Thanks for the reply will definitely try to PR this issue. Regrads
On Tue, Feb 13, 2018 at 2:10 AM, Joel Nothman <joel.noth...@gmail.com> wrote: > [image: Boxbe] <https://www.boxbe.com/overview> This message is eligible > for Automatic Cleanup! (joel.noth...@gmail.com) Add cleanup rule > <https://www.boxbe.com/popup?url=https%3A%2F%2Fwww.boxbe.com%2Fcleanup%3Fkey%3DuqkWSr%252BR2TomMQjtCsKDwuR497dgfu%252B%252BsV6BH0Srgzk%253D%26token%3DKmQvPle4AKcIPXpOHGKHNXIfz2zYhC56nOXb6xSIhACDfzN9%252F%252BJNxyUy%252B2NT%252BN4wyUvSGxc%252Fbgk99rZO6aq%252FXQjWPccDGG%252FHNnTuPJ%252Ba1Ua67%252B7deDdWpxThJV2astLx7xIOO0gzq7fQ9Id2dTIRTg%253D%253D&tc_serial=36654532645&tc_rand=934517463&utm_source=stf&utm_medium=email&utm_campaign=ANNO_CLEANUP_ADD&utm_content=001> > | More info > <http://blog.boxbe.com/general/boxbe-automatic-cleanup?tc_serial=36654532645&tc_rand=934517463&utm_source=stf&utm_medium=email&utm_campaign=ANNO_CLEANUP_ADD&utm_content=001> > > presuming there are clear applications for this, other models should be > able to support mixed targets similarly, like MLP. since we don't really > have an API design for this, it might take some time to find consensus on > what it should look like. but a PR would be a good way to concretely > consider it. > > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn > > -- Regards
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