Performance testing of Fergus SSL
magsol opened this issue · comments
Need a performance benchpark for the current algorithmic framework. Use sklearn.datasets
to conduct semi-supervised learning testing, and time the results for varying dataset sizes as well as accuracy.
We still need timings for the dataset.
- How long does it take to run?
- How does changing the size of the dataset change the runtime?
- Where are the bottlenecks?
- How does varying
gamma
affect the clustering quality? - How does adding noise to the half-moons affect the clustering quality?