Re: [scikit-learn] VOTE: scikit-learn governance document

I've not been active for a long time but it's a +1 from me too. Brian On Mon, Feb 11, 2019, 22:18 Guillaume Lemaître +1 as well > > On Mon, 11 Feb 2019 at 19:30, Tom DLT wrote: > >> +1 as well >> >> Le lun. 11 févr. 2019 à 10:23, Nelle Varoquaux >> a écrit : >> >>> +1 >>> >>> On Mon, 11 Feb 20

Re: [scikit-learn] decision trees

>From a theoretical point of view, yes you should one-hot-encode your categorical variables if you don't want any ordering to be implied. Brian On 29 Mar 2017 08:40, "Andrew Howe" wrote: > My question is more along the lines of will the DT classifier falsely > infer an ordering? > > <~~

Re: [scikit-learn] Scikit-learn survey results

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

Re: [scikit-learn] Random forest fitting very well

Hi Muhammad, If you've not yet read the documentation I would highly recommend starting with the Decision Tree [1] and working your way through the examples on your own data. You'll find an example [2] of how to generate a graphviz compatible dot file and visualise it. Once your satisfied that y