- sample() - Method in class cc.kave.repackaged.jayes.sampling.BasicSampler
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- sample() - Method in interface cc.kave.repackaged.jayes.sampling.ISampler
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- scalarProduct(int[], int[]) - Static method in class cc.kave.repackaged.jayes.util.MathUtils
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- scratchpad - Variable in class cc.kave.repackaged.jayes.inference.junctionTree.JunctionTreeAlgorithm
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- secureDivide(double[], double[], double[]) - Static method in class cc.kave.repackaged.jayes.util.MathUtils
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computes c := a / b , but avoids division by zero.
- secureSubtract(double[], double[], double[]) - Static method in class cc.kave.repackaged.jayes.util.MathUtils
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- seed(long) - Method in class cc.kave.repackaged.jayes.inference.LikelihoodWeightedSampling
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- seed(long) - Method in class cc.kave.repackaged.jayes.inference.RejectionSampling
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- seed(long) - Method in class cc.kave.repackaged.jayes.sampling.BasicSampler
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- seed(long) - Method in interface cc.kave.repackaged.jayes.sampling.ISampler
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- select(int, int) - Method in class cc.kave.repackaged.jayes.factor.AbstractFactor
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- selections - Variable in class cc.kave.repackaged.jayes.factor.AbstractFactor
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- sepSets - Variable in class cc.kave.repackaged.jayes.inference.junctionTree.JunctionTreeAlgorithm
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- set(int, double) - Method in class cc.kave.repackaged.jayes.factor.arraywrapper.DoubleArrayWrapper
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- set(int, float) - Method in class cc.kave.repackaged.jayes.factor.arraywrapper.DoubleArrayWrapper
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- set(int, double) - Method in class cc.kave.repackaged.jayes.factor.arraywrapper.FloatArrayWrapper
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- set(int, float) - Method in class cc.kave.repackaged.jayes.factor.arraywrapper.FloatArrayWrapper
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- set(int, double) - Method in interface cc.kave.repackaged.jayes.factor.arraywrapper.IArrayWrapper
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- set(int, float) - Method in interface cc.kave.repackaged.jayes.factor.arraywrapper.IArrayWrapper
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- setArray(double...) - Method in class cc.kave.repackaged.jayes.factor.arraywrapper.DoubleArrayWrapper
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- setArray(float...) - Method in class cc.kave.repackaged.jayes.factor.arraywrapper.DoubleArrayWrapper
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- setArray(double...) - Method in class cc.kave.repackaged.jayes.factor.arraywrapper.FloatArrayWrapper
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- setArray(float...) - Method in class cc.kave.repackaged.jayes.factor.arraywrapper.FloatArrayWrapper
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- setArray(double...) - Method in interface cc.kave.repackaged.jayes.factor.arraywrapper.IArrayWrapper
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- setArray(float...) - Method in interface cc.kave.repackaged.jayes.factor.arraywrapper.IArrayWrapper
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- setClusters(List<List<Integer>>) - Method in class cc.kave.repackaged.jayes.inference.junctionTree.JunctionTree
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- setDimensionIDs(int...) - Method in class cc.kave.repackaged.jayes.factor.AbstractFactor
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tells the Factor which variables the dimensions correspond to.
- setDimensions(int...) - Method in class cc.kave.repackaged.jayes.factor.AbstractFactor
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- setDimensions(int...) - Method in class cc.kave.repackaged.jayes.factor.SparseFactor
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- setEvidence(Map<BayesNode, String>) - Method in class cc.kave.repackaged.jayes.inference.AbstractInferer
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- setEvidence(Map<BayesNode, String>) - Method in interface cc.kave.repackaged.jayes.inference.IBayesInferer
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- setEvidence(Map<BayesNode, String>) - Method in class cc.kave.repackaged.jayes.sampling.BasicSampler
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- setEvidence(Map<BayesNode, String>) - Method in interface cc.kave.repackaged.jayes.sampling.ISampler
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- setFactorFactory(FactorFactory) - Method in class cc.kave.repackaged.jayes.inference.AbstractInferer
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- setFloatingPointType(Class<?>) - Method in class cc.kave.repackaged.jayes.factor.FactorFactory
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sets the floating point precision to use.
