[{'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:class PositiveIntegerGradientBoostingRegressor(GradientBoostingRegressor):\ndef predict(self, X):\nprediction = super(PositiveIntegerGradientBoostingRegressor, self).predict(X)\nreturn numpy.around(prediction.clip(0))\nparam_grid = [\n{'max_depth': list(range(1,15))}\n]\nregressor = PositiveIntegerGradientBoostingRegressor(n_estimators=100)\nscorer = metrics.make_scorer(score_func=rmsle,\ngreater_is_better=False)\nmodel = model_selection.GridSearchCV(regressor,\nparam_grid,\nscorer,\nn_jobs=4)"}, {'role': 'assistant', 'content': "['evaluation', 'modelling']"}]