Re: [Scikit-learn-general] sklearn.preprocessing.normalize does not sum to 1

Hm, since you have problems with memory already, the longdouble wouldn't be an option I guess. However, what about using numpy.around to reduce the precision by a few decimals? Sent from my iPhone > On Dec 17, 2015, at 8:26 AM, Ryan R. Rosario wrote: > > Hi, > > I have a very large dense n

[Scikit-learn-general] sklearn.preprocessing.normalize does not sum to 1

Hi, I have a very large dense numpy matrix. To avoid running out of RAM, I use np.float32 as the dtype instead of the default np.float64 on my system. When I do an L1 normalization of the rows (axis=1) in my matrix in-place (copy=False), I frequently get rows that do not sum to 1. Since these

Re: [Scikit-learn-general] Stacking Classifier

Right now I'm splitting the dataset in half to get the predictions of the first layer. I can make this configurable. You're right that the literature doesn't really support different classifiers working on different representations. I’ll take this out. On Wed, Dec 16, 2015 at 11:03 AM, Andreas M

Re: [Scikit-learn-general] Stacking Classifier

I think stacking would be a nice contribution. Are you doing loo / cross validation to get the predictions of the first level? Otherwise this is basically "VotingClassifier" And in the "literature" version, all classifiers get the same data. We need to think about how and if we want to support

Re: [Scikit-learn-general] Neural Networks Contribution Tasks

Hi Arasu, Deep learning requires a rich vocabulary to define an architecture, and the use of GPUs for computing. Neither of these fit in the design constraints of scikit-learn. Hence deep learning is currently out-of-scope for scikit-learn. That's not a problem, there are excellent existing deep-l

[Scikit-learn-general] Neural Networks Contribution Tasks

Hello Mentors! I'm interested in deep learning and wanna contribute to scikit-learn and try out for GSoC next summer. I was wondering if scikit-learn is looking to expand its neural nets package. If so, could you please point me to some related tasks that I can start contributing on? Thank you!

Re: [Scikit-learn-general] Scikit-learn-general Digest, Vol 71, Issue 17

Please I would like to implement Hyperellipsoidal one class SVM using SKLEARN Is it possible? If yes, how will I do? Thanks for all to answer me 2015-12-11 18:56 GMT+01:00 < scikit-learn-general-requ...@lists.sourceforge.net>: > Send Scikit-learn-general mailing list submissions to > sc