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Changelog
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.
Last updated 13 days ago
Updates to sparse weights, VW Slim, Search, and other bug fixes.
This release includes several new reductions including contextual bandits with graph feedback as well as a completely new interaction grounded learning reduction. There are also WASM bindings available for Vowpal Wabbit now.
Contextual Bandits (CB) with graph feedback can be used for scenarios where some actions, when taken, reveal information other...
Upgrades to benchmarking, naming conventions, and minor bug fixes.
An Eigen Memory Tree (EMT) is a memory based learning reduction. EMTs will remember previous training examples and use this memory to assign labels to future requested predictions. For more information, see the EMT wiki page
https://github.com/VowpalW...
This introduces the Large Actions Spaces (LAS) feature. LAS is an algorithm that lets exploration happen efficiently when there are a large number of actions in a contextual bandit dataset. The main idea behind it is to eliminate actions that are similar and explore only over the most diverse actions in the dataset. For more information, see the [LAS wiki page](https://gith...