1, 'patience': 10, 'min_delta': 0.0003, 'l_s': 2, 'n_predictions': 1, 'p': 0.05}), random_seed=0)\n", + "Prediction Labels\n", + " [[1]\n", + " [1]\n", + " [1]\n", + " ...\n", + " [1]\n", + " [1]\n", + " [1]]\n", + "Prediction Score\n", + " [[0.08822848]\n", + " [0.07965706]\n", + " [0.05999164]\n", + " ...\n", + " [0.05911084]\n", + " [0.05963569]\n", + " [0.06003137]]\n" + ] + } + ], + "source": [ + "print(\"Primitive: \", transformer.primitive)\n", + "print(\"Prediction Labels\\n\", prediction_labels_test)\n", + "print(\"Prediction Score\\n\", prediction_score)" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [], + "source": [ + "y_true = prediction_labels_train\n", + "y_pred = prediction_labels_test\n", + "precision, recall, thresholds = precision_recall_curve(y_true, y_pred)\n", + "f1_scores = 2*recall*precision/(recall+precision)\n", + "fpr, tpr, threshold = metrics.roc_curve(y_true, y_pred)\n", + "roc_auc = metrics.auc(fpr, tpr)" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Accuracy Score: 0.1839551865559668\n" + ] + } + ], + "source": [ + "print('Accuracy Score: ', accuracy_score(y_true, y_pred))" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[ 990, 8007],\n", + " [ 151, 849]])" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "confusion_matrix(y_true, y_pred)" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " precision recall f1-score support\n", + "\n", + " 0 0.87 0.11 0.20 8997\n", + " 1 0.10 0.85 0.17 1000\n", + "\n", + " accuracy 0.18 9997\n", + " macro avg 0.48 0.48 0.18 9997\n", + "weighted avg 0.79 0.18 0.19 9997\n", + "\n" + ] + } + ], + "source": [ + "print(classification_report(y_true, y_pred))" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Best threshold: 0\n", + "Best F1-Score: 0.18186778212239701\n" + ] + } + ], + "source": [ + "print('Best threshold: ', thresholds[np.argmax(f1_scores)])\n", + "print('Best F1-Score: ', np.max(f1_scores))" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.title('ROC')\n", + "plt.plot(fpr, tpr, 'b', label = 'AUC = %0.2f' % roc_auc)\n", + "plt.legend(loc = 'lower right')\n", + "plt.ylabel('True Positive Rate')\n", + "plt.xlabel('False Positive Rate')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Pipline Example: AutoEncoder" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Build Pipeline" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'inputs.0'" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Creating pipeline\n", + "pipeline_description = Pipeline()\n", + "pipeline_description.add_input(name='inputs')" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "While loading primitive 'tods.data_processing.dataset_to_dataframe', an error has been detected: (networkx 2.5 (/Users/wangyanghe/anaconda3/envs/tods2/lib/python3.6/site-packages), Requirement.parse('networkx==2.4'), {'tamu-axolotl'})\n", + "Attempting to load primitive 'tods.data_processing.dataset_to_dataframe' without checking requirements.\n" + ] + } + ], + "source": [ + "# Step 0: dataset_to_dataframe\n", + "step_0 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.dataset_to_dataframe'))\n", + "step_0.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='inputs.0')\n", + "step_0.add_output('produce')\n", + "pipeline_description.add_step(step_0)" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "While loading primitive 'tods.data_processing.column_parser', an error has been detected: (networkx 2.5 (/Users/wangyanghe/anaconda3/envs/tods2/lib/python3.6/site-packages), Requirement.parse('networkx==2.4'), {'tamu-axolotl'})\n", + "Attempting to load primitive 'tods.data_processing.column_parser' without checking requirements.\n" + ] + } + ], + "source": [ + "# Step 1: column_parser\n", + "step_1 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.column_parser'))\n", + "step_1.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.0.produce')\n", + "step_1.add_output('produce')\n", + "pipeline_description.add_step(step_1)" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "While loading primitive 'tods.data_processing.extract_columns_by_semantic_types', an error has been detected: (networkx 2.5 (/Users/wangyanghe/anaconda3/envs/tods2/lib/python3.6/site-packages), Requirement.parse('networkx==2.4'), {'tamu-axolotl'})\n", + "Attempting to load primitive 'tods.data_processing.extract_columns_by_semantic_types' without checking requirements.\n" + ] + } + ], + "source": [ + "# Step 2: extract_columns_by_semantic_types(attributes)\n", + "step_2 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.extract_columns_by_semantic_types'))\n", + "step_2.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.1.produce')\n", + "step_2.add_output('produce')\n", + "step_2.add_hyperparameter(name='semantic_types', argument_type=ArgumentType.VALUE,\n", + "\t\t\t\t\t\t\t data=['https://metadata.datadrivendiscovery.org/types/Attribute'])\n", + "pipeline_description.add_step(step_2)" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [], + "source": [ + "# Step 3: extract_columns_by_semantic_types(targets)\n", + "step_3 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.extract_columns_by_semantic_types'))\n", + "step_3.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.0.produce')\n", + "step_3.add_output('produce')\n", + "step_3.add_hyperparameter(name='semantic_types', argument_type=ArgumentType.VALUE,\n", + "\t\t\t\t\t\t\tdata=['https://metadata.datadrivendiscovery.org/types/TrueTarget'])\n", + "pipeline_description.add_step(step_3)" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [], + "source": [ + "attributes = 'steps.2.produce'\n", + "targets = 'steps.3.produce'" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "While loading primitive 'tods.feature_analysis.statistical_maximum', an error has been detected: (networkx 2.5 (/Users/wangyanghe/anaconda3/envs/tods2/lib/python3.6/site-packages), Requirement.parse('networkx==2.4'), {'tamu-axolotl'})\n", + "Attempting to load primitive 'tods.feature_analysis.statistical_maximum' without checking requirements.\n" + ] + } + ], + "source": [ + "# Step 4: processing\n", + "step_4 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.feature_analysis.statistical_maximum'))\n", + "step_4.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference=attributes)\n", + "step_4.add_output('produce')\n", + "pipeline_description.add_step(step_4)" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "While loading primitive 'tods.detection_algorithm.pyod_ae', an error has been detected: (networkx 2.5 (/Users/wangyanghe/anaconda3/envs/tods2/lib/python3.6/site-packages), Requirement.parse('networkx==2.4'), {'tamu-axolotl'})\n", + "Attempting to load primitive 'tods.detection_algorithm.pyod_ae' without checking requirements.\n" + ] + } + ], + "source": [ + "# Step 5: algorithm`\n", + "step_5 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.detection_algorithm.pyod_ae'))\n", + "step_5.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.4.produce')\n", + "step_5.add_output('produce')\n", + "pipeline_description.add_step(step_5)" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "While loading primitive 'tods.data_processing.construct_predictions', an error has been detected: (networkx 2.5 (/Users/wangyanghe/anaconda3/envs/tods2/lib/python3.6/site-packages), Requirement.parse('networkx==2.4'), {'tamu-axolotl'})\n", + "Attempting to load primitive 'tods.data_processing.construct_predictions' without checking requirements.\n" + ] + } + ], + "source": [ + "# Step 6: Predictions\n", + "step_6 = PrimitiveStep(primitive=index.get_primitive('d3m.primitives.tods.data_processing.construct_predictions'))\n", + "step_6.add_argument(name='inputs', argument_type=ArgumentType.CONTAINER, data_reference='steps.5.produce')\n", + "step_6.add_argument(name='reference', argument_type=ArgumentType.CONTAINER, data_reference='steps.1.produce')\n", + "step_6.add_output('produce')\n", + "pipeline_description.add_step(step_6)" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'outputs.0'" + ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Final Output\n", + "pipeline_description.add_output(name='output predictions', data_reference='steps.6.produce')" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{\"id\": \"5ea6f8e5-e938-43e3-9dd4-4c9451bb8821\", \"schema\": \"https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json\", \"created\": \"2021-04-14T16:15:48.973138Z\", \"inputs\": [{\"name\": \"inputs\"}], \"outputs\": [{\"data\": \"steps.6.produce\", \"name\": \"output predictions\"}], \"steps\": [{\"type\": \"PRIMITIVE\", \"primitive\": {\"id\": \"4b42ce1e-9b98-4a25-b68e-fad13311eb65\", \"version\": \"0.3.0\", \"python_path\": \"d3m.primitives.tods.data_processing.dataset_to_dataframe\", \"name\": \"Extract a DataFrame from a Dataset\", \"digest\": \"fb5cd27ebf69b9587b23940618071ba9ffe9f47ebd7772797d61ae0521f92515\"}, \"arguments\": {\"inputs\": {\"type\": \"CONTAINER\", \"data\": \"inputs.0\"}}, \"outputs\": [{\"id\": \"produce\"}]}, {\"type\": \"PRIMITIVE\", \"primitive\": {\"id\": \"d510cb7a-1782-4f51-b44c-58f0236e47c7\", \"version\": \"0.6.0\", \"python_path\": \"d3m.primitives.tods.data_processing.column_parser\", \"name\": \"Parses strings into their types\", \"digest\": \"62af3e97e2535681a0b1320e4ac97edeba15895862a46244ab079c47ce56958d\"}, \"arguments\": {\"inputs\": {\"type\": \"CONTAINER\", \"data\": \"steps.0.produce\"}}, \"outputs\": [{\"id\": \"produce\"}]}, {\"type\": \"PRIMITIVE\", \"primitive\": {\"id\": \"4503a4c6-42f7-45a1-a1d4-ed69699cf5e1\", \"version\": \"0.4.0\", \"python_path\": \"d3m.primitives.tods.data_processing.extract_columns_by_semantic_types\", \"name\": \"Extracts columns by semantic type\", \"digest\": \"d4c8204514d840de1b5acad9831f9d5581b41f425df3d14051336abdeacdf1b2\"}, \"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\": \"4503a4c6-42f7-45a1-a1d4-ed69699cf5e1\", \"version\": \"0.4.0\", \"python_path\": \"d3m.primitives.tods.data_processing.extract_columns_by_semantic_types\", \"name\": \"Extracts columns by semantic