On 07/06/2017 12:41 PM, G Reina wrote:
The fact that too many tutorials and examples rely on it is not a
reason to keep the dataset. New tutorials are written all the time.
And, as sklearn evolves some of the existing tutorials will need to be
updated anyway to keep up with the changes.
No, we try to avoid that as much as possible.
Old examples should work for as long as possible, and we actively avoid
breaking API unnecessarily. It's one of the core principles of
scikit-learn development.
And new tutorials can use any dataset they choose. We are working on
including an openml fetcher, which allows using more datasets more easily.
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