concision 0.3.1

Concision is a toolkit for designing machine-learning models in Rust.
Documentation 
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[[bench]]
harness = false
name = "params"
path = "benches/params.rs"
required-features = ["approx", "rand", "std", "tracing"]

[dependencies.concision-core]
default-features = false
version = "0.3.1"

[dependencies.concision-data]
default-features = false
optional = true
version = "0.3.1"

[dependencies.concision-derive]
default-features = false
optional = true
version = "0.3.1"

[dependencies.concision-macros]
default-features = false
optional = true
version = "0.3.1"

[dev-dependencies.anyhow]
default-features = false
features = ["std"]
version = "1"

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

[dev-dependencies.criterion]
features = ["plotters"]
version = "0.8"

[dev-dependencies.ndarray]
default-features = false
version = "0.17"

[dev-dependencies.tracing]
default-features = false
features = ["attributes", "log", "attributes", "log", "std"]
version = "0.1"

[dev-dependencies.tracing-subscriber]
features = ["ansi", "env-filter", "fmt"]
version = "0.3"

[[example]]
name = "mnist"
path = "examples/mnist.rs"
required-features = ["full"]

[[example]]
name = "params"
path = "examples/params.rs"
required-features = ["default", "tracing"]

[[example]]
name = "simple"
path = "examples/simple.rs"
required-features = ["rand", "std", "tracing"]

[features]
alloc = ["concision-core/alloc", "concision-data?/alloc"]
approx = ["concision-core/approx", "concision-data?/approx"]
autodiff = ["concision-core/autodiff", "concision-data?/autodiff"]
blas = ["concision-core/blas", "concision-data?/blas"]
complex = ["concision-core/complex", "concision-data?/complex"]
data = ["dep:concision-data"]
default = ["data", "derive", "macros", "std"]
derive = ["dep:concision-derive"]
full = ["default", "approx", "rand", "serde", "tracing"]
intel-mkl-static = ["blas"]
intel-mkl-system = ["blas"]
json = ["concision-core/json", "concision-data?/json"]
macros = ["concision-core/macros", "dep:concision-macros"]
netlib-static = ["blas"]
netlib-system = ["blas"]
nightly = ["concision-core/nightly", "concision-data?/nightly"]
openblas-static = ["blas"]
openblas-system = ["blas"]
rand = ["concision-core/rand", "concision-data?/rand"]
rayon = ["concision-core/rayon", "concision-data?/rayon"]
rustfft = ["concision-core/rustfft"]
serde = ["concision-core/serde", "concision-data?/serde"]
serde_json = ["concision-core/serde_json", "concision-data?/serde_json"]
std = ["alloc", "concision-core/std", "concision-data?/std"]
tracing = ["concision-core/tracing", "concision-data?/tracing"]
wasi = ["concision-core/wasi", "concision-data?/wasi"]
wasm = ["concision-core/wasm", "concision-data?/wasm"]
wasm_bindgen = ["concision-core/wasm_bindgen", "concision-data?/wasm_bindgen"]

[lib]
name = "concision"
path = "lib.rs"

[package]
authors = ["FL03 <jo3mccain@icloud.com> (https://github.com/FL03)", "Scattered-Systems <support@scsys.io> (https://github.com/scattered-systems)"]
autobenches = false
autobins = false
autoexamples = false
autolib = false
autotests = false
build = "build.rs"
categories = ["algorithms", "mathematics", "science"]
description = "Concision is a toolkit for designing machine-learning models in Rust."
edition = "2024"
homepage = "https://github.com/FL03/concision/wiki"
keywords = ["data-science", "machine-learning", "toolkit"]
license = "Apache-2.0"
name = "concision"
readme = "README.md"
repository = "https://github.com/FL03/concision.git"
rust-version = "1.85.0"
version = "0.3.1"

[package.metadata.docs.rs]
all-features = false
features = ["default"]
rustc-args = ["--cfg", "docsrs"]

[package.metadata.release]
no-dev-version = true
tag-name = "v{{version}}"

[[test]]
name = "default"
path = "tests/default.rs"