type\", \"digest\": \"d4c8204514d840de1b5acad9831f9d5581b41f425df3d14051336abdeacdf1b2\"}, \"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\": \"3b448057-ac26-4f1b-96b6-141782f16a54\", \"version\": \"0.1.0\", \"python_path\": \"d3m.primitives.tods.feature_analysis.statistical_maximum\", \"name\": \"Time Series Decompostional\", \"digest\": \"922b594bd6c0894d57f6ebf5a54ccae6d69dab67326bd591c8c25e3a3dea6781\"}, \"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\"}]}, {\"type\": \"PRIMITIVE\", \"primitive\": {\"id\": \"8d38b340-f83f-4877-baaa-162f8e551736\", \"version\": \"0.3.0\", \"python_path\": \"d3m.primitives.tods.data_processing.construct_predictions\", \"name\": \"Construct pipeline predictions output\", \"digest\": \"33d90bfb7f97f47a6de5372c5f912c26fca8da2d2777661651c69687ad6f9950\"}, \"arguments\": {\"inputs\": {\"type\": \"CONTAINER\", \"data\": \"steps.5.produce\"}, \"reference\": {\"type\": \"CONTAINER\", \"data\": \"steps.1.produce\"}}, \"outputs\": [{\"id\": \"produce\"}]}], \"digest\": \"fc87321fbbe0b4faa956958d39d41d2cafd02700a3ed7ba80b01e80cace8d07e\"}\n" + ] + } + ], + "source": [ + "# Output to json\n", + "data = pipeline_description.to_json()\n", + "with open('autoencoder_pipeline.json', 'w') as f:\n", + " f.write(data)\n", + " print(data)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Run Pipeline" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": {}, + "outputs": [], + "source": [ + "this_path = os.path.dirname(os.path.abspath(\"__file__\"))\n", + "default_data_path = os.path.join(this_path, '../../datasets/anomaly/raw_data/yahoo_sub_5.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "_StoreAction(option_strings=['--pipeline_path'], dest='pipeline_path', nargs=None, const=None, default='/Users/wangyanghe/Desktop/Research/Tods Notebook/src/tods/examples/sk_examples/autoencoder_pipeline.json', type=None, choices=None, help='Input the path of the pre-built pipeline description', metavar=None)" + ] + }, + "execution_count": 64, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "parser = argparse.ArgumentParser(description='Arguments for running predefined pipelin.')\n", + "parser.add_argument('--table_path', type=str, default=default_data_path,\n", + " help='Input the path of the input data table')\n", + "parser.add_argument('--target_index', type=int, default=6,\n", + " help='Index of the ground truth (for evaluation)')\n", + "parser.add_argument('--metric',type=str, default='F1_MACRO',\n", + " help='Evaluation Metric (F1, F1_MACRO)')\n", + "parser.add_argument('--pipeline_path', \n", + " default=os.path.join(this_path, 'autoencoder_pipeline.json'),\n", + " help='Input the path of the pre-built pipeline description')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": {}, + "outputs": [], + "source": [ + "args, unknown = parser.parse_known_args()\n", + "table_path = args.table_path \n", + "target_index = args.target_index # what column is the target\n", + "pipeline_path = args.pipeline_path\n", + "metric = args.metric # F1 on both label 0 and 1" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": {}, + "outputs": [], + "source": [ + "# Read data and generate dataset\n", + "df = pd.read_csv(table_path)\n", + "dataset = generate_dataset(df, target_index)" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": {}, + "outputs": [], + "source": [ + "# Load the default pipeline\n", + "pipeline = load_pipeline(pipeline_path)" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Not all provided hyper-parameters for the data preparation pipeline 79ce71bd-db96-494b-a455-14f2e2ac5040 were used: ['method', 'number_of_folds', 'randomSeed', 'shuffle', 'stratified']\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Model: \"sequential_2\"\n", + "_________________________________________________________________\n", + "Layer (type) Output Shape Param # \n", + "=================================================================\n", + "dense_2 (Dense) (None, 12) 156 \n", + "_________________________________________________________________\n", + "dropout_2 (Dropout) (None, 12) 0 \n", + "_________________________________________________________________\n", + "dense_3 (Dense) (None, 12) 156 \n", + "_________________________________________________________________\n", + "dropout_3 (Dropout) (None, 12) 0 \n", + "_________________________________________________________________\n", + "dense_4 (Dense) (None, 1) 13 \n", + "_________________________________________________________________\n", + "dropout_4 (Dropout) (None, 1) 0 \n", + "_________________________________________________________________\n", + "dense_5 (Dense) (None, 4) 8 \n", + "_________________________________________________________________\n", + "dropout_5 (Dropout) (None, 4) 0 \n", + "_________________________________________________________________\n", + "dense_6 (Dense) (None, 1) 5 \n", + "_________________________________________________________________\n", + "dropout_6 (Dropout) (None, 1) 0 \n", + "_________________________________________________________________\n", + "dense_7 (Dense) (None, 12) 24 \n", + "=================================================================\n", + "Total params: 362\n", + "Trainable params: 362\n", + "Non-trainable params: 0\n", + "_________________________________________________________________\n", + "None\n", + "Epoch 1/100\n", + "40/40 [==============================] - 0s 6ms/step - loss: 2.1020 - val_loss: 1.3966\n", + "Epoch 2/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 1.8250 - val_loss: 1.2834\n", + "Epoch 3/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 1.7095 - val_loss: 1.2056\n", + "Epoch 4/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 1.6036 - val_loss: 1.1504\n", + "Epoch 5/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 1.5416 - val_loss: 1.1075\n", + "Epoch 6/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 1.4905 - val_loss: 1.0713\n", + "Epoch 7/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 1.4248 - val_loss: 1.0404\n", + "Epoch 8/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 1.4080 - val_loss: 1.0133\n", + "Epoch 9/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 1.3664 - val_loss: 0.9888\n", + "Epoch 10/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 1.3319 - val_loss: 0.9664\n", + "Epoch 11/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 1.2825 - val_loss: 0.9456\n", + "Epoch 12/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 1.2695 - val_loss: 0.9260\n", + "Epoch 13/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 1.2545 - val_loss: 0.9075\n", + "Epoch 14/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 1.2153 - val_loss: 0.8899\n", + "Epoch 15/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 1.2071 - val_loss: 0.8733\n", + "Epoch 16/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 1.1693 - val_loss: 0.8575\n", + "Epoch 17/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 1.1569 - val_loss: 0.8424\n", + "Epoch 18/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 1.1470 - val_loss: 0.8280\n", + "Epoch 19/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 1.1229 - val_loss: 0.8143\n", + "Epoch 20/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 1.1088 - val_loss: 0.8011\n", + "Epoch 21/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 1.0923 - val_loss: 0.7885\n", + "Epoch 22/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 1.0745 - val_loss: 0.7764\n", + "Epoch 23/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 1.0592 - val_loss: 0.7648\n", + "Epoch 24/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 1.0476 - val_loss: 0.7537\n", + "Epoch 25/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 1.0341 - val_loss: 0.7430\n", + "Epoch 26/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 1.0216 - val_loss: 0.7328\n", + "Epoch 27/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 1.0110 - val_loss: 0.7230\n", + "Epoch 28/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.9972 - val_loss: 0.7136\n", + "Epoch 29/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.9867 - val_loss: 0.7046\n", + "Epoch 30/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.9769 - val_loss: 0.6959\n", + "Epoch 31/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.9668 - val_loss: 0.6876\n", + "Epoch 32/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.9543 - val_loss: 0.6797\n", + "Epoch 33/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.9452 - val_loss: 0.6720\n", + "Epoch 34/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.9357 - val_loss: 0.6647\n", + "Epoch 35/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.9327 - val_loss: 0.6576\n", + "Epoch 36/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.9219 - val_loss: 0.6509\n", + "Epoch 37/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.9144 - val_loss: 0.6443\n", + "Epoch 38/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.9061 - val_loss: 0.6381\n", + "Epoch 39/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.8996 - val_loss: 0.6321\n", + "Epoch 40/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.8924 - val_loss: 0.6263\n", + "Epoch 41/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.8858 - val_loss: 0.6207\n", + "Epoch 42/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.8793 - val_loss: 0.6153\n", + "Epoch 43/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.8744 - val_loss: 0.6102\n", + "Epoch 44/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.8671 - val_loss: 0.6052\n", + "Epoch 45/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.8610 - val_loss: 0.6004\n", + "Epoch 46/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.8574 - val_loss: 0.5958\n", + "Epoch 47/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.8517 - val_loss: 0.5913\n", + "Epoch 48/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.8469 - val_loss: 0.5870\n", + "Epoch 49/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.8431 - val_loss: 0.5829\n", + "Epoch 50/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.8371 - val_loss: 0.5789\n", + "Epoch 51/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.8338 - val_loss: 0.5750\n", + "Epoch 52/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.8288 - val_loss: 0.5713\n", + "Epoch 53/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.8245 - val_loss: 0.5677\n", + "Epoch 54/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.8207 - val_loss: 0.5642\n", + "Epoch 55/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.8179 - val_loss: 0.5608\n", + "Epoch 56/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.8163 - val_loss: 0.5576\n", + "Epoch 57/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.8105 - val_loss: 0.5545\n", + "Epoch 58/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.8069 - val_loss: 0.5514\n", + "Epoch 59/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.8037 - val_loss: 0.5485\n", + "Epoch 60/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.8004 - val_loss: 0.5457\n", + "Epoch 61/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7974 - val_loss: 0.5429\n", + "Epoch 62/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7941 - val_loss: 0.5403\n", + "Epoch 63/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7915 - val_loss: 0.5377\n", + "Epoch 64/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7891 - val_loss: 0.5352\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoch 65/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7860 - val_loss: 0.5328\n", + "Epoch 66/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7836 - val_loss: 0.5305\n", + "Epoch 67/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7811 - val_loss: 0.5282\n", + "Epoch 68/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7792 - val_loss: 0.5260\n", + "Epoch 69/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7770 - val_loss: 0.5238\n", + "Epoch 70/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7745 - val_loss: 0.5218\n", + "Epoch 71/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7725 - val_loss: 0.5197\n", + "Epoch 72/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7704 - val_loss: 0.5178\n", + "Epoch 73/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7683 - val_loss: 0.5159\n", + "Epoch 74/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.7663 - val_loss: 0.5141\n", + "Epoch 75/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.7644 - val_loss: 0.5123\n", + "Epoch 76/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7627 - val_loss: 0.5106\n", + "Epoch 77/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.7608 - val_loss: 0.5089\n", + "Epoch 78/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7591 - val_loss: 0.5073\n", + "Epoch 79/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7576 - val_loss: 0.5057\n", + "Epoch 80/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7559 - val_loss: 0.5041\n", + "Epoch 81/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7544 - val_loss: 0.5026\n", + "Epoch 82/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7529 - val_loss: 0.5011\n", + "Epoch 83/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7514 - val_loss: 0.4997\n", + "Epoch 84/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7500 - val_loss: 0.4983\n", + "Epoch 85/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7486 - val_loss: 0.4970\n", + "Epoch 86/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7473 - val_loss: 0.4957\n", + "Epoch 87/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7460 - val_loss: 0.4944\n", + "Epoch 88/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7448 - val_loss: 0.4931\n", + "Epoch 89/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7436 - val_loss: 0.4919\n", + "Epoch 90/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7424 - val_loss: 0.4907\n", + "Epoch 91/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7412 - val_loss: 0.4896\n", + "Epoch 92/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7402 - val_loss: 0.4885\n", + "Epoch 93/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7390 - val_loss: 0.4874\n", + "Epoch 94/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7380 - val_loss: 0.4863\n", + "Epoch 95/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7370 - val_loss: 0.4853\n", + "Epoch 96/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7360 - val_loss: 0.4842\n", + "Epoch 97/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7350 - val_loss: 0.4833\n", + "Epoch 98/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7341 - val_loss: 0.4823\n", + "Epoch 99/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7332 - val_loss: 0.4814\n", + "Epoch 100/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7323 - val_loss: 0.4804\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/wangyanghe/anaconda3/envs/tods2/lib/python3.6/site-packages/sklearn/utils/validation.py:933: FutureWarning: Passing attributes to check_is_fitted is deprecated and will be removed in 0.23. The attributes argument is ignored.\n", + " \"argument is ignored.\", FutureWarning)\n", + "/Users/wangyanghe/anaconda3/envs/tods2/lib/python3.6/site-packages/sklearn/utils/validation.py:933: FutureWarning: Passing attributes to check_is_fitted is deprecated and will be removed in 0.23. The attributes argument is ignored.\n", + " \"argument is ignored.\", FutureWarning)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'method_called': 'evaluate',\n", + " 'outputs': \"[{'outputs.0': d3mIndex anomaly\"\n", + " '0 0 1'\n", + " '1 1 0'\n", + " '2 2 1'\n", + " '3 3 1'\n", + " '4 4 1'\n", + " '... ... ...'\n", + " '1395 1395 1'\n", + " '1396 1396 0'\n", + " '1397 1397 1'\n", + " '1398 1398 1'\n", + " '1399 1399 1'\n", + " ''\n", + " \"[1400 rows x 2 columns]}, {'outputs.0': d3mIndex anomaly\"\n", + " '0 0 1'\n", + " '1 1 0'\n", + " '2 2 1'\n", + " '3 3 1'\n", + " '4 4 1'\n", + " '... ... ...'\n", + " '1395 1395 1'\n", + " '1396 1396 0'\n", + " '1397 1397 1'\n", + " '1398 1398 1'\n", + " '1399 1399 1'\n", + " ''\n", + " '[1400 rows x 2 columns]}]',\n", + " 'pipeline': '',\n", + " 'scores': ' metric value normalized randomSeed fold'\n", + " '0 F1_MACRO 0.509059 0.509059 0 0',\n", + " 'status': 'COMPLETED'}\n" + ] + } + ], + "source": [ + "# Run the pipeline\n", + "pipeline_result = evaluate_pipeline(dataset, pipeline, metric)\n", + "print(pipeline_result)\n", + "#raise pipeline_result.error[0]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Searcher Example:" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "metadata": {}, + "outputs": [], + "source": [ + "table_path = '../../datasets/anomaly/raw_data/yahoo_sub_5.csv'\n", + "target_index = 6 # what column is the target\n", + "time_limit = 30 # How many seconds you wanna search" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": {}, + "outputs": [], + "source": [ + "metric = 'F1_MACRO' # F1 on both label 0 and 1" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "metadata": {}, + "outputs": [], + "source": [ + "# Read data and generate dataset and problem\n", + "df = pd.read_csv(table_path)\n", + "dataset = generate_dataset(df, target_index=target_index)\n", + "problem_description = generate_problem(dataset, metric)" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "metadata": {}, + "outputs": [], + "source": [ + "# Start backend\n", + "backend = SimpleRunner(random_seed=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "metadata": {}, + "outputs": [], + "source": [ + "# Start search algorithm\n", + "search = BruteForceSearch(problem_description=problem_description,\n", + " backend=backend)" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Not all provided hyper-parameters for the data preparation pipeline 79ce71bd-db96-494b-a455-14f2e2ac5040 were used: ['method', 'number_of_folds', 'randomSeed', 'shuffle', 'stratified']\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Model: \"sequential_3\"\n", + "_________________________________________________________________\n", + "Layer (type) Output Shape Param # \n", + "=================================================================\n", + "dense_8 (Dense) (None, 12) 156 \n", + "_________________________________________________________________\n", + "dropout_7 (Dropout) (None, 12) 0 \n", + "_________________________________________________________________\n", + "dense_9 (Dense) (None, 12) 156 \n", + "_________________________________________________________________\n", + "dropout_8 (Dropout) (None, 12) 0 \n", + "_________________________________________________________________\n", + "dense_10 (Dense) (None, 1) 13 \n", + "_________________________________________________________________\n", + "dropout_9 (Dropout) (None, 1) 0 \n", + "_________________________________________________________________\n", + "dense_11 (Dense) (None, 4) 8 \n", + "_________________________________________________________________\n", + "dropout_10 (Dropout) (None, 4) 0 \n", + "_________________________________________________________________\n", + "dense_12 (Dense) (None, 1) 5 \n", + "_________________________________________________________________\n", + "dropout_11 (Dropout) (None, 1) 0 \n", + "_________________________________________________________________\n", + "dense_13 (Dense) (None, 12) 24 \n", + "=================================================================\n", + "Total params: 362\n", + "Trainable params: 362\n", + "Non-trainable params: 0\n", + "_________________________________________________________________\n", + "None\n", + "Epoch 1/100\n", + "40/40 [==============================] - 0s 4ms/step - loss: 1.5944 - val_loss: 1.2184\n", + "Epoch 2/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 1.3842 - val_loss: 1.1148\n", + "Epoch 3/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 1.2952 - val_loss: 1.0463\n", + "Epoch 4/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 1.2214 - val_loss: 0.9919\n", + "Epoch 5/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 1.1586 - val_loss: 0.9538\n", + "Epoch 6/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 1.1199 - val_loss: 0.9192\n", + "Epoch 7/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 