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
1 maintainer
Release files for PBFS 2.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| PBFS-2.0.0.tar.gz | 13.5 MB | Details |
Release files / PBFS-2.0.0.tar.gz
| Download URL | PBFS-2.0.0.tar.gz |
|---|---|
| Size | 13.5 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
85e6bbce5e74ea5c7dfb6a198c2df4d39cd53373a9e4a450dd67f37e25318dc5
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BLAKE2b-256 checksum How to use checksums |
95e48a4d764dbed4a8e31e929925c862b050c02f21af54042b6540f5bd7bec87
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.10
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