revert change

Author: ahosler

ads/opctl/operator/lowcode/common/transformations.py

@@ -104,7 +104,7 @@ def _normalize_column_names(self, df):
     def _set_series_id_column(self, df):
         self._target_category_columns_map = {}
         if not self.target_category_columns:
-            df[DataColumns.Series] = "Series_1"
+            df[DataColumns.Series] = "Series 1"
             self.has_artificial_series = True
         else:
             df[DataColumns.Series] = merge_category_columns(

ads/opctl/operator/lowcode/forecast/model/base_model.py

@@ -481,12 +481,12 @@ def _save_report(
             metrics_col_name = (
                 self.original_target_column
                 if self.datasets.has_artificial_series()
-                else "Series_1"
+                else "Series 1"
             )
             if metrics_df is not None:
                 write_data(
                     data=metrics_df.reset_index().rename(
-                        {"index": "metrics", "Series_1": metrics_col_name}, axis=1
+                        {"index": "metrics", "Series 1": metrics_col_name}, axis=1
                     ),
                     filename=os.path.join(
                         unique_output_dir, self.spec.metrics_filename
@@ -505,7 +505,7 @@ def _save_report(
                 if test_metrics_df is not None:
                     write_data(
                         data=test_metrics_df.reset_index().rename(
-                            {"index": "metrics", "Series_1": metrics_col_name}, axis=1
+                            {"index": "metrics", "Series 1": metrics_col_name}, axis=1
                         ),
                         filename=os.path.join(
                             unique_output_dir, self.spec.test_metrics_filename

tests/operators/anomaly/test_anomaly_simple.py

@@ -100,7 +100,7 @@
 def test_artificial_big(model):
     all_data = []
     TARGET_COLUMN = "sensor"
-    TARGET_CATEGORY_COLUMN = "Meter ID"
+    TARGET_CATEGORY_COLUMN = "Meter_ID"
     DATETIME_COLUMN = "Date"
     yr_in_30_min = pd.date_range(
         "2014-01-15 00:00:00", "2015-01-15 00:00:00", freq="30min"