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.
15 lines
286 B
Python
15 lines
286 B
Python
from typing import List
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import pandas as pd
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def add_lag_features(df: pd.DataFrame, col: str, lags: List[int]) -> pd.DataFrame:
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result = df.copy()
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for lag in lags:
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result[f"{col}_lag_{lag}"] = result[col].shift(lag)
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return result
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__all__ = ["add_lag_features"]
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