Tangram Tree

This crate is documented using rustdoc. View the docs for the most recent version at https://docs.rs/tangram_tree or run cargo doc -p tangram_tree --open in the root of this repository.

lib.rs:

This crate implements machine learning models for regression and classification using ensembles of decision trees. It has many similarities to LightGBM, XGBoost, and others, but is written in pure Rust.

For an example of regression, see benchmarks/boston.rs.rs. For an example of binary classification, see benchmarks/heart_disease.rs. For an example of multiclass classification, see benchmarks/iris.rs`.