[scikit-learn] Version 0.21! and plot_tree!

[Andrew Howe]

Andy

To be honest, I've kind of outgrown matplotlib, and do all my viz with
plotly. It's much less mature of a package, and the documentation seems to
leave much to be desired. However, the interactivity and html/javascript
basis is worth that trade-off for me. So yes, ultimately, I'd like to see
tree_plot generate tree visualizations with which the user can interact.
Same for all sklearn plots, really.

The tree rotation is not something I want - I'd never found it useful in
other applications. Just figured I would mention it as feedback. I'd go
with you on deleting the arg.

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 Wed, Dec 4, 2019 at 4:14 PM Andreas Mueller <t3kcit at gmail.com> wrote:

> 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 <t3kcit at 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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