train_test_validation#
Module contains checks of train test validation checks.
Classes
Find new categories in the test set. |
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Find new categories in the test set. |
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Verify test dataset size comparing it to the train dataset size. |
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Check if test dates are present in train data. |
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Check test data that is dated earlier than the latest date in train. |
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Check if identifiers (Index/Date) can be used to predict the label. |
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Check if test indexes are present in train data. |
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Find new labels in test. |
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Return the Predictive Power Score of all features, in order to estimate each feature's ability to predict the label. |
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Detect different variants of string categories between the same categorical column in two datasets. |
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The TrainTestFeatureDrift check is deprecated and will be removed in the 0.14 version. |
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Calculate drift between train dataset and test dataset per feature, using statistical measures. |
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The TrainTestLabelDrift check is deprecated and will be removed in the 0.14 version. |
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Calculate label drift between train dataset and test dataset, using statistical measures. |
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Detect samples in the test data that appear also in training data. |
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Calculate drift between the entire train and test datasets using a model trained to distinguish between them. |
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Calculate drift between the entire train and test datasets using a model trained to distinguish between them. |