[[bench]]
harness = false
name = "vectorizer_bench"
[[bench]]
harness = false
name = "linear_scaler_bench"
[[bench]]
harness = false
name = "whitening_bench"
[dependencies.approx]
version = "0.4"
[dependencies.encoding]
version = "0.2"
[dependencies.linfa]
version = "0.7.0"
[dependencies.linfa-linalg]
default-features = false
version = "0.1"
[dependencies.ndarray]
features = ["approx"]
version = "0.15"
[dependencies.ndarray-linalg]
optional = true
version = "0.15"
[dependencies.ndarray-rand]
version = "0.14"
[dependencies.ndarray-stats]
version = "0.5"
[dependencies.regex]
version = "1.4.5"
[dependencies.serde_crate]
default-features = false
features = ["std", "derive"]
optional = true
package = "serde"
version = "1.0"
[dependencies.serde_regex]
optional = true
version = "1.1"
[dependencies.sprs]
default-features = false
version = "0.11.0"
[dependencies.thiserror]
version = "1.0"
[dependencies.unicode-normalization]
version = "0.1.8"
[dev-dependencies.curl]
version = "0.4.35"
[dev-dependencies.flate2]
version = "1.0.20"
[dev-dependencies.iai]
version = "0.1"
[dev-dependencies.linfa-bayes]
version = "0.7.0"
[dev-dependencies.linfa-datasets]
features = ["diabetes", "winequality"]
version = "0.7.0"
[dev-dependencies.tar]
version = "0.4.33"
[features]
blas = ["ndarray-linalg", "linfa/ndarray-linalg"]
serde = ["serde_crate", "ndarray/serde", "serde_regex"]
[package]
authors = ["Sauro98 <ivadonadi98@gmail.com>"]
categories = ["algorithms", "mathematics", "science"]
description = "A Machine Learning framework for Rust"
edition = "2018"
keywords = ["machine-learning", "linfa", "ai", "ml", "preprocessing"]
license = "MIT OR Apache-2.0"
name = "linfa-preprocessing"
readme = "README.md"
repository = "https://github.com/rust-ml/linfa"
version = "0.7.0"