NewLabelTrainTest

class NewLabelTrainTest

Find new labels in test.

Parameters

n_samplesint , default: 10_000_000

number of samples to use for this check.

random_stateint, default: 42

random seed for all check internals.

__init__(n_samples: int = 10000000, random_state: int = 42, **kwargs)

__new__(*args, **kwargs)

Methods

NewLabelTrainTest.add_condition(name, ...)	Add new condition function to the check.
NewLabelTrainTest.add_condition_new_label_ratio_less_or_equal([...])	Add condition - require label column's ratio of new label samples to be less or equal to the threshold.
NewLabelTrainTest.add_condition_new_labels_number_less_or_equal([...])	Add condition - require label column's number of different new labels to be less or equal to the threshold.
NewLabelTrainTest.clean_conditions()	Remove all conditions from this check instance.
NewLabelTrainTest.conditions_decision(result)	Run conditions on given result.
NewLabelTrainTest.config([include_version, ...])	Return check configuration (conditions' configuration not yet supported).
NewLabelTrainTest.from_config(conf[, ...])	Return check object from a CheckConfig object.
NewLabelTrainTest.from_json(conf[, ...])	Deserialize check instance from JSON string.
NewLabelTrainTest.greater_is_better()	Return True if the check reduce_output is better when it is greater.
NewLabelTrainTest.metadata([with_doc_link])	Return check metadata.
NewLabelTrainTest.name()	Name of class in split camel case.
NewLabelTrainTest.params([show_defaults])	Return parameters to show when printing the check.
NewLabelTrainTest.reduce_output(check_result)	Reduce check result value.
NewLabelTrainTest.remove_condition(index)	Remove given condition by index.
NewLabelTrainTest.run(train_dataset, ...[, ...])	Run check.
NewLabelTrainTest.run_logic(context)	Run check.
NewLabelTrainTest.to_json([indent, ...])	Serialize check instance to JSON string.

Examples

New Label

previous

IndexTrainTestLeakage.to_json

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NewLabelTrainTest.add_condition