evalml.data_checks.NoVarianceDataCheck.__init__¶
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NoVarianceDataCheck.__init__(count_nan_as_value=False)[source]¶ 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.