DateTrainTestLeakageDuplicates#

class DateTrainTestLeakageDuplicates[source]#

Check if test dates are present in train data.

Parameters
n_to_showint , default: 5

Number of common dates 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

DateTrainTestLeakageDuplicates.add_condition(...)

Add new condition function to the check.

DateTrainTestLeakageDuplicates.add_condition_leakage_ratio_less_or_equal([...])

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

DateTrainTestLeakageDuplicates.clean_conditions()

Remove all conditions from this check instance.

DateTrainTestLeakageDuplicates.conditions_decision(result)

Run conditions on given result.

DateTrainTestLeakageDuplicates.config([...])

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

DateTrainTestLeakageDuplicates.from_config(conf)

Return check object from a CheckConfig object.

DateTrainTestLeakageDuplicates.from_json(conf)

Deserialize check instance from JSON string.

DateTrainTestLeakageDuplicates.metadata([...])

Return check metadata.

DateTrainTestLeakageDuplicates.name()

Name of class in split camel case.

DateTrainTestLeakageDuplicates.params([...])

Return parameters to show when printing the check.

DateTrainTestLeakageDuplicates.remove_condition(index)

Remove given condition by index.

DateTrainTestLeakageDuplicates.run(...[, ...])

Run check.

DateTrainTestLeakageDuplicates.run_logic(context)

Run check.

DateTrainTestLeakageDuplicates.to_json([indent])

Serialize check instance to JSON string.

Examples#