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@@ -14,7 +14,7 @@ if [ -z "$2" ]
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exit 1
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fi
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-
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+result_filename="models_info/models_comparisons.csv"
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VECTOR_SIZE=200
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size=$1
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metric=$2
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@@ -25,42 +25,49 @@ scenes="A, D, G, H"
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half=$(($size/2))
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start=-$half
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for counter in {0..4}; do
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-end=$(($start+$size))
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+ end=$(($start+$size))
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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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- echo $start $end
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+ echo $start $end
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- for mode in {"svd","svdn","svdne"}; do
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- for model in {"svm_model","ensemble_model","ensemble_model_v2"}; do
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+ for mode in {"svd","svdn","svdne"}; do
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+ for model in {"svm_model","ensemble_model","ensemble_model_v2"}; do
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- FILENAME="data/data_maxwell_N${size}_B${start}_E${end}_nb_zones_${nb_zones}_${metric}_${mode}"
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- MODEL_NAME="${model}_N${size}_B${start}_E${end}_nb_zones_${nb_zones}_${metric}_${mode}"
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+ FILENAME="data/data_maxwell_N${size}_B${start}_E${end}_nb_zones_${nb_zones}_${metric}_${mode}"
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+ MODEL_NAME="${model}_N${size}_B${start}_E${end}_nb_zones_${nb_zones}_${metric}_${mode}"
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- echo $FILENAME
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- python generate_data_model_random.py --output ${FILENAME} --interval "${start},${end}" --kind ${mode} --metric ${metric} --scenes "${scenes}" --nb_zones "${nb_zones}" --percent 1 --sep ';' --rowindex '0'
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- python models/${model}_train.py --data ${FILENAME}.train --output ${MODEL_NAME}
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-
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- python predict_seuil_expe_maxwell.py --interval "${start},${end}" --model "saved_models/${MODEL_NAME}.joblib" --mode "${mode}" --metric ${metric} --limit_detection '2'
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- python save_model_result_in_md_maxwell.py --interval "${start},${end}" --model "saved_models/${MODEL_NAME}.joblib" --mode "${mode}" --metric ${metric}
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+ echo $FILENAME
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+
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+ # only compute if necessary (perhaps server will fall.. Just in case)
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+ if grep -q "${MODEL_NAME}" "${result_filename}"; then
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+
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+ echo "${MODEL_NAME} results already generated..."
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+ else
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+ python generate_data_model_random.py --output ${FILENAME} --interval "${start},${end}" --kind ${mode} --metric ${metric} --scenes "${scenes}" --nb_zones "${nb_zones}" --percent 1 --sep ';' --rowindex '0'
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+ python models/${model}_train.py --data ${FILENAME}.train --output ${MODEL_NAME}
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+
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+ python predict_seuil_expe_maxwell.py --interval "${start},${end}" --model "saved_models/${MODEL_NAME}.joblib" --mode "${mode}" --metric ${metric} --limit_detection '2'
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+ python save_model_result_in_md_maxwell.py --interval "${start},${end}" --model "saved_models/${MODEL_NAME}.joblib" --mode "${mode}" --metric ${metric}
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+ fi
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+ done
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done
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done
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-done
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-if [ "$counter" -eq "0" ]; then
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- start=$(($start+50-$half))
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-else
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- start=$(($start+50))
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-fi
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+ if [ "$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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