Re: [Scikit-learn-general] fit a GMM to a histogram (or weighted data points) ?

Sorry to bring up this old thread, but it'd be very helpful (and I imagine, fairly trivial to implement) an option to assign weights to the data points used in GMM fitting. It can allow some pretty cool things, like directly fitting GMMs to a grid where a probability density is assigned to each gri

Re: [Scikit-learn-general] Scikit-Learn sprint 2014 - July in Paris

Awesome, count me in! Looking forward to it. Thanks a lot for the Telecom ParisTech hosting. Vlad On Thu Feb 13 20:04:24 2014, Alexandre Gramfort wrote: > hi sklearners, > > we're planing to reproduce the success of last year's scikit-learn > sprint in Paris. > > We'll have a new sprint in Tele

[Scikit-learn-general] Scikit-Learn sprint 2014 - July in Paris

hi sklearners, we're planing to reproduce the success of last year's scikit-learn sprint in Paris. We'll have a new sprint in Telecom ParisTech in 2014 ! Dates are : 15th-20th of July 2014 (just before EuroPython in Berlin) I've updated the wiki page: https://github.com/scikit-learn/scikit-le

[Scikit-learn-general] RFC on memoized models

I am seeking comment on remember_model, which wraps an estimator to memoise its fit() method. I have conceived of two useful applications, though no doubt there are ot