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@@ -14,7 +14,7 @@ for size in {"4","8","16","26","32","40"}; do
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# for metric 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
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for metric in {"highest_sv_std_filters","lowest_sv_std_filters"}; do
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-
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+
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for nb_zones in {4,6,8,10,12}; 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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@@ -26,7 +26,7 @@ for size in {"4","8","16","26","32","40"}; do
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echo $FILENAME
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# only compute if necessary (perhaps server will fall.. Just in case)
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- if grep -q "${MODEL_NAME}" "${result_filename}"; then
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+ if grep -q "${MODEL_NAME}" "${simulate_models}"; then
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echo "${MODEL_NAME} results already generated..."
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else
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@@ -34,6 +34,8 @@ for size in {"4","8","16","26","32","40"}; do
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# python generate_data_model_random.py --output ${FILENAME} --interval "0,${size}" --kind ${mode} --metric ${metric} --scenes "${scenes}" --nb_zones "${nb_zones}" --percent 1 --renderer "maxwell" --step 40 --random 1 --custom ${CUSTOM_MIN_MAX_FILENAME}
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# python train_model.py --data ${FILENAME} --output ${MODEL_NAME} --choice ${model}
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+ python predict_seuil_expe_maxwell_curve.py --interval "0,${end}" --model "saved_models/${MODEL_NAME}.joblib" --mode "${mode}" --metric ${metric} --limit_detection '2' --custom ${CUSTOM_MIN_MAX_FILENAME}
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+
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python save_model_result_in_md_maxwell.py --interval "0,${size}" --model "saved_models/${MODEL_NAME}.joblib" --mode "${mode}" --metric ${metric}
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fi
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done
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