Fwumious Wabbit, fast on-line machine learning toolkit written in Rust
Fwumious Wabbit is
Fwumious Wabbit is actively used in Outbrain for offline research, as well as for some production flows. It enables "high bandwidth research" when doing feature engineering, feature selection, hyperparameter tuning, and the like.
Data scientists can train hundreds of models over hundreds of millions of examples in a matter of hours on a single machine.
For our tested scenarios it is almost two orders of magnitude faster than the fastest Tensorflow implementation of Logistic Regression and FFMs that we could come up with. It is an order of magnitude faster than Vowpal Wabbit for some specific use-cases.
Check out our benchmark, here's a teaser:
Why is it faster? (see here for more details)