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mord: Ordinal Regression in Python
===================================
mord is a Python package that implements some ordinal regression methods following the scikit-learn API.
.. image:: ordinal_1.png
:align: center
What is ordinal regression ?
-----------------------------
Ordinal Regression denotes a family of statistical learning methods in which the goal is to predict a variable which is discrete and ordered. For example, predicting the movie rating on a scale of 1 to 5 starts can be considered an ordinal regression task.
In this package we provide different models for the ordinal regression task. We categorize them between :ref:`threshold-based`, :ref:`regression-based` and :ref:`classification-based`.
.. _threshold-based:
Threshold-based models
----------------------
* :class:`mord.LogisticIT`
* :class:`mord.LogisticAT`
.. _regression-based:
Regression-based models
-----------------------
* :class:`mord.OrdinalRidge`
* :class:`mord.LAD`
.. _classification-based:
Classification-based models
---------------------------
* :class:`mord.MulticlassLogistic`
Citing
======
If you find this software useful, please consider citing:
`Fabian Pedregosa-Izquierdo. Feature extraction and supervised learning on fMRI: from practice to theory. PhD thesis. `_
Indices and tables
==================
* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`