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, **kwargs)

__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.config()	Return check configuration (conditions' configuration not yet supported).
MultiModelPerformanceReport.from_config(conf)	Return check object from a CheckConfig object.
MultiModelPerformanceReport.metadata([...])	Return check metadata.
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.

Examples

Multi Model Performance Report

previous

ModelInfo.run_logic

next

MultiModelPerformanceReport.add_condition