s2gpp 1.0.0

Algorithm for Highly Efficient Detection of Correlation Anomalies in Multivariate Time Series
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

[[bin]]
doc = false
name = "s2gpp"
path = "src/bin/s2gpp.rs"
[dependencies.actix]
version = "=0.12.0"

[dependencies.actix-broker]
version = "0.4.1"

[dependencies.actix-telepathy]
version = "=0.4.1"

[dependencies.anyhow]
version = "1.0.41"

[dependencies.console]
version = "0.15.0"

[dependencies.csv]
version = "1.1.6"

[dependencies.env_logger]
version = "0.9.0"

[dependencies.futures-sink]
version = "0.3.21"

[dependencies.indexmap]
version = "1.8"

[dependencies.indicatif]
version = "0.16.2"

[dependencies.itertools]
version = "0.10.3"

[dependencies.kdtree]
version = "0.6.0"

[dependencies.log]
version = "0.4"

[dependencies.meanshift-rs]
version = "0.8.0"

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

[dependencies.ndarray-linalg]
features = ["openblas-static"]
version = "0.14"

[dependencies.ndarray-stats]
version = "0.5"

[dependencies.ndarray_einsum_beta]
version = "0.7.0"

[dependencies.num-integer]
version = "0.1.44"

[dependencies.num-traits]
version = "0.2.14"

[dependencies.numpy]
optional = true
version = "0.16"

[dependencies.pyo3]
features = ["extension-module"]
optional = true
version = "0.16"

[dependencies.serde]
version = "1.0"

[dependencies.serde_with]
version = "1.9.1"

[dependencies.sortedvec]
version = "0.5.0"

[dependencies.structopt]
version = "0.3"

[dependencies.tokio]
features = ["sync"]
version = "1.12"
[dev-dependencies.actix-rt]
version = "2.2.0"

[dev-dependencies.port_scanner]
version = "0.1.5"

[dev-dependencies.rayon]
version = "1.5.0"

[features]
python = ["pyo3", "numpy"]

[lib]
crate-type = ["cdylib", "rlib"]
name = "s2gpp"
path = "src/lib.rs"

[package]
authors = ["Phillip Wenig <phillip.wenig@hpi.de>"]
description = "Algorithm for Highly Efficient Detection of Correlation Anomalies in Multivariate Time Series"
documentation = "https://docs.rs/s2gpp"
edition = "2018"
homepage = "https://github.com/HPI-Information-Systems/S2Gpp"
license = "MIT"
name = "s2gpp"
repository = "https://github.com/HPI-Information-Systems/S2Gpp"
version = "1.0.0"
[package.metadata.maturin]
classifier = ["Programming Language :: Python"]
requires-dist = ["scikit-learn~=1.1"]

[package.metadata.maturin.project-url]
homepage = "https://github.com/HPI-Information-Systems/S2Gpp"
repository = "https://github.com/HPI-Information-Systems/S2Gpp"
[profile.release]
panic = "abort"