utils¶
Utilities for data checks.
Module Contents¶
Classes Summary¶
An empty collection of data checks. |
Contents¶
-
class
evalml.data_checks.utils.EmptyDataChecks(data_checks=None)[source]¶ An empty collection of data checks.
- Parameters
data_checks (list (DataCheck)) – Ignored.
Methods
Inspect and validate the input data against data checks and returns a list of warnings and errors if applicable.
-
validate(self, X, y=None)¶ Inspect and validate the input data against data checks and returns a list of warnings and errors if applicable.
- Parameters
X (pd.DataFrame, np.ndarray) – The input data of shape [n_samples, n_features]
y (pd.Series, np.ndarray) – The target data of length [n_samples]
- Returns
Dictionary containing DataCheckMessage objects
- Return type
dict