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96bba34 | 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 | [project]
name = "sadar"
version = "0.1.0"
description = "Smart Anomaly Detection for Aviation Routes - anomalous flight behavior detection with Deep Learning over ADS-B data (LEMD)."
requires-python = ">=3.11"
dependencies = [
"numpy>=1.26",
"pandas>=2.2",
"pyarrow>=16.0",
"scikit-learn>=1.4",
"matplotlib>=3.8",
"plotly>=5.20",
"pyyaml>=6.0",
"geopy>=2.4",
"pyproj>=3.6",
"torch>=2.2",
"optuna>=4.8.0",
"fastapi>=0.136.3",
"uvicorn[standard]>=0.48.0",
"httpx>=0.28.1",
"mlflow>=3.12.0",
]
[project.scripts]
sadar-preprocess = "sadar.data.pipeline:main"
sadar-baseline = "sadar.models.baseline:main"
sadar-train-lstm = "sadar.models.train_lstm:main"
sadar-train-transformer = "sadar.models.train_transformer:main"
sadar-train-vae = "sadar.models.train_vae:main"
sadar-tune-vae = "sadar.models.tune_vae:main"
sadar-evaluate = "sadar.eval.evaluate:main"
sadar-compare = "sadar.eval.compare:main"
[dependency-groups]
dev = [
"jupyter>=1.0",
"ipykernel>=6.29",
"ruff>=0.5",
]
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.hatch.build.targets.wheel]
packages = ["src/sadar"]
[tool.ruff]
line-length = 100
target-version = "py311"
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