1.0858 - val_loss: 0.8896\n", + "Epoch 8/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 1.0449 - val_loss: 0.8645\n", + "Epoch 9/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 1.0290 - val_loss: 0.8419\n", + "Epoch 10/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 1.0031 - val_loss: 0.8217\n", + "Epoch 11/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.9821 - val_loss: 0.8030\n", + "Epoch 12/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.9619 - val_loss: 0.7847\n", + "Epoch 13/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.9446 - val_loss: 0.7676\n", + "Epoch 14/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.9184 - val_loss: 0.7520\n", + "Epoch 15/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.9076 - val_loss: 0.7376\n", + "Epoch 16/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.8856 - val_loss: 0.7240\n", + "Epoch 17/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.8732 - val_loss: 0.7110\n", + "Epoch 18/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.8554 - val_loss: 0.6987\n", + "Epoch 19/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.8449 - val_loss: 0.6868\n", + "Epoch 20/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.8318 - val_loss: 0.6762\n", + "Epoch 21/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.8222 - val_loss: 0.6654\n", + "Epoch 22/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.8087 - val_loss: 0.6556\n", + "Epoch 23/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7972 - val_loss: 0.6465\n", + "Epoch 24/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7934 - val_loss: 0.6375\n", + "Epoch 25/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7774 - val_loss: 0.6290\n", + "Epoch 26/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.7675 - val_loss: 0.6209\n", + "Epoch 27/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7598 - val_loss: 0.6133\n", + "Epoch 28/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.7520 - val_loss: 0.6057\n", + "Epoch 29/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.7446 - val_loss: 0.5991\n", + "Epoch 30/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.7358 - val_loss: 0.5924\n", + "Epoch 31/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.7289 - val_loss: 0.5861\n", + "Epoch 32/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.7225 - val_loss: 0.5800\n", + "Epoch 33/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7172 - val_loss: 0.5745\n", + "Epoch 34/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7099 - val_loss: 0.5689\n", + "Epoch 35/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7043 - val_loss: 0.5637\n", + "Epoch 36/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6980 - val_loss: 0.5589\n", + "Epoch 37/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6935 - val_loss: 0.5542\n", + "Epoch 38/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6877 - val_loss: 0.5498\n", + "Epoch 39/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6828 - val_loss: 0.5454\n", + "Epoch 40/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6788 - val_loss: 0.5413\n", + "Epoch 41/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6742 - val_loss: 0.5376\n", + "Epoch 42/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6695 - val_loss: 0.5338\n", + "Epoch 43/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6655 - val_loss: 0.5303\n", + "Epoch 44/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6616 - val_loss: 0.5269\n", + "Epoch 45/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6578 - val_loss: 0.5238\n", + "Epoch 46/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6542 - val_loss: 0.5207\n", + "Epoch 47/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6505 - val_loss: 0.5178\n", + "Epoch 48/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6471 - val_loss: 0.5150\n", + "Epoch 49/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6442 - val_loss: 0.5124\n", + "Epoch 50/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6410 - val_loss: 0.5098\n", + "Epoch 51/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6386 - val_loss: 0.5073\n", + "Epoch 52/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6354 - val_loss: 0.5050\n", + "Epoch 53/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6326 - val_loss: 0.5028\n", + "Epoch 54/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6302 - val_loss: 0.5006\n", + "Epoch 55/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6287 - val_loss: 0.4986\n", + "Epoch 56/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6254 - val_loss: 0.4966\n", + "Epoch 57/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6231 - val_loss: 0.4947\n", + "Epoch 58/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6210 - val_loss: 0.4929\n", + "Epoch 59/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6195 - val_loss: 0.4911\n", + "Epoch 60/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6169 - val_loss: 0.4894\n", + "Epoch 61/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6153 - val_loss: 0.4878\n", + "Epoch 62/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6132 - val_loss: 0.4863\n", + "Epoch 63/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6114 - val_loss: 0.4848\n", + "Epoch 64/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6097 - val_loss: 0.4834\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoch 65/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6080 - val_loss: 0.4820\n", + "Epoch 66/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6065 - val_loss: 0.4806\n", + "Epoch 67/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6050 - val_loss: 0.4794\n", + "Epoch 68/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6035 - val_loss: 0.4781\n", + "Epoch 69/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6020 - val_loss: 0.4770\n", + "Epoch 70/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6007 - val_loss: 0.4758\n", + "Epoch 71/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5994 - val_loss: 0.4747\n", + "Epoch 72/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5981 - val_loss: 0.4736\n", + "Epoch 73/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5969 - val_loss: 0.4726\n", + "Epoch 74/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5958 - val_loss: 0.4716\n", + "Epoch 75/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5947 - val_loss: 0.4706\n", + "Epoch 76/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5937 - val_loss: 0.4697\n", + "Epoch 77/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5926 - val_loss: 0.4688\n", + "Epoch 78/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5918 - val_loss: 0.4679\n", + "Epoch 79/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5907 - val_loss: 0.4671\n", + "Epoch 80/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5897 - val_loss: 0.4663\n", + "Epoch 81/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5890 - val_loss: 0.4655\n", + "Epoch 82/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5880 - val_loss: 0.4647\n", + "Epoch 83/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5872 - val_loss: 0.4640\n", + "Epoch 84/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.5864 - val_loss: 0.4632\n", + "Epoch 85/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.5856 - val_loss: 0.4626\n", + "Epoch 86/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.5849 - val_loss: 0.4619\n", + "Epoch 87/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.5841 - val_loss: 0.4612\n", + "Epoch 88/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.5834 - val_loss: 0.4606\n", + "Epoch 89/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.5828 - val_loss: 0.4600\n", + "Epoch 90/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.5821 - val_loss: 0.4594\n", + "Epoch 91/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.5815 - val_loss: 0.4588\n", + "Epoch 92/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.5809 - val_loss: 0.4582\n", + "Epoch 93/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.5803 - val_loss: 0.4577\n", + "Epoch 94/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.5797 - val_loss: 0.4572\n", + "Epoch 95/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5792 - val_loss: 0.4567\n", + "Epoch 96/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5786 - val_loss: 0.4562\n", + "Epoch 97/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5781 - val_loss: 0.4557\n", + "Epoch 98/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5776 - val_loss: 0.4552\n", + "Epoch 99/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5771 - val_loss: 0.4548\n", + "Epoch 100/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5766 - val_loss: 0.4543\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/wangyanghe/anaconda3/envs/tods2/lib/python3.6/site-packages/sklearn/utils/validation.py:933: FutureWarning: Passing attributes to check_is_fitted is deprecated and will be removed in 0.23. The attributes argument is ignored.\n", + " \"argument is ignored.\", FutureWarning)\n", + "/Users/wangyanghe/anaconda3/envs/tods2/lib/python3.6/site-packages/sklearn/utils/validation.py:933: FutureWarning: Passing attributes to check_is_fitted is deprecated and will be removed in 0.23. The attributes argument is ignored.\n", + " \"argument is ignored.