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- #! bin/bash
- if [ -z "$1" ]
- then
- echo "No argument supplied"
- echo "Need of vector size"
- exit 1
- fi
- if [ -z "$2" ]
- then
- echo "No argument supplied"
- echo "Need of feature information"
- exit 1
- fi
- if [ -z "$3" ]
- then
- echo "No argument supplied"
- echo "Need of kind of data to use"
- exit 1
- fi
- if [ -z "$4" ]
- then
- echo "No argument supplied"
- echo "Use of filters or attributes"
- exit 1
- fi
- size=$1
- feature=$2
- data=$3
- filter=$4
- # selection of four scenes (only maxwell)
- scenes="A, D, G, H"
- result_filename="results/optimization_comparisons_${filter}.csv"
- start=0
- end=$size
- #for nb_zones in {4,6,8,10,12}; do
- for nb_zones in {10,12}; do
- for mode in {"svd","svdn","svdne"}; do
- #for model in {"svm_model","ensemble_model",""}; do
- model="svm_model"
- FILENAME="data/${model}_N${size}_B${start}_E${end}_nb_zones_${nb_zones}_${feature}_${mode}_${data}_${filter}"
- MODEL_NAME="${model}_N${size}_B${start}_E${end}_nb_zones_${nb_zones}_${feature}_${mode}_${data}_${filter}"
- CUSTOM_MIN_MAX_FILENAME="N${size}_B${start}_E${end}_nb_zones_${nb_zones}_${feature}_${mode}_${data}_${filter}_min_max"
- echo $FILENAME
- # only compute if necessary (perhaps server will fall.. Just in case)
- if grep -q "${MODEL_NAME}" "${result_filename}"; then
- echo "${MODEL_NAME} results already generated..."
- else
- python generate/generate_data_model_random_${data}.py --output ${FILENAME} --interval "${start},${end}" --kind ${mode} --feature ${feature} --scenes "${scenes}" --nb_zones "${nb_zones}" --percent 1 --renderer "maxwell" --step 40 --random 1 --custom ${CUSTOM_MIN_MAX_FILENAME}
-
- echo "Train ${MODEL_NAME}"
- python find_best_${filter}.py --data ${FILENAME} --choice ${model}
- fi
- #done
- done
- done
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