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DecisionTreeVisualizer

See original GitHub issue

It would be cool to implement a DecisionTreeVisualizer such as the one described in this blog post.

Issue Analytics

State:
Created 7 years ago
Comments:7 (4 by maintainers)

Top GitHub Comments

2reactions

amuellercommented, Apr 11, 2017

Oh also we allowed returning the source directly from the export_graphviz so you can now do

graphviz.Source(export_graphviz(tree, file=None))

and have it show up in the jupyter notebook.

1reaction

amuellercommented, Apr 13, 2017

Well for a user it would be pretty insane to use matplotlib instead of dot. But that’s beside the point. We only need to write the tree visualization once to fix the packaging issues for everybody trying to visualize scikit-learn decision trees.

Sent from phone. Please excuse spelling and brevity.

On Apr 12, 2017 15:51, “Benjamin Bengfort” notifications@github.com wrote:

@amueller https://github.com/amueller I’d certainly be interested in trying a pure matplotlib version of the tree; though using matplotlib for drawing trees is notoriously difficult. A quick Google lifted this:

https://llimllib.github.io/pymag-trees/

But almost everyone else recommends using dot.

— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/DistrictDataLabs/yellowbrick/issues/145#issuecomment-293688316, or mute the thread https://github.com/notifications/unsubscribe-auth/AAbcFv6wy4lYKFgxg_QqyP_IBjTF9j1xks5rvSs1gaJpZM4MTR0b .

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