8000 New feature: NCA · Issue #3213 · scikit-learn/scikit-learn · GitHub
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RolT opened this issue May 28, 2014 · 5 comments
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New feature: NCA #3213

RolT opened this issue May 28, 2014 · 5 comments
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@RolT
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RolT commented May 28, 2014

I would like to contribute by adding an algorithm performing the Neighborhood component analysis (http://www.cs.toronto.edu/~fritz/absps/nca.pdf)

Basically, it's trying to learn a distance metric by optimizing the leave-one-out performance on the training data. In a first time, I would first only follow the paper, and then try to add different solving methods in the parameters.

Tell me if you would be interested, if have any recommendations for the architecture or if someone else is already doing this.
@agramfort
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metric learning methods would be neat to have, although I am not sure we
should start with NCA. Thoughts anyone?

@RolT
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RolT commented Jun 2, 2014

Ok, I started implementing it in python. I will try to follow the structures used in scikit-learn so that it will be easy to add if some people are interested.

@sreenivasraghavan71
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I am Interested in NCA implementation. Can you tell me till what stage has work been completed and what additional algorithms have to be implemented?

@amueller
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Please have a look at #4789.

@RolT
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RolT commented Jul 31, 2015

I stopped working on that feature. I did an python implementation following the scikit-learn API, but I did not intergrate it.

@RolT RolT closed this as completed Jul 31, 2015
@terrytangyuan terrytangyuan mentioned this issue Sep 15, 2015
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@agramfort @amueller @RolT @sreenivasraghavan71
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