Performance Based Feature selection Technique: Prototype
Project description
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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
