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.