pyepo.twostage.autosklearnpred
==============================

.. py:module:: pyepo.twostage.autosklearnpred

.. autoapi-nested-parse::

   Two-stage model with auto-sklearn predictor



Classes
-------

.. autoapisummary::

   pyepo.twostage.autosklearnpred.NoPreprocessing


Functions
---------

.. autoapisummary::

   pyepo.twostage.autosklearnpred.autoSklearnPred


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

.. py:class:: NoPreprocessing(**kwargs)

   Bases: :py:obj:`autosklearn.pipeline.components.base.AutoSklearnPreprocessingAlgorithm`


   This is class of NoPreprocessing component for auto-sklearn


   .. py:method:: fit(X, Y=None)


   .. py:method:: transform(X)


   .. py:method:: get_properties(dataset_properties=None)
      :staticmethod:



   .. py:method:: get_hyperparameter_search_space(dataset_properties=None)
      :staticmethod:



.. py:function:: autoSklearnPred(optmodel: pyepo.model.opt.optModel, seed: int, timelimit: int, metric: str = 'mse') -> autosklearn.regression.AutoSklearnRegressor

   Two-stage prediction and optimization with auto-sklearn.

   :param optmodel: optimization model
   :param seed: random seed for reproducibility
   :param timelimit: time limit in seconds for auto-sklearn search
   :param metric: evaluation metric, "mse" or "regret"

   :returns: Auto-sklearn multi-output regression model
   :rtype: AutoSklearnRegressor