data_check¶
Base class for all data checks.
Module Contents¶
Contents¶
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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.
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name(cls)¶ Return a name describing the data check.
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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)
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