rgf
Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one written in C++, along with various language-specific wrappers.
Science Score: 23.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
○codemeta.json file
-
○.zenodo.json file
-
✓DOI references
Found 3 DOI reference(s) in README -
✓Academic publication links
Links to: arxiv.org, zenodo.org -
○Committers with academic emails
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (11.7%) to scientific vocabulary
Keywords
Keywords from Contributors
Repository
Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one written in C++, along with various language-specific wrappers.
Basic Info
Statistics
- Stars: 382
- Watchers: 17
- Forks: 58
- Open Issues: 9
- Releases: 0
Topics
Metadata Files
README.md
Regularized Greedy Forest
Regularized Greedy Forest (RGF) is a tree ensemble machine learning method described in this paper. RGF can deliver better results than gradient boosted decision trees (GBDT) on a number of datasets and it has been used to win a few Kaggle competitions. Unlike the traditional boosted decision tree approach, RGF works directly with the underlying forest structure. RGF integrates two ideas: one is to include tree-structured regularization into the learning formulation; and the other is to employ the fully-corrective regularized greedy algorithm.
This repository contains the following implementations of the RGF algorithm:
- RGF: original implementation from the paper;
- FastRGF: multi-core implementation with some simplifications;
- rgf_python: wrapper of both RGF and FastRGF implementations for Python;
- R package: wrapper of rgf_python for R.
You may want to get interesting information about RGF from the posts collected in Awesome RGF.
Owner
- Name: RGF-team
- Login: RGF-team
- Kind: organization
- Repositories: 1
- Profile: https://github.com/RGF-team
GitHub Events
Total
- Watch event: 7
Last Year
- Watch event: 7
Committers
Last synced: over 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| fukatani | n****a@g****m | 191 |
| Nikita Titov | n****8@m****u | 148 |
| Nikita Titov | n****2@h****m | 109 |
| Lampros Mouselimis | m****s@g****m | 10 |
| James Lamb | j****0@g****m | 7 |
| Eyad Sibai | e****i@g****m | 1 |
| nicknoproblems | n****0@g****m | 1 |
| Andrew Kane | a****1@g****m | 1 |
| Vadim Markovtsev | v****m@s****h | 1 |
| Sean Szurko | s****4 | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 22
- Total pull requests: 81
- Average time to close issues: 4 months
- Average time to close pull requests: 5 days
- Total issue authors: 13
- Total pull request authors: 6
- Average comments per issue: 8.23
- Average comments per pull request: 2.46
- Merged pull requests: 75
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 1
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- fukatani (4)
- jameslamb (4)
- StrikerRUS (3)
- similang (2)
- wangbingnan136 (1)
- tunguyen52 (1)
- yuanjie-ai (1)
- vsedelnik (1)
- albertnanda (1)
- galeese (1)
- casperkaae (1)
- bvphillips (1)
- scolemann (1)
Pull Request Authors
- StrikerRUS (61)
- fukatani (8)
- mlampros (7)
- ankane (2)
- jameslamb (2)
- b1nb1n88 (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 3
-
Total downloads:
- pypi 1,161 last-month
- cran 393 last-month
- Total docker downloads: 42,302
-
Total dependent packages: 1
(may contain duplicates) -
Total dependent repositories: 52
(may contain duplicates) - Total versions: 40
- Total maintainers: 3
pypi.org: rgf-python
Scikit-learn Wrapper for Regularized Greedy Forest
- Homepage: https://github.com/RGF-team/rgf/tree/master/python-package
- Documentation: https://rgf-python.readthedocs.io/
- License: MIT License
-
Latest release: 3.12.0
published about 4 years ago
Rankings
Maintainers (2)
cran.r-project.org: RGF
Regularized Greedy Forest
- Homepage: https://github.com/RGF-team/rgf/tree/master/R-package
- Documentation: http://cran.r-project.org/web/packages/RGF/RGF.pdf
- License: MIT + file LICENSE
-
Latest release: 1.1.1
published over 3 years ago
Rankings
Maintainers (1)
formulae.brew.sh: rgf
Regularized Greedy Forest library
- Homepage: https://github.com/RGF-team/rgf
- License: MIT
-
Latest release: 3.12.0
published almost 4 years ago
Rankings
Dependencies
- R >= 3.2.0 depends
- Matrix * imports
- R6 * imports
- reticulate * imports
- covr * suggests
- knitr * suggests
- rmarkdown * suggests
- testthat * suggests
- joblib *