data_checks
========================================

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

.. autoapi-nested-parse::

   A collection of data checks.



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

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

.. autoapisummary::

   evalml.data_checks.data_checks.DataChecks





Contents
~~~~~~~~~~~~~~~~~~~
.. py:class:: DataChecks(data_checks=None, data_check_params=None)

   A collection of data checks.

   :param data_checks: List of DataCheck objects.
   :type data_checks: list (DataCheck)
   :param data_check_params: Parameters for passed DataCheck objects.
   :type data_check_params: dict




   **Methods**

   .. autoapisummary::
      :nosignatures:

      evalml.data_checks.data_checks.DataChecks.validate

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

      Inspect and validate the input data against data checks 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, np.ndarray
      :param y: The target data of length [n_samples]
      :type y: pd.Series, np.ndarray

      :returns: Dictionary containing DataCheckMessage objects
      :rtype: dict