hessboost 0.2.2

Fast, deterministic gradient boosting (GBDT) in Rust: conformal intervals, explainable boosting machines, distributional boosting, tree-based diffusion, and XGBoost model interchange
Documentation
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//! Datasets: the [`DMatrix`] container, the [`MetaInfo`] view objectives and
//! metrics read, the libsvm/CSV loaders, and the opt-in [`target_stats`]
//! encoder for categorical columns.

mod dmatrix;
pub(crate) mod ghist;
mod loaders;
mod meta;
pub(crate) mod quantile;
mod sketch;
mod sort;
pub mod target_stats;

pub use dmatrix::DMatrix;
pub(crate) use dmatrix::is_missing;
pub use loaders::{CsvOptions, load_csv, load_libsvm, read_csv, read_libsvm};
pub use meta::{FeatureType, GroupInfo, LabelBounds, Labels, MetaInfo};