stableprop 0.3.1

Sampling-free uncertainty propagation through neural networks (analytic Gaussian and Cauchy).
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

# THIS FILE IS AUTOMATICALLY GENERATED BY CARGO
#
# When uploading crates to the registry Cargo will automatically
# "normalize" Cargo.toml files for maximal compatibility
# with all versions of Cargo and also rewrite `path` dependencies
# to registry (e.g., crates.io) dependencies.
#
# If you are reading this file be aware that the original Cargo.toml
# will likely look very different (and much more reasonable).
# See Cargo.toml.orig for the original contents.

[package]
edition = "2021"
rust-version = "1.80"
name = "stableprop"
version = "0.3.1"
build = false
publish = true
autolib = false
autobins = false
autoexamples = false
autotests = false
autobenches = false
description = "Sampling-free uncertainty propagation through neural networks (analytic Gaussian and Cauchy)."
homepage = "https://github.com/arclabs561/stableprop"
documentation = "https://docs.rs/stableprop"
readme = "README.md"
keywords = [
    "uncertainty",
    "moment-propagation",
    "neural-network",
    "gaussian",
    "calibration",
]
categories = [
    "science",
    "algorithms",
]
license = "MIT OR Apache-2.0"
repository = "https://github.com/arclabs561/stableprop"

[package.metadata.docs.rs]
features = ["burn"]

[features]
burn = ["dep:burn"]
default = []

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

[[example]]
name = "cauchy_tails"
path = "examples/cauchy_tails.rs"
required-features = ["burn"]

[[example]]
name = "conformal_intervals"
path = "examples/conformal_intervals.rs"
required-features = ["burn"]

[[example]]
name = "cora_uncertainty"
path = "examples/cora_uncertainty.rs"
required-features = ["burn"]

[[example]]
name = "full_covariance"
path = "examples/full_covariance.rs"
required-features = ["burn"]

[[example]]
name = "gcn_uncertainty"
path = "examples/gcn_uncertainty.rs"
required-features = ["burn"]

[[example]]
name = "misclassification_risk"
path = "examples/misclassification_risk.rs"
required-features = ["burn"]

[[example]]
name = "regression_intervals"
path = "examples/regression_intervals.rs"
required-features = ["burn"]

[[example]]
name = "robust_training"
path = "examples/robust_training.rs"
required-features = ["burn"]

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

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

[dependencies.burn]
version = "0.20.0"
features = ["std"]
optional = true
default-features = false

[dev-dependencies.burn]
version = "0.20.0"
features = [
    "std",
    "autodiff",
]
default-features = false

[dev-dependencies.burn-ndarray]
version = "0.20.0"

[dev-dependencies.propago]
version = "0.2"

[dev-dependencies.proptest]
version = "1.5"