- sample(BayesNet, List<? extends Vertex<?>>, int) - Static method in class io.improbable.keanu.algorithms.sampling.Prior
-
- sample(double, double, double, double, Random) - Static method in class io.improbable.keanu.distributions.continuous.Beta
-
Computer Generation of Statistical Distributions
by Richard Saucier
ARL-TR-2168 March 2000
5.1.2 page 14
- sample(double, double, Random) - Static method in class io.improbable.keanu.distributions.continuous.Exponential
-
Computer Generation of Statistical Distributions
by Richard Saucier
ARL-TR-2168 March 2000
5.1.8 page 20
- sample(double, double, double, Random) - Static method in class io.improbable.keanu.distributions.continuous.Gamma
-
- sample(double, double, Random) - Static method in class io.improbable.keanu.distributions.continuous.Gaussian
-
- sample(double, double, Random) - Static method in class io.improbable.keanu.distributions.continuous.Laplace
-
Computer Generation of Statistical Distributions
by Richard Saucier
ARL-TR-2168 March 2000
5.1.8 page 25
- sample(double, double, Random) - Static method in class io.improbable.keanu.distributions.continuous.Logistic
-
- sample(double, double, double, Random) - Static method in class io.improbable.keanu.distributions.continuous.SmoothUniformDistribution
-
Will return samples between xMin and xMax as well as samples from the left and right shoulder.
- sample(double, double, double, Random) - Static method in class io.improbable.keanu.distributions.continuous.Triangular
-
Computer Generation of Statistical Distributions
by Richard Saucier
ARL-TR-2168 March 2000
5.1.24 page 37
- sample(double, double, Random) - Static method in class io.improbable.keanu.distributions.continuous.Uniform
-
Computer Generation of Statistical Distributions
by Richard Saucier
ARL-TR-2168 March 2000
5.1.8 page 48
- sample() - Method in class io.improbable.keanu.distributions.discrete.Poisson
-
- sample() - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.CastBoolVertex
-
- sample() - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.ConstantBoolVertex
-
- sample() - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.BoolBinaryOpVertex
-
- sample() - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.multiple.BoolReduceVertex
-
- sample() - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.NumericalEqualsVertex
-
- sample() - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.unary.BoolUnaryOpVertex
-
- sample() - Method in class io.improbable.keanu.vertices.bool.probabilistic.Flip
-
- sample() - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.CastDoubleVertex
-
- sample() - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.ConstantDoubleVertex
-
- sample() - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DoubleBinaryOpLambda
-
- sample() - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DoubleBinaryOpVertex
-
- sample() - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.multiple.DoubleReduceVertex
-
- sample() - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.DoubleUnaryOpLambda
-
- sample() - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.DoubleUnaryOpVertex
-
- sample() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.BetaVertex
-
- sample() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.ExponentialVertex
-
- sample() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.GammaVertex
-
- sample() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.GaussianVertex
-
- sample() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.LaplaceVertex
-
- sample() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.LogisticVertex
-
- sample() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.SmoothUniformVertex
-
- sample() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.TriangularVertex
-
- sample() - Method in class io.improbable.keanu.vertices.dbl.probabilistic.UniformVertex
-
- sample() - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.ConstantVertex
-
- sample() - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.CPTVertex
-
- sample() - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.IfVertex
-
- sample() - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.MultiplexerVertex
-
- sample() - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.operators.binary.BinaryOpVertex
-
- sample() - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.operators.unary.UnaryOpVertex
-
- sample() - Method in class io.improbable.keanu.vertices.generic.probabilistic.discrete.SelectVertex
-
- sample() - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.CastIntegerVertex
-
- sample() - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.ConstantIntegerVertex
-
- sample() - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary.IntegerBinaryOpVertex
-
- sample() - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.unary.IntegerUnaryOpLambda
-
- sample() - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.unary.IntegerUnaryOpVertex
-
- sample() - Method in class io.improbable.keanu.vertices.intgr.probabilistic.FuzzyCastToIntegerVertex
-
- sample() - Method in class io.improbable.keanu.vertices.intgr.probabilistic.PoissonVertex
-
- sample() - Method in class io.improbable.keanu.vertices.intgr.probabilistic.UniformIntVertex
-
- sample() - Method in class io.improbable.keanu.vertices.Vertex
-
- sampleAndCascade(List<? extends Vertex<?>>) - Static method in class io.improbable.keanu.network.BayesNet
-
- sampleAndCascade(Vertex<T>) - Static method in class io.improbable.keanu.network.BayesNet
-
- samples - Variable in class io.improbable.keanu.algorithms.VertexSamples
-
- SelectVertex<T> - Class in io.improbable.keanu.vertices.generic.probabilistic.discrete
-
- SelectVertex(LinkedHashMap<T, DoubleVertex>, Random) - Constructor for class io.improbable.keanu.vertices.generic.probabilistic.discrete.SelectVertex
-
- SelectVertex(LinkedHashMap<T, DoubleVertex>) - Constructor for class io.improbable.keanu.vertices.generic.probabilistic.discrete.SelectVertex
-
- setAndCascade(T) - Method in class io.improbable.keanu.vertices.Vertex
-
This sets the value in this vertex and tells each child vertex about
the new change.
