d82db25d63
主要更新： 1. 添加DeepSeek LLM集成（llm_integration.py） 2. 添加Pandera数据验证（data_validation.py） 3. 添加数据泄露风险检查（data_leakage_check.py） 4. 添加LightGBM模型支持 5. 修复infer.py中的欺诈概率计算逻辑错误 6. 更新pyproject.toml添加新依赖 7. 更新.env.example添加LLM配置 8. 添加欺诈检测测试脚本（test_fraud_detection.py） 9. 更新agent_app.py集成LLM功能 10. 更新train.py添加LightGBM模型 11. 更新data.py集成Pandera验证
31 lines
656 B
TOML
31 lines
656 B
TOML
[tool.uv]
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[project]
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name = "creditcard-fraud-detection"
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version = "0.1.0"
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description = "信用卡欺诈检测系统"
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license = { text = "MIT" }
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dependencies = [
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"numpy>=1.24.0",
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"polars>=0.19.0",
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"pandas>=2.2.0",
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"scikit-learn>=1.3.0",
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"imbalanced-learn>=0.11.0",
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"lightgbm>=4.0.0",
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"matplotlib>=3.7.0",
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"seaborn>=0.13.0",
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"joblib>=1.3.0",
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"pydantic>=2.0.0",
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"pandera>=0.18.0",
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"openai>=1.0.0",
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"python-dotenv>=1.0.0",
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"streamlit>=1.28.0",
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]
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[project.scripts]
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train = "src.train:train_and_evaluate"
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demo = "streamlit:run src/streamlit_app.py"
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[tool.ruff]
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line-length = 88
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select = ["E", "F", "W"] |