Re: [Scikit-learn-general] GraphLab to scikit-learn migration help

2016-04-05 Thread Jacob Schreiber
Hi Andre I've found keras to be very easy to use, have a lot of features, and has extensive documentation. However, I usually use mxnet because it seems faster and allows multi-GPU training very easily. Jacob On Tue, Apr 5, 2016 at 1:10 PM, André Cruz wrote: > Thank you Andy for the pointers.

Re: [Scikit-learn-general] GraphLab to scikit-learn migration help

2016-04-05 Thread André Cruz
Thank you Andy for the pointers. Is any one of those 3 better supported or recommended in any way for this task? So as to know where to start. André On Tuesday, 5 April 2016, Andreas Mueller wrote: > Hi Andre > There are no pre-trained neural nets (and no convolutional neural nets > at all) in

Re: [Scikit-learn-general] GraphLab to scikit-learn migration help

2016-04-05 Thread Andreas Mueller
Hi Andre There are no pre-trained neural nets (and no convolutional neural nets at all) in scikit-learn. Check out sklearn-theano, nolearn or keras. The knn is pretty straight-forward from the docs. Cheers, Andy On 04/05/2016 10:54 AM, André Cruz wrote: > Hello all. > > I've been using GraphLab

[Scikit-learn-general] GraphLab to scikit-learn migration help

2016-04-05 Thread André Cruz
Hello all. I've been using GraphLab while doing a machine learning specialization in Coursera (https://www.coursera.org/specializations/machine-learning). However, I would also like to try scikit-learn for comparison and maybe use it since it is open source. Could someone look at this GraphLab