Re: [scikit-learn] Continues monitoring of benchmark performances

it's the same projects. Alex ___ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn

Re: [scikit-learn] Continues monitoring of benchmark performances

Isn't Jérémie's project at https://github.com/jeremiedbb/scikit-learn_benchmarks meant to be doing this? What's its status? How does it relate to Tom's work? (Can we please take http://scikit-learn.org/ml-benchmarks/ offline?) On Tue, 23 Jul 2019 at 00:17, Nicolas Hug wrote: > I agree having be

Re: [scikit-learn] Continues monitoring of benchmark performances

I agree having benchmarks for non regression would be very helpful. A seemingly simple change in Cython code can lead to drastic performance drop. I can't find it back but I think Jérémie has submitted an issue about this? On 7/22/19 9:59 AM, Tom Augspurger wrote: Thanks Adrin, A month or so

Re: [scikit-learn] Continues monitoring of benchmark performances

Thanks Adrin, A month or so ago I started running scikit-learn benchmarks, but I had to disable them since they were taking too long (longer than a day). I haven't had time to investigate why, but I assume it was an issue with how I set them up. Just FYI, I'm planning to include "maintain and imp

Re: [scikit-learn] Monthly meetings between core developers + "Hello World"

That's kinda what I meant. I didn't mean to limit the access to the project to @core-devs, I meant they can be pinged. On Mon, Jul 22, 2019 at 3:56 PM Andreas Mueller wrote: > > On 7/22/19 9:22 AM, Adrin wrote: > > Awesome, excited to have your help around :) > > We already have the @core-devs t

Re: [scikit-learn] Monthly meetings between core developers + "Hello World"

On 7/22/19 9:22 AM, Adrin wrote: Awesome, excited to have your help around :) We already have the @core-devs team on github, we can use it more often/more organized.hi Why wouldn't we just use the scikit-learn repo projects? On Fri, Jul 19, 2019 at 2:48 PM Chiara Marmo

[scikit-learn] Continues monitoring of benchmark performances

Hi, There is this [page](https://pandas.pydata.org/speed/scikit-learn/) maintained by some of the pandas maintainers (@TomAugspurger in particular), and it seems like a really good idea to have an eye on the performance of different benchmarks through time just in case a PR introduces some major d

Re: [scikit-learn] Test Sample Size

Dear Milton, It is just my opinion based on many experiences, but if you want to stress-test your estimator, make your test set at least as big as, if not bigger than, the training set. Sincerely, J.B. 2019年7月22日(月) 22:18 Milton Pifano : > Dear scikit-learn subscribers. > > I am working on a mu

Re: [scikit-learn] Monthly meetings between core developers + "Hello World"

Awesome, excited to have your help around :) We already have the @core-devs team on github, we can use it more often/more organized. On Fri, Jul 19, 2019 at 2:48 PM Chiara Marmo wrote: > Dear list, > > I'm Chiara, in September I will start to work full time for the > Scikit-Learn Consortium at

[scikit-learn] Test Sample Size

Dear scikit-learn subscribers. I am working on a multiclass classificacition project and I have found many resources about how to deal with an imbalaced dataset for trainning, bu I have not been able to find any reference on the test dataset size. Can anyone send some references? Thanks, Milton