[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify code snippets into one of the following categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']."}, {'role': 'user', 'content': "Identify the single most appropriate category to which the provided code belongs. Provide your response as a single category label without any additional information, commentary, or personal opinions.\\nPython Code:features, hog_image = get_hog_features(image[:,:,0], orient,\npix_per_cell, cell_per_block,\nvis=True, feature_vec=False)\nfeatures, hog_image2 = get_hog_features(image[:,:,1], orient,\npix_per_cell, cell_per_block,\nvis=True, feature_vec=False)\nfeatures, hog_image3 = get_hog_features(image[:,:,2], orient,\npix_per_cell, cell_per_block,\nvis=True, feature_vec=False)\nfig = plt.figure()\nplt.subplot(121)\nplt.imshow(image[:,:,0])\nplt.title('Example Car Image')\nplt.subplot(122)\nplt.imshow(hog_image, cmap='gray')\nplt.title('HOG ')\nplt.show()\nfig = plt.figure()\nplt.subplot(121)\nplt.imshow(image[:,:,1])\nplt.title('Example Car Image')\nplt.subplot(122)\nplt.imshow(hog_image2, cmap='gray')\nplt.title('HOG ')\nplt.show()\nfig = plt.figure()\nplt.subplot(121)\nplt.imshow(image[:,:,2])\nplt.title('Example Car Image')\nplt.subplot(122)\nplt.imshow(hog_image3, cmap='gray')\nplt.title('HOG ')\nplt.show()"}, {'role': 'assistant', 'content': 'data_exploration'}]