data_checks#
A collection of data checks.
Module Contents#
Classes Summary#
A collection of data checks. |
Contents#
- class evalml.data_checks.data_checks.DataChecks(data_checks=None, data_check_params=None)[source]#
A collection of data checks.
- Parameters
data_checks (list (DataCheck)) – List of DataCheck objects.
data_check_params (dict) – Parameters for passed DataCheck objects.
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)[source]#
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