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run_eva.sh
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run_eva.sh
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#!/bin/bash
# trap break INT
# for noise in 1 2 3 4 5
# do
# for run in `seq 30 $max`
# do
# echo "noise: $noise, run: $run"
# python -m GenKI.train --dir data --train_out train_X_$noise -X $noise
# echo -e "completed\n"
# done
# done
# for noise in 1 2 3 4 5
# do
# for run in `seq 30 $max`
# do
# echo "noise: $noise, run: $run"
# python -m GenKI.train --dir data --train_out train_E_$noise -E $noise
# echo -e "completed\n"
# done
# done
# trap - INT
for noise in 0.1 0.3 0.5 0.7 0.9
do
for run in `seq 10 $max`
do
echo "dropout: $noise, run: $run"
python -m GenKI.train --dir data --train_out train_XO_$noise -XO $noise
echo -e "completed\n"
done
done
trap - INT
# trap break INT
# for run in `seq 30 $max`
# do
# echo "run: $run"
# python -m GenKI.train --train_out train_log --do_test --generank_out genelist --r2_out r2_score
# echo -e "completed\n"
# done
# trap - INT
# trap break INT
# for cutoff in 30 55 70 95
# do
# trap break INT
# for run in `seq 30 $max`
# do
# echo "run: $run"
# python -m GenKI.train --train_out train_log --dir data_$cutoff
# echo -e "completed\n"
# done
# done
# trap - INT