MultiModelPerformanceReport

class MultiModelPerformanceReport

Summarize performance scores for multiple models on test datasets.

Parameters

scorers: Union[Mapping[str, Union[str, Callable]], List[str]], default: None

Scorers to override the default scorers, find more about the supported formats at https://docs.deepchecks.com/stable/user-guide/general/metrics_guide.html

alternative_scorersDict[str, Callable] , default: None

Deprecated, please use scorers instead.

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__(scorers: Optional[Union[Mapping[str, Union[str, Callable]], List[str]]] = None, alternative_scorers: Optional[Dict[str, Callable]] = None, n_samples: int = 1000000, random_state: int = 42, **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 instance config.
MultiModelPerformanceReport.from_config(conf)	Return check object from a CheckConfig object.
MultiModelPerformanceReport.from_json(conf)	Deserialize check instance from JSON string.
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.
MultiModelPerformanceReport.to_json([...])	Serialize check instance to JSON string.

Examples

Multi Model Performance Report

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ModelInfo.to_json

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MultiModelPerformanceReport.add_condition