[{'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:# Registering custom activations suitable for tabular problems\n\nfrom tensorflow.keras.utils import get_custom_objects\nfrom tensorflow.keras.layers import Activation, LeakyReLU\nfrom deep_learning_for_tabular_data.tabular import gelu, Mish, mish\n\n# Add gelu so we can use it as a string\nget_custom_objects().update({'gelu': Activation(gelu)})\n\n# Add mish so we can use it as a string\nget_custom_objects().update({'mish': Mish(mish)})\n\n# Add leaky-relu so we can use it as a string\nget_custom_objects().update({'leaky-relu': Activation(LeakyReLU(alpha=0.2))})"}, {'role': 'assistant', 'content': "['helper_functions']"}]