pred_df: pd.DataFrame, fit_live_predictions_candles: int, label_period_candles: int
):
min_pred = pred_df.tail(label_period_candles).apply(
- lambda col: smooth_min(col, beta=10)
+ lambda col: smooth_min(col, beta=10.0)
)
max_pred = pred_df.tail(label_period_candles).apply(
- lambda col: smooth_max(col, beta=10)
+ lambda col: smooth_max(col, beta=10.0)
)
return min_pred, max_pred
pred_df: pd.DataFrame, fit_live_predictions_candles: int, label_period_candles: int
):
min_pred = pred_df.tail(label_period_candles).apply(
- lambda col: smooth_min(col, beta=10)
+ lambda col: smooth_min(col, beta=10.0)
)
max_pred = pred_df.tail(label_period_candles).apply(
- lambda col: smooth_max(col, beta=10)
+ lambda col: smooth_max(col, beta=10.0)
)
return min_pred, max_pred