hessboost 0.1.0

A faithful, fast, pure-Rust reimplementation of XGBoost gradient boosting
Documentation 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15

//! Top-level orchestration: the boosting loop, the trained model, prediction,
//! and feature importance.

mod cv;
pub(crate) mod model;
mod shap;
mod train;

pub use cv::{CvResult, cv};
pub(crate) use model::LinearModel;
pub use model::{BoostedModel, ImportanceType};
pub use train::{
    EvalSet, RoundEval, TrainResult, train, train_with_custom_metric, train_with_eval,
    train_with_objective,
};