Skip to main content

A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.

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


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-0.2.tar.gz (4.6 kB view details)

Uploaded Source

File details

Details for the file scikit-MDR-0.2.tar.gz.

File metadata

  • Download URL: scikit-MDR-0.2.tar.gz
  • Upload date:
  • Size: 4.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for scikit-MDR-0.2.tar.gz
Algorithm Hash digest
SHA256 1ea5c0ff1b323c39641c151c67874f7534808674aab2f82659e4f3d40e6ade9a
MD5 4f6bdb82d704124818817380eb554a31
BLAKE2b-256 c3e0e02e7a755f12bbf45fece0f51c01b7ee8ba6c48d6c9866fe7cc78034604b

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page