[{'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.linear_model import Lasso\n## Assiging different sets of alpha values to explore which can be the best fit for the model. \ntemp_msle = {}\nfor i in np.logspace(-10, -1, 20):\n    ## Assigin each model. \n    lasso = Lasso(alpha= i, normalize=True, tol = 0.1)\n    ## fit the model. \n    lasso.fit(X_train, y_train)\n    ## Predicting the target value based on "Test_x"\n    pred = lasso.predict(X_test)\n\n    msle = np.sqrt(metrics.mean_squared_log_error(np.exp(y_test), np.exp(pred)))\n    temp_msle[i] = msle'}, {'role': 'assistant', 'content': "['modelling']"}]