data_check#
Base class for all data checks.
Module Contents#
Contents#
- class evalml.data_checks.data_check.DataCheck[source]#
- Base class for all data checks. - Data checks are a set of heuristics used to determine if there are problems with input data. - Methods - Return a name describing the data check. - Inspect and validate the input data, runs any necessary calculations or algorithms, and returns a list of warnings and errors if applicable. - name(cls)#
- Return a name describing the data check. 
 - abstract validate(self, X, y=None)[source]#
- Inspect and validate the input data, runs any necessary calculations or algorithms, and returns a list of warnings and errors if applicable. - Parameters
- X (pd.DataFrame) – The input data of shape [n_samples, n_features] 
- y (pd.Series, optional) – The target data of length [n_samples] 
 
- Returns
- Dictionary of DataCheckError and DataCheckWarning messages 
- Return type
- dict (DataCheckMessage)