[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify the code snippets into categories from the provided list of categories. List of categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']"}, {'role': 'user', 'content': "Identify to which category the provided code belongs and assign the code snippet to at least 1 but up to 5 categories based on the probabilities, ignore if the probability of the category is negligible. Strictly provide your response as a list. Avoid providing any additional information, commentary, or personal opinions.\\nPython Code:hls_image = cv2.cvtColor(image, cv2.COLOR_RGB2HLS)\norient         = 9\npix_per_cell   = 4\ncell_per_block = 4\nfeatures, hog_image = get_hog_features(hls_image[:,:,0], orient,\npix_per_cell, cell_per_block,\nvis=True, feature_vec=False)\nfeatures, hog_image2 = get_hog_features(hls_image[:,:,1], orient,\npix_per_cell, cell_per_block,\nvis=True, feature_vec=False)\nfeatures, hog_image3 = get_hog_features(hls_image[:,:,2], orient,\npix_per_cell, cell_per_block,\nvis=True, feature_vec=False)\nfig = plt.figure()\nplt.subplot(121)\nplt.imshow(hls_image[:,:,0])\nplt.title('H- Channel')\nplt.subplot(122)\nplt.imshow(hog_image, cmap='gray')\nplt.title('HOG ')\nplt.show()\nfig = plt.figure()\nplt.subplot(121)\nplt.imshow(hls_image[:,:,1])\nplt.title('L - Channel')\nplt.subplot(122)\nplt.imshow(hog_image2, cmap='gray')\nplt.title('HOG ')\nplt.show()\nfig = plt.figure()\nplt.subplot(121)\nplt.imshow(hls_image[:,:,2])\nplt.title('S - Channel')\nplt.subplot(122)\nplt.imshow(hog_image3, cmap='gray')\nplt.title('HOG ')\nplt.show()"}, {'role': 'assistant', 'content': "['data_exploration', 'data_preprocessing']"}]