This is the Linux app named Vowpal Wabbit whose latest release can be downloaded as 9.9.0.zip. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS
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Vowpal Wabbit
DESCRIPTION
Vowpal Wabbit is a machine learning system that pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning. There is a specific focus on reinforcement learning with several contextual bandit algorithms implemented and the online nature lending to the problem well. Vowpal Wabbit is a destination for implementing and maturing state-of-the-art algorithms with performance in mind. The input format for the learning algorithm is substantially more flexible than might be expected. Examples can have features consisting of free-form text, which is interpreted in a bag-of-words way. There can even be multiple sets of free-form text in different namespaces. Similar to the few other online algorithm implementations out there. There are several optimization algorithms available with the baseline being sparse gradient descent (GD) on a loss function.
Features
- Input Format
- Scalability
- Speed
- Feature Interaction
- Install with a package manager
- Subsets of features can be internally paired
Programming Language
C++
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/vowpal-wabbit.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
