On Mon, Mar 6, 2017 at 10:37 AM Andreas Mueller wrote:
> Hi Brian.
>
> How about mondrian forests? ;)
>
Talk to Manoj (CCed) about those. He recently started an implementation
while exploring them for scikit-optimize.
T
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Hi Brian.
How about mondrian forests? ;)
And I think Gilles has thought about parallelizing trees a bit.
It's definitely something that people are interested in.
Andy
On 03/06/2017 06:46 AM, Brian Holt wrote:
Thanks Andy,
That's really interesting and gives some hints for future direction.
Thanks Andy,
That's really interesting and gives some hints for future direction. As an
initial suggestion, I wonder if incremental decision tree learning would be
welcomed by the project? My personal experience building trees was very
often frustrated by memory constraints and an alternative th
Hey all.
In case you're interested, here is a summary view of the scikit-learn
survey I posted recently:
https://www.surveymonkey.com/results/SM-RHGZVZ73/
tldr;
Preprocessing takes the most time, people want out-of-core learning,
better integration with pandas
and easier visualization of mode
