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@@ -581,13 +581,7 @@ class Predictor:
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time_interval = timedelta(minutes=(4 * self.resolution / 60))
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timestamps = [start_time + i * time_interval for i in range(len(predictions))]
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- base_columns = [
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- 'C.M.UF1_DB@press_PV', 'C.M.UF2_DB@press_PV', 'C.M.UF3_DB@press_PV', 'C.M.UF4_DB@press_PV',
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- 'UF1Per','UF2Per','UF3Per','UF4Per',
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- 'C.M.RO1_DB@DPT_1', 'C.M.RO2_DB@DPT_1', 'C.M.RO3_DB@DPT_1', 'C.M.RO4_DB@DPT_1',
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- 'C.M.RO1_DB@DPT_2', 'C.M.RO2_DB@DPT_2', 'C.M.RO3_DB@DPT_2', 'C.M.RO4_DB@DPT_2',
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- ]
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-
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+ base_columns = self.target_columns
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pred_columns = [f'{col}_Predicted' for col in base_columns]
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df_result = pd.DataFrame(predictions, columns=pred_columns)
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df_result.insert(0, 'index', timestamps)
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