Change output files settings to nonstandardized.

config.yaml

@@ -710,7 +710,7 @@ ALL_CLEANING_OVERALL:
         COMPUTE: True
         MIN_OVERLAP_FOR_CORR_THRESHOLD: 0.5
         CORR_THRESHOLD: 0.95
-      STANDARDIZATION: True
+      STANDARDIZATION: False
       SRC_SCRIPT: src/features/all_cleaning_overall/straw/main.py
 
 

src/features/all_cleaning_individual/straw/main.py

@@ -141,8 +141,6 @@ def straw_cleaning(sensor_data_files, provider):
         if esm not in features:
             features[esm] = esm_cols[esm]
 
-    fe6 = features.copy()
-
     # (9) VERIFY IF THERE ARE ANY NANS LEFT IN THE DATAFRAME
     if features.isna().any().any():
         raise ValueError("There are still some NaNs present in the dataframe. Please check for implementation errors.")