[[bench]]
name = "performance_regression"
path = "benches/performance_regression.rs"
[dependencies.approx]
version = "0.5"
[dependencies.num_cpus]
version = "1.17"
[dependencies.rayon]
optional = true
version = "1.11"
[dependencies.scirs2-core]
default-features = false
features = ["random", "linalg"]
version = "0.1.1"
[dependencies.scirs2-linalg]
default-features = false
version = "0.1.1"
[dependencies.scirs2-optimize]
default-features = false
version = "0.1.1"
[dependencies.scirs2-stats]
default-features = false
version = "0.1.1"
[dependencies.serde]
features = ["derive"]
optional = true
version = "1.0"
[dependencies.serde_json]
optional = true
version = "1.0"
[dependencies.sklears-core]
version = "0.1.0-beta.1"
[dependencies.thiserror]
version = "2.0"
[dev-dependencies.criterion]
version = "0.5"
[dev-dependencies.proptest]
version = "1.7"
[features]
default = ["std"]
parallel = ["rayon"]
serde = ["dep:serde", "dep:serde_json", "sklears-core/serde"]
std = ["sklears-core/std"]
[lib]
name = "sklears_preprocessing"
path = "src/lib.rs"
[package]
authors = ["COOLJAPAN OU (Team KitaSan)"]
autobenches = false
autobins = false
autoexamples = false
autolib = false
autotests = false
build = false
categories = ["science", "mathematics"]
description = "Data preprocessing for sklears: scaling, encoding, imputation, transformations"
edition = "2021"
homepage = "https://github.com/cool-japan/sklears"
keywords = ["machine-learning", "preprocessing", "scaling", "encoding"]
license = "MIT OR Apache-2.0"
name = "sklears-preprocessing"
readme = "README.md"
repository = "https://github.com/cool-japan/sklears"
rust-version = "1.70"
version = "0.1.0-beta.1"
[[test]]
name = "numerical_stability_tests"
path = "tests/numerical_stability_tests.rs"
[[test]]
name = "property_tests"
path = "tests/property_tests.rs"
[[test]]
name = "round_trip_tests"
path = "tests/round_trip_tests.rs"