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@rcabanasdepaz rcabanasdepaz released this 25 Apr 18:37
· 10 commits to master since this release
v0.7.1
3e45c32

This toolbox aims to offer a collection of scalable and parallel algorithms for inference and learning with probabilistic graphical models from local and distributed (streaming) data.

If you want to try the toolbox, visit https://github.com/amidst/example-project.

Changes:

  • Fixed some bugs
  • Changed the output of the inference algorithms

Release Date: 25/04/2018
Further Information: Project Web Page,JavaDoc

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