This repository includes a script 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.
Tapkee. This repository includes binary of application from the Tapkee library v0.1. Requires no installation.
Scikit-learn. 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 buildand
sudo python setup.py installcommands.
Waffles. This repository includes version 2012-08-31 of Waffles library with small patch to support time measuring. To build Waffles cd to
sudo make installcommand. After that, binaries will be located in the
Matlab Toolbox for Dimensionality Reduction (MTfDR). This repository includes
MTfDR v.08 April 2012without any changes. MTfDR requires no installation.
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.