Vowpal Wabbit

Vowpal Wabbit is a machine learning system sponsored by Microsoft Research and Yahoo! Research (previously). It is based on developing an intrinsically fast learning algorithm.

Vowpal Wabbit Features

Vowpal Wabbit is swift due to a fast algorithm. The format of the input is more flexible. In it, the features subsets can be paired internally so that the algorithm is linear in the subgroups cross-products.

Vowpal Wabbit Usages

​Vowpal Wabbit can be used to target the problem of Malicious URL example and Matrix Factorization example. It can also be used for Multi classes examples such as One Against all multi-class examples, Error-correcting tournament multi-class example, and Cost-sensitive one against all multi-class examples.