CalibrationScore

class CalibrationScore

Calculate the calibration curve with brier score for each class.

Parameters

n_samplesint , default: 1_000_000

number of samples to use for this check.

random_stateint, default: 42

random seed for all check internals.

__init__(n_samples: int = 1000000, random_state: int = 42, **kwargs)

__new__(*args, **kwargs)

Methods

CalibrationScore.add_condition(name, ...)	Add new condition function to the check.
CalibrationScore.clean_conditions()	Remove all conditions from this check instance.
CalibrationScore.conditions_decision(result)	Run conditions on given result.
CalibrationScore.config([include_version, ...])	Return check configuration (conditions' configuration not yet supported).
CalibrationScore.from_config(conf[, ...])	Return check object from a CheckConfig object.
CalibrationScore.from_json(conf[, ...])	Deserialize check instance from JSON string.
CalibrationScore.metadata([with_doc_link])	Return check metadata.
CalibrationScore.name()	Name of class in split camel case.
CalibrationScore.params([show_defaults])	Return parameters to show when printing the check.
CalibrationScore.remove_condition(index)	Remove given condition by index.
CalibrationScore.run(dataset[, model, ...])	Run check.
CalibrationScore.run_logic(context, dataset_kind)	Run check.
CalibrationScore.to_json([indent, ...])	Serialize check instance to JSON string.

Examples

Calibration Score

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BoostingOverfit.to_json

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CalibrationScore.add_condition