Metadata-Version: 2.1
Name: PBFS
Version: 1.0.5
Summary: Performance Based Feature selection Technique: Prototype
Home-page: https://github.com/hongzhu6129/HidenFeatures
Author: Hong Zhu
Author-email: p0072431@brookes.ac.uk
Maintainer: Movin Fernandes
Maintainer-email: movin.fernandes@hotmail.com
License: MIT
Keywords: Feature selection,Machine learning,Feature engineering,Performance based,open source
Description-Content-Type: text/markdown
License-File: LICENSE.txt

This is a prototype Feature Selection library.

The library has functions which predict the effect of features on ML models based on pre-trained ML models. 
Library owners: Movin Fernandes, Hong ZHU.

This was created as a part of Dissertation project for MSc Data Analytics alongside Research.


CHANGE LOG For Performance based Feature Selection Technique


===========================================================================================================================

1.0.0 -- First Release to PYPI

1.0.0.1 --  Bug fixes, path fixes.

1.0.0.2 --  Bug fixes, path fixes.

1.0.2 --  bug fixes for users to use the function call

1.0.3 --  path fixes for users to use the function call

1.0.4 --  path fixes

1.0.5 --  path fixes v2
