:py:mod:`ForeTiS.model.xgboost`
===============================

.. py:module:: ForeTiS.model.xgboost


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

Classes
~~~~~~~

.. autoapisummary::

   ForeTiS.model.xgboost.XgBoost




.. py:class:: XgBoost(optuna_trial, datasets, featureset_name, pca_transform, target_column, optimize_featureset)

   Bases: :py:obj:`ForeTiS.model._sklearn_model.SklearnModel`

   Implementation of a class for XGBoost.

   See :obj:`~ForeTiS.model._base_model.BaseModel` for more information on the attributes.

   .. py:method:: define_model()

      Definition of the actual prediction model.

      See :obj:`~ForeTiS.model._base_model.BaseModel` for more information.


   .. py:method:: define_hyperparams_to_tune()

      See :obj:`~ForeTiS.model._base_model.BaseModel` for more information on the format.