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@@ -7,52 +7,50 @@ if [ -z "$1" ]
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exit 1
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fi
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-VECTOR_SIZE=$1
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+VECTOR_SIZE=200
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+size=$1
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# selection of four scenes (only maxwell)
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scenes="A, D, G, H"
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-for size in {"4","8","16","26","32","40"}; do
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+half=$(($size/2))
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+start=-$half
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+for counter in {0..4}; do
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+end=$(($start+$size))
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- half=$(($size/2))
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- start=-$half
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- for counter in {0..4}; do
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- end=$(($start+$size))
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-
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- if [ "$end" -gt "$VECTOR_SIZE" ]; then
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- start=$(($VECTOR_SIZE-$size))
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- end=$(($VECTOR_SIZE))
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- fi
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+if [ "$end" -gt "$VECTOR_SIZE" ]; then
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+ start=$(($VECTOR_SIZE-$size))
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+ end=$(($VECTOR_SIZE))
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+fi
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- if [ "$start" -lt "0" ]; then
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- start=$((0))
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- end=$(($size))
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- fi
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+if [ "$start" -lt "0" ]; then
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+ start=$((0))
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+ end=$(($size))
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+fi
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- for nb_zones in {6,8,10,12,16}; do
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+for nb_zones in {6,8,10,12,16}; do
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- for mode in {"svd","svdn","svdne"}; do
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+ echo $start $end
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+ for mode in {"svd","svdn","svdne"}; do
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- for model in {"svm_model","ensemble_model","ensemble_model_v2"}; do
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+ for model in {"svm_model","ensemble_model","ensemble_model_v2"}; do
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- FILENAME="data_svm/data_maxwell_N${size}_B${start}_E${end}_nb_zones_${nb_zones}_${mode}"
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- MODEL_NAME="${model}_N${size}_B${start}_E${end}_nb_zones_${nb_zones}_${mode}"
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+ FILENAME="data_svm/data_maxwell_N${size}_B${start}_E${end}_nb_zones_${nb_zones}_${mode}"
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+ MODEL_NAME="${model}_N${size}_B${start}_E${end}_nb_zones_${nb_zones}_${mode}"
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- echo $FILENAME
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- python generate_data_svm_random.py --output ${FILENAME} --interval "${start},${end}" --kind ${mode} --scenes "${scenes}" --nb_zones "${nb_zones}" --percent 1 --sep ';' --rowindex '0'
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- python models/${model}_train.py --data ${FILENAME}.train --output ${MODEL_NAME}
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- python predict_seuil_expe.py --interval "${start}, ${end}" --model "./saved_models/${MODEL_NAME}.joblib" --mode "${mode}" --limit_detection '2'
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- python save_model_result_in_md.py --interval "${start}, ${end}" --model "./saved_models/${MODEL_NAME}.joblib" --mode "${mode}"
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- done
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+ echo $FILENAME
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+ python generate_data_svm_random.py --output ${FILENAME} --interval "${start},${end}" --kind ${mode} --scenes "${scenes}" --nb_zones "${nb_zones}" --percent 1 --sep ';' --rowindex '0'
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+ python models/${model}_train.py --data ${FILENAME}.train --output ${MODEL_NAME}
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+ python predict_seuil_expe.py --interval "${start}, ${end}" --model "./saved_models/${MODEL_NAME}.joblib" --mode "${mode}" --limit_detection '2'
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+ python save_model_result_in_md.py --interval "${start}, ${end}" --model "./saved_models/${MODEL_NAME}.joblib" --mode "${mode}"
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done
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done
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+done
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- if [ "$counter" -eq "0" ]; then
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- start=$(($start+50-$half))
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- else
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- start=$(($start+50))
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- fi
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-
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- done
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+if [ "$counter" -eq "0" ]; then
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+ start=$(($start+50-$half))
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+else
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+ start=$(($start+50))
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+fi
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-done
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+done
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