TrainTestSamplesMix#

class TrainTestSamplesMix[source]#

Detect samples in the test data that appear also in training data.

__init__(**kwargs)[source]#
__new__(*args, **kwargs)#

Methods

TrainTestSamplesMix.add_condition(name, ...)

Add new condition function to the check.

TrainTestSamplesMix.add_condition_duplicates_ratio_not_greater_than([...])

Add condition - require max allowed ratio of test data samples to appear in train data.

TrainTestSamplesMix.clean_conditions()

Remove all conditions from this check instance.

TrainTestSamplesMix.conditions_decision(result)

Run conditions on given result.

TrainTestSamplesMix.finalize_check_result(...)

Finalize the check result by adding the check instance and processing the conditions.

TrainTestSamplesMix.metadata([with_doc_link])

Return check metadata.

TrainTestSamplesMix.name()

Name of class in split camel case.

TrainTestSamplesMix.params([show_defaults])

Return parameters to show when printing the check.

TrainTestSamplesMix.remove_condition(index)

Remove given condition by index.

TrainTestSamplesMix.run(train_dataset, ...)

Run check.

TrainTestSamplesMix.run_logic(context)

Run check.

Examples#