Release of the AMIDST Toolbox v0.5.0
ANB - 11/07/16

This toolbox offers a collection of scalable and parallel algorithms for inference and learning with probabilistic graphical models over massive data streams.
They new added functionalities include support to Flink for distributed learning of probabilistic graphical models and support for Latent Dirichlet Allocation Models for text analysis purposes.
Detailed information can be found in the toolbox's web page:

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