temporal-drift-aware-fraud-detection-with-adversarial-validation/pyproject.toml at main · A-SHOJAEI/temporal-drift-aware-fraud-detection-with-adversarial-validation · GitHub

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
131
132
133
134
135
136
137
138
139
140
141
142
[build-system]
requires = ["setuptools>=61.0", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "temporal-drift-aware-fraud-detection-with-adversarial-validation"
version = "0.1.0"
description = "Builds a fraud detection system on IEEE-CIS data that explicitly models temporal distribution shift by training adversarial validators to detect when the production distribution diverges from training data"
authors = [
    {name = "Alireza Shojaei", email = "noreply@example.com"}
]
readme = "README.md"
license = {text = "MIT"}
requires-python = ">=3.8"
classifiers = [
    "Development Status :: 4 - Beta",
    "Intended Audience :: Developers",
    "Intended Audience :: Science/Research",
    "License :: OSI Approved :: MIT License",
    "Operating System :: OS Independent",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.8",
    "Programming Language :: Python :: 3.9",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
    "Topic :: Software Development :: Libraries :: Python Modules",
]
keywords = ["fraud detection", "drift detection", "adversarial validation", "ensemble learning", "temporal analysis"]

dependencies = [
    "lightgbm>=4.0.0",
    "catboost>=1.2.0",
    "xgboost>=1.7.0",
    "scikit-learn>=1.3.0",
    "optuna>=3.3.0",
    "pandas>=2.0.0",
    "numpy>=1.24.0",
    "scipy>=1.10.0",
    "pyyaml>=6.0",
    "python-dotenv>=1.0.0",
    "mlflow>=2.5.0",
    "tqdm>=4.65.0",
    "joblib>=1.3.0",
]

[project.optional-dependencies]
dev = [
    "pytest>=7.4.0",
    "pytest-cov>=4.1.0",
    "black>=23.0.0",
    "flake8>=6.0.0",
]
notebooks = [
    "jupyter>=1.0.0",
    "ipykernel>=6.25.0",
    "matplotlib>=3.7.0",
    "seaborn>=0.12.0",
]

[project.urls]
Homepage = "https://github.com/alirezashojaei/temporal-drift-aware-fraud-detection-with-adversarial-validation"
Repository = "https://github.com/alirezashojaei/temporal-drift-aware-fraud-detection-with-adversarial-validation"
Documentation = "https://github.com/alirezashojaei/temporal-drift-aware-fraud-detection-with-adversarial-validation#readme"
Issues = "https://github.com/alirezashojaei/temporal-drift-aware-fraud-detection-with-adversarial-validation/issues"

[project.scripts]
train-fraud-detector = "temporal_drift_aware_fraud_detection_with_adversarial_validation.scripts.train:main"
evaluate-fraud-detector = "temporal_drift_aware_fraud_detection_with_adversarial_validation.scripts.evaluate:main"

[tool.setuptools.packages.find]
where = ["src"]

[tool.setuptools.package-data]
"temporal_drift_aware_fraud_detection_with_adversarial_validation" = ["configs/*.yaml"]

[tool.black]
line-length = 100
target-version = ['py38']
include = '\.pyi?$'
extend-exclude = '''
/(
    \.eggs
    | \.git
    | \.hg
    | \.mypy_cache
    | \.tox
    | \.venv
    | _build
    | buck-out
    | build
    | dist
)/
'''

[tool.pytest.ini_options]
testpaths = ["tests"]
python_files = ["test_*.py"]
python_classes = ["Test*"]
python_functions = ["test_*"]
addopts = "--verbose --tb=short --strict-markers"
markers = [
    "slow: marks tests as slow (deselect with '-m \"not slow\"')",
    "integration: marks tests as integration tests",
    "unit: marks tests as unit tests",
]

[tool.coverage.run]
source = ["src/temporal_drift_aware_fraud_detection_with_adversarial_validation"]
omit = [
    "*/tests/*",
    "*/test_*",
    "*/conftest.py",
    "*/setup.py",
]

[tool.coverage.report]
exclude_lines = [
    "pragma: no cover",
    "def __repr__",
    "if self.debug:",
    "if settings.DEBUG",
    "raise AssertionError",
    "raise NotImplementedError",
    "if 0:",
    "if __name__ == .__main__.:",
    "class .*\\bProtocol\\):",
    "@(abc\\.)?abstractmethod",
]

[tool.flake8]
max-line-length = 100
extend-ignore = ["E203", "W503"]
exclude = [
    ".git",
    "__pycache__",
    "build",
    "dist",
    "*.egg-info",
    ".venv",
    ".tox",
]