Removed IDE files
2 bug fixes in XMLBIF import and robot localization example for DBN
Some bug fixes in TowTBN. Adapted localize example.
Changed behaviour of ProbabilityTable.to_jpt_by_states back to origninal behaviour, as is documented... I dont know who changed it
Added basic structure for Gauss density and its sampling
Renamed File examples/MCMC.py to examples/ExampleMCMC.py
removed old file, see last commit
Encapsulated PoE and PosteriorMarginal in reasoning/MCMC object
Prior and Posterior Marginal in MCMC
added example for comparison between exact and approximate inference
ExampleComparison is running correctly, Added MetropolisHastingsAlgorithm as StateTransition and began generalization of MCMC to continuous spaces
Contstructing a MarkovChain with MetropolisHastings is now working for Networks which consist only of LinearGaussian nodes or ProbabilityTables. Additionally it is now possible to specify the form of densityfunction that one expects for PosteriorMarginal. Learning a Gaussian from a MarkovChain is also possible
Enhanced examples/MCMC_Gauss.py
Refactoring: ContinuousNode introduced, moved stuff from Discrete and Continuous Node so generic Node, created MCMC example for multiple continuous Models
examples/MCMC_Continuous.py läuft mit exponentialverteilung->linearGauss, Evidenz als Klassen und Kontinuierliche PoE läuft
Fixed several bugs related to evidence. Hopefully included LinearBeta, still needs testing though. Changed sample_global and sample_local once again in ContinuousNode
Had to change linear dependencies in Exponential and Beta Nodes to sigmoid functions on weighted sums. Also introduced a more complex example for Continuous Nodes
Did some doc
Comments and refactored a little downwards Node->RandomNode
Comments and a small refactoring to give ConvergenceTestSimpleCounting its own module