\", FutureWarning)\n", + "Traceback (most recent call last):\n", + " File \"/Users/wangyanghe/Desktop/Research/tods/tods/searcher/brute_force_search.py\", line 62, in _search\n", + " for error in pipeline_result.error:\n", + "TypeError: 'NoneType' object is not iterable\n", + "Not all provided hyper-parameters for the data preparation pipeline 79ce71bd-db96-494b-a455-14f2e2ac5040 were used: ['method', 'number_of_folds', 'randomSeed', 'shuffle', 'stratified']\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Model: \"sequential_4\"\n", + "_________________________________________________________________\n", + "Layer (type) Output Shape Param # \n", + "=================================================================\n", + "dense_14 (Dense) (None, 12) 156 \n", + "_________________________________________________________________\n", + "dropout_12 (Dropout) (None, 12) 0 \n", + "_________________________________________________________________\n", + "dense_15 (Dense) (None, 12) 156 \n", + "_________________________________________________________________\n", + "dropout_13 (Dropout) (None, 12) 0 \n", + "_________________________________________________________________\n", + "dense_16 (Dense) (None, 1) 13 \n", + "_________________________________________________________________\n", + "dropout_14 (Dropout) (None, 1) 0 \n", + "_________________________________________________________________\n", + "dense_17 (Dense) (None, 4) 8 \n", + "_________________________________________________________________\n", + "dropout_15 (Dropout) (None, 4) 0 \n", + "_________________________________________________________________\n", + "dense_18 (Dense) (None, 1) 5 \n", + "_________________________________________________________________\n", + "dropout_16 (Dropout) (None, 1) 0 \n", + "_________________________________________________________________\n", + "dense_19 (Dense) (None, 12) 24 \n", + "=================================================================\n", + "Total params: 362\n", + "Trainable params: 362\n", + "Non-trainable params: 0\n", + "_________________________________________________________________\n", + "None\n", + "Epoch 1/100\n", + "40/40 [==============================] - 0s 5ms/step - loss: 1.6224 - val_loss: 1.0535\n", + "Epoch 2/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 1.4768 - val_loss: 0.9671\n", + "Epoch 3/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 1.3657 - val_loss: 0.9039\n", + "Epoch 4/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 1.2853 - val_loss: 0.8548\n", + "Epoch 5/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 1.2478 - val_loss: 0.8155\n", + "Epoch 6/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 1.1850 - val_loss: 0.7841\n", + "Epoch 7/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 1.1566 - val_loss: 0.7577\n", + "Epoch 8/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 1.1255 - val_loss: 0.7338\n", + "Epoch 9/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 1.0796 - val_loss: 0.7136\n", + "Epoch 10/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 1.0545 - val_loss: 0.6954\n", + "Epoch 11/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 1.0291 - val_loss: 0.6783\n", + "Epoch 12/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 1.0136 - val_loss: 0.6627\n", + "Epoch 13/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.9984 - val_loss: 0.6483\n", + "Epoch 14/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.9704 - val_loss: 0.6347\n", + "Epoch 15/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.9495 - val_loss: 0.6222\n", + "Epoch 16/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.9450 - val_loss: 0.6098\n", + "Epoch 17/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.9221 - val_loss: 0.5983\n", + "Epoch 18/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.9060 - val_loss: 0.5875\n", + "Epoch 19/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.8961 - val_loss: 0.5772\n", + "Epoch 20/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.8758 - val_loss: 0.5674\n", + "Epoch 21/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.8635 - val_loss: 0.5580\n", + "Epoch 22/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.8520 - val_loss: 0.5492\n", + "Epoch 23/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.8367 - val_loss: 0.5407\n", + "Epoch 24/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.8265 - val_loss: 0.5328\n", + "Epoch 25/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.8198 - val_loss: 0.5251\n", + "Epoch 26/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.8084 - val_loss: 0.5180\n", + "Epoch 27/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.7999 - val_loss: 0.5108\n", + "Epoch 28/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.7929 - val_loss: 0.5042\n", + "Epoch 29/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7812 - val_loss: 0.4979\n", + "Epoch 30/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7739 - val_loss: 0.4918\n", + "Epoch 31/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7629 - val_loss: 0.4861\n", + "Epoch 32/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7554 - val_loss: 0.4807\n", + "Epoch 33/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7480 - val_loss: 0.4754\n", + "Epoch 34/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7435 - val_loss: 0.4704\n", + "Epoch 35/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7358 - val_loss: 0.4656\n", + "Epoch 36/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7309 - val_loss: 0.4610\n", + "Epoch 37/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7260 - val_loss: 0.4567\n", + "Epoch 38/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7171 - val_loss: 0.4525\n", + "Epoch 39/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7124 - val_loss: 0.4485\n", + "Epoch 40/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7065 - val_loss: 0.4447\n", + "Epoch 41/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7011 - val_loss: 0.4412\n", + "Epoch 42/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6965 - val_loss: 0.4377\n", + "Epoch 43/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6914 - val_loss: 0.4343\n", + "Epoch 44/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6886 - val_loss: 0.4311\n", + "Epoch 45/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6872 - val_loss: 0.4280\n", + "Epoch 46/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6799 - val_loss: 0.4251\n", + "Epoch 47/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6760 - val_loss: 0.4223\n", + "Epoch 48/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6714 - val_loss: 0.4196\n", + "Epoch 49/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6685 - val_loss: 0.4171\n", + "Epoch 50/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6642 - val_loss: 0.4146\n", + "Epoch 51/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6605 - val_loss: 0.4123\n", + "Epoch 52/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6584 - val_loss: 0.4100\n", + "Epoch 53/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6540 - val_loss: 0.4078\n", + "Epoch 54/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6517 - val_loss: 0.4057\n", + "Epoch 55/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6498 - val_loss: 0.4037\n", + "Epoch 56/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6457 - val_loss: 0.4018\n", + "Epoch 57/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6431 - val_loss: 0.3999\n", + "Epoch 58/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6410 - val_loss: 0.3982\n", + "Epoch 59/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6376 - val_loss: 0.3964\n", + "Epoch 60/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6357 - val_loss: 0.3948\n", + "Epoch 61/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6334 - val_loss: 0.3932\n", + "Epoch 62/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6313 - val_loss: 0.3917\n", + "Epoch 63/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6290 - val_loss: 0.3902\n", + "Epoch 64/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6271 - val_loss: 0.3888\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoch 65/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6252 - val_loss: 0.3874\n", + "Epoch 66/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6233 - val_loss: 0.3861\n", + "Epoch 67/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6213 - val_loss: 0.3848\n", + "Epoch 68/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6195 - val_loss: 0.3836\n", + "Epoch 69/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6180 - val_loss: 0.3824\n", + "Epoch 70/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6162 - val_loss: 0.3813\n", + "Epoch 71/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6150 - val_loss: 0.3802\n", + "Epoch 72/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6135 - val_loss: 0.3791\n", + "Epoch 73/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6118 - val_loss: 0.3781\n", + "Epoch 74/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6104 - val_loss: 0.3771\n", + "Epoch 75/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6094 - val_loss: 0.3761\n", + "Epoch 76/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6080 - val_loss: 0.3752\n", + "Epoch 77/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6068 - val_loss: 0.3743\n", + "Epoch 78/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6055 - val_loss: 0.3734\n", + "Epoch 79/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6045 - val_loss: 0.3726\n", + "Epoch 80/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6033 - val_loss: 0.3717\n", + "Epoch 81/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6023 - val_loss: 0.3710\n", + "Epoch 82/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6012 - val_loss: 0.3702\n", + "Epoch 83/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6002 - val_loss: 0.3694\n", + "Epoch 84/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.5992 - val_loss: 0.3687\n", + "Epoch 85/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.5983 - val_loss: 0.3680\n", + "Epoch 86/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.5973 - val_loss: 0.3674\n", + "Epoch 87/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.5964 - val_loss: 0.3667\n", + "Epoch 88/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.5956 - val_loss: 0.3661\n", + "Epoch 89/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.5948 - val_loss: 0.3655\n", + "Epoch 90/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.5941 - val_loss: 0.3649\n", + "Epoch 91/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.5933 - val_loss: 0.3643\n", + "Epoch 92/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.5926 - val_loss: 0.3637\n", + "Epoch 93/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.5920 - val_loss: 0.3632\n", + "Epoch 94/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.5913 - val_loss: 0.3626\n", + "Epoch 95/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.5906 - val_loss: 0.3621\n", + "Epoch 96/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.5900 - val_loss: 0.3616\n", + "Epoch 97/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5894 - val_loss: 0.3611\n", + "Epoch 98/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5888 - val_loss: 0.3607\n", + "Epoch 99/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5883 - val_loss: 0.3602\n", + "Epoch 100/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.5878 - val_loss: 0.3598\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/wangyanghe/anaconda3/envs/tods2/lib/python3.6/site-packages/sklearn/utils/validation.py:933: FutureWarning: Passing attributes to check_is_fitted is deprecated and will be removed in 0.23. The attributes argument is ignored.