semvec/pypi-packages huggingface dataset:
pynumeca 0.0.43
Python interface to Numera family software
License: MIT
Requires Python: >=3.9,<3.12

# PyNumeca
[![Python application](https://github.com/GitMarco27/PyNumeca/actions/workflows/python-app.yml/badge.svg)](https://github.com/GitMarco27/PyNumeca/actions/workflows/python-app.yml)

Python interface to Numera family software
PBFS 2.0.0
Performance Based Feature selection Technique: Prototype
License: MIT
Keywords: Feature selection,Machine learning,Feature engineering,Performance based,open source

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.

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CHANGE LOG For Performance based Feature Selection Technique


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Latest Changes

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||        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

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Oldest changes