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I'm new in data science. I read context . It saids "The clf (for classifier) estimator instance is first fitted to the model; that is, it must learn from the model. ...." and example shows: >>>clf.fit(digits.data[:-1], digits.target[:-1])

I don't understand why clf classifier "learn from the model". As example shows, I think classifier should learn from data, since it fits data to the clf classifier.

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That looks like a typo to me.

As part of your learning journey, you could contribute a change in that tutorial replacing "model" with "data". See How to contribute scikit-learn documentation. The sources of that tutorial are here

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  • $\begingroup$ thank you. I think I'll learn more. $\endgroup$
    – Mike Liu
    Commented Sep 18, 2023 at 2:45

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