Multifactor Dimensionality Reduction (MDR)
Project description
A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.
Contact
If you have any questions or comments about scikit-MDR, please feel free to contact us via:
E-mail: rso@randalolson.com
or Twitter: https://twitter.com/randal_olson
This project is hosted at https://github.com/EpistasisLab/scikit-mdr
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
scikit-MDR-0.4.5.tar.gz
(13.0 kB
view details)
Built Distribution
File details
Details for the file scikit-MDR-0.4.5.tar.gz
.
File metadata
- Download URL: scikit-MDR-0.4.5.tar.gz
- Upload date:
- Size: 13.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.17
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 05b9a6a7835b0362866ae3c64fbe94535b9f91e6f2ebfd596a424622627aa03b |
|
MD5 | 57b046f85201ff1e8e12a098e28c3d98 |
|
BLAKE2b-256 | 6b5910319986797afdada6041c14e530d07dde000c89f9eae48958c3e780144f |
Provenance
File details
Details for the file scikit_MDR-0.4.5-py3-none-any.whl
.
File metadata
- Download URL: scikit_MDR-0.4.5-py3-none-any.whl
- Upload date:
- Size: 15.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.17
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9261a0a68fff658edbd14719bdfac5e5518f30a58dd11f380b7d88a50af8b854 |
|
MD5 | 8b24b84e400a6baa083158ceefdfb485 |
|
BLAKE2b-256 | 4453e770cc5d19b8025632a779529c6e2b6d37eeaec7200e27d4a62a426d68d0 |