- Jul 08, 2013
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Manuel Baum authored
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- Jun 28, 2013
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Manuel Baum authored
examples/MCMC_Continuous.py läuft mit exponentialverteilung->linearGauss, Evidenz als Klassen und Kontinuierliche PoE läuft
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Manuel Baum authored
Refactoring: ContinuousNode introduced, moved stuff from Discrete and Continuous Node so generic Node, created MCMC example for multiple continuous Models
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- Jun 15, 2013
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Manuel Baum authored
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Manuel Baum authored
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
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- Jun 13, 2013
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Manuel Baum authored
ExampleComparison is running correctly, Added MetropolisHastingsAlgorithm as StateTransition and began generalization of MCMC to continuous spaces
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- May 23, 2013
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Manuel Baum authored
Changed behaviour of ProbabilityTable.to_jpt_by_states back to origninal behaviour, as is documented... I dont know who changed it
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