Re: [scikit-learn] Disable Travis Cache

Ok. Thanks for the comments! On Mon, Aug 8, 2016 at 6:22 PM, Gael Varoquaux < gael.varoqu...@normalesup.org> wrote: > On Mon, Aug 08, 2016 at 03:10:26PM +0200, Raghav R V wrote: > > I felt we could rather have a clean build and wait for a few more > minutes (if > > that's the disadvantage of

Re: [scikit-learn] Disable Travis Cache

On Mon, Aug 08, 2016 at 03:10:26PM +0200, Raghav R V wrote: > I felt we could rather have a clean build and wait for a few more minutes (if > that's the disadvantage of disabling caching) than have it pass / fail on old > code... Time of CI is a real problem. On our side because it slows down

Re: [scikit-learn] Supervised anomaly detection in time series

Thanks for the pointers and papers. I'd definitely go through this approach and see if it can be applied to my problem. Thanks, Amita On Fri, Aug 5, 2016 at 4:40 PM, Albert Thomas wrote: > Hi, > > About your question on how to learn the parameters of anomaly detection

Re: [scikit-learn] Scaling model selection on a cluster

I realize this is in early stages and I'd like to help improve it, even if just by testing on an actual cluster. All of the examples I've seen are very small, and it's impossible for anyone to notice if they're really running in parallel judging just by the execution time. None of them mention how

Re: [scikit-learn] Scaling model selection on a cluster

I don't think they're too fast. I tried with slower models and bigger data sets as well. I get the best results with n_jobs=20, which is the number of cores on a single node. Anything below is considerably slower, anything above is mostly the same, sometimes a little slower. Is there a way to see