sklears-ensemble 0.1.0-beta.1

Ensemble methods for sklears: Random Forest, Gradient Boosting, AdaBoost
Documentation 
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[dependencies.half]
version = "2.4"

[dependencies.rayon]
optional = true
version = "1.11"

[dependencies.scirs2-core]
default-features = false
features = ["random", "linalg"]
version = "0.1.1"

[dependencies.serde]
features = ["derive"]
optional = true
version = "1.0"

[dependencies.sklears-core]
version = "0.1.0-beta.1"

[dependencies.sklears-utils]
version = "0.1.0-beta.1"

[dependencies.thiserror]
version = "2.0"

[dev-dependencies.approx]
version = "0.5"

[dev-dependencies.criterion]
version = "0.5"

[dev-dependencies.proptest]
version = "1.7"

[[example]]
name = "adaboost_samme_comparison"
path = "examples/adaboost_samme_comparison.rs"

[features]
default = ["std"]
nightly = []
parallel = ["rayon"]
serde = ["dep:serde", "sklears-core/serde"]
simd = []
std = ["sklears-core/std"]

[lib]
name = "sklears_ensemble"
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", "algorithms"]
description = "Ensemble methods for sklears: Random Forest, Gradient Boosting, AdaBoost"
edition = "2021"
homepage = "https://github.com/cool-japan/sklears"
keywords = ["machine-learning", "ensemble", "random-forest", "gradient-boosting"]
license = "MIT OR Apache-2.0"
name = "sklears-ensemble"
readme = "README.md"
repository = "https://github.com/cool-japan/sklears"
rust-version = "1.70"
version = "0.1.0-beta.1"