Re: [Scikit-learn-general] [GSoC] Metric Learning

I skimmed through this survey: http://arxiv.org/abs/1306.6709 For methods that learn a Mahalanobis distance, as Artem said, we can indeed compute the Cholesky decomposition of the learned precision matrix and use it to transform the data. Thus in this case metric learning can be seen as supervised

Re: [Scikit-learn-general] [GSoC] Metric Learning

> > Are there any objections on Joel's variant of y? It serves my needs, but > is quite different from what one can usually find in scikit-learn. FWIW It'll require some changes to cross-validation routines. On 22 March 2015 at 11:54, Artem wrote: > Are there any objections on Joel's variant o

Re: [Scikit-learn-general] [GSoC] Metric Learning

Are there any objections on Joel's variant of y? It serves my needs, but is quite different from what one can usually find in scikit-learn. -- Another point I want to bring up is metric-aware KMeans. Currently it works with Euclidean distance only, which is not a problem for a Mahalanobis dis

Re: [Scikit-learn-general] adding SPGL1 to scikit-learn

Hi, Thanks for the offer. Do you have benchmarks comparing the SPGL1 solver to scikit-learn's? Do you know which class of algorithm the SPGL1 solver uses? Cheers, Gaël On Sat, Mar 21, 2015 at 09:49:01AM -0700, David Relyea wrote: > Hi all, > I recently ported the Matlab version of SPGL1 to p

Re: [Scikit-learn-general] adding SPGL1 to scikit-learn

Hi all, I recently ported the Matlab version of SPGL1 to python. SPGL1 is an extremely fast L1 solver (compressive sensing) that is fantastic with very large datasets and also handles complex numbers naturally. It has previously only been available in Matlab. I'm a capable programmer and can refa

Re: [Scikit-learn-general] Student looking to contribute to scikit-learn

GSOC isn't the best way to get started. We recommend you get to know the code structure, API and development process by starting with issues labelled https://github.com/scikit-learn/scikit-learn/labels/Easy. In general, look through the Issue Tracker and find something of interest, or which has sta

Re: [Scikit-learn-general] Partial dependence plots for Random Forests.

No , scikit-learn doesn’t have partial dependence plots for random forest. Best regards, Arnaud > On 21 Mar 2015, at 03:43, Shubham Singh Tomar > wrote: > > Does scikit-learn have any capacity for partial dependence plots and > associated data arrays for random forest analyses? > I can find t