MultiModelPerformanceReport

class MultiModelPerformanceReport

Summarize performance scores for multiple models on test datasets.

Parameters

alternative_scorersDict[str, Callable] , default: None

An optional dictionary of scorer name to scorer functions. If none given, using default scorers

__init__(alternative_scorers: Optional[Dict[str, Callable]] = None)

__new__(*args, **kwargs)

Methods

MultiModelPerformanceReport.add_condition(...)	Add new condition function to the check.
MultiModelPerformanceReport.clean_conditions()	Remove all conditions from this check instance.
MultiModelPerformanceReport.conditions_decision(result)	Run conditions on given result.
MultiModelPerformanceReport.name()	Name of class in split camel case.
MultiModelPerformanceReport.params([...])	Return parameters to show when printing the check.
MultiModelPerformanceReport.remove_condition(index)	Remove given condition by index.
MultiModelPerformanceReport.run(...)	Initialize context and pass to check logic.
MultiModelPerformanceReport.run_logic(...)	Run check logic.

Example

MultiModelPerformanceReport Example Notebook

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RegressionErrorDistribution.run_logic

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MultiModelPerformanceReport.add_condition