Add train-split robust scaling for continuous values

train_extra_info_assessment_all_multiseed_linux.sh

@@ -10,6 +10,7 @@
 #   - smoking
 #   - alcohol
 #   - BMI is already included in the assessment variables
+#   - continuous values use train-split RobustScaler statistics
 #
 # A6000 48 GB default:
 #   batch_size=256
@@ -34,7 +35,7 @@ SEED_CSV="42,43,44"
 NUM_WORKERS=4
 BATCH_SIZE=256
 PYTHON_BIN="${PYTHON_BIN:-python}"
-CAMPAIGN_NAME="extra_info_assessment_smoking_alcohol_multiseed"
+CAMPAIGN_NAME="extra_info_assessment_smoking_alcohol_robust_multiseed"
 DRY_RUN=0
 
 ENTRYPOINT="$SCRIPT_DIR/train_all_future.py"
@@ -66,6 +67,7 @@ Fixed experiment settings:
   disease history        timed
   sex                    enabled by the model
   extra information      extra_info_types_assessment_smoking_alcohol.txt
+  continuous scaling     robust (training-subset median/IQR)
 
 A6000 48 GB default:
   batch_size             256
@@ -234,6 +236,7 @@ run_job() {
         --time_mode relative
         --dist_mode weibull
         --disease_history_mode timed
+        --continuous_value_scaling robust
         --extra_info_types_file "$EXTRA_INFO_TYPES_FILE"
     )