|
|
@@ -1,16 +1,16 @@
|
|
|
#! /bin/bash
|
|
|
|
|
|
# default param
|
|
|
-ILS=100000
|
|
|
+ILS=1000
|
|
|
LS=100
|
|
|
SS=50
|
|
|
LENGTH=32 # number of features
|
|
|
POP=100
|
|
|
ORDER=2
|
|
|
-TRAIN_EVERY=20
|
|
|
+TRAIN_EVERY=50
|
|
|
|
|
|
|
|
|
-output="rendering-attributes-ILS_${ILS}-POP_${POP}-LS_${LS}-SS_${SS}-SO_${ORDER}-SE_${TRAIN_EVERY}"
|
|
|
+#output="rendering-attributes-ILS_${ILS}-POP_${POP}-LS_${LS}-SS_${SS}-SO_${ORDER}-SE_${TRAIN_EVERY}"
|
|
|
DATASET="rnn/data/datasets/features-selection-rendering-scaled/features-selection-rendering-scaled"
|
|
|
|
|
|
for POP in {20,60,100};
|
|
|
@@ -19,7 +19,7 @@ do
|
|
|
do
|
|
|
for LS in {100,500,1000};
|
|
|
do
|
|
|
- output="rendering-attributes-ILS_${ILS}-POP_${POP}-LS_${LS}-SS_${SS}-SO_${ORDER}-SE_${TRAIN_EVERY}"
|
|
|
+ output="rendering-attributes-POP_${POP}-LS_${LS}-SS_${SS}-SO_${ORDER}-SE_${TRAIN_EVERY}"
|
|
|
echo "Run optim attributes using: ${output}"
|
|
|
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}
|
|
|
done
|
