MultiModelPerformanceReport#
- class MultiModelPerformanceReport[source]#
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)[source]#
- __new__(*args, **kwargs)#
Methods
Add new condition function to the check. |
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Remove all conditions from this check instance. |
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Run conditions on given result. |
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Return check instance config. |
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Return check object from a CheckConfig object. |
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Deserialize check instance from JSON string. |
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Return check metadata. |
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Name of class in split camel case. |
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Return parameters to show when printing the check. |
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Remove given condition by index. |
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Initialize context and pass to check logic. |
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Run check logic. |
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Serialize check instance to JSON string. |
