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train_no_years_job
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train_no_years_job
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#!/bin/bash
source ~/.bashrc
source activate ~/envs/torch
which python;
python -c "print('test python job')"
DATA_DIR=/path/to/data
for MODELTYPE in lr rf lstm grud
do
python -u AUC_GH.py --representation raw --level nlp --train_type no_years --modeltype MODELTYPE --random_seed 0 --data_dir $DATA_DIR --target mort_icu
python -u AUC_GH.py --representation raw --level nlp --train_type no_years --modeltype MODELTYPE --random_seed 0 --data_dir $DATA_DIR --target los_3
python -u AUC_GH.py --representation raw --level itemid --train_type no_years --modeltype MODELTYPE --random_seed 0 --data_dir $DATA_DIR --target mort_icu
python -u AUC_GH.py --representation raw --level itemid --train_type no_years --modeltype MODELTYPE --random_seed 0 --data_dir $DATA_DIR --target los_3
python -u AUC_GH.py --representation raw --level Level2 --train_type no_years --modeltype MODELTYPE --random_seed 0 --data_dir $DATA_DIR --target mort_icu
python -u AUC_GH.py --representation raw --level Level2 --train_type no_years --modeltype MODELTYPE --random_seed 0 --data_dir $DATA_DIR --target los_3
python -u AUC_GH.py --representation pca --level itemid --train_type no_years --modeltype MODELTYPE --random_seed 0 --data_dir $DATA_DIR --target mort_icu
python -u AUC_GH.py --representation pca --level itemid --train_type no_years --modeltype MODELTYPE --random_seed 0 --data_dir $DATA_DIR --target los_3
done