Length of stay and decompensation tasks grid search (dropout = 0.3).

los_decomp_d0.3.sh

# lambda=0.1
echo lambda=0.1, dim=256
python -u main.py --network lstm --prefix los_decomp_ --dropout 0.3 --dim 256 --batch_size 8 --log_every 30 --batch_norm --ihm_C 0.0 --decomp_C 0.1 --ph_C 0.0 --los_C 1.0 --epochs 100 &> los_decomp_lstm.n256.bn.d0.3.bs16.0.00.1.00.0.00.0.10.ts1.0.previous;
echo lambda=0.1, dim=512
python -u main.py --network lstm --prefix los_decomp_ --dropout 0.3 --dim 512 --batch_size 8 --log_every 30 --batch_norm --ihm_C 0.0 --decomp_C 0.1 --ph_C 0.0 --los_C 1.0 --epochs 100 &> los_decomp_lstm.n512.bn.d0.3.bs16.0.00.1.00.0.00.0.10.ts1.0.previous;
echo lambda=0.1, dim=1024
python -u main.py --network lstm --prefix los_decomp_ --dropout 0.3 --dim 1024 --batch_size 8 --log_every 30 --batch_norm --ihm_C 0.0 --decomp_C 0.1 --ph_C 0.0 --los_C 1.0 --epochs 100 &> los_decomp_lstm.n1024.bn.d0.3.bs16.0.00.1.00.0.00.0.10.ts1.0.previous;


# lambda=0.3
echo lambda=0.3, dim=256
python -u main.py --network lstm --prefix los_decomp_ --dropout 0.3 --dim 256 --batch_size 8 --log_every 30 --batch_norm --ihm_C 0.0 --decomp_C 0.3 --ph_C 0.0 --los_C 1.0 --epochs 100 &> los_decomp_lstm.n256.bn.d0.3.bs16.0.00.1.00.0.00.0.30.ts1.0.previous;
echo lambda=0.3, dim=512
python -u main.py --network lstm --prefix los_decomp_ --dropout 0.3 --dim 512 --batch_size 8 --log_every 30 --batch_norm --ihm_C 0.0 --decomp_C 0.3 --ph_C 0.0 --los_C 1.0 --epochs 100 &> los_decomp_lstm.n512.bn.d0.3.bs16.0.00.1.00.0.00.0.30.ts1.0.previous;
echo lambda=0.3, dim=1024
python -u main.py --network lstm --prefix los_decomp_ --dropout 0.3 --dim 1024 --batch_size 8 --log_every 30 --batch_norm --ihm_C 0.0 --decomp_C 0.3 --ph_C 0.0 --los_C 1.0 --epochs 100 &> los_decomp_lstm.n1024.bn.d0.3.bs16.0.00.1.00.0.00.0.30.ts1.0.previous;


# lambda=1
echo lambda=1, dim=256
python -u main.py --network lstm --prefix los_decomp_ --dropout 0.3 --dim 256 --batch_size 8 --log_every 30 --batch_norm --ihm_C 0.0 --decomp_C 1 --ph_C 0.0 --los_C 1.0 --epochs 100 &> los_decomp_lstm.n256.bn.d0.3.bs16.0.00.1.00.0.00.1.00.ts1.0.previous;
echo lambda=1, dim=512
python -u main.py --network lstm --prefix los_decomp_ --dropout 0.3 --dim 512 --batch_size 8 --log_every 30 --batch_norm --ihm_C 0.0 --decomp_C 1 --ph_C 0.0 --los_C 1.0 --epochs 100 &> los_decomp_lstm.n512.bn.d0.3.bs16.0.00.1.00.0.00.1.00.ts1.0.previous;
echo lambda=1, dim=1024
python -u main.py --network lstm --prefix los_decomp_ --dropout 0.3 --dim 1024 --batch_size 8 --log_every 30 --batch_norm --ihm_C 0.0 --decomp_C 1 --ph_C 0.0 --los_C 1.0 --epochs 100 &> los_decomp_lstm.n1024.bn.d0.3.bs16.0.00.1.00.0.00.1.00.ts1.0.previous;


# lambda=3
echo lambda=3, dim=256
python -u main.py --network lstm --prefix los_decomp_ --dropout 0.3 --dim 256 --batch_size 8 --log_every 30 --batch_norm --ihm_C 0.0 --decomp_C 3 --ph_C 0.0 --los_C 1.0 --epochs 100 &> los_decomp_lstm.n256.bn.d0.3.bs16.0.00.1.00.0.00.3.00.ts1.0.previous;
echo lambda=3, dim=512
python -u main.py --network lstm --prefix los_decomp_ --dropout 0.3 --dim 512 --batch_size 8 --log_every 30 --batch_norm --ihm_C 0.0 --decomp_C 3 --ph_C 0.0 --los_C 1.0 --epochs 100 &> los_decomp_lstm.n512.bn.d0.3.bs16.0.00.1.00.0.00.3.00.ts1.0.previous;
echo lambda=3, dim=1024
python -u main.py --network lstm --prefix los_decomp_ --dropout 0.3 --dim 1024 --batch_size 8 --log_every 30 --batch_norm --ihm_C 0.0 --decomp_C 3 --ph_C 0.0 --los_C 1.0 --epochs 100 &> los_decomp_lstm.n1024.bn.d0.3.bs16.0.00.1.00.0.00.3.00.ts1.0.previous;


# lambda=10
echo lambda=10, dim=256
python -u main.py --network lstm --prefix los_decomp_ --dropout 0.3 --dim 256 --batch_size 8 --log_every 30 --batch_norm --ihm_C 0.0 --decomp_C 10 --ph_C 0.0 --los_C 1.0 --epochs 100 &> los_decomp_lstm.n256.bn.d0.3.bs16.0.00.1.00.0.00.10.00.ts1.0.previous;
echo lambda=10, dim=512
python -u main.py --network lstm --prefix los_decomp_ --dropout 0.3 --dim 512 --batch_size 8 --log_every 30 --batch_norm --ihm_C 0.0 --decomp_C 10 --ph_C 0.0 --los_C 1.0 --epochs 100 &> los_decomp_lstm.n512.bn.d0.3.bs16.0.00.1.00.0.00.10.00.ts1.0.previous;
echo lambda=10, dim=1024
python -u main.py --network lstm --prefix los_decomp_ --dropout 0.3 --dim 1024 --batch_size 8 --log_every 30 --batch_norm --ihm_C 0.0 --decomp_C 10 --ph_C 0.0 --los_C 1.0 --epochs 100 &> los_decomp_lstm.n1024.bn.d0.3.bs16.0.00.1.00.0.00.10.00.ts1.0.previous;