[scikit-learn] Scikit-learn survey results

[Andreas Mueller]

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.  
> 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 that uses batches would allow the technique to scale up to 
> much larger datasets that don't fit in memory.
>
> Regards
> Brian
>
> On 5 March 2017 at 17:47, Andreas Mueller <t3kcit at gmail.com 
> <mailto:t3kcit at gmail.com>> wrote:
>
>     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/
>     <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 models and data.
>     People would use automatic machine learning if it was there, but
>     it's not the highest priority item.
>
>     There is also a lot of interesting info in the comments, but
>     because I was not able to go through all of them yet,
>     I don't want to publish them publicly in case there is sensitive
>     information included (and if anyone knows if there are
>     legal implications if there wasn't a disclaimer, please let me know).
>
>     Cheers,
>     Andy
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>
>
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