Add the baseline features rule to snakefile.

Correct age calculation for a single value instead of dataframe.

Snakefile

@@ -403,9 +403,10 @@ for provider in config["ALL_CLEANING_OVERALL"]["PROVIDERS"].keys():
     if config["ALL_CLEANING_OVERALL"]["PROVIDERS"][provider]["COMPUTE"]:
         files_to_compute.extend(expand("data/processed/features/all_participants/all_sensor_features_cleaned_" + provider.lower() +".csv"))
 
-# Demographic features
+# Baseline features
 files_to_compute.extend(expand("data/raw/baseline_merged.csv"))
 files_to_compute.extend(expand("data/raw/{pid}/participant_baseline_raw.csv", pid=config["PIDS"]))
+files_to_compute.extend(expand("data/processed/features/{pid}/baseline_features.csv", pid=config["PIDS"]))
 
 rule all:
     input:

src/data/baseline_features.py

@@ -10,7 +10,7 @@ if not participant_info.empty:
         now = pd.Timestamp("now")
         baseline_features.loc[0, "age"] = (
             now - participant_info.loc[0, "date_of_birth"]
-        ).dt.days / 365.25245
+        ).days / 365.25245
     if "gender" in requested_features:
         baseline_features.loc[0, "gender"] = participant_info.loc[0, "gender"]
     if "startlanguage" in requested_features: