Hey Andrew.
Thanks for your feedback!
On 12/4/19 5:19 AM, Andrew Howe wrote:
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
Somehow I feel like an interactive visualization would be more useful
for that. Don't you think?
There are tree exploration tools that we could run in jupyter.
If we can do it with just CSS (which is actually reasonably plausible),
then we could ship this with scikit-learn.
That would be completely orthogonal to the matplotlib based code, though.
I had thought about whether it might make sense to do a html based tree
visualization recently and thought it might actually be nicer than the
matplotlib one.
Thoughts?
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.
There seems to be a recent issue:
https://github.com/scikit-learn/scikit-learn/issues/15694
Is that a feature you really want? That's just me copying something I
didn't mean to copy, and it's not implemented at all.
We could implement it, but I was leaning towards just deleting it.
Cheers,
Andy
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
<mailto: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
<~~~~~~~~~~~~~~~~~~~~~~~~~~~>
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