[dependencies.approx]
version = "0.4"
[dependencies.criterion]
optional = true
version = "0.4.0"
[dependencies.ndarray]
features = ["approx"]
version = "0.15"
[dependencies.ndarray-linalg]
optional = true
version = "0.15"
[dependencies.num-traits]
version = "0.2"
[dependencies.rand]
features = ["small_rng"]
version = "0.8"
[dependencies.serde_crate]
default-features = false
features = ["std", "derive"]
optional = true
package = "serde"
version = "1.0"
[dependencies.sprs]
default-features = false
version = "0.11"
[dependencies.thiserror]
version = "1.0"
[dev-dependencies.ndarray-rand]
version = "0.14"
[dev-dependencies.statrs]
version = "0.16.0"
[features]
benchmarks = ["criterion", "pprof"]
blas = ["ndarray/blas"]
default = []
intel-mkl-static = ["blas", "ndarray-linalg/intel-mkl-static"]
intel-mkl-system = ["blas", "ndarray-linalg/intel-mkl-system"]
netlib-static = ["blas", "ndarray-linalg/netlib-static"]
netlib-system = ["blas", "ndarray-linalg/netlib-system"]
openblas-static = ["blas", "ndarray-linalg/openblas-static"]
openblas-system = ["blas", "ndarray-linalg/openblas-system"]
serde = ["serde_crate", "ndarray/serde"]
[package]
authors = ["Luca Palmieri <rust@lpalmieri.com>", "Lorenz Schmidt <bytesnake@mailbox.org>", "Paul Körbitz <koerbitz@google.com>", "Yuhan Lin <yuhanliin@protonmail.com>"]
categories = ["algorithms", "mathematics", "science"]
description = "A Machine Learning framework for Rust"
edition = "2018"
exclude = [".github/"]
keywords = ["machine-learning", "linfa", "ai", "ml"]
license = "MIT OR Apache-2.0"
name = "linfa"
readme = "README.md"
repository = "https://github.com/rust-ml/linfa"
version = "0.7.0"
[profile.release]
opt-level = 3
[target."cfg(not(windows))".dependencies.pprof]
features = ["flamegraph", "criterion"]
optional = true
version = "0.11.0"