{"kind":"task","effective_mode":"full","benchmark":{"kind":"benchmark","effective_mode":"full","slug":"ds-1000","formal_name":"DS-1000","introduction":"DS-1000 builds 1,000 data-science problems from real StackOverflow questions across seven libraries including NumPy, Pandas and Matplotlib. The problems are perturbed so that recalling the original answer does not solve them.","introduction_ja":"","introduction_en":"","category":"Category not supplied","task_count":null,"acquisition_status":"Acquisition status not supplied","official_url":"https://ds1000-code-gen.github.io/","indexing_mode":"index","profile":{"resources":[],"task_format":"","scoring":"","metric":"","size":"","answer_access":"","license":"","citation":"","maintainer":"","released":"","why_hard":"","related":[],"history":"","construction":"","limitations":"","saturation":"","scores":[]}},"task_id":"b3873e64-1995-5156-965a-5d4a8b8b27e3","task_key":"default--test--853","task_revision_id":"1","upstream_id":"853","short_description":"Is it possible to pass a custom function as a preprocessor to TfidfVectorizer?","config":"default","split":"test","body":"{\"library\":\"Sklearn\",\"prompt\":\"Problem:\\n\\nIs it possible to pass a custom function as a preprocessor to TfidfVectorizer?\\nI want to write a function \\\"prePro\\\" that can turn every capital letter to lowercase letter.\\nThen somehow set the processor parameter to TfidfTVectorizer like \\\"preprocessor=prePro\\\". However, it doesn't work. I searched a lot but didn't find any examples useful.\\nCan anyone help me about this?\\n\\nA:\\n\\n<code>\\nimport numpy as np\\nimport pandas as pd\\nfrom sklearn.feature_extraction.text import TfidfVectorizer\\n</code>\\nsolve this question with example variable `tfidf`\\nBEGIN SOLUTION\\n<code>\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://ds1000-code-gen.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}