train_job

#!/bin/bash

DATA_DIR=/path/to/data


MODELTYPE=lstm
for TRAIN_TYPE in 2001-2002 rolling_limited rolling
do
	for TARGET in los_3 mort_icu
	do
		for MODELTYPE in lstm grud
		do
			echo "*******************************************************************************************************"
			echo $TRAIN_TYPE
			echo $TARGET
			python -u AUC_GH.py --representation raw --level nlp --train_type $TRAIN_TYPE --modeltype $MODELTYPE --random_seed 0 1 2 3 4 --data_dir $DATA_DIR --target $TARGET
			python -u AUC_GH.py --representation raw --level itemid --train_type $TRAIN_TYPE --modeltype lstm --random_seed 0 1 2 3 4 --data_dir $DATA_DIR --target $TARGET
			python -u AUC_GH.py --representation raw --level Level2 --train_type $TRAIN_TYPE --modeltype lstm --random_seed 0 1 2 3 4 --data_dir $DATA_DIR --target $TARGET
			python -u AUC_GH.py --representation pca --level itemid --train_type $TRAIN_TYPE --modeltype lstm --random_seed 0 1 2 3 4 --data_dir $DATA_DIR --target $TARGET
		done
	done
done


MODELTYPE=grud
for TRAIN_TYPE in 2001-2002 rolling_limited rolling
do
	for TARGET in los_3 mort_icu
	do
		echo "*******************************************************************************************************"
		echo $TRAIN_TYPE
		echo $TARGET
		python -u AUC_GH.py --representation raw --level nlp --train_type $TRAIN_TYPE --modeltype $MODELTYPE --random_seed 0 1 2 3 4 --data_dir $DATA_DIR --target $TARGET
		python -u AUC_GH.py --representation raw --level itemid --train_type $TRAIN_TYPE --modeltype lstm --random_seed 0 1 2 3 4 --data_dir $DATA_DIR --target $TARGET
		python -u AUC_GH.py --representation raw --level Level2 --train_type $TRAIN_TYPE --modeltype lstm --random_seed 0 1 2 3 4 --data_dir $DATA_DIR --target $TARGET
	done
done