Computer scienceData scienceInstrumentsScikit-learnData preprocessing with scikit-learn

TF-IDF in scikit-learn

Theory

Old MacDonald Had A Farm

Report a typo

Please note: for now, when you go to the tab IDE, you can solve this problem only via PyСharm. We are sorry for the inconvenience, we will fix this as soon as we can. If you prefer to solve the problem via a different IDE, you should open it manually and then copy the solution to the website.

Build a TF-IDF matrix for the given file and output the TF-IDF score for the element at position (0, 10).

Please use the following parameters for your vectorizer:

vectorizer = TfidfVectorizer(input='file', use_idf=True, lowercase=True,
                             analyzer='word', ngram_range=(1, 1),
                             stop_words=None)
Write code in your IDE to process the text file and display the results below
___

Create a free account to access the full topic