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)