orbit/diagnostics/plot.py [365:375]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    metric_vals = bt_pred_df.groupby(BacktestFitKeys.SPLIT_KEY.value).apply(
        lambda x: metrics(
            x[~x[BacktestFitKeys.TRAIN_FLAG.value]][BacktestFitKeys.ACTUAL.value],
            x[~x[BacktestFitKeys.TRAIN_FLAG.value]][BacktestFitKeys.PREDICTED.value],
        )
    )

    if split_key_list is None:
        split_key_list_ = bt_pred_df[BacktestFitKeys.SPLIT_KEY.value].unique()
    else:
        split_key_list_ = split_key_list
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -



orbit/diagnostics/plot.py [470:480]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    metric_vals = bt_pred_df.groupby(BacktestFitKeys.SPLIT_KEY.value).apply(
        lambda x: metrics(
            x[~x[BacktestFitKeys.TRAIN_FLAG.value]][BacktestFitKeys.ACTUAL.value],
            x[~x[BacktestFitKeys.TRAIN_FLAG.value]][BacktestFitKeys.PREDICTED.value],
        )
    )

    if split_key_list is None:
        split_key_list_ = bt_pred_df[BacktestFitKeys.SPLIT_KEY.value].unique()
    else:
        split_key_list_ = split_key_list
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -