no_variance_data_check¶
Module Contents¶
Classes Summary¶
Check if the target or any of the features have no variance. |
Contents¶
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class
evalml.data_checks.no_variance_data_check.NoVarianceDataCheck(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. Additionally, if true, will return a DataCheckWarning instead of an error if the feature has mostly missing data and only one unique value. Defaults to False.
Methods
Returns a name describing the data check.
Check if the target or any of the features have no variance (1 unique value).
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name(cls)¶ Returns a name describing the data check.
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validate(self, X, y)[source]¶ Check if the target or any of the features have no variance (1 unique value).
- Parameters
X (pd.DataFrame, np.ndarray) – The input features.
y (pd.Series, np.ndarray) – The target data.
- Returns
dict of warnings/errors corresponding to features or target with no variance.
- Return type
dict