[{'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 scipy import sparse\nfrom scipy.sparse import csr_matrix\nfrom scipy.sparse import coo_matrix, hstack\ndef first_preprocessor(s):\ns=s.lower()\ns=re.sub("[,.!?:;/~*]"," ",s)\ns=re.sub("[0-9]*","",s)\ns=re.sub("[0-9]{5,}","",s)\ns=re.sub("ly\\s"," ",s)\ns=re.sub("s\\s"," ",s)\ns=re.sub("s\\Z"," ",s)\ns=re.sub("[_]+"," ",s)\ns=re.sub("\\s[_]+"," ",s)\ns=re.sub("ness\\s"," ",s)\ns=re.sub("ing\\s"," ",s)\ns=re.sub("\\s[0-9a-z]{1,2}\\s"," ",s)\ns=re.sub("\\s[0-9a-z]{1,2}\\Z"," ",s)\nreturn s\ndef empty_preprocessor(s):\nreturn s\ndef tune_para(L1,L2):\nmodel_LG_L1 = LogisticRegression(penalty =\'l1\',C=L1)\nmodel_LG_L1.fit(word_matrix_process, train_labels)\nindex=[]\nfor i,z in enumerate(np.sum(np.abs(model_LG_L1.coef_),axis=0) ):\nif z!=0:\nindex.append(i)\nmodel_LG_L2 = LogisticRegression(penalty =\'l2\',C=L2 )\nmodel_LG_L2.fit(word_matrix_process[:,index], train_labels)\nf1_score=metrics.f1_score(dev_labels,model_LG_L2.predict(dev_matrix_process[:,index]),average=\'binary\')\nreturn f1_score'}, {'role': 'assistant', 'content': "['helper_functions', 'data_preprocessing', 'modelling']"}]