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Release v0.4.2
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@andresmasegosa andresmasegosa released this 01 Jul 12:55
· 474 commits to master since this release
v0.4.2
13eeff4

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:

  • A wide range of latent variable models coded in the toolbox as a proof-of-concept of the flexibility of our toolbox.

Latent Variable Models

Release Date: 02/05/2016
Further Information: Project Web Page, JavaDoc

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