xgboost_rs

Fast, pure Rust implementation of XGBoost with CPU and GPU acceleration.

Features

Pure Rust Engine: High-performance histogram-based decision tree growth (hist).
Support for Grow Policies: depthwise (depth-first level-by-level) and lossguide (leaf-wise best-first).
GPU Acceleration: Optional GPU backend via cubecl / Vulkan / CUDA.
Python Bindings: Ready for PyPI installation via maturin.

Installation

Rust Crate

Add to your Cargo.toml:

[dependencies]
xgboost_rs = { version = "0.1.0", default-features = false }

To enable GPU acceleration:

[dependencies]
xgboost_rs = { version = "0.1.0", features = ["gpu"] }

Python Package (PyPI)

pip install xgboost_rs

Quick Start (Rust)

use xgboost_rs::parameters::{TrainParam, GrowPolicy};

let param = TrainParam {
    max_depth: 6,
    grow_policy: GrowPolicy::DepthWise,
    ..Default::default()
};

License

Licensed under Apache License, Version 2.0 (LICENSE).

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xgboost-rs 0.1.0

xgboost_rs

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