[dependencies.nalgebra]
version = "0.33.2"
[dependencies.ndarray]
features = ["rayon"]
version = "0.16.1"
[dependencies.ndarray-rand]
version = "0.15.0"
[dependencies.rand]
version = "0.9.1"
[dependencies.rand_distr]
version = "0.5.1"
[dependencies.rayon]
version = "1.10.0"
[dependencies.statrs]
version = "0.18.0"
[dev-dependencies.approx]
version = "0.5.1"
[lib]
name = "rustyml"
path = "src/lib.rs"
[package]
authors = ["SomeB1oody <stanyin64@gmail.com>"]
autobenches = false
autobins = false
autoexamples = false
autolib = false
autotests = false
build = false
categories = ["mathematics", "science", "algorithms"]
description = "A high-performance machine learning library in pure Rust, offering statistical utilities, ML algorithms, and future support for neural networks and transformer architectures."
edition = "2024"
homepage = "https://github.com/SomeB1oody/RustyML"
keywords = ["machine-learning", "ML", "Deep-learning", "DL", "AI"]
license = "MIT"
name = "rustyml"
readme = "README.md"
repository = "https://github.com/SomeB1oody/RustyML"
version = "0.6.0"