evalml.data_checks.NoVarianceDataCheck.__init__

NoVarianceDataCheck.__init__(count_nan_as_value=False)

Check if the target or any of the features have no variance.

Parameters

count_nan_as_value (bool) – If True, missing values will be counted as their own unique value. If set to True, a feature that has one unique value and all other data is missing, a DataCheckWarning will be returned instead of an error. Defaults to False.

evalml.data_checks.NoVarianceDataCheck evalml.data_checks.NoVarianceDataCheck.validate