TrainTestCheck

class TrainTestCheck

Parent class for checks that compare two datasets.

The class checks train dataset and test dataset for model training and test.

__init__(**kwargs)

__new__(*args, **kwargs)

Methods

TrainTestCheck.add_condition(name, ...)	Add new condition function to the check.
TrainTestCheck.clean_conditions()	Remove all conditions from this check instance.
TrainTestCheck.compute(context)	Compute final check result based on accumulated internal state.
TrainTestCheck.conditions_decision(result)	Run conditions on given result.
TrainTestCheck.config([include_version, ...])	Return check configuration (conditions' configuration not yet supported).
TrainTestCheck.from_config(conf[, ...])	Return check object from a CheckConfig object.
TrainTestCheck.from_json(conf[, version_unmatch])	Deserialize check instance from JSON string.
TrainTestCheck.initialize_run(context)	Initialize run before starting updating on batches.
TrainTestCheck.metadata([with_doc_link])	Return check metadata.
TrainTestCheck.name()	Name of class in split camel case.
TrainTestCheck.params([show_defaults])	Return parameters to show when printing the check.
TrainTestCheck.remove_condition(index)	Remove given condition by index.
TrainTestCheck.run(train_dataset, test_dataset)	Run check.
TrainTestCheck.to_json([indent, ...])	Serialize check instance to JSON string.
TrainTestCheck.update(context, batch, ...)	Update internal check state with given batch for either train or test.

previous

SingleDatasetCheck.update

next

TrainTestCheck.add_condition