[{'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:from sklearn.neural_network import MLPClassifier\nclf = MLPClassifier(solver='lbfgs', alpha=1e-5, hidden_layer_sizes=(5, 2), random_state=1)\nclf.fit(training_data, training_labels)\nMLPClassifier(activation='relu', alpha=1e-05, batch_size='auto',\nbeta_1=0.9, beta_2=0.999, early_stopping=False,\nepsilon=1e-08, hidden_layer_sizes=(5, 2), learning_rate='constant',\nlearning_rate_init=0.001, max_iter=200, momentum=0.9,\nnesterovs_momentum=True, power_t=0.5, random_state=1, shuffle=True,\nsolver='lbfgs', tol=0.0001, validation_fraction=0.1, verbose=False,\nwarm_start=False)"}, {'role': 'assistant', 'content': "['helper_functions', 'modelling']"}]