[package]
name = "ml-hyperopt"
version.workspace = true
edition.workspace = true
rust-version.workspace = true
authors.workspace = true
license.workspace = true
repository.workspace = true
homepage.workspace = true
documentation.workspace = true
publish.workspace = true
keywords.workspace = true
categories.workspace = true
description = "ML hyperparameter optimization — PSO, TPE, campaigns, sensitivity analysis"

[features]
default = ["cuda"]
cuda = ["ml-core/cuda"]

[dependencies]
ml-core = { path = "../ml-core", default-features = false }
common.workspace = true
serde = { workspace = true, features = ["derive"] }
serde_json.workspace = true
chrono.workspace = true
tracing.workspace = true
anyhow.workspace = true
rand.workspace = true
rand_distr.workspace = true
ndarray = { workspace = true, features = ["rayon"] }
rayon.workspace = true
statrs.workspace = true
argmin = { version = "0.8", features = ["rayon"] }
argmin-math = "0.3"

[dev-dependencies]
tokio = { workspace = true, features = ["test-util", "macros"] }
rand_chacha = "0.3"
approx = "0.5"

[lints]
workspace = true