Relief-based feature selection algorithms
Project description
A sklearn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms.
Contact
If you have any questions or comments about skrebate, please feel free to contact us via e-mail: rso@randalolson.com and ryanurb@upenn.edu
This project is hosted at https://github.com/EpistasisLab/scikit-rebate
Project details
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.
Source Distribution
skrebate-0.62.tar.gz
(19.8 kB
view details)
File details
Details for the file skrebate-0.62.tar.gz
.
File metadata
- Download URL: skrebate-0.62.tar.gz
- Upload date:
- Size: 19.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/44.1.0 requests-toolbelt/0.9.1 tqdm/4.44.0 CPython/2.7.16
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | b20dad4dc52f650e1f7960151314840f34251222cae0a78ac23d9f6d377ca558 |
|
MD5 | 42e78b071704c193fb07d9cbfd22480f |
|
BLAKE2b-256 | ee041fa0073d145cc38e1396ef21e8c6be998d152555c64d1d54db9ce8e2c62c |