rgf ☆
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Description:
Regularized Greedy Forest library
Type: Formula  |  Tracked Since: Dec 28, 2025
Links: Homepage  |  formulae.brew.sh
Category: Ai ml
Tags: machine-learning ml rgf gradient-boosting data-science
Install: brew install rgf
About:
Rgf is a machine learning library that implements Regularized Greedy Forest (RGF) algorithms. It provides an efficient and scalable solution for training gradient boosting models on decision trees. The library offers high predictive accuracy often surpassing traditional gradient boosting implementations.
Key Features:
  • Optimal linear combination of forest structure
  • Automatic feature selection and handling of missing values
  • Available as a Python package and command-line tool
  • Handles large datasets efficiently
Use Cases:
  • High-stakes predictive modeling competitions
  • Enterprise-grade classification and regression tasks
  • Machine learning research requiring robust tree-based models
Alternatives:
  • XGBoost – XGBoost is more widely adopted and faster, while RGF often achieves slightly better accuracy on tabular data
  • LightGBM – LightGBM excels in training speed, whereas RGF focuses on model regularization and structure
Version History
Detected Version Rev Change Commit
Sep 15, 2025 1:05pm 0 VERSION_BUMP 7d4baaca
Sep 14, 2024 6:24am 0 VERSION_BUMP 638615e8
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