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A lightweight gradient boosted decision tree package.

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I tried the pure rust code example and I get these error running the code this is the code `use forust_ml::{GradientBooster, Matrix}; use polars::prelude::*; use reqwest::blocking::Client; use std::error::Error; use std::io::Cursor;...

I found that forust is the only crate in pure rust for xgboost. I've got some models trained in xgboost. It will be very convenient if forust can support xgboost-format-compatible...

Hi, have you ever thought about using [rug::Float](https://docs.rs/rug/latest/rug/index.html) type instead of hard coding with `f32` or `f64` in order to let people that use your crate to have arbitrary precision...