Hi Konstantinos.
There is an IRC channel but it's not that busy any more.
You could try the gitter channel at
http://gitter.im/scikit-learn/scikit-learn
The issue that you cited is ok, but this one might be easier to start with:
https://github.com/scikit-learn/scikit-learn/issues/8194
You need
Hello all,
My name is Konstantinos and I would like to contribute to scikit-learn.
I am relatively new to open source development and I want to work on
some easy bug-fixing to get used to the github workflow.
Firstly, is this issue open and should I try working on it?
https://github.com/scik
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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s
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
Hello Sir,
Thanks for the reply,
I will try to reproduce the claims of the paper and would update about my
progress.
Regards
Shubham
On Mon, Mar 6, 2017 at 12:32 AM, Andreas Mueller wrote:
> There was a PR here:
> https://github.com/scikit-learn/scikit-learn/pull/5530
>
> but it didn't seem to
