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DS-1000 / 852 / How can I pass a preprocessor to TfidfVectorizer? I made a function "preprocess"…

Problem

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Problem:

How 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.
the preprocessor looks like
def preprocess(s):
    return s.upper()


A:

<code>
import numpy as np
import pandas as pd
from sklearn.feature_extraction.text import TfidfVectorizer
</code>
solve this question with example variable `tfidf`
BEGIN SOLUTION
<code>

library

Sklearn

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Source and history

upstream_id / Original problem ID
852
task_id
517fe741-da28-5fc0-9b9b-646797ccfb7b
task_key
default--test--852
task_revision_id
1
config / split
default / test

Official source

initial import