Benchmark for several Python machine learning packages
From the website:
We compare computation time for a few algorithms implemented in the major machine learning toolkits accessible in Python. We use the Madelon data set Guyon2004, 4400 instances and 500 attributes, that can be used in supervised and unsupervised settings and is quite large, but small enough for most algorithms to run.
Useful site for a couple of reasons:
1) A cross-check to make sure I have some of the major Python machine learning packages listed.
2) Another reminder that we don’t have similar test sets of data for topic maps.
The first one I can check and remedy fairly quickly.
The second one is going to take more thought, planning and mostly effort. 😉
Suggestions/comments?