https://github.com/iglesias/tapkee_benchmarks

Benchmarks and comparisons for the Tapkee library
https://github.com/iglesias/tapkee_benchmarks

Last synced: 24 days ago
JSON representation

Benchmarks and comparisons for the Tapkee library

• Host: GitHub
• URL: https://github.com/iglesias/tapkee_benchmarks
• Owner: iglesias
• Created: 2013-05-02T19:25:36.000Z (over 11 years ago)
• Default Branch: master
• Last Pushed: 2013-05-02T20:28:10.000Z (over 11 years ago)
• Last Synced: 2024-10-15T22:48:36.934Z (2 months ago)
• Language: C
• Homepage: http://iglesias.github.io/tapkee_benchmarks
• Size: 45.2 MB
• Stars: 3
• Watchers: 2
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
This repository includes [a script](benchmark.py) that can be used to 

benchmark various implementations of dimension reduction algorithms. Currently the

script supports three modes:

- *jmlr*. Reproduce comparison table from the JMLR MLOSS submission of paper on Tapkee.

- *all*. Run all Tapkee algorithms on all included datasets and output walltime.

- *scaling*. Measure speedups caused by increasing number of used threads.

To run the script with some mode use `python benchmark.py [mode]` where mode is any of the modes listed above.

This repository also includes methods availability table that can be found [here](available_methods.md).

Included libraries:

- [Tapkee](http://tapkee.lisitsyn.me/). This repository includes binary of application from the Tapkee library v0.1. Requires no installation.

- [Scikit-learn](http://scikit-learn.org/stable/). This repository includes Scikit-learn v.0.13.1 with no patches applied. To install Scikit-learn

cd to scikit-learn/sklearn and run `python setup.py build` and `sudo python setup.py install` commands.

- [Waffles](http://waffles.sourceforge.net/). This repository includes version 2012-08-31 of Waffles library with small patch to support

time measuring. To build Waffles cd to `waffles/src` and run `sudo make install` command. After that, binaries will 

be located in the `waffles/bin/` folder.

- [Matlab Toolbox for Dimensionality Reduction (MTfDR)](http://homepage.tudelft.nl/19j49/Matlab_Toolbox_for_Dimensionality_Reduction.html). This 

repository includes `MTfDR v.08 April 2012` without any changes. MTfDR requires no installation.

License

=======

Included libraries are distributed under their own licenses without any changes from our side. All other included files

are free and you may use, modify and redistribute it for any purposes without limitations and permissions.