\n", + " \"argument is ignored.\", FutureWarning)\n", + "/Users/wangyanghe/anaconda3/envs/tods2/lib/python3.6/site-packages/sklearn/utils/validation.py:933: FutureWarning: Passing attributes to check_is_fitted is deprecated and will be removed in 0.23. The attributes argument is ignored.\n", + " \"argument is ignored.\", FutureWarning)\n", + "Traceback (most recent call last):\n", + " File \"/Users/wangyanghe/Desktop/Research/tods/tods/searcher/brute_force_search.py\", line 62, in _search\n", + " for error in pipeline_result.error:\n", + "TypeError: 'NoneType' object is not iterable\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Model: \"sequential_5\"\n", + "_________________________________________________________________\n", + "Layer (type) Output Shape Param # \n", + "=================================================================\n", + "dense_20 (Dense) (None, 12) 156 \n", + "_________________________________________________________________\n", + "dropout_17 (Dropout) (None, 12) 0 \n", + "_________________________________________________________________\n", + "dense_21 (Dense) (None, 12) 156 \n", + "_________________________________________________________________\n", + "dropout_18 (Dropout) (None, 12) 0 \n", + "_________________________________________________________________\n", + "dense_22 (Dense) (None, 1) 13 \n", + "_________________________________________________________________\n", + "dropout_19 (Dropout) (None, 1) 0 \n", + "_________________________________________________________________\n", + "dense_23 (Dense) (None, 4) 8 \n", + "_________________________________________________________________\n", + "dropout_20 (Dropout) (None, 4) 0 \n", + "_________________________________________________________________\n", + "dense_24 (Dense) (None, 1) 5 \n", + "_________________________________________________________________\n", + "dropout_21 (Dropout) (None, 1) 0 \n", + "_________________________________________________________________\n", + "dense_25 (Dense) (None, 12) 24 \n", + "=================================================================\n", + "Total params: 362\n", + "Trainable params: 362\n", + "Non-trainable params: 0\n", + "_________________________________________________________________\n", + "None\n", + "Epoch 1/100\n", + "40/40 [==============================] - 0s 4ms/step - loss: 1.4693 - val_loss: 1.5144\n", + "Epoch 2/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 1.3518 - val_loss: 1.4134\n", + "Epoch 3/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 1.2985 - val_loss: 1.3370\n", + "Epoch 4/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 1.2306 - val_loss: 1.2773\n", + "Epoch 5/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 1.1788 - val_loss: 1.2243\n", + "Epoch 6/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 1.1182 - val_loss: 1.1844\n", + "Epoch 7/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 1.0755 - val_loss: 1.1497\n", + "Epoch 8/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 1.0492 - val_loss: 1.1189\n", + "Epoch 9/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 1.0257 - val_loss: 1.0919\n", + "Epoch 10/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 1.0068 - val_loss: 1.0675\n", + "Epoch 11/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.9761 - val_loss: 1.0451\n", + "Epoch 12/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.9635 - val_loss: 1.0221\n", + "Epoch 13/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.9525 - val_loss: 1.0028\n", + "Epoch 14/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.9207 - val_loss: 0.9840\n", + "Epoch 15/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.9108 - val_loss: 0.9668\n", + "Epoch 16/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.8925 - val_loss: 0.9508\n", + "Epoch 17/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.8695 - val_loss: 0.9353\n", + "Epoch 18/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.8591 - val_loss: 0.9214\n", + "Epoch 19/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.8465 - val_loss: 0.9071\n", + "Epoch 20/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.8336 - val_loss: 0.8959\n", + "Epoch 21/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.8194 - val_loss: 0.8821\n", + "Epoch 22/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.8122 - val_loss: 0.8705\n", + "Epoch 23/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.7998 - val_loss: 0.8596\n", + "Epoch 24/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.7871 - val_loss: 0.8494\n", + "Epoch 25/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.7770 - val_loss: 0.8404\n", + "Epoch 26/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.7678 - val_loss: 0.8301\n", + "Epoch 27/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.7575 - val_loss: 0.8213\n", + "Epoch 28/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.7487 - val_loss: 0.8130\n", + "Epoch 29/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.7393 - val_loss: 0.8051\n", + "Epoch 30/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7329 - val_loss: 0.7975\n", + "Epoch 31/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7236 - val_loss: 0.7904\n", + "Epoch 32/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.7174 - val_loss: 0.7836\n", + "Epoch 33/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.7104 - val_loss: 0.7772\n", + "Epoch 34/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.7031 - val_loss: 0.7711\n", + "Epoch 35/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6954 - val_loss: 0.7651\n", + "Epoch 36/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6895 - val_loss: 0.7599\n", + "Epoch 37/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6836 - val_loss: 0.7544\n", + "Epoch 38/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6809 - val_loss: 0.7494\n", + "Epoch 39/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6726 - val_loss: 0.7447\n", + "Epoch 40/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6698 - val_loss: 0.7402\n", + "Epoch 41/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6631 - val_loss: 0.7359\n", + "Epoch 42/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6581 - val_loss: 0.7320\n", + "Epoch 43/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6547 - val_loss: 0.7279\n", + "Epoch 44/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6490 - val_loss: 0.7241\n", + "Epoch 45/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6449 - val_loss: 0.7206\n", + "Epoch 46/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6427 - val_loss: 0.7173\n", + "Epoch 47/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6378 - val_loss: 0.7140\n", + "Epoch 48/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6354 - val_loss: 0.7109\n", + "Epoch 49/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6302 - val_loss: 0.7080\n", + "Epoch 50/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6279 - val_loss: 0.7052\n", + "Epoch 51/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6244 - val_loss: 0.7025\n", + "Epoch 52/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6204 - val_loss: 0.6999\n", + "Epoch 53/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6177 - val_loss: 0.6976\n", + "Epoch 54/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6146 - val_loss: 0.6953\n", + "Epoch 55/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6117 - val_loss: 0.6929\n", + "Epoch 56/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6094 - val_loss: 0.6909\n", + "Epoch 57/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6072 - val_loss: 0.6888\n", + "Epoch 58/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6045 - val_loss: 0.6868\n", + "Epoch 59/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6026 - val_loss: 0.6850\n", + "Epoch 60/100\n", + "40/40 [==============================] - 0s 3ms/step - loss: 0.5997 - val_loss: 0.6833\n", + "Epoch 61/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.5977 - val_loss: 0.6815\n", + "Epoch 62/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5954 - val_loss: 0.6798\n", + "Epoch 63/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.5939 - val_loss: 0.6782\n", + "Epoch 64/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.5917 - val_loss: 0.6767\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoch 65/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.5898 - val_loss: 0.6753\n", + "Epoch 66/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.5880 - val_loss: 0.6739\n", + "Epoch 67/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.5865 - val_loss: 0.6726\n", + "Epoch 68/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.5848 - val_loss: 0.6713\n", + "Epoch 69/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5832 - val_loss: 0.6700\n", + "Epoch 70/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5817 - val_loss: 0.6689\n", + "Epoch 71/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5804 - val_loss: 0.6677\n", + "Epoch 