data_check
=======================================

.. py:module:: evalml.data_checks.data_check

.. autoapi-nested-parse::

   Base class for all data checks.



Module Contents
---------------

Classes Summary
~~~~~~~~~~~~~~~

.. autoapisummary::

   evalml.data_checks.data_check.DataCheck





Contents
~~~~~~~~~~~~~~~~~~~
.. py:class:: DataCheck



   Base class for all data checks.

   Data checks are a set of heuristics used to determine if there are
   problems with input data.




   **Methods**

   .. autoapisummary::
      :nosignatures:

      evalml.data_checks.data_check.DataCheck.name
      evalml.data_checks.data_check.DataCheck.validate

   .. py:method:: name(cls)

      Return a name describing the data check.


   .. py:method:: validate(self, X, y=None)
      :abstractmethod:

      Inspect and validate the input data, runs any necessary calculations or algorithms, and returns a list of warnings and errors if applicable.

      :param X: The input data of shape [n_samples, n_features]
      :type X: pd.DataFrame
      :param y: The target data of length [n_samples]
      :type y: pd.Series, optional

      :returns: Dictionary of DataCheckError and DataCheckWarning messages
      :rtype: dict (DataCheckMessage)