rustyml 0.7.0

A high-performance machine learning & deep learning library in pure Rust, offering statistical utilities, ML algorithms, and future support for transformer architectures.
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[dependencies.ahash]
optional = true
version = "0.8.12"

[dependencies.nalgebra]
optional = true
version = "0.34.0"

[dependencies.ndarray]
features = ["rayon"]
optional = true
version = "0.16.1"

[dependencies.ndarray-rand]
optional = true
version = "0.15.0"

[dependencies.rand]
optional = true
version = "0.9.2"

[dependencies.rand_distr]
optional = true
version = "0.5.1"

[dependencies.rayon]
optional = true
version = "1.11.0"

[dependencies.statrs]
optional = true
version = "0.18.0"

[dev-dependencies.approx]
version = "0.5.1"

[features]
dataset = ["dep:ndarray"]
default = []
full = ["default", "dataset", "machine_learning", "neural_network", "utility", "math", "metric"]
machine_learning = ["math", "utility", "dep:ndarray", "dep:rayon", "dep:ahash"]
math = ["dep:ndarray", "dep:ahash"]
metric = ["dep:ndarray", "dep:ahash", "dep:statrs"]
neural_network = ["dep:ndarray", "dep:rayon", "dep:rand_distr", "dep:ndarray-rand", "dep:rand", "dep:statrs"]
utility = ["math", "dep:ndarray", "dep:rand", "dep:nalgebra", "dep:rayon", "dep:rand_distr", "dep:ahash"]

[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 & deep learning library in pure Rust, offering statistical utilities, ML algorithms, and future support for transformer architectures."
edition = "2024"
keywords = ["machine-learning", "ML", "Deep-learning", "DL", "AI"]
license = "MIT"
name = "rustyml"
readme = "README.md"
repository = "https://github.com/SomeB1oody/RustyML"
rust-version = "1.85.0"
version = "0.7.0"

[package.metadata.docs.rs]
features = ["full"]
rustdoc-args = ["--cfg", "docsrs"]