evalml.data_checks.MulticollinearityDataCheck.validate¶

MulticollinearityDataCheck.validate(X, y=None)[source]¶

Check if any set of features are likely to be multicollinear.

Parameters: X (pd.DataFrame, np.ndarray) – The input features to check
Returns: dict with a DataCheckWarning if there are any potentially multicollinear columns.
Return type: dict

evalml.data_checks.MulticollinearityDataCheck.__init__ evalml.data_checks.DateTimeNaNDataCheck