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[package]
edition = "2021"
name = "ppca"
version = "0.5.0"
authors = ["Pedro Bittencourt Arruda <pedrobittencourt3@gmail.com>"]
build = false
autobins = false
autoexamples = false
autotests = false
autobenches = false
description = "Rust implementation of the Probabilistic Principal Component Analysis model"
homepage = "https://github.com/findHotel/ppca_rs"
readme = "readme.md"
keywords = [
    "data-science",
    "machine-learning",
    "pca",
    "dimension-reduction",
    "missing-values",
]
categories = [
    "algorithms",
    "data-structures",
    "mathematics",
]
license-file = "license"
repository = "https://github.com/findHotel/ppca_rs"

[lib]
name = "ppca"
path = "src/lib.rs"

[dependencies.approx]
version = "0.5.1"

[dependencies.bit-vec]
version = "0.6.3"
features = ["serde"]

[dependencies.nalgebra]
version = "0.32.2"
features = ["serde-serialize"]

[dependencies.ndarray]
version = "0.15.6"

[dependencies.ordered-float]
version = "3.6.0"

[dependencies.rand]
version = "0.8.5"

[dependencies.rand_distr]
version = "0.4.3"

[dependencies.rayon]
version = "1.7.0"

[dependencies.serde]
version = "1.0.160"
features = ["rc"]

[dependencies.serde_derive]
version = "1.0.160"