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 )

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

• 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.