+1
On Oct 1, 2012 11:49 AM, "Peter Prettenhofer" <[email protected]>
wrote:
> Hi all,
>
> I recently wrote a decision tree viewer in D3 [1] that allows
> interactive exploring of decision trees - even though its quite a hack
> (JS is my nemesis) I thought it may be of use for other people as
> well. You can find the source code in this gist [2] and a demo for
> iris and boston here [3].
>
> The thickness of a branch indicates the number of training samples
> that reached the branch. The color encodes the class distribution (for
> classification) or the mean value (for regression; red means higher,
> blue lower).
> Internal nodes that can be expanded are highlighted in light blue.
>
> best,
> Peter
>
>
> [1] http://d3js.org
> [2] https://gist.github.com/3813537
> [3] http://bl.ocks.org/d/3813537/
>
> --
> Peter Prettenhofer
>
>
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