ConfusionMatrixReport

class ConfusionMatrixReport

Calculate the confusion matrix of the model on the given dataset.

Parameters

normalized (bool, default True):

boolean that determines whether to normalize the true values of the matrix.

__init__(normalized: bool = True, **kwargs)

__new__(*args, **kwargs)

Methods

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

Examples

Confusion Matrix Report

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CalibrationScore.run_logic

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ConfusionMatrixReport.add_condition