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CHANGELOG.md

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0.2.2

  • Fixes and updates to BayesianLogicFactors serialization ( #92 #94 #95 #103 )
  • Added new capabilities for BayesianNetworkSampling ( #96 )
  • Added possibility to use lambda functions to RandomUtil#getRandom() ( #97 )
  • Added multi query to LoopyBeliefPropagation ( #101 )
  • Restored behavior of pre 1.7.0 for Neighborhood#random() method ( #100 )
  • Fixed an issue with BayesianEntropy
  • New documentation ( #102 )

0.2.1

  • New logics Bayesian factors, such as Not, And, Or, and NoisyOr ( #86 )
  • New ApproxLP0 algorithm ( #83 )
  • Renamed approxlp package to approxpl1 ( #84 )
  • Added new VertexToRandomBayesian converter ( #84 )

Extra:

  • Replaced CI/CD pipeline with GitHub actions ( #84 )
  • Added CITATION.cff and CITATION.bib files

0.2.0

  • New Factor hierarchy ( #74 ). Major changes are:
    • All factors are now interfaces.
    • For each factor we can have multiple implementations.
    • Factors are immutable now: the creation of a new factor is delegated to the constructor or to a dedicated Factory class.
    • SymbolicFactors can now be used to keep track of operations done by algorithms.
  • Added code for isipta21benchamrk ( #76 #77 )
  • Removed old methods marked as @deprecated

0.1.7.a

  • Fixed an issue with sampling of BayesianFactors #75

0.1.7

  • Refactoring of Inference and Preprocessing hierarchies ( #66 )
  • Added Loopy Belief Propagation algorithm ( #63 #64 #65 #67 )
  • Fixed #48, an issue with Belief Propagation caused by wrong management of messages.
  • Fixed a minor issue in BeliefPropagation (introduced in 0.1.6.b)
  • Added a parser for the BIF format ( #51 )
  • Fixed #56, #62
  • Minor change to BayesianNetworkSampling class
  • Updated Samplingalgorithms ( #67 )
  • Merged #70 #71

0.1.6

  • fixed #44, #40.
  • New class hierarchy for Models:
    • the main interface is Model,
    • the graphical models now implements the GraphicalModel interface,
    • basic Directed Acyclic Graph is DAGModel,
    • the BayesianNetwork class is now a specialized case of DAGModel,
  • Added Join Tree and Belief Propagation algorithms for BayesianFactor-based models.
  • Added algorithms for entropy of Bayesian and Credal networks.
  • General code cleanup (mainly code style).
  • Removed main methods from the library and moved to separate unit test classes.
  • Updated tests and removed old experiments.
  • Removed examples relative to Adaptive project.
  • Updated tutorials.

0.1.5

  • fixed #33, #32, #30.
  • BayesianFactor.filter method accepts a TIntIntHashMap for specifying the states of the variables.
  • EM abstract class.
  • Operations for calculating the log-likelihood.
  • Static method combineAll at BayesianFactor.
  • Improved ObservationBuilder.
  • CSV support #18.
  • Bayes writer in UAI format #26.
  • VCREDAL HCREDAL writers.
  • VE conditionalQuery.
  • Builder of a CN from a set of precise BNs.

0.1.4

  • Common interface for inference algorithms.
  • Solved bugs at renaming and sort parents.
  • Bug at LP #23.
  • Documentation available.

0.1.3

  • Parsers for: V-CREDAL, BAYES and evidence.
  • observation builder #20.
  • Inference with EM algorithm.
  • Migration of causality code to Credici.

0.1.2

  • Parser for h-credal models in uai format.
  • Polco and lpsolve made accessible from maven.
  • Travis support

0.1.1

First published version of the software with all the code developed so far.