PBFS

Name	PBFS JSON
Version	2.0.0 JSON
	download
home_page	https://github.com/hongzhu6129/HidenFeatures
Summary	Performance Based Feature selection Technique: Prototype
upload_time	2023-09-27 12:31:39
maintainer	Movin Fernandes
docs_url	None
author	Movin Fernandes, Prof. Hong Zhu
requires_python
license	MIT
keywords	feature selection machine learning feature engineering performance based open source
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            This is a PBFS (Performance-Based 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


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

Latest Changes

/\

||        2.0.0 --  Latest update - Consists of updates to descriptions, python code, metadata.

||        1.0.8 --  bug fixes

||        1.0.7 --  path fixes v4

||        1.0.6 --  path fixes v3

||        1.0.5 --  path fixes v2

||        1.0.4 --  path fixes

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

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

||        1.0.0.2 --  Bug fixes, path fixes.

||        1.0.0.1 --  Bug fixes, path fixes.

||        1.0.0 -- First Release to PYPI

/\

Oldest changes




            

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