evalml.data_checks.NoVarianceDataCheck.validate

NoVarianceDataCheck.validate(X, y)

Check if the target or any of the features have no variance (1 unique value).

Parameters

• X (ww.DataTable, pd.DataFrame, np.ndarray) – The input features.

• y (ww.DataColumn, pd.Series, np.ndarray) – The target data.

Returns

dict of warnings/errors corresponding to features or target with no variance.

Return type

dict

evalml.data_checks.NoVarianceDataCheck.__init__ evalml.data_checks.ClassImbalanceDataCheck