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- #!/bin/bash
- erased=$1
- if [ "${erased}" == "Y" ]; then
- echo "Previous data file erased..."
- rm ${file_path}
- mkdir -p models_info
- touch ${file_path}
- # add of header
- echo 'model_name; global_train_size; global_test_size; filtered_train_size; filtered_test_size; f1_train; f1_test; recall_train; recall_test; presicion_train; precision_test; acc_train; acc_test; roc_auc_train; roc_auc_test;' >> ${file_path}
- fi
- metric="svd_reconstruction"
- # file which contains model names we want to use for simulation
- comparisons_models="models_info/models_comparisons.csv"
- for begin in {80,85,90,95,100,105,110}; do
- for end in {150,160,170,180,190,200}; do
- # python generate_reconstructed_data.py --metric ${metric} --interval "${begin}, ${end}"
- for zone in {6,8,10,12}; do
- OUTPUT_DATA_FILE="${metric}_nb_zones_${zone}_B${begin}_E${end}"
- if grep -xq "${OUTPUT_DATA_FILE}" "${comparisons_models}"; then
-
- echo "Run simulation for model ${OUTPUT_DATA_FILE}"
- python generate_dataset.py --output data/${OUTPUT_DATA_FILE} --metric ${metric} --renderer "maxwell" --scenes "A, D, G, H" --interval "${begin}, ${end}" --nb_zones ${zone} --random 1
-
- python train_model.py --data data/${OUTPUT_DATA_FILE} --output ${OUTPUT_DATA_FILE}
- done
- done
- done
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