lightgbm3 is based on lightgbm crate
(which is unsupported by now), but it is not back-compatible with it.
cargo add lightgbm3Since lightgbm3 compiles LightGBM from source, you also need to install development libraries:
apt install -y cmake clang libclang-dev libc++-dev gcc-multilib
brew install cmake
brew install libomp # only required if you compile with "openmp" feature
- Install CMake and VS Build Tools.
- Install LLVM and set
LIBCLANG_PATHenvironment variable (i.e.C:\Program Files\LLVM\bin)
Please see below for details.
use lightgbm3::{Dataset, Booster};
use serde_json::json;
let features = vec![vec![1.0, 0.1, 0.2],
vec![0.7, 0.4, 0.5],
vec![0.9, 0.8, 0.5],
vec![0.2, 0.2, 0.8],
vec![0.1, 0.7, 1.0]];
let labels = vec![0.0, 0.0, 0.0, 1.0, 1.0];
let dataset = Dataset::from_vec_of_vec(features, labels, true).unwrap();
let params = json!{
{
"num_iterations": 10,
"objective": "binary",
"metric": "auc",
}
};
let bst = Booster::train(dataset, ¶ms).unwrap();
bst.save_file("path/to/model.lgb").unwrap();use lightgbm3::{Dataset, Booster};
let bst = Booster::from_file("path/to/model.lgb").unwrap();
let features = vec![1.0, 2.0, -5.0];
let n_features = features.len();
let y_pred = bst.predict_with_params(&features, n_features as i32, true, "num_threads=1").unwrap()[0];Look in the ./examples/ folder for more details:
lightgbm3 supports the following features:
polarsfor polars supportopenmpfor multi-processing supportgpufor GPU supportcudafor CUDA support
cargo bench
Add --features=openmp, --features=gpu and --features=cuda appropriately.
git clone --recursive https://github.com/Mottl/lightgbm3-rs.git
Great respect to vaaaaanquish for the LightGBM Rust package, which unfortunately no longer supported.
Much reference was made to implementation and documentation. Thanks.