Re: [Scikit-learn-general] Why don't we support Neural Network Algorithms?

FYI, in April a project called *"***scikit-neuralnetwork" came into existence. It's a library wrapping Pylearn2 and providing a scikit-learn compatible interface. https://github.com/aigamedev/scikit-neuralnetwork As others have stated, there are already some nice Python neural network librarie

Re: [Scikit-learn-general] [GSoC 2015] Cross-validation and Meta-Estimators for semi-supervised learning

; I was just next door! > > Hope my comments can help strengthen your proposal, > > Yours, > Vlad > >> On 24 Mar 2015, at 19:08, Boyuan Deng wrote: >> >> Hi Andreas: >> >>> when I think there is a closed form solution >> Yes, I remember th

Re: [Scikit-learn-general] [GSoC 2015] Cross-validation and Meta-Estimators for semi-supervised learning

I find paragraphs starting with “And” to be too > >conversational for this context, so you could try to rephrase. > > Finally, too bad it’s not 3 months ago, I could have met you in Saarbruecken, > I was just next door! > > Hope my comments can help strengthen your proposal

Re: [Scikit-learn-general] [GSoC 2015] Cross-validation and Meta-Estimators for semi-supervised learning

you could look into that, too? If you have other related ideas, feel free to include them as well. Best, Andy On 03/22/2015 05:47 PM, Boyuan Deng wrote: Hi all: This is the link to my proposal for the "Cross-validation and Meta-estimators for Semi-supervised Learning" topic:

Re: [Scikit-learn-general] Pearson Correlation Similarity Measure

Hi Vinayak: scipy.stats implemented pearsonr() like that because it's a statistics routine. It treats 0 in the input data as indeed value 0. But in the context of recommender systems, "unrated" is different from score 0 (though we usually use 0 to represent "unrated" when score must be posit

Re: [Scikit-learn-general] [GSoC 2015] Cross-validation and Meta-Estimators for semi-supervised learning

together a proposal, you try to show your practical abilities to contribute to the project so that core developers become familiar with your work. I see you have started to do so at #4409; something that involves testing and/or documentation would be ideal. - Joel On 19 March 2015 at 09:30,

Re: [Scikit-learn-general] Pearson Correlation Similarity Measure

Hi Vinayak: I remember there is an off-the-shelf function in scipy.stats called pearsonr. You don't have to implement it on your own. Boyuan On 03/22/2015 01:21 PM, Vinayak Mehta wrote: Hello everyone! I was recently working on a simple movie recommender system in which I calculated the si

[Scikit-learn-general] [GSoC 2015] Cross-validation and Meta-Estimators for semi-supervised learning

-validation and Meta-Estimators for semi-supervised learning" and is starting to write my proposal. I'll post the link for it once it has basically taken shape this week. I'm always available if any ment