Add of stats simulation run script

simulation/run_maxwell_simulation_stats.sh

@@ -0,0 +1,37 @@
+#! 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"
+
+feature="sub_blocks_stats_reduced"
+start_index=0
+end_index=24
+number=24
+
+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/${model}_N${number}_B${start_index}_E${end_index}_nb_zones_${nb_zones}_${feature}_${mode}"
+            MODEL_NAME="${model}_N${number}_B${start_index}_E${end_index}_nb_zones_${nb_zones}_${feature}_${mode}"
+
+            if grep -xq "${MODEL_NAME}" "${simulate_models}"; then
+                echo "Run simulation for model ${MODEL_NAME}"
+
+                # by default regenerate model
+                python generate/generate_data_model_random.py --output ${FILENAME} --interval "${start_index},${end_index}" --kind ${mode} --feature ${feature} --scenes "${scenes}" --nb_zones "${nb_zones}" --percent 1 --renderer "maxwell" --random 1
+
+                python train_model.py --data ${FILENAME} --output ${MODEL_NAME} --choice ${model}
+
+                python prediction/predict_seuil_expe_maxwell_curve.py --interval "${start_index},${end_index}" --model "saved_models/${MODEL_NAME}.joblib" --mode "${mode}" --feature ${feature} --limit_detection '2'
+
+                python others/save_model_result_in_md_maxwell.py --interval "${start_index},${end_index}" --model "saved_models/${MODEL_NAME}.joblib" --mode "${mode}" --feature ${feature}
+
+            fi
+        done
+    done
+done