jinlow/forust
A lightweight gradient boosted decision tree package.
This tool helps data analysts, data scientists, and machine learning engineers build predictive models. You provide a dataset with various features and a target outcome (like customer churn or product defects), and it generates a model that can predict that outcome for new, unseen data. It produces a trained model that can output predictions or insights into feature importance.
Use this if you need to build a robust predictive model using gradient boosted decision trees for classification or regression tasks, and you value a lightweight, performant solution.
Not ideal if your primary goal is deep neural network research or if you require a massively distributed training framework for extremely large datasets.
Stars
85
Forks
9
Language
Rust
License
Apache-2.0
Category
Last pushed
Mar 02, 2026
Commits (30d)
0
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