[package]
name = "ppca"
version = "0.3.1"
edition = "2021"
authors = ["Pedro Bittencourt Arruda <pedrobittencourt3@gmail.com>"]
description = "Rust implementation of the Probabilistic Principal Component Analysis model"
readme = "./readme.md"
homepage = "https://github.com/findHotel/ppca_rs"
repository = "https://github.com/findHotel/ppca_rs"
license-file = "./license"
keywords = [
"data-science",
"machine-learning",
"pca",
"dimension-reduction",
"missing-values",
]
categories = ["algorithms", "data-structures", "mathematics"]
[dependencies]
approx = "0.5.1"
bit-vec = "0.6.3"
nalgebra = { version = "0.31.2", features = ["serde-serialize"] }
rand = "0.8.5"
rand_distr = "0.4.3"
rayon = "1.5.3"
ndarray = "0.15.6"
serde = "1.0.147"
serde_derive = "1.0.147"
ordered-float = "3.4.0"