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

On Sun, Mar 22, 2015 at 11:59:17AM +1100, Joel Nothman wrote: > FWIW It'll require some changes to cross-validation routines. I'd rather we try not to add new needs and usecases to these before we release 1.0. We are already having a hard time covering in a homogeneous way all the possible options

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

I suppose Xing's MMC is highly cited because it's the pioneer of the field. Though, having Ng and Jordan as co-authors looks impressing. Either way, it requires to perform an eigen decomposition at each step, which has cubic (in number of features) complexity. ​ > we would need a way to get the le

[Scikit-learn-general] Pearson Correlation Similarity Measure

Hello everyone! I was recently working on a simple movie recommender system in which I calculated the similarity between two users using the PCS Measure. This led me to thinking how it would be awesome if I could just import one from sklearn. I wanted to discuss about the possibility of adding PC

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

On Sun, Mar 22, 2015 at 05:51:23PM +0530, Vinayak Mehta wrote: > I wanted to discuss about the possibility of adding PCS Measure to > sklearn.metrics. I could open a PR if we go forward with this. :) I believe that it is the same thing as cosine similarity. If that's indeed the case, you could add

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

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

Hi all: This is the link to my proposal for the "Cross-validation and Meta-estimators for Semi-supervised Learning" topic: https://docs.google.com/document/d/1f2nfFEBk567QhKd2OJzDNM9t21Glkp0XxFgtbpy8UjI/edit?usp=sharing Please leave comments and help improving it! Also I want to contribute a

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

Hi Boyuan, I have added your proposal to our wiki :) - https://github.com/scikit-learn/scikit-learn/wiki/GSoC-2015-Proposal:--Cross-validation-and-Meta-estimators-for-Semi-supervised-Learning I hope you don't mind the same. I've also added your name to the possible candidate under the GSOC 15 pag

[Scikit-learn-general] GSoC 2015 Proposal: Multiple Metric Learning

Hi, 1. This is my proposal for the multiple metric learning project as a wiki page - https://github.com/scikit-learn/scikit-learn/wiki/GSoC-2015-Proposal:-Multiple-metric-support-for-CV-and-grid_search-and-other-general-improvements . Possible mentors : Andreas Mueller (amueller) and Joel Nothma

Re: [Scikit-learn-general] GSoC 2015 Proposal: Multiple Metric Learning

1. the link is broken 2. that sounds quite difficult and unfortunately conducive to cheating On Sun, Mar 22, 2015 at 7:57 PM, Raghav R V wrote: > Hi, > > 1. This is my proposal for the multiple metric learning project as a wiki > page - > https://github.com/scikit-learn/scikit-learn/wiki/GSoC-

Re: [Scikit-learn-general] GSoC 2015 Proposal: Multiple Metric Learning

> > 1. the link is broken > Ah! Sorry :) - https://github.com/scikit-learn/scikit-learn/wiki/GSoC-2015-Proposal:-Multiple-metric-support-for-CV-and-grid_search-and-other-general-improvements . 2. that sounds quite difficult and unfortunately conducive to cheating > Hmm... Should I then simply op

Re: [Scikit-learn-general] GSoC 2015 Proposal: Multiple Metric Learning

2 things : * The subject should have been "Multiple Metric Support in grid_search and cross_validation modules and other general improvements" and not multiple metric learning! Sorry for that! * The link was not available due to the trailing "." (dot), which has been fixed now! Thanks R On Mon,

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

@Gaël > I believe that it is the same thing as cosine similarity. If that's > indeed the case, you could add a note in the cosine similarity docstring > to stress it. I think it is somewhat different from cosine similarity. @Boyuan > I remember there is an off-the-shelf function in scipy.stats ca

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

On Mon, Mar 23, 2015 at 10:27:00AM +0530, Vinayak Mehta wrote: > > I believe that it is the same thing as cosine similarity. If that's > > indeed the case, you could add a note in the cosine similarity docstring > > to stress it. > I think it is somewhat different from cosine similarity. Then you

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

On Monday, March 23, 2015, Gael Varoquaux wrote: > On Mon, Mar 23, 2015 at 10:27:00AM +0530, Vinayak Mehta wrote: > > > I believe that it is the same thing as cosine similarity. If that's > > > indeed the case, you could add a note in the cosine similarity > docstring > > > to stress it. > > > I