{"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":"517fe741-da28-5fc0-9b9b-646797ccfb7b","task_key":"default--test--852","task_revision_id":"1","upstream_id":"852","short_description":"How can I pass a preprocessor to TfidfVectorizer? I made a function \"preprocess\"…","config":"default","split":"test","body":"{\"library\":\"Sklearn\",\"prompt\":\"Problem:\\n\\nHow can I pass a preprocessor to TfidfVectorizer? I made a function \\\"preprocess\\\" that takes a string and returns a preprocessed string then I set processor parameter to that function \\\"preprocessor=preprocess\\\", but it doesn't work. I've searched so many times, but I didn't found any example as if no one use it.\\nthe preprocessor looks like\\ndef preprocess(s):\\n    return s.upper()\\n\\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":[]}