Python Feature Selection library from ITMO University.
Project description
.. -*- mode: rst -*-
.. image:: docs/logos/itmo_small_white_eng.png
:scale: 10 %
:target: https://en.itmo.ru/
ITMO_FS
=======
Feature selection library in Python
Package information: |Python 2.7| |Python 3.6| |License| |Docs| |CodeCov|
Install with
::
pip install ITMO_FS
Current available algorithms:
+--------------------------------------+------------------------------+-----------------+----------+-----------------+
| Filters | Wrappers | Hybrid | Embedded | Ensembles |
+======================================+==============================+=================+==========+=================+
| Spearman correlation | Add Del | Filter Wrapper | MOSNS | MeLiF |
+--------------------------------------+------------------------------+-----------------+----------+-----------------+
| Pearson correlation | Backward selection | | MOSS | Best goes first |
+--------------------------------------+------------------------------+-----------------+----------+-----------------+
| Fit Criterion | Sequential Forward Selection | | RFE | Best sum |
+--------------------------------------+------------------------------+-----------------+----------+-----------------+
| F ratio | QPFS | | | |
+--------------------------------------+------------------------------+-----------------+----------+-----------------+
| Gini index | Hill climbing | | | |
+--------------------------------------+------------------------------+-----------------+----------+-----------------+
| Information Gain | | | | |
+--------------------------------------+------------------------------+-----------------+----------+-----------------+
| Minimum Redundancy Maximum Relevance | | | | |
+--------------------------------------+------------------------------+-----------------+----------+-----------------+
| VDM | | | | |
+--------------------------------------+------------------------------+-----------------+----------+-----------------+
| QPFS | | | | |
+--------------------------------------+------------------------------+-----------------+----------+-----------------+
| MIMAGA | | | | |
+--------------------------------------+------------------------------+-----------------+----------+-----------------+
Documentation:
https://itmo-fs.readthedocs.io/en/latest/
.. |Python 2.7| image:: https://img.shields.io/badge/python-2.7-blue.svg
.. |Python 3.6| image:: https://img.shields.io/badge/python-3.6-blue.svg
.. |License| image:: https://img.shields.io/badge/license-BSD%20License-blue.svg
.. |Docs| image:: https://readthedocs.org/projects/itmo-fs/badge/?version=latest
.. |CodeCov| image:: https://codecov.io/gh/ctlab/ITMO_FS/branch/master/graph/badge.svg
:target: https://codecov.io/gh/ctlab/ITMO_FS
.. image:: docs/logos/itmo_small_white_eng.png
:scale: 10 %
:target: https://en.itmo.ru/
ITMO_FS
=======
Feature selection library in Python
Package information: |Python 2.7| |Python 3.6| |License| |Docs| |CodeCov|
Install with
::
pip install ITMO_FS
Current available algorithms:
+--------------------------------------+------------------------------+-----------------+----------+-----------------+
| Filters | Wrappers | Hybrid | Embedded | Ensembles |
+======================================+==============================+=================+==========+=================+
| Spearman correlation | Add Del | Filter Wrapper | MOSNS | MeLiF |
+--------------------------------------+------------------------------+-----------------+----------+-----------------+
| Pearson correlation | Backward selection | | MOSS | Best goes first |
+--------------------------------------+------------------------------+-----------------+----------+-----------------+
| Fit Criterion | Sequential Forward Selection | | RFE | Best sum |
+--------------------------------------+------------------------------+-----------------+----------+-----------------+
| F ratio | QPFS | | | |
+--------------------------------------+------------------------------+-----------------+----------+-----------------+
| Gini index | Hill climbing | | | |
+--------------------------------------+------------------------------+-----------------+----------+-----------------+
| Information Gain | | | | |
+--------------------------------------+------------------------------+-----------------+----------+-----------------+
| Minimum Redundancy Maximum Relevance | | | | |
+--------------------------------------+------------------------------+-----------------+----------+-----------------+
| VDM | | | | |
+--------------------------------------+------------------------------+-----------------+----------+-----------------+
| QPFS | | | | |
+--------------------------------------+------------------------------+-----------------+----------+-----------------+
| MIMAGA | | | | |
+--------------------------------------+------------------------------+-----------------+----------+-----------------+
Documentation:
https://itmo-fs.readthedocs.io/en/latest/
.. |Python 2.7| image:: https://img.shields.io/badge/python-2.7-blue.svg
.. |Python 3.6| image:: https://img.shields.io/badge/python-3.6-blue.svg
.. |License| image:: https://img.shields.io/badge/license-BSD%20License-blue.svg
.. |Docs| image:: https://readthedocs.org/projects/itmo-fs/badge/?version=latest
.. |CodeCov| image:: https://codecov.io/gh/ctlab/ITMO_FS/branch/master/graph/badge.svg
:target: https://codecov.io/gh/ctlab/ITMO_FS
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