fix: 精简 requirements.txt,移除未使用的依赖
移除的依赖: - gluonts: 项目中未使用 - pytorch-lightning: 非必需 - torchmetrics: 非必需 - onnx/onnxruntime: 非核心功能 - sqlalchemy: 使用 pymysql 直连 - jupyter/matplotlib/seaborn/pytest: 开发工具,非运行必需 保留的核心依赖: - pandas, numpy, scikit-learn: 数据处理 - granite-tsfm: TTM-R2 模型 - pandas-ta: 技术指标 - fastapi, uvicorn: API 服务 - httpx, python-binance: 数据获取 - schedule: 任务调度 - pymysql, cryptography: 数据库 注意:PyTorch 需要单独安装(Windows 用 CPU 版本)
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@@ -34,18 +34,14 @@ echo [3/6] 安装 PyTorch (CPU 版本)...
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pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu
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echo.
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echo [4/6] 安装项目依赖...
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echo [4/5] 安装项目依赖...
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pip install -r requirements.txt
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echo.
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echo [5/6] 安装 IBM TTM-R2 模型库...
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echo 包名: granite-tsfm (导入时用 tsfm_public)
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pip install granite-tsfm
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echo.
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echo [6/6] 验证安装...
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echo [5/5] 验证安装...
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python -c "import torch; print(f'PyTorch: {torch.__version__}')"
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python -c "import tsfm_public; print('tsfm_public: 已安装')"
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python -c "from tsfm_public.models.tinytimemixer import TinyTimeMixerForPrediction; print('TTM-R2: 已安装')"
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python -c "import pandas_ta; print('pandas-ta: 已安装')"
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python -c "from training.config import TrainingConfig; c=TrainingConfig(); print(f'设备: {c.get_device()}')"
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echo.
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