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Change output files settings to nonstandardized.

imputation_and_cleaning
Primoz 2022-11-29 11:19:43 +00:00
parent be0324fd01
commit 244a053730
2 changed files with 1 additions and 3 deletions
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2
config.yaml
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@ -710,7 +710,7 @@ ALL_CLEANING_OVERALL:
COMPUTE: True COMPUTE: True
MIN_OVERLAP_FOR_CORR_THRESHOLD: 0.5 MIN_OVERLAP_FOR_CORR_THRESHOLD: 0.5
CORR_THRESHOLD: 0.95 CORR_THRESHOLD: 0.95
STANDARDIZATION: True STANDARDIZATION: False
SRC_SCRIPT: src/features/all_cleaning_overall/straw/main.py SRC_SCRIPT: src/features/all_cleaning_overall/straw/main.py

2
src/features/all_cleaning_individual/straw/main.py
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@ -141,8 +141,6 @@ def straw_cleaning(sensor_data_files, provider):
if esm not in features: if esm not in features:
features[esm] = esm_cols[esm] features[esm] = esm_cols[esm]
fe6 = features.copy()
# (9) VERIFY IF THERE ARE ANY NANS LEFT IN THE DATAFRAME # (9) VERIFY IF THERE ARE ANY NANS LEFT IN THE DATAFRAME
if features.isna().any().any(): if features.isna().any().any():
raise ValueError("There are still some NaNs present in the dataframe. Please check for implementation errors.") raise ValueError("There are still some NaNs present in the dataframe. Please check for implementation errors.")