davechallis/rust-xgboost
Rust bindings for XGBoost.
This is a low-level library for Rust developers who need to integrate the powerful XGBoost machine learning algorithm into their applications. It allows Rust programs to input structured datasets and output highly accurate predictive models for classification and regression tasks. Developers building performant data-driven applications in Rust will find this useful.
122 stars. No commits in the last 6 months.
Use this if you are a Rust developer looking to leverage gradient boosting models directly within your Rust applications for tasks like fraud detection, churn prediction, or risk assessment.
Not ideal if you are not a Rust developer or if you need a high-level, ready-to-use machine learning tool rather than a programming library.
Stars
122
Forks
50
Language
Rust
License
MIT
Category
Last pushed
Apr 29, 2024
Commits (30d)
0
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