If I could pitch in, it would be lovely, very lovely indeed, if scikit-learn models could:
- operate on sparse data, both input and output by default - implement some kind of sparse vector representation (as in https://github.com/scikit-learn/scikit-learn/issues/8908 ) - perhaps have a unifiying numpy.array / scipy.sparse_matrix interface to give people some slack on jumping betwen [] operator conventions We would benefit from that strongly in scikit-multilearn, as when a multi-output problem is transformed to a single-output problem based on unique combinations, this representation has to be dense for scikit-learn at the moment. We end up losing some speed there. I'm sure other libraries like ex. imbalanced-learn, or scikit-multiflow would also see these as a huge thing. Best, Piotr On Sun, Jul 14, 2019 at 8:44 PM Andreas Mueller <t3k...@gmail.com> wrote: > Hi all. > At SciPy, Brian Granger raised a good point about their planning for the > Jupyter Project, which is the importance of long-term goals. > > I think it's great that we now have a detailed short-term roadmap > (https://scikit-learn.org/dev/roadmap.html). > Given that we now have about 6(!) full time people (Oliver, Jeremy, > Guillaume, Nicolas, Thomas, Adrin) on scikit-learn (GO TEAM!!), I think > it's realistic > to achieve most of these within a year or two. We have actually made > some significant progress already. > > I think now would be a good time to start thinking about a longer-term > roadmap, say 3-5 years out. > What do we want to achieve? What are realistic goals, and what are > moonshot goals? > Having a common vision and shared goals might help us with funding, but > might also help us with prioritization and motivation. > > What do you think? Do you think this is important and worth-while? > And what should our goals be? > > Best, > Andy > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn > -- Piotr Szymański nied...@gmail.com
_______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn
