Release v0.4.1
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4449 commits
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since this release
This toolbox aims to offers a collection of scalable and parallel algorithms for inference and learning with probabilistic graphical models from local and distributed (streaming) data.
Added Functionalities:
- Support for multi-core parallel Bayesian learning using Java streams.
Release Date: 31/12/2015
Further Information: Deliverable 4.3, JavaDoc