I need this information to use it in a scientific study and I think that a function interface would make this easier.
Thank you for your answer. On Sat, Sep 16, 2017 at 1:53 PM, Joel Nothman <joel.noth...@gmail.com> wrote: > There is no such thing as "the data samples in this cluster". The point of > Birch being online is that it loses any reference to the individual samples > that contributed to each node, but stores some statistics on their basis. > Roman Yurchak has, however, offered a PR where, for the non-online case, > storage of the indices contributing to each node can be optionally turned > on: https://github.com/scikit-learn/scikit-learn/pull/8808 > > As for finding what is contained under any particular node, traversing the > tree is a fairly basic task from a computer science perspective. Before we > were to support something to make this much easier, I think we'd need to be > clear on what kinds of use case we were supporting. What do you hope to do > with this information, and what would a function interface look like that > would make this much easier? > > Decimals aren't a practical option as the branching factor may be greater > than 10, it is a hard structure to inspect, and susceptible to > computational imprecision. Better off with a list of tuples, but what for > that is not easy enough to do now? > > > > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn > >
_______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn
