RegressionSystematicError

class RegressionSystematicError

Check the regression systematic error.

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

RegressionSystematicError.add_condition(...)	Add new condition function to the check.
RegressionSystematicError.add_condition_systematic_error_ratio_to_rmse_less_than([...])	Add condition - require the absolute mean systematic error is less than (max_ratio * RMSE).
RegressionSystematicError.clean_conditions()	Remove all conditions from this check instance.
RegressionSystematicError.conditions_decision(result)	Run conditions on given result.
RegressionSystematicError.config([...])	Return check configuration (conditions' configuration not yet supported).
RegressionSystematicError.from_config(conf)	Return check object from a CheckConfig object.
RegressionSystematicError.from_json(conf[, ...])	Deserialize check instance from JSON string.
RegressionSystematicError.metadata([...])	Return check metadata.
RegressionSystematicError.name()	Name of class in split camel case.
RegressionSystematicError.params([show_defaults])	Return parameters to show when printing the check.
RegressionSystematicError.remove_condition(index)	Remove given condition by index.
RegressionSystematicError.run(dataset[, ...])	Run check.
RegressionSystematicError.run_logic(context, ...)	Run check.
RegressionSystematicError.to_json([indent, ...])	Serialize check instance to JSON string.

Examples

Regression Systematic Error

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RegressionErrorDistribution.to_json

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RegressionSystematicError.add_condition