kbt-devops
fe76bc7629
Implements FastAPI backend with ML model support for energy trading, including price prediction models and RL-based battery trading policy. Features dashboard, trading, backtest, and settings API routes with WebSocket support for real-time updates.
17 lines
371 B
Python
17 lines
371 B
Python
from dataclasses import dataclass
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from typing import List, Dict, Any
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@dataclass
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class MLConfig:
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enable_gpu: bool = False
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n_jobs: int = 4
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verbose: bool = True
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@classmethod
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def from_dict(cls, config_dict: Dict[str, Any]) -> "MLConfig":
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return cls(**{k: v for k, v in config_dict.items() if k in cls.__annotations__})
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__all__ = ["MLConfig"]
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