WholeDatasetDrift#
- class WholeDatasetDrift[source]#
Calculate drift between the entire train and test datasets using a model trained to distinguish between them.
Deprecated since version 0.9: The WholeDatasetDrift check is deprecated and will be removed in the 0.11 version. Please use the MultivariateDrift check instead.
- __init__(n_top_columns: int = 3, min_feature_importance: float = 0.05, max_num_categories_for_display: int = 10, show_categories_by: str = 'largest_difference', sample_size: int = 10000, random_state: int = 42, test_size: float = 0.3, min_meaningful_drift_score: float = 0.05, **kwargs)[source]#
- __new__(*args, **kwargs)#
Methods
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Add new condition function to the check. |
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Add condition. |
Remove all conditions from this check instance. |
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Run conditions on given result. |
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Return check configuration (conditions' configuration not yet supported). |
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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. |
Name of class in split camel case. |
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Return parameters to show when printing the check. |
Remove given condition by index. |
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Run check. |
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Run check. |
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Serialize check instance to JSON string. |