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@@ -15,13 +15,13 @@ DATASET="rnn/data/datasets/features-selection-rendering-scaled/features-selectio
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for POP in {20,60,100};
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for POP in {20,60,100};
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do
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do
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- for ORDER in {2,3};
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+ for ORDER in {1,2,3};
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do
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do
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for LS in {1000,5000,10000};
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for LS in {1000,5000,10000};
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do
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do
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output="rendering-attributes-POP_${POP}-LS_${LS}-SS_${SS}-SO_${ORDER}-SE_${TRAIN_EVERY}"
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output="rendering-attributes-POP_${POP}-LS_${LS}-SS_${SS}-SO_${ORDER}-SE_${TRAIN_EVERY}"
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echo "Run optim attributes using: ${output}"
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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 30 --ils ${ILS} --ls ${LS} --pop ${POP} --order ${ORDER} --train_every ${TRAIN_EVERY} --output ${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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done
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