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JOSS: https://github.com/zillow/quantile-forest

machine-learning prediction-intervals python quantile-regression quantile-regression-forests random-forest scikit-learn-api uncertainty-estimation

Score: 18.329645573261185

Last synced: about 4 hours ago
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Repository metadata:

Quantile Regression Forests compatible with scikit-learn.


Owner metadata:


GitHub Events

Total
Last Year

Committers metadata

Last synced: 1 day ago

Total Commits: 422
Total Committers: 5
Avg Commits per committer: 84.4
Development Distribution Score (DDS): 0.142

Commits in past year: 47
Committers in past year: 4
Avg Commits per committer in past year: 11.75
Development Distribution Score (DDS) in past year: 0.468

Name Email Commits
Reid Johnson r****j@z****m 362
dependabot[bot] 4****] 57
bezineb5 b****b@l****t 1
Max Ghenis m****s@g****m 1
CarpeFridiem b****1@g****m 1

Issue and Pull Request metadata

Last synced: 1 day ago

Total issues: 24
Total pull requests: 187
Average time to close issues: 11 days
Average time to close pull requests: 5 days
Total issue authors: 21
Total pull request authors: 5
Average comments per issue: 2.75
Average comments per pull request: 0.57
Merged pull request: 156
Bot issues: 1
Bot pull requests: 90

Past year issues: 1
Past year pull requests: 34
Past year average time to close issues: about 1 month
Past year average time to close pull requests: 13 days
Past year issue authors: 1
Past year pull request authors: 4
Past year average comments per issue: 3.0
Past year average comments per pull request: 0.41
Past year merged pull request: 21
Past year bot issues: 0
Past year bot pull requests: 25

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/zillow/quantile-forest

Top Issue Authors

  • felix7602 (3)
  • brentonmallen1 (2)
  • w1ll1a9m (1)
  • jncraton (1)
  • yzhang3000 (1)
  • TamaraAtanasoska (1)
  • HuashiSCNU0303 (1)
  • dependabot[bot] (1)
  • qinhaohcen (1)
  • VajiraL (1)
  • vascomedici (1)
  • adrinjalali (1)
  • t-reents (1)
  • jmaddalena (1)
  • brdeleeuw (1)

Top Pull Request Authors

  • reidjohnson (94)
  • dependabot[bot] (90)
  • brentonmallen1 (1)
  • MaxGhenis (1)
  • bezineb5 (1)

Top Issue Labels

  • dependencies (1)

Top Pull Request Labels

  • dependencies (90)
  • github_actions (37)

Package metadata

nixpkgs-unstable: python313Packages.quantile-forest

Quantile Regression Forests compatible with scikit-learn

proxy.golang.org: github.com/zillow/quantile-forest

pypi.org: quantile-forest

Quantile regression forests compatible with scikit-learn.

  • Homepage:
  • Documentation: https://zillow.github.io/quantile-forest
  • Licenses: Apache-2.0
  • Latest release: 1.4.2 (published about 2 months ago)
  • Last Synced: 2026-08-12T23:38:10.684Z (1 day ago)
  • Versions: 28
  • Dependent Packages: 2
  • Dependent Repositories: 2
  • Downloads: 71,320 Last month
  • Rankings:
    • Downloads: 3.417%
    • Dependent packages count: 4.714%
    • Average: 7.781%
    • Stargazers count: 8.636%
    • Forks count: 10.523%
    • Dependent repos count: 11.614%
  • Maintainers (2)
nixpkgs-24.05: python312Packages.quantile-forest

Quantile Regression Forests compatible with scikit-learn

nixpkgs-24.11: python311Packages.quantile-forest

Quantile Regression Forests compatible with scikit-learn

nixpkgs-unstable: python314Packages.quantile-forest

Quantile Regression Forests compatible with scikit-learn

nixpkgs-24.11: python312Packages.quantile-forest

Quantile Regression Forests compatible with scikit-learn

nixpkgs-24.05: python311Packages.quantile-forest

Quantile Regression Forests compatible with scikit-learn


Dependencies

docs/sphinx_requirements.txt pypi
  • matplotlib *
  • numpydoc *
  • sphinx *
  • sphinx_gallery *
  • sphinx_rtd_theme *
  • sphinxcontrib.bibtex *
requirements.txt pypi
  • cython >=3.0a4
  • numpy *
  • scikit-learn >=1.0
  • scipy *