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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.
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
