.. image:: pyeco.png
    :height: 20
    :alt: Economie
    :target: http://www.xavierdupre.fr/app/ensae_teaching_cs/helpsphinx/td_2a_notions.html#pour-un-profil-plutot-economiste

.. image:: pystat.png
    :height: 20
    :alt: Statistique
    :target: http://www.xavierdupre.fr/app/ensae_teaching_cs/helpsphinx/td_2a_notions.html#pour-un-profil-plutot-data-scientist

.. _l-td2a-hyperparametre:

Optimisation des hyperparamètres
++++++++++++++++++++++++++++++++

(*à venir*)

*Lectures*

* `Algorithms for Hyper-Parameter Optimization <https://papers.nips.cc/paper/4443-algorithms-for-hyper-parameter-optimization.pdf>`_
* `Fine-tuning XGBoost in Python like a boss <https://towardsdatascience.com/fine-tuning-xgboost-in-python-like-a-boss-b4543ed8b1e>`_
* `An Introductory Example of Bayesian Optimization in Python with Hyperopt <https://towardsdatascience.com/an-introductory-example-of-bayesian-optimization-in-python-with-hyperopt-aae40fff4ff0>`_

*Modules*

* `scikit-learn <http://scikit-learn.org/>`_
* `scikit-optimize <https://scikit-optimize.github.io/stable/index.html>`_
* `hyperopt <https://github.com/hyperopt/hyperopt>`_
* `RayTune <http://ray.readthedocs.io/en/latest/tune.html>`_
* `auto-sklearn <https://github.com/automl/auto-sklearn/>`_
* `hyperband <https://github.com/zygmuntz/hyperband>`_
* `orion <https://github.com/epistimio/orion>`_