CategoryMismatchTrainTest

class CategoryMismatchTrainTest

Find new categories in the test set.

__init__(*args, **kwargs)

__new__(*args, **kwargs)

Methods

CategoryMismatchTrainTest.add_condition(...)	Add new condition function to the check.
CategoryMismatchTrainTest.add_condition_new_categories_less_or_equal([...])	Add condition - require column's number of different new categories to be less or equal to threshold.
CategoryMismatchTrainTest.add_condition_new_category_ratio_less_or_equal([...])	Add condition - require column's ratio of instances with new categories to be less or equal to threshold.
CategoryMismatchTrainTest.clean_conditions()	Remove all conditions from this check instance.
CategoryMismatchTrainTest.conditions_decision(result)	Run conditions on given result.
CategoryMismatchTrainTest.config([...])	Return check configuration (conditions' configuration not yet supported).
CategoryMismatchTrainTest.feature_reduce(...)	Return an aggregated drift score based on aggregation method defined.
CategoryMismatchTrainTest.from_config(conf)	Return check object from a CheckConfig object.
CategoryMismatchTrainTest.from_json(conf[, ...])	Deserialize check instance from JSON string.
CategoryMismatchTrainTest.greater_is_better()	Return True if the check reduce_output is better when it is greater.
CategoryMismatchTrainTest.metadata([...])	Return check metadata.
CategoryMismatchTrainTest.name()	Name of class in split camel case.
CategoryMismatchTrainTest.params([show_defaults])	Return parameters to show when printing the check.
CategoryMismatchTrainTest.reduce_output(...)	Return an aggregated drift score based on aggregation method defined.
CategoryMismatchTrainTest.remove_condition(index)	Remove given condition by index.
CategoryMismatchTrainTest.run(train_dataset, ...)	Run check.
CategoryMismatchTrainTest.run_logic(context)	Run check.
CategoryMismatchTrainTest.to_json([indent, ...])	Serialize check instance to JSON string.

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train_test_validation

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CategoryMismatchTrainTest.add_condition