Hi Andy I've been playing around with plot_tree for a while (clearly), and have some feedback finally. I'm not very concerned with the compactness of the tree. However, for large trees, it's not very easy to inspect or traverse. I think it could be very useful to add the following ways to *slice-and-dice* the tree:
- plot_tree_subtree_node - plots only the portion of the tree that could be accessed by traversing downwards from the specified node - plot_tree_subtree_class - plots the entire tree, highlighting all the traversals that lead to a specific class, other class leaf / branch nodes could be shrunk to save space Also, I have noted on ver 0.21.3 that the rotate argument does not seem to be working in either jupyter lab or ipython, though this seems like a known issue. Andrew <~~~~~~~~~~~~~~~~~~~~~~~~~~~> J. Andrew Howe, PhD LinkedIn Profile <http://www.linkedin.com/in/ahowe42> ResearchGate Profile <http://www.researchgate.net/profile/John_Howe12/> Open Researcher and Contributor ID (ORCID) <http://orcid.org/0000-0002-3553-1990> Github Profile <http://github.com/ahowe42> Personal Website <http://www.andrewhowe.com> I live to learn, so I can learn to live. - me <~~~~~~~~~~~~~~~~~~~~~~~~~~~> On Thu, May 23, 2019 at 4:24 PM Andreas Mueller <t3k...@gmail.com> wrote: > Hey Andrew. > Thanks for saying thanks! > I share your frustration with export_graphviz, in particular for teaching. > I feel like plot_tree is not ideal yet, though. In particular the layout > is not as compact as the graphviz one. > If you have any feedback or suggestions, I'd be very happy to hear them! > > Cheers, > Andy > > > On 5/23/19 10:39 AM, Andrew Howe wrote: > > I want to say thank you to all the sklearn developers. The breadth and > quality of this software is truly breathtaking. > > Specifically, I want to say thank you very very much for the plot_tree > function! I have wasted a lot of effort in the past, on multiple OSes, > getting everything to work so I could view the tree.export_graphviz > results. Having this new function to plot the trees natively in matplotlib > is extremely useful. > > Thanks again! > Andrew > > <~~~~~~~~~~~~~~~~~~~~~~~~~~~> > J. Andrew Howe, PhD > LinkedIn Profile <http://www.linkedin.com/in/ahowe42> > ResearchGate Profile <http://www.researchgate.net/profile/John_Howe12/> > Open Researcher and Contributor ID (ORCID) > <http://orcid.org/0000-0002-3553-1990> > Github Profile <http://github.com/ahowe42> > Personal Website <http://www.andrewhowe.com> > I live to learn, so I can learn to live. - me > <~~~~~~~~~~~~~~~~~~~~~~~~~~~> > > _______________________________________________ > scikit-learn mailing > listscikit-learn@python.orghttps://mail.python.org/mailman/listinfo/scikit-learn > > > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn >
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