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JOSS: https://github.com/scikit-learn-contrib/forest-confidence-interval

Score: 20.284523575288926

Last synced: about 21 hours ago
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Repository metadata:

Confidence intervals for scikit-learn forest algorithms


Owner metadata:


GitHub Events

Total
Last Year

Committers metadata

Last synced: 2 days ago

Total Commits: 276
Total Committers: 20
Avg Commits per committer: 13.8
Development Distribution Score (DDS): 0.58

Commits in past year: 9
Committers in past year: 3
Avg Commits per committer in past year: 3.0
Development Distribution Score (DDS) in past year: 0.222

Name Email Commits
arokem a****m@g****m 116
kpolimis k****s@g****m 101
Daniele Ongari d****i@g****m 19
Ab2nour 6****r 7
Vighnesh Birodkar v****r@n****u 5
Adam Richie-Halford r****d@g****m 4
adamwlev a****4@m****m 4
Dominik Waurenschk d****k@p****e 3
Cedric Wagner c****r@r****e 3
Ludvig Hult l****t@i****e 3
MartinUrban M****o@g****m 2
Arfon Smith a****n 1
Boyuan Deng b****g@g****m 1
Eric Ma e****g@g****m 1
Jeong-Yoon Lee j****1@g****m 1
Max Ghenis m****s@g****m 1
dependabot[bot] 4****] 1
owlas o****t@s****k 1
Lei Ma l****a@s****m 1
traims p****s@g****m 1

Issue and Pull Request metadata

Last synced: 8 days ago

Total issues: 54
Total pull requests: 62
Average time to close issues: over 1 year
Average time to close pull requests: 3 months
Total issue authors: 40
Total pull request authors: 19
Average comments per issue: 2.69
Average comments per pull request: 1.06
Merged pull request: 55
Bot issues: 0
Bot pull requests: 1

Past year issues: 2
Past year pull requests: 3
Past year average time to close issues: about 2 months
Past year average time to close pull requests: about 2 months
Past year issue authors: 2
Past year pull request authors: 3
Past year average comments per issue: 0.5
Past year average comments per pull request: 0.0
Past year merged pull request: 3
Past year bot issues: 0
Past year bot pull requests: 1

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/scikit-learn-contrib/forest-confidence-interval

Top Issue Authors

  • DannyArends (10)
  • ericmjl (4)
  • tawe141 (2)
  • chahakmehta (2)
  • jeongyoonlee (1)
  • stasSajin (1)
  • JIAZHEN (1)
  • sq5rix (1)
  • BSharmi (1)
  • miranov25 (1)
  • joachimder (1)
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  • richford (1)

Top Pull Request Authors

  • arokem (20)
  • kpolimis (13)
  • Ab2nour (6)
  • danieleongari (5)
  • owlas (3)
  • el-hult (2)
  • hzhao16 (1)
  • adamwlev (1)
  • ericmjl (1)
  • emptymalei (1)
  • richford (1)
  • dependabot[bot] (1)
  • arfon (1)
  • cewaphi (1)
  • MartinUrban (1)

Top Issue Labels

Top Pull Request Labels

  • dependencies (1)
  • python (1)

Package metadata

pypi.org: forestci

Confidence intervals for scikit-learn forest algorithms

  • Homepage:
  • Documentation: https://contrib.scikit-learn.org/forest-confidence-interval/
  • Licenses: MIT
  • Latest release: 0.5.1 (published about 5 years ago)
  • Last Synced: 2026-08-12T02:01:38.554Z (2 days ago)
  • Versions: 11
  • Dependent Packages: 4
  • Dependent Repositories: 39
  • Downloads: 110,318 Last month
  • Docker Downloads: 48
  • Rankings:
    • Downloads: 1.789%
    • Dependent packages count: 1.871%
    • Dependent repos count: 2.34%
    • Average: 3.236%
    • Docker downloads count: 3.513%
    • Stargazers count: 3.813%
    • Forks count: 6.089%
  • Maintainers (3)
conda-forge.org: forestci

a Python module for calculating variance and adding confidence intervals to scikit-learn random forest regression or classification objects. The core functions calculate an in-bag and error bars for random forest objects

  • Homepage: https://github.com/scikit-learn-contrib/forest-confidence-interval
  • Licenses: MIT
  • Latest release: 0.3 (published almost 4 years ago)
  • Last Synced: 2026-04-01T03:21:33.849Z (4 months ago)
  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Rankings:
    • Stargazers count: 22.96%
    • Dependent repos count: 24.392%
    • Forks count: 26.558%
    • Average: 31.376%
    • Dependent packages count: 51.594%

Dependencies

pyproject.toml pypi
  • numpy >=1.20
  • scikit-learn >=1.0,<2.0
  • scipy *
.github/workflows/docbuild.yml actions
  • JamesIves/github-pages-deploy-action releases/v3 composite
  • actions/checkout v1 composite
  • actions/setup-python v1 composite
  • actions/upload-artifact v1 composite
.github/workflows/pythonpackage.yml actions
  • actions/checkout v1 composite
  • actions/setup-python v1 composite