- setId(int) - Method in class cc.kave.repackaged.jayes.BayesNode
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- setJunctionTreeBuilder(JunctionTreeBuilder) - Method in class cc.kave.repackaged.jayes.inference.junctionTree.JunctionTreeAlgorithm
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- setLogScale(boolean) - Method in class cc.kave.repackaged.jayes.factor.AbstractFactor
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- setName(String) - Method in class cc.kave.repackaged.jayes.BayesNet
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- setNetwork(BayesNet) - Method in class cc.kave.repackaged.jayes.inference.AbstractInferer
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- setNetwork(BayesNet) - Method in interface cc.kave.repackaged.jayes.inference.IBayesInferer
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- setNetwork(BayesNet) - Method in class cc.kave.repackaged.jayes.inference.junctionTree.JunctionTreeAlgorithm
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- setNetwork(BayesNet) - Method in class cc.kave.repackaged.jayes.inference.LikelihoodWeightedSampling
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- setNetwork(BayesNet) - Method in class cc.kave.repackaged.jayes.inference.RejectionSampling
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- setNetwork(BayesNet) - Method in class cc.kave.repackaged.jayes.sampling.BasicSampler
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- setNetwork(BayesNet) - Method in interface cc.kave.repackaged.jayes.sampling.ISampler
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- setParents(List<BayesNode>) - Method in class cc.kave.repackaged.jayes.BayesNode
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- setProbabilities(double...) - Method in class cc.kave.repackaged.jayes.BayesNode
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Must be called after the parents and outcomes, and the outcome of the parents are set.
- setReferenceNetwork(BayesNet) - Method in class cc.kave.repackaged.jayes.factor.FactorFactory
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- setSampleCount(int) - Method in class cc.kave.repackaged.jayes.inference.LikelihoodWeightedSampling
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- setSampleCount(int) - Method in class cc.kave.repackaged.jayes.inference.RejectionSampling
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- setSepSets(List<Pair<Graph.Edge, List<Integer>>>) - Method in class cc.kave.repackaged.jayes.inference.junctionTree.JunctionTree
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- setUseLogScale(boolean) - Method in class cc.kave.repackaged.jayes.factor.FactorFactory
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using logarithmic values for computation is a lot slower, but also a lot more numerically stable
- setValues(IArrayWrapper) - Method in class cc.kave.repackaged.jayes.factor.AbstractFactor
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- size() - Method in class cc.kave.repackaged.jayes.internal.util.BidirectionalMap
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- size() - Method in class cc.kave.repackaged.jayes.util.sharing.CanonicalSet
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- sizeOfElement() - Method in class cc.kave.repackaged.jayes.factor.arraywrapper.DoubleArrayWrapper
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- sizeOfElement() - Method in class cc.kave.repackaged.jayes.factor.arraywrapper.FloatArrayWrapper
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- sizeOfElement() - Method in interface cc.kave.repackaged.jayes.factor.arraywrapper.IArrayWrapper
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- SparseFactor - Class in cc.kave.repackaged.jayes.factor
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- SparseFactor() - Constructor for class cc.kave.repackaged.jayes.factor.SparseFactor
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- sparsify(AbstractFactor...) - Method in class cc.kave.repackaged.jayes.factor.SparseFactor
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Prepares the factor in the sense that it's internal structures are optimized according to the zero/non-zero
structure of the factors that will be multiplied in.
- sum(double[]) - Static method in class cc.kave.repackaged.jayes.util.MathUtils
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- sumPrepared(IArrayWrapper, int[]) - Method in class cc.kave.repackaged.jayes.factor.AbstractFactor
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