train_test_validation

Module contains checks of train test validation checks.

Classes

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

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CategoryMismatchTrainTest