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Tutorial of the AMIDST Toolbox

This respository contains a tutorial with code examples of the AMIDST toolbox. The slides of this tutorial can be found in the following link:

https://github.com/amidst/tutorial/raw/master/doc/slides/AMIDST_slides.pdf

This tutorial focuses on how to learn the predefined latent varaibles (i.e. a probabilistic graphical model with unobserved variables) models included in AMIDST. Two learning schemes are showed:

  • Parellel multi-core learning based on Java 8 streams.
  • Distributed learning functionalities based on Apache Flink.

In both cases, AMIDST offers Bayesian parameter learning by means of variational message passing.

We also show how new user-defined latent varaible models can be easily defined with this toolbox and, also, learnt from local or distributed data.

This is the list of latent variables models included in AMIDST.

Latent Variable Models

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Tutorial with code examples of the AMIDST toolbox

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