72/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5790 - val_loss: 0.6666\n", + "Epoch 73/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5777 - val_loss: 0.6655\n", + "Epoch 74/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5764 - val_loss: 0.6645\n", + "Epoch 75/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.5750 - val_loss: 0.6635\n", + "Epoch 76/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.5739 - val_loss: 0.6626\n", + "Epoch 77/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5728 - val_loss: 0.6617\n", + "Epoch 78/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5716 - val_loss: 0.6608\n", + "Epoch 79/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5706 - val_loss: 0.6599\n", + "Epoch 80/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5696 - val_loss: 0.6591\n", + "Epoch 81/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5686 - val_loss: 0.6584\n", + "Epoch 82/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5676 - val_loss: 0.6576\n", + "Epoch 83/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.5667 - val_loss: 0.6569\n", + "Epoch 84/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.5659 - val_loss: 0.6561\n", + "Epoch 85/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5651 - val_loss: 0.6554\n", + "Epoch 86/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5642 - val_loss: 0.6548\n", + "Epoch 87/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5635 - val_loss: 0.6541\n", + "Epoch 88/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5627 - val_loss: 0.6535\n", + "Epoch 89/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5620 - val_loss: 0.6529\n", + "Epoch 90/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5613 - val_loss: 0.6523\n", + "Epoch 91/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5606 - val_loss: 0.6518\n", + "Epoch 92/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5599 - val_loss: 0.6512\n", + "Epoch 93/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5593 - val_loss: 0.6507\n", + "Epoch 94/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5587 - val_loss: 0.6502\n", + "Epoch 95/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5581 - val_loss: 0.6497\n", + "Epoch 96/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5575 - val_loss: 0.6492\n", + "Epoch 97/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5570 - val_loss: 0.6487\n", + "Epoch 98/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5564 - val_loss: 0.6483\n", + "Epoch 99/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5559 - val_loss: 0.6478\n", + "Epoch 100/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5554 - val_loss: 0.6474\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/wangyanghe/anaconda3/envs/tods2/lib/python3.6/site-packages/sklearn/utils/validation.py:933: FutureWarning: Passing attributes to check_is_fitted is deprecated and will be removed in 0.23. The attributes argument is ignored.\n", + " \"argument is ignored.\", FutureWarning)\n" + ] + } + ], + "source": [ + "# Find the best pipeline\n", + "best_runtime, best_pipeline_result = search.search_fit(input_data=[dataset], time_limit=time_limit)\n", + "best_pipeline = best_runtime.pipeline\n", + "best_output = best_pipeline_result.output" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Not all provided hyper-parameters for the data preparation pipeline 79ce71bd-db96-494b-a455-14f2e2ac5040 were used: ['method', 'number_of_folds', 'randomSeed', 'shuffle', 'stratified']\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Model: \"sequential_6\"\n", + "_________________________________________________________________\n", + "Layer (type) Output Shape Param # \n", + "=================================================================\n", + "dense_26 (Dense) (None, 12) 156 \n", + "_________________________________________________________________\n", + "dropout_22 (Dropout) (None, 12) 0 \n", + "_________________________________________________________________\n", + "dense_27 (Dense) (None, 12) 156 \n", + "_________________________________________________________________\n", + "dropout_23 (Dropout) (None, 12) 0 \n", + "_________________________________________________________________\n", + "dense_28 (Dense) (None, 1) 13 \n", + "_________________________________________________________________\n", + "dropout_24 (Dropout) (None, 1) 0 \n", + "_________________________________________________________________\n", + "dense_29 (Dense) (None, 4) 8 \n", + "_________________________________________________________________\n", + "dropout_25 (Dropout) (None, 4) 0 \n", + "_________________________________________________________________\n", + "dense_30 (Dense) (None, 1) 5 \n", + "_________________________________________________________________\n", + "dropout_26 (Dropout) (None, 1) 0 \n", + "_________________________________________________________________\n", + "dense_31 (Dense) (None, 12) 24 \n", + "=================================================================\n", + "Total params: 362\n", + "Trainable params: 362\n", + "Non-trainable params: 0\n", + "_________________________________________________________________\n", + "None\n", + "Epoch 1/100\n", + "40/40 [==============================] - 0s 4ms/step - loss: 1.5860 - val_loss: 1.0422\n", + "Epoch 2/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 1.4206 - val_loss: 0.9430\n", + "Epoch 3/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 1.3349 - val_loss: 0.8805\n", + "Epoch 4/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 1.2650 - val_loss: 0.8352\n", + "Epoch 5/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 1.1954 - val_loss: 0.7995\n", + "Epoch 6/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 1.1571 - val_loss: 0.7708\n", + "Epoch 7/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 1.1171 - val_loss: 0.7457\n", + "Epoch 8/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 1.0848 - val_loss: 0.7238\n", + "Epoch 9/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 1.0527 - val_loss: 0.7043\n", + "Epoch 10/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 1.0312 - val_loss: 0.6868\n", + "Epoch 11/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 1.0008 - val_loss: 0.6706\n", + "Epoch 12/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.9809 - val_loss: 0.6556\n", + "Epoch 13/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.9630 - val_loss: 0.6415\n", + "Epoch 14/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.9388 - val_loss: 0.6283\n", + "Epoch 15/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.9264 - val_loss: 0.6162\n", + "Epoch 16/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.9051 - val_loss: 0.6044\n", + "Epoch 17/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.8931 - val_loss: 0.5934\n", + "Epoch 18/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.8782 - val_loss: 0.5829\n", + "Epoch 19/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.8635 - val_loss: 0.5730\n", + "Epoch 20/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.8542 - val_loss: 0.5636\n", + "Epoch 21/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.8429 - val_loss: 0.5546\n", + "Epoch 22/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.8253 - val_loss: 0.5461\n", + "Epoch 23/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.8158 - val_loss: 0.5379\n", + "Epoch 24/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.8028 - val_loss: 0.5302\n", + "Epoch 25/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.7972 - val_loss: 0.5228\n", + "Epoch 26/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.7844 - val_loss: 0.5158\n", + "Epoch 27/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.7754 - val_loss: 0.5091\n", + "Epoch 28/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.7669 - val_loss: 0.5026\n", + "Epoch 29/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.7594 - val_loss: 0.4966\n", + "Epoch 30/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.7521 - val_loss: 0.4907\n", + "Epoch 31/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.7435 - val_loss: 0.4852\n", + "Epoch 32/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.7363 - val_loss: 0.4799\n", + "Epoch 33/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.7316 - val_loss: 0.4748\n", + "Epoch 34/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.7238 - val_loss: 0.4699\n", + "Epoch 35/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.7178 - val_loss: 0.4653\n", + "Epoch 36/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.7112 - val_loss: 0.4609\n", + "Epoch 37/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.7055 - val_loss: 0.4567\n", + "Epoch 38/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.7002 - val_loss: 0.4526\n", + "Epoch 39/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6961 - val_loss: 0.4487\n", + "Epoch 40/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6912 - val_loss: 0.4450\n", + "Epoch 41/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6860 - val_loss: 0.4415\n", + "Epoch 42/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6834 - val_loss: 0.4381\n", + "Epoch 43/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6771 - val_loss: 0.4348\n", + "Epoch 44/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6734 - val_loss: 0.4317\n", + "Epoch 45/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6708 - val_loss: 0.4287\n", + "Epoch 46/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6658 - val_loss: 0.4258\n", + "Epoch 47/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6623 - val_loss: 0.4230\n", + "Epoch 48/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6587 - val_loss: 0.4204\n", + "Epoch 49/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6559 - val_loss: 0.4179\n", + "Epoch 50/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6526 - val_loss: 0.4154\n", + "Epoch 51/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6512 - val_loss: 0.4131\n", + "Epoch 52/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6469 - val_loss: 0.4109\n", + "Epoch 53/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6446 - val_loss: 0.4087\n", + "Epoch 54/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6413 - val_loss: 0.4067\n", + "Epoch 55/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6389 - val_loss: 0.4047\n", + "Epoch 56/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6367 - val_loss: 0.4027\n", + "Epoch 57/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6341 - val_loss: 0.4009\n", + "Epoch 58/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6321 - val_loss: 0.3991\n", + "Epoch 59/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6300 - val_loss: 0.3974\n", + "Epoch 60/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6279 - val_loss: 0.3957\n", + "Epoch 61/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6264 - val_loss: 0.3941\n", + "Epoch 62/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6243 - val_loss: 0.3926\n", + "Epoch 63/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6226 - val_loss: 0.3911\n", + "Epoch 64/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6214 - val_loss: 0.3897\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoch 65/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6192 - val_loss: 0.3883\n", + "Epoch 66/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6176 - val_loss: 0.3870\n", + "Epoch 67/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6158 - val_loss: 0.3857\n", + "Epoch 68/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6143 - val_loss: 0.3845\n", + "Epoch 69/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6130 - val_loss: 0.3833\n", + "Epoch 70/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6116 - val_loss: 0.3821\n", + "Epoch 71/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6103 - val_loss: 0.3810\n", + "Epoch 72/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6090 - val_loss: 0.3799\n", + "Epoch 73/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6079 - val_loss: 0.3789\n", + "Epoch 74/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6068 - val_loss: 0.3779\n", + "Epoch 75/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6058 - val_loss: 0.3769\n", + "Epoch 76/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6044 - val_loss: 0.3760\n", + "Epoch 77/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6034 - val_loss: 0.3751\n", + "Epoch 78/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.6024 - val_loss: 0.3742\n", + "Epoch 79/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6016 - val_loss: 0.3733\n", + "Epoch 80/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.6005 - val_loss: 0.3725\n", + "Epoch 81/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5996 - val_loss: 0.3717\n", + "Epoch 82/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5987 - val_loss: 0.3709\n", + "Epoch 83/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5979 - val_loss: 0.3702\n", + "Epoch 84/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5971 - val_loss: 0.3694\n", + "Epoch 85/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5963 - val_loss: 0.3687\n", + "Epoch 86/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5956 - val_loss: 0.3680\n", + "Epoch 87/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5948 - val_loss: 0.3674\n", + "Epoch 88/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5941 - val_loss: 0.3667\n", + "Epoch 89/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5934 - val_loss: 0.3661\n", + "Epoch 90/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5928 - val_loss: 0.3655\n", + "Epoch 91/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5922 - val_loss: 0.3649\n", + "Epoch 92/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5915 - val_loss: 0.3644\n", + "Epoch 93/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5910 - val_loss: 0.3638\n", + "Epoch 94/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5903 - val_loss: 0.3633\n", + "Epoch 95/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5898 - val_loss: 0.3627\n", + "Epoch 96/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5892 - val_loss: 0.3622\n", + "Epoch 97/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5887 - val_loss: 0.3617\n", + "Epoch 98/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.5882 - val_loss: 0.3613\n", + "Epoch 99/100\n", + "40/40 [==============================] - 0s 1ms/step - loss: 0.5877 - val_loss: 0.3608\n", + "Epoch 100/100\n", + "40/40 [==============================] - 0s 2ms/step - loss: 0.5872 - val_loss: 0.3603\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/wangyanghe/anaconda3/envs/tods2/lib/python3.6/site-packages/sklearn/utils/validation.py:933: FutureWarning: Passing attributes to check_is_fitted is deprecated and will be removed in 0.23. The attributes argument is ignored.\n", + " \"argument is ignored.\", FutureWarning)\n", + "/Users/wangyanghe/anaconda3/envs/tods2/lib/python3.6/site-packages/sklearn/utils/validation.py:933: FutureWarning: Passing attributes to check_is_fitted is deprecated and will be removed in 0.23. The attributes argument is ignored.\n", + " \"argument is ignored.\", FutureWarning)\n" + ] + } + ], + "source": [ + "# Evaluate the best pipeline\n", + "best_scores = search.evaluate(best_pipeline).scores" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Search History:\n", + "----------------------------------------------------\n", + "Pipeline id: 108e1dce-67e7-45f2-962c-1965d988710a\n", + " metric value normalized randomSeed fold\n", + "0 F1_MACRO 0.708549 0.708549 0 0\n", + "----------------------------------------------------\n", + "Pipeline id: 2a42a07c-0263-427c-b6c8-d9ce45ac0b21\n", + " metric value normalized randomSeed fold\n", + "0 F1_MACRO 0.616695 0.616695 0 0\n" + ] + } + ], + "source": [ + "print('Search History:')\n", + "for pipeline_result in search.history:\n", + " print('-' * 52)\n", + " print('Pipeline id:', pipeline_result.pipeline.id)\n", + " print(pipeline_result.scores)" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Best pipeline:\n", + "----------------------------------------------------\n", + "Pipeline id: 108e1dce-67e7-45f2-962c-1965d988710a\n", + "Pipeline json: {\"id\": \"108e1dce-67e7-45f2-962c-1965d988710a\", \"schema\": \"https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json\", \"created\": \"2021-04-14T16:38:58.226503Z\", \"inputs\": [{\"name\": \"inputs\"}], \"outputs\": [{\"data\": \"steps.7.produce\", \"name\": \"output predictions\"}], \"steps\": [{\"type\": \"PRIMITIVE\", \"primitive\": {\"id\": \"4b42ce1e-9b98-4a25-b68e-fad13311eb65\", \"version\": \"0.3.0\", \"python_path\": \"d3m.primitives.tods.data_processing.dataset_to_dataframe\", \"name\": \"Extract a DataFrame from a Dataset\", \"digest\": \"fb5cd27ebf69b9587b23940618071ba9ffe9f47ebd7772797d61ae0521f92515\"}, \"arguments\": {\"inputs\": {\"type\": \"CONTAINER\", \"data\": \"inputs.0\"}}, \"outputs\": [{\"id\": \"produce\"}]}, {\"type\": \"PRIMITIVE\", \"primitive\": {\"id\": \"d510cb7a-1782-4f51-b44c-58f0236e47c7\", \"version\": \"0.6.0\", \"python_path\": \"d3m.primitives.tods.data_processing.column_parser\", \"name\": \"Parses strings into their types\", \"digest\": \"62af3e97e2535681a0b1320e4ac97edeba15895862a46244ab079c47ce56958d\"}, \"arguments\": {\"inputs\": {\"type\": \"CONTAINER\", \"data\": \"steps.0.produce\"}}, \"outputs\": [{\"id\": \"produce\"}]}, {\"type\": \"PRIMITIVE\", \"primitive\": {\"id\": \"4503a4c6-42f7-45a1-a1d4-ed69699cf5e1\", \"version\": \"0.4.0\", \"python_path\": \"d3m.primitives.tods.data_processing.extract_columns_by_semantic_types\", \"name\": \"Extracts columns by semantic type\", \"digest\": \"d4c8204514d840de1b5acad9831f9d5581b41f425df3d14051336abdeacdf1b2\"}, \"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\": \"4503a4c6-42f7-45a1-a1d4-ed69699cf5e1\", \"version\": \"0.4.0\", \"python_path\": \"d3m.primitives.tods.data_processing.extract_columns_by_semantic_types\", \"name\": \"Extracts columns by semantic type\", \"digest\": \"d4c8204514d840de1b5acad9831f9d5581b41f425df3d14051336abdeacdf1b2\"}, \"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\": \"eaff2f35-978c-4530-a12e-061a5f0beacd\", \"version\": \"0.1.0\", \"python_path\": \"d3m.primitives.tods.feature_analysis.statistical_mean\", \"name\": \"Time Series Decompostional\", \"digest\": \"86f8a7a74cc872b09ec7dbec5910f9613c918255ba618731aa7f1ff9b42e37ba\"}, \"arguments\": {\"inputs\": {\"type\": \"CONTAINER\", \"data\": \"steps.4.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.5.produce\"}}, \"outputs\": [{\"id\": \"produce\"}], \"hyperparams\": {\"contamination\": {\"type\": \"VALUE\", \"data\": 0.01}}}, {\"type\": \"PRIMITIVE\", \"primitive\": {\"id\": \"8d38b340-f83f-4877-baaa-162f8e551736\", \"version\": \"0.3.0\", \"python_path\": \"d3m.primitives.tods.data_processing.construct_predictions\", \"name\": \"Construct pipeline predictions output\", \"digest\": \"33d90bfb7f97f47a6de5372c5f912c26fca8da2d2777661651c69687ad6f9950\"}, \"arguments\": {\"inputs\": {\"type\": \"CONTAINER\", \"data\": \"steps.6.produce\"}, \"reference\": {\"type\": \"CONTAINER\", \"data\": \"steps.1.produce\"}}, \"outputs\": [{\"id\": \"produce\"}]}], \"digest\": \"a4ba790aa8c5ad34057cd97135f67edc8ccdc79d0bec0c4660fea0d2dfc82eb3\"}\n", + "Output:\n", + " d3mIndex anomaly\n", + "0 0 0\n", + "1 1 0\n", + "2 2 0\n", + "3 3 0\n", + "4 4 0\n", + "... ... ...\n", + "1395 1395 0\n", + "1396 1396 0\n", + "1397 1397 1\n", + "1398 1398 1\n", + "1399 1399 0\n", + "\n", + "[1400 rows x 2 columns]\n", + "Scores:\n", + " metric value normalized randomSeed fold\n", + "0 F1_MACRO 0.708549 0.708549 0 0\n" + ] + } + ], + "source": [ + "print('Best pipeline:')\n", + "print('-' * 52)\n", + "print('Pipeline id:', best_pipeline.id)\n", + "print('Pipeline json:', best_pipeline.to_json())\n", + "print('Output:')\n", + "print(best_output)\n", + "print('Scores:')\n", + "print(best_scores)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.10" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +}