IndexTrainTestLeakage#

class IndexTrainTestLeakage[source]#

Check if test indexes are present in train data.

Parameters
n_to_showint , default: 5

Number of samples with same indices in train and test to show.

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_to_show: int = 5, n_samples: int = 10000000, random_state: int = 42, **kwargs)[source]#
__new__(*args, **kwargs)#

Methods

IndexTrainTestLeakage.add_condition(name, ...)

Add new condition function to the check.

IndexTrainTestLeakage.add_condition_ratio_less_or_equal([...])

Add condition - require index leakage ratio to be less or equal to threshold.

IndexTrainTestLeakage.clean_conditions()

Remove all conditions from this check instance.

IndexTrainTestLeakage.conditions_decision(result)

Run conditions on given result.

IndexTrainTestLeakage.config([...])

Return check configuration (conditions' configuration not yet supported).

IndexTrainTestLeakage.from_config(conf[, ...])

Return check object from a CheckConfig object.

IndexTrainTestLeakage.from_json(conf[, ...])

Deserialize check instance from JSON string.

IndexTrainTestLeakage.metadata([with_doc_link])

Return check metadata.

IndexTrainTestLeakage.name()

Name of class in split camel case.

IndexTrainTestLeakage.params([show_defaults])

Return parameters to show when printing the check.

IndexTrainTestLeakage.remove_condition(index)

Remove given condition by index.

IndexTrainTestLeakage.run(train_dataset, ...)

Run check.

IndexTrainTestLeakage.run_logic(context)

Run check.

IndexTrainTestLeakage.to_json([indent, ...])

Serialize check instance to JSON string.