problem_types
============================================

.. py:module:: evalml.problem_types.problem_types

.. autoapi-nested-parse::

   Enum defining the supported types of machine learning problems.



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

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

.. autoapisummary::

   evalml.problem_types.problem_types.ProblemTypes





Contents
~~~~~~~~~~~~~~~~~~~
.. py:class:: ProblemTypes



   Enum defining the supported types of machine learning problems.


   **Attributes**

   .. list-table::
      :widths: 15 85
      :header-rows: 0

      * - **BINARY**
        - Binary classification problem.
      * - **MULTICLASS**
        - Multiclass classification problem.
      * - **MULTISERIES_TIME_SERIES_REGRESSION**
        - Multiseries time series regression problem.
      * - **REGRESSION**
        - Regression problem.
      * - **TIME_SERIES_BINARY**
        - Time series binary classification problem.
      * - **TIME_SERIES_MULTICLASS**
        - Time series multiclass classification problem.
      * - **TIME_SERIES_REGRESSION**
        - Time series regression problem.


   **Methods**

   .. autoapisummary::
      :nosignatures:

      evalml.problem_types.problem_types.ProblemTypes.all_problem_types
      evalml.problem_types.problem_types.ProblemTypes.name
      evalml.problem_types.problem_types.ProblemTypes.value

   .. py:method:: all_problem_types(cls)

      Get a list of all defined problem types.

      :returns: List of all defined problem types.
      :rtype: list(ProblemTypes)


   .. py:method:: name(self)

      The name of the Enum member.


   .. py:method:: value(self)

      The value of the Enum member.