https://github.com/iglesias/lmnn-gsoc2013-review

GSoC 2013 code for the LMNN -- metric learning -- project in Shogun
https://github.com/iglesias/lmnn-gsoc2013-review

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GSoC 2013 code for the LMNN -- metric learning -- project in Shogun

• Host: GitHub
• URL: https://github.com/iglesias/lmnn-gsoc2013-review
• Owner: iglesias
• Created: 2013-09-20T20:27:46.000Z (over 11 years ago)
• Default Branch: master
• Last Pushed: 2015-10-31T19:52:12.000Z (about 9 years ago)
• Last Synced: 2024-10-15T22:48:41.179Z (2 months ago)
• Language: C++
• Size: 155 KB
• Stars: 3
• Watchers: 3
• Forks: 4
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
lmnn-gsoc2013-review

====================

GSoC 2013 code for the project named "Implement Metric Learning Algorithms with

Applications to Metagenomics".

The main use for this repository is to ease the peer review and put together all

the code that will be uploaded as code sample.

At the end of the project, an ipython notebook was written in the form of a project

report. A static version of the notebook is [here](http://nbviewer.ipython.org/6576096).

The work on the notebook started before the pencils down date on September 16th, although

a few corrections were done afterwards.

# Contents

* prototype/ : Matlab implementation used for prototyping.

* lmnn/: C++ implementation as it is in Shogun.

* distance/: Other files that had to be created in Shogun to integrate LMNN.

* tests/: Unit tests using Google C++ Testing Framework.

* examples/: Examples of use in C++, Python and Octave.

A few other minor additions that were done in Shogun (e.g. SWIG bindings for LMNN) are not

included in this repository.