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fracridge

Fractional ridge regression

https://github.com/nrdg/fracridge

Science Score: 67.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 2 DOI reference(s) in README
  • ✓
    Academic publication links
    Links to: zenodo.org
  • ✓
    Committers with academic emails
    1 of 4 committers (25.0%) from academic institutions
  • ✓
    Institutional organization owner
    Organization nrdg has institutional domain (neuroinformatics.uw.edu)
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (8.1%) to scientific vocabulary
Last synced: 6 months ago · JSON representation

Repository

Fractional ridge regression

Basic Info
Statistics
  • Stars: 48
  • Watchers: 4
  • Forks: 13
  • Open Issues: 4
  • Releases: 9
Created almost 6 years ago · Last pushed almost 4 years ago
Metadata Files
Readme Changelog Contributing License Zenodo

README.md

fracridge

DOI

Is an implementation of fractional ridge regression (FRR).

Installation:

MATLAB

Download and copy the files from https://github.com/nrdg/fracridge/tree/master/matlab into your MATLAB path.

Python

To install the release version:

pip install fracridge

Or to install the development version (and stay up-to-date by pulling from GitHub):

pip install -e .

To upgrade to newer release version:

pip install -U fracridge

Usage

MATLAB

[coef,alphas] = fracridge(X,fracs,y,tol,mode)

Python

There's a functional API:

from fracridge import fracridge
coefs, alphas = fracridge(X, y, fracs)

Or a sklearn-compatible OO API:

from fracridge import FracRidge
fr = FracRridge(fracs=fracs)
fr.fit(X, y)
coefs = fr.coef_
alphas = fr.alpha_

Online documentation

https://nrdg.github.io/fracridge/

How to cite

If you use fracridge, please cite our paper: "Fractional ridge regression: a fast, interpretable reparameterization of ridge regression" (2020) GigaScience, Volume 9, Issue 12, December 2020, https://doi.org/10.1093/gigascience/giaa133 link.

For your convenience, here is the bibtex entry

```

@ARTICLE{fracridge2020, title = "Fractional ridge regression: a fast, interpretable reparameterization of ridge regression", author = "Rokem, Ariel and Kay, Kendrick", journal = "Gigascience", volume = 9, number = 12, month = nov, year = 2020 }

```

Owner

  • Name: NRDG
  • Login: nrdg
  • Kind: organization
  • Location: The University of Washington, Seattle

Neuroinformatics Research and Development Group

GitHub Events

Total
  • Watch event: 6
  • Fork event: 1
Last Year
  • Watch event: 6
  • Fork event: 1

Committers

Last synced: almost 3 years ago

All Time
  • Total Commits: 213
  • Total Committers: 4
  • Avg Commits per committer: 53.25
  • Development Distribution Score (DDS): 0.117
Top Committers
Name Email Commits
Ariel Rokem a****m@g****m 188
Kendrick Kay k****k@p****u 19
Tal Golan g****l@g****m 5
Hannes Hansen m****l@h****e 1
Committer Domains (Top 20 + Academic)
hannesh.de: 1 post.harvard.edu: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 17
  • Total pull requests: 24
  • Average time to close issues: about 1 month
  • Average time to close pull requests: 18 days
  • Total issue authors: 9
  • Total pull request authors: 4
  • Average comments per issue: 3.71
  • Average comments per pull request: 1.0
  • Merged pull requests: 21
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • kendrickkay (3)
  • arokem (3)
  • iancharest (2)
  • Tal-Golan (2)
  • hahahannes (2)
  • oliver-contier (2)
  • wandell (1)
  • grez72 (1)
Pull Request Authors
  • arokem (21)
  • iancharest (1)
  • Tal-Golan (1)
  • hahahannes (1)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 241 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 2
  • Total versions: 17
  • Total maintainers: 1
pypi.org: fracridge

Fractional Ridge Regression

  • Versions: 17
  • Dependent Packages: 0
  • Dependent Repositories: 2
  • Downloads: 241 Last month
Rankings
Dependent packages count: 10.1%
Stargazers count: 10.3%
Forks count: 10.5%
Dependent repos count: 11.5%
Average: 12.2%
Downloads: 18.7%
Maintainers (1)
arokem
Last synced: 6 months ago