zillow / quantile-forest
Fast, scikit-learn-compatible quantile regression forests for prediction intervals and uncertainty estimation.
Why this job: works in the areas we cover, but does not say which job it does
What it does
A quantile forest is fit like a scikit-learn regressor, and predicts any quantiles of the target without being fit again. For example, to predict the median and a 95% prediction interval:
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit today
- Stars
- 256
- On GitHub
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v1.5.0
- Released 5 days ago
- Built with
- Python
- 78% of the code
Is it looked after?
- Contributors
- 4
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 172 merged
- 0 waiting
- Releases
- 29
- 2 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 78%
- Cython 20%
- TeX 2%
Topics
- python
- machine-learning
- random-forest
- quantile-regression
- quantile-regression-forests
- scikit-learn-api
- uncertainty-estimation
- prediction-intervals
- conformal-prediction
- multi-target-regression
- regression
- scikit-learn
Project record
- JobOther AI tools
- StatusListed
- Commits539
- Forks35
- Watching7
- Stars in 28 days+1
- CreatedMar 23, 2022
- First seen by usNov 7, 2026
- CheckedNov 12, 2026