IdentifierLabelCorrelation#
- class IdentifierLabelCorrelation[source]#
Check if identifiers (Index/Date) can be used to predict the label.
- Parameters
- ppscore_paramsany , default: None
dictionary containing params to pass to ppscore predictor
- n_samplesint , default: 1_000_000
number of samples to use for this check.
- random_stateint, default: 42
random seed for all check internals.
- __new__(*args, **kwargs)#
Methods
Add new condition function to the check. |
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Add condition - require columns' pps to be less or equal to threshold. |
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. |
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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Run check. |
Run check. |
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Serialize check instance to JSON string. |