ANNOUNCE: aGrUM 1.16.0

aGrUM/pyAgrum 1.16.0 is out.

• aGrUM

  • Added 3 behaviors for generating sampling from gum::DiscretizedVariable in gum::BNDatabaseGenerator : INTERVAL/MEDIAN/RANDOM. The default was INTERVAL and is now RANDOM.
  • Added timeout for gum::BNDatabaseGenerator to prevent slowish (maybe infinite) rejection sampling.
  • Added two …

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ANNOUNCE: aGrUM 1.15.1

aGrUM/pyAgrum 1.15.1 is out.

• aGrUM

  • Added gum::Potential<GUM_SCALAR>::memoryFootprint and gum::IBayesNet::memoryFootprint (thanks to Benjamin Datko).
  • Fixed a bug when subscripting gum::DiscretizedVariable with the (last) interval (thanks to Gaspard Ducamp).
  • Removed gcc warnings (psabi, false positive uninitialized).

• pyAgrum

  • Added …

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ANNOUNCE: aGrUM 1.15.0

aGrUM/pyAgrum 1.15.0 is out.

We continue to add (full python) experimental models. In 1.15, we introduce the CTBN model (Continuous Time Bayesian Network) featuring, as usual, modelization and representation, inference (exact and sampling) and a learning algorithm.

• aGrUM

• Added gum::NodeId …

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