[scikit-learn] New core dev: Adrin Jalali

The Scikit-learn core development team has welcomed a new member, Adrin Jalali, who has been doing some really amazing work in contributing code and reviews since July (aside from occasional contributions since 2014). Congratulations and welcome, Adrin! _

Re: [scikit-learn] Recurrent questions about speed for TfidfVectorizer

Hi qll, Sorry for the late reply, lots of things to work on currently. I'll have a look at the roadmap and the pointers to see what could be done to enhance the situation. Cheers, Matthieu Le lun. 26 nov. 2018 à 20:09, Roman Yurchak via scikit-learn < scikit-learn@python.org> a écrit : > Trie

[scikit-learn] Is there regression algo with 3-d input?

I want to regress time series prediction per week, so the unit of train data X is the day ex: Mon, Tue, Wed...etc. Ex: train data X is like below X: [ [1,2,3,4,3,2,1] ,[2,2,3,4,3,2,2] ] Each data of each row is about the day of one week. So each row has 7 data. Now if I have another feature W i

Re: [scikit-learn] Is there regression algo with 3-d input?

Would the output be different if you simply wrapped the whole process with reshaping 3D input to 2d? On Wed, Dec 5, 2018 at 7:14 PM lampahome wrote: > I want to regress time series prediction per week, so the unit of train > data X is the day ex: Mon, Tue, Wed...etc. > > Ex: train data X is like

Re: [scikit-learn] Is there regression algo with 3-d input?

Stuart Reynolds 於 2018年12月6日 週四 下午12:52寫道： > Would the output be different if you simply wrapped the whole process with > reshaping 3D input to 2d? > >> >> I don't know, I'm not experiencing on it. ___ scikit-learn mailing list scikit-learn@python.org h