concision 0.1.21

Concision is a toolkit for designing machine-learning models in Rust.
Documentation 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130

[[bench]]
harness = false
name = "default"
path = "benches/default.rs"
required-features = ["std"]

[dependencies.concision-core]
default-features = false
version = "0.1.21"

[dependencies.concision-derive]
default-features = false
optional = true
version = "0.1.21"

[dependencies.concision-macros]
default-features = false
optional = true
version = "0.1.21"

[dependencies.concision-neural]
default-features = false
optional = true
version = "0.1.21"

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

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

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

[dev-dependencies.lazy_static]
version = "1"

[dev-dependencies.ndarray]
default-features = false
version = "0.16"

[dev-dependencies.num]
default-features = false
features = ["rand", "serde"]
version = "0.4"

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

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

[[example]]
name = "basic"
path = "examples/basic.rs"

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

[features]
alloc = ["concision-core/alloc"]
approx = ["concision-core/approx", "concision-neural/approx"]
blas = ["concision-core/blas", "concision-neural/blas"]
complex = ["concision-core/complex", "concision-neural/complex"]
default = ["neural", "std"]
derive = ["dep:concision-derive"]
full = ["approx", "default", "derive", "macros", "rand", "serde", "tracing"]
intel-mkl-static = ["blas"]
intel-mkl-system = ["blas"]
json = ["concision-core/json", "concision-neural/json"]
macros = ["dep:concision-macros"]
netlib-static = ["blas"]
netlib-system = ["blas"]
neural = ["dep:concision-neural"]
openblas-static = ["blas"]
openblas-system = ["blas"]
rand = ["concision-core/rand", "concision-neural/rand"]
rayon = ["concision-core/rayon", "concision-neural/rayon"]
rng = ["concision-core/rng", "concision-neural/rng"]
rustfft = ["concision-core/rustfft", "concision-neural/rustfft"]
serde = ["concision-core/serde", "concision-neural/serde"]
std = ["alloc", "concision-core/std"]
tracing = ["concision-core/tracing", "concision-neural/tracing"]

[lib]
bench = true
crate-type = ["cdylib", "rlib"]
doctest = true
name = "concision"
path = "src/lib.rs"
test = true

[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 = false
categories = ["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", "scsys", "toolkit"]
license = "Apache-2.0"
name = "concision"
readme = "README.md"
repository = "https://github.com/FL03/concision"
version = "0.1.21"

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

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

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