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results_models-parameters_list.txt

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+{"Dataset": "Binary Colon", "Binary": "True", "Image": False, "TM_use": false, "value": None, "Interpolation_value": None, "Noise": false, "noise_type": false, "augmentation": false, "shear_factor": None, "shear_prop": 0, "crop_scale_factor": None, "crop_scale_prop": 0, "flip_code": None, "flip_prop": 0, "rotation_angle": None, "rotate_prop": 0, "color_number": None, "color_prop": 0, "blur_param": None, "blur_prop": 0, "features": False, "glcm_distance": None, "glcm_angle": None, "glcm_prop": 0, "lbp_radius": None, "lbp_prop": 0, "haralick_prop": 0, "Machine": "Binary SVM", "lr": None, "epochs": None}
+
+{"Dataset": "Binary Colon", "Binary": "True", "Image": False, "TM_use": false, "value": None, "Interpolation_value": None, "Noise": false, "noise_type": false, "augmentation": false, "shear_factor": None, "shear_prop": 0, "crop_scale_factor": None, "crop_scale_prop": 0, "flip_code": None, "flip_prop": 0, "rotation_angle": None, "rotate_prop": 0, "color_number": None, "color_prop": 0, "blur_param": None, "blur_prop": 0, "features": False, "glcm_distance": None, "glcm_angle": None, "glcm_prop": 0, "lbp_radius": None, "lbp_prop": 0, "haralick_prop": 0, "Machine": "Binary KNN", "lr": None, "epochs": None}
+
+{"Dataset": "Binary Lung", "Binary": "True", "Image": False, "TM_use": false, "value": None, "Interpolation_value": None, "Noise": false, "noise_type": false, "augmentation": false, "shear_factor": None, "shear_prop": 0, "crop_scale_factor": None, "crop_scale_prop": 0, "flip_code": None, "flip_prop": 0, "rotation_angle": None, "rotate_prop": 0, "color_number": None, "color_prop": 0, "blur_param": None, "blur_prop": 0, "features": False, "glcm_distance": None, "glcm_angle": None, "glcm_prop": 0, "lbp_radius": None, "lbp_prop": 0, "haralick_prop": 0, "Machine": "Binary SVM", "lr": None, "epochs": None}
+
+{"Dataset": "Binary Lung", "Binary": "True", "Image": False, "TM_use": false, "value": None, "Interpolation_value": None, "Noise": false, "noise_type": false, "augmentation": false, "shear_factor": None, "shear_prop": 0, "crop_scale_factor": None, "crop_scale_prop": 0, "flip_code": None, "flip_prop": 0, "rotation_angle": None, "rotate_prop": 0, "color_number": None, "color_prop": 0, "blur_param": None, "blur_prop": 0, "features": False, "glcm_distance": None, "glcm_angle": None, "glcm_prop": 0, "lbp_radius": None, "lbp_prop": 0, "haralick_prop": 0, "Machine": "Binary KNN", "lr": None, "epochs": None}
+

run_on_scc.sh

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+#!/bin/bash
+
+if ! pgrep -u "$USER" ssh-agent > /dev/null; then
+    eval "$(ssh-agent -s)"
+fi
+
+ssh-add ~/.ssh/id_rsa
+
+# Define variables
+LOCAL_INPUT="results/models-parameters_list.txt"
+REMOTE_DIR="../../../projectnb/mlresearch/master"
+REMOTE_SCRIPT="$REMOTE_DIR/main.py"
+OUTPUT_FILE="results/evaluation_scores.txt"
+REMOTE_OUTPUT="$REMOTE_DIR/$OUTPUT_FILE"
+LOCAL_OUTPUT="results/evaluation_scores.txt"
+REMOTE_SERVER="[email protected]"
+
+# Step 1: Transfer the text file to the SCC
+scp $LOCAL_INPUT $REMOTE_SERVER:$REMOTE_DIR
+
+# Step 2: Run the Python script on the SCC
+ssh $REMOTE_SERVER "python3 $REMOTE_SCRIPT > $REMOTE_OUTPUT"
+
+# Step 3: Transfer the result back to the local machine
+scp $REMOTE_SERVER:$REMOTE_OUTPUT $LOCAL_OUTPUT
+
+# Optional: Print message
+echo "File transfer and processing complete."
+