DatasetsSizeComparison

class DatasetsSizeComparison

Verify test dataset size comparing it to the train dataset size.

__init__(**kwargs)

__new__(*args, **kwargs)

Methods

DatasetsSizeComparison.add_condition(name, ...)	Add new condition function to the check.
DatasetsSizeComparison.add_condition_test_size_not_smaller_than([value])	Add condition verifying that size of the test dataset is not smaller than X.
DatasetsSizeComparison.add_condition_test_train_size_ratio_not_smaller_than([ratio])	Add condition verifying that test-train size ratio is not smaller than X.
DatasetsSizeComparison.add_condition_train_dataset_not_smaller_than_test()	Add condition verifying that train dataset is not smaller than test dataset.
DatasetsSizeComparison.clean_conditions()	Remove all conditions from this check instance.
DatasetsSizeComparison.conditions_decision(result)	Run conditions on given result.
DatasetsSizeComparison.finalize_check_result(...)	Finalize the check result by adding the check instance and processing the conditions.
DatasetsSizeComparison.metadata([with_doc_link])	Return check metadata.
DatasetsSizeComparison.name()	Name of class in split camel case.
DatasetsSizeComparison.params([show_defaults])	Return parameters to show when printing the check.
DatasetsSizeComparison.remove_condition(index)	Remove given condition by index.
DatasetsSizeComparison.run(train_dataset, ...)	Run check.
DatasetsSizeComparison.run_logic(context)	Run check.

Examples

Datasets Size Comparison

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ModelInferenceTime.run_logic

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DatasetsSizeComparison.add_condition