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@rcabanasdepaz rcabanasdepaz released this 14 Oct 17:48
· 182 commits to master since this release
v.0.6.0
4f6839d

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.

Changes:

  • Added sparklink module implementing the integration with Apache Spark. More information here.
  • Fluent pattern in latent-variable-models
  • Predefined model implementing the concept drift detection
  • Fixed some bugs

Release Date: 14/10/2016
Further Information: Project Web Page,JavaDoc

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