imbalanced-sampling 0.1.0

Resampling algorithms for imbalanced datasets in Rust - SMOTE, ADASYN, RandomUnderSampler
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

[[bench]]
harness = false
name = "quick_benchmarks"
path = "benches/quick_benchmarks.rs"

[[bench]]
harness = false
name = "resampling_benchmarks"
path = "benches/resampling_benchmarks.rs"

[dependencies.imbalanced-core]
version = "0.1.0"

[dependencies.kiddo]
version = "4.0"

[dependencies.ndarray]
features = ["rayon"]
version = "0.15"

[dependencies.num-traits]
version = "0.2"

[dependencies.rand]
features = ["small_rng"]
version = "0.8"

[dependencies.rayon]
version = "1.8"

[dependencies.serde]
features = ["derive"]
optional = true
version = "1.0"

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

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

[dev-dependencies.imbalanced-metrics]
version = "0.1.0"

[dev-dependencies.rand_chacha]
version = "0.3"

[features]
default = []
serde = ["dep:serde", "imbalanced-core/serde", "ndarray/serde"]

[lib]
name = "imbalanced_sampling"
path = "src/lib.rs"

[package]
authors = ["Tima Rocks! <tima@tima.rocks>"]
autobenches = false
autobins = false
autoexamples = false
autolib = false
autotests = false
build = false
categories = ["science", "algorithms"]
description = "Resampling algorithms for imbalanced datasets in Rust - SMOTE, ADASYN, RandomUnderSampler"
documentation = "https://docs.rs/imbalanced-sampling"
edition = "2021"
exclude = ["target/", "benchmarks/", "examples/"]
homepage = "https://github.com/timarocks/rust-imbalanced-learn"
keywords = ["machine-learning", "smote", "adasyn", "resampling", "imbalanced"]
license = "MIT OR Apache-2.0"
name = "imbalanced-sampling"
readme = "README.md"
repository = "https://github.com/timarocks/rust-imbalanced-learn"
version = "0.1.0"