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@@ -1,7 +1,7 @@
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#! /bin/bash
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# default param
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-ILS=2000
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+ILS=1000
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LS=100
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SS=50
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LENGTH=32 # number of features
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@@ -13,18 +13,18 @@ TRAIN_EVERY=10
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#output="rendering-attributes-ILS_${ILS}-POP_${POP}-LS_${LS}-SS_${SS}-SO_${ORDER}-SE_${TRAIN_EVERY}"
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DATASET="rnn/data/datasets/features-selection-rendering-scaled/features-selection-rendering-scaled"
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-for run in {1,2,3,4,5,6,7,8,9,10};
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+for run in {1,2,3,4,5};
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do
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- for POP in {20,60,100};
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- do
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- for ORDER in {1,2,3};
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+ # for POP in {20,60,100};
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+ # do
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+ for ORDER in {1,2};
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do
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- for LS in {1000,5000,10000};
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+ for LS in {100,500,1000};
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do
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output="rendering-attributes-POP_${POP}-LS_${LS}-SS_${SS}-SO_${ORDER}-SE_${TRAIN_EVERY}-RUN_${run}"
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echo "Run optim attributes using: ${output}"
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python find_best_attributes_surrogate.py --data ${DATASET} --start_surrogate ${SS} --length 32 --ils ${ILS} --ls ${LS} --pop ${POP} --order ${ORDER} --train_every ${TRAIN_EVERY} --output ${output}
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done
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done
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- done
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+ # done
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done
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