De-correlated feature selection via recursion.

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for daniel-furman from gravatar.com daniel-furman

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: Daniel Ryan Furman
  • Tags feature-selection, multicollinearity
Classifiers

Project description

See documentation at https://github.com/daniel-furman/RecFeatureSelect

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for daniel-furman from gravatar.com daniel-furman

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: Daniel Ryan Furman
  • Tags feature-selection, multicollinearity
Classifiers

Release history Release notifications | RSS feed

This version

0.3.1

0.3

0.2

0.1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

RecFeatureSelect-0.3.1.tar.gz (3.9 kB view details)

Uploaded Source

Built Distribution

RecFeatureSelect-0.3.1-py3-none-any.whl (4.2 kB view details)

Uploaded Python 3

File details

Details for the file RecFeatureSelect-0.3.1.tar.gz.

File metadata

  • Download URL: RecFeatureSelect-0.3.1.tar.gz
  • Upload date:
  • Size: 3.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.0 requests/2.24.0 requests-toolbelt/0.9.1 tqdm/4.35.0 CPython/3.6.8

File hashes

Hashes for RecFeatureSelect-0.3.1.tar.gz
Algorithm Hash digest
SHA256 2921c98d34179d6efcb72a9764f3dc5efea16743d4b9341ed9f9eb6bd3300441
MD5 bdfdb1b6133cba05b6d8cb9385862a7c
BLAKE2b-256 53bee8c4b1ef80e0b72a76e5e27411c05e6da28f2f303b7b034d2a02541f85a4

See more details on using hashes here.

File details

Details for the file RecFeatureSelect-0.3.1-py3-none-any.whl.

File metadata

  • Download URL: RecFeatureSelect-0.3.1-py3-none-any.whl
  • Upload date:
  • Size: 4.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.0 requests/2.24.0 requests-toolbelt/0.9.1 tqdm/4.35.0 CPython/3.6.8

File hashes

Hashes for RecFeatureSelect-0.3.1-py3-none-any.whl
Algorithm Hash digest
SHA256 4e70b07cb91c44c39d206012687c71dffac272af1c81cbe972eafc7ed805b6a7
MD5 c3926cb53620b4aa7f26948a938c6af3
BLAKE2b-256 51d95a0302d6fe019b8653399a335c31034f80d87b0d5588beb57b7840c12354

See more details on using hashes here.

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