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Quantile machine learning models for python
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This module provides quantile machine learning models for python, in a plug-and-play fashion in the sklearn environment.
This means that practically the only dependency is sklearn and all its functionality is applicable to the here provided
models without code changes.

Two tutorials explain the development of Random Forest Quantile regression. The same results and considerations are valid for K-nearest neighbours quantile regression and Extra Trees quantile regression.

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Documentation
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.. toctree::
   :maxdepth: 2
   :caption: Getting Started

   installation

.. toctree::
   :maxdepth: 2
   :caption: Methods

   methods

.. toctree::
   :maxdepth: 2
   :caption: Tutorials

   notebooks/example_usage
   notebooks/example_qrf

.. toctree::
   :maxdepth: 2
   :caption: API Reference

   whats_new
   api


License
=======

sklearn_quantile is published under a BSD 3 clause license.


Indices and tables
==================

* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`