[package]
name = "linfa-elasticnet"
version = "0.3.1"
authors = [
"Paul Körbitz / Google <koerbitz@google.com>",
"Lorenz Schmidt <bytesnake@mailbox.org>"
]
description = "A Machine Learning framework for Rust"
edition = "2018"
license = "MIT/Apache-2.0"
repository = "https://github.com/rust-ml/linfa"
readme = "README.md"
keywords = ["machine-learning", "linfa", "ai", "ml", "linear"]
categories = ["algorithms", "mathematics", "science"]
[features]
default = []
serde = ["serde_crate", "ndarray/serde"]
[dependencies.serde_crate]
package = "serde"
optional = true
version = "1.0"
default-features = false
features = ["std", "derive"]
[dependencies]
ndarray = {version = "0.13", features = ["blas", "approx"]}
ndarray-linalg = "0.12"
num-traits = "0.2"
approx = "0.3.2"
thiserror = "1"
linfa = { version = "0.3.1", path = "../.." }
[dev-dependencies]
linfa-datasets = { version = "0.3.1", path = "../../datasets", features = ["diabetes"] }
ndarray-rand = "0.11"
rand_isaac = "0.2"