drd_vic
f6660518b7
重构主要管道代码，实现更完善的架构设计： - 添加统一配置管理系统，支持数据、模型、训练和可视化参数的集中管理 - 实现完整的日志记录系统，支持文件和控制台输出，提供结构化的运行日志 - 集成性能监控工具，包括执行时间、内存使用情况的实时跟踪和分析 - 新增模型检查点功能，支持模型和评估结果的自动保存与加载 - 添加数据验证器，确保数据完整性和预测结果的正确性 - 实现模型工厂模式，便于扩展和管理不同类型的机器学习模型 - 优化异常处理机制，提供专门的异常类型分类 - 更新依赖项，添加psutil库用于系统资源监控 输出文件管理改进： - 将评估结果和训练后的模型保存到outputs目录 - 添加日志文件到.gitignore，确保版本控制清洁 - 提供完整的模型评估指标对比分析
39 lines
855 B
TOML
39 lines
855 B
TOML
[build-system]
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requires = ["hatchling"]
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build-backend = "hatchling.build"
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[project]
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name = "stackingdemo"
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version = "0.1.0"
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description = "Stacking Ensemble Model with Ridge/XGBoost/LightGBM/MLP + Decision Tree"
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readme = "README.md"
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requires-python = ">=3.10"
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dependencies = [
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"lightgbm>=4.6.0",
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"numpy>=2.2.6",
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"pandas>=2.3.3",
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"scikit-learn>=1.7.2",
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"xgboost>=3.1.2",
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"matplotlib>=3.8.0",
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"seaborn>=0.13.2",
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"psutil>=7.1.3",
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]
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[tool.uv]
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python-install-mirror = "https://gh-proxy.com/https://github.com/astral-sh/python-build-standalone/releases/download/"
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[[tool.uv.index]]
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name = "tuna"
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url = "https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple"
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default = true
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[tool.hatch.build.targets.wheel]
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packages = ["src/stacking_model"]
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[tool.black]
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line-length = 88
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[tool.ruff]
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line-length = 88
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select = ["E", "F", "W"]
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