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@rcabanasdepaz rcabanasdepaz released this 18 Jan 12:18
· 16 commits to master since this release
v0.7.0
7b77ef4

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.

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

Changes:

  • Fixed some bugs (#93)
  • Added functionality to fix prior constraints to the parameters. A new tutorial on that coming soon.

Release Date: 18/01/2018
Further Information: Project Web Page,JavaDoc

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