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rough-glad.txt
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rough-glad.txt
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bash ./glad.sh toy2 35 1 0.03 loda
bash ./glad.sh toy2 150 10 0.03 loda
# bash on Mac OSX:
nohup bash ./glad.sh abalone 150 10 0.03 loda &
nohup bash ./glad.sh ann_thyroid_1v3 150 10 0.03 loda &
nohup bash ./glad.sh cardiotocography_1 150 10 0.03 loda &
nohup bash ./glad.sh yeast 150 10 0.03 loda &
nohup bash ./glad.sh mammography 150 10 0.03 loda &
nohup bash ./glad.sh shuttle_1v23567 150 10 0.03 loda &
nohup bash ./glad.sh mammography 150 10 0.03 loda &
nohup bash ./glad.sh shuttle_1v23567 150 10 0.03 loda &
nohup bash ./glad.sh kddcup 150 10 0.03 loda &
nohup bash ./glad.sh covtype 150 10 0.03 loda &
=============================
# Unit tests with Toy data
python -m glad.test_glad --log_file=temp/glad/test_glad.log --debug --dataset=toy --op=unit --n_anoms=60 --loda_debug
python -m glad.test_glad --log_file=temp/glad/test_glad.log --debug --dataset=toy2 --op=unit --n_anoms=60 --loda_debug --plot
python -m glad.test_glad --log_file=temp/glad/test_glad.log --debug --dataset=toy2 --budget=30 --op=active --loda_debug --plot
=============================
# Test on real datasets
python -m glad.glad_batch --log_file=temp/glad/test_glad_abalone.log --debug --dataset=abalone --budget=60
python -m glad.glad_batch --log_file=temp/glad/test_glad_yeast.log --debug --dataset=yeast --budget=60
python -m glad.glad_batch --log_file=temp/glad/test_glad_cardiotocography_1.log --debug --dataset=cardiotocography_1 --budget=60
python -m glad.glad_batch --log_file=temp/glad/test_glad_ann_thyroid_1v3.log --debug --dataset=ann_thyroid_1v3 --budget=60
python -m glad.glad_batch --log_file=temp/glad/test_glad_mammography.log --debug --dataset=mammography --budget=150
python -m glad.glad_batch --log_file=temp/glad/test_glad_electricity.log --debug --dataset=electricity --budget=150
python -m glad.glad_batch --log_file=temp/glad/test_glad_weather.log --debug --dataset=weather --budget=150
python -m glad.glad_batch --log_file=temp/glad/test_glad_shuttle_1v23567.log --debug --dataset=shuttle_1v23567 --budget=150
python -m glad.glad_batch --log_file=temp/glad/test_glad_kddcup.log --debug --dataset=kddcup --budget=150