[package]
name = "sparseglm"
version = "0.1.0"
authors = ["Pierre-Antoine Bannier <pierreantoine.bannier@gmail.com>"]
edition = "2021"
license-file = "LICENSE"
description = "Fast memory-efficient solver for sparse generalized linear models"
repository = "https://github.com/PABannier/sparseglm"
readme = "README.md"
keywords = ["machine", "learning", "data", "linear"]
categories = ["science"]
exclude = ["/.github"]

[dependencies]
ndarray = { version = "0.15", default-features = false, features = ["approx"] }
ndarray-linalg = { version = "0.14", optional = true }
ndarray-stats = "0.5.0"

num-traits = "0.2"
approx = "0.4"

rand = { version = "0.8", features = ["small_rng"] }
rand_distr = "0.4.2"

thiserror = "1.0"

[dev-dependencies]
criterion = "0.3"
linfa = "0.6.0"

[workspace]
members = ["python/"]

[[bench]]
name = "bench_lasso"
harness = false