db144750a3
- Updated `train_model.py` and `train_mlx_model.py` to include a time weight decay parameter for improved sample weighting during training. - Modified dataset generation to incorporate sample weights based on time decay, enhancing model performance. - Adjusted deployment scripts to support new backend options and improved error handling for model file transfers. - Added new entries to the training log for better tracking of model performance metrics over time. - Included ONNX model export functionality in the MLX filter for compatibility with Linux servers.
16 lines
261 B
Plaintext
16 lines
261 B
Plaintext
python-binance==1.0.19
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pandas>=2.3.2
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pandas-ta==0.4.71b0
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python-dotenv==1.0.0
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httpx>=0.27.0
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pytest>=8.1.0
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pytest-asyncio>=0.24.0
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aiohttp==3.9.3
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websockets==12.0
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loguru==0.7.2
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lightgbm>=4.3.0
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scikit-learn>=1.4.0
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joblib>=1.3.0
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pyarrow>=15.0.0
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onnxruntime>=1.18.0
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