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- #! bin/bash
- # file which contains model names we want to use for simulation
- simulate_models="simulate_models.csv"
- # selection of four scenes (only maxwell)
- scenes="A, D, G, H"
- VECTOR_SIZE=200
- # selection of four scenes (only maxwell)
- scenes="A, D, G, H"
- for size in {"4","8","16","26","32","40"}; do
- # for feature in {"lab","mscn","low_bits_2","low_bits_3","low_bits_4","low_bits_5","low_bits_6","low_bits_4_shifted_2","ica_diff","svd_trunc_diff","ipca_diff","svd_reconstruct"}; do
- for feature in {"highest_sv_std_filters_full","lowest_sv_std_filters_full"}; do
- for nb_zones in {4,6,8,10,12}; do
- for mode in {"svd","svdn","svdne"}; do
- for model in {"svm_model","ensemble_model","ensemble_model_v2"}; do
- FILENAME="data/${model}_N${size}_B0_E${size}_nb_zones_${nb_zones}_${feature}_${mode}"
- MODEL_NAME="${model}_N${size}_B0_E${size}_nb_zones_${nb_zones}_${feature}_${mode}"
- CUSTOM_MIN_MAX_FILENAME="N${size}_B0_E${size}_nb_zones_${nb_zones}_${feature}_${mode}_min_max"
- echo $MODEL_NAME
- # only compute if necessary (perhaps server will fall.. Just in case)
- if grep -q "${MODEL_NAME}" "${simulate_models}"; then
- echo "Run simulation for ${MODEL_NAME}..."
- # Use of already generated model
- # python generate/generate_data_model_random.py --output ${FILENAME} --interval "0,${size}" --kind ${mode} --feature ${feature} --scenes "${scenes}" --nb_zones "${nb_zones}" --percent 1 --renderer "maxwell" --step 40 --random 1 --custom ${CUSTOM_MIN_MAX_FILENAME}
- # python train_model.py --data ${FILENAME} --output ${MODEL_NAME} --choice ${model}
- python prediction/predict_seuil_expe_maxwell_curve.py --interval "0,${size}" --model "saved_models/${MODEL_NAME}.joblib" --mode "${mode}" --feature ${feature} --limit_detection '2' --custom ${CUSTOM_MIN_MAX_FILENAME}
- python others/save_model_result_in_md_maxwell.py --interval "0,${size}" --model "saved_models/${MODEL_NAME}.joblib" --mode "${mode}" --feature ${feature}
- fi
- done
- done
- done
- done
- done
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