- setParents(Collection<? extends Vertex<?>>) - Method in class io.improbable.keanu.vertices.Vertex
-
- setParents(Vertex<?>...) - Method in class io.improbable.keanu.vertices.Vertex
-
- setPoint(double[]) - Method in class io.improbable.keanu.algorithms.variational.FitnessFunction
-
- setRandom(Random) - Method in class io.improbable.keanu.randomFactory.DoubleVertexFactory
-
- setRandom(Random) - Method in class io.improbable.keanu.randomFactory.RandomDoubleFactory
-
- setRandom(Random) - Method in interface io.improbable.keanu.randomFactory.RandomFactory
-
- setValue(T) - Method in class io.improbable.keanu.vertices.Vertex
-
Sets the value if the vertex isn't already observed.
- shallowCopy() - Method in class io.improbable.keanu.algorithms.particleFiltering.ParticleFilter.Particle
-
- SimpleNetworkState - Class in io.improbable.keanu.network
-
- SimpleNetworkState(Map<String, ?>) - Constructor for class io.improbable.keanu.network.SimpleNetworkState
-
- SimulatedAnnealing - Class in io.improbable.keanu.algorithms.mcmc
-
Simulated Annealing is a modified version of Metropolis Hastings that causes the MCMC random walk to
tend towards the maximum a posteriori (MAP)
- SimulatedAnnealing() - Constructor for class io.improbable.keanu.algorithms.mcmc.SimulatedAnnealing
-
- SimulatedAnnealing.AnnealingSchedule - Interface in io.improbable.keanu.algorithms.mcmc
-
- SinVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary
-
- SinVertex(double) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.SinVertex
-
- SinVertex(DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.SinVertex
-
- size() - Method in class io.improbable.keanu.algorithms.NetworkSamples
-
- size() - Method in class io.improbable.keanu.plating.Plates
-
- SmoothUniformDistribution - Class in io.improbable.keanu.distributions.continuous
-
The Smooth Uniform distribution is the usual Uniform distribution with the edges
at max and min smoothed by attaching a sigmoid as shoulders.
- SmoothUniformVertex - Class in io.improbable.keanu.vertices.dbl.probabilistic
-
- SmoothUniformVertex(DoubleVertex, DoubleVertex, double, Random) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.SmoothUniformVertex
-
- SmoothUniformVertex(DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.SmoothUniformVertex
-
- SmoothUniformVertex(double, double, Random) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.SmoothUniformVertex
-
- SmoothUniformVertex(double, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.SmoothUniformVertex
-
- sort(Collection<? extends Vertex<?>>) - Static method in class io.improbable.keanu.algorithms.graphtraversal.TopologicalSort
-
- sort(Collection<? extends Vertex<?>>) - Static method in class io.improbable.keanu.algorithms.particleFiltering.LatentIncrementSort
-
Orders observed vertices by the smallest increment of additional latent vertices upstream of the observed vertex.
- sortDescending(ParticleFilter.Particle, ParticleFilter.Particle) - Static method in class io.improbable.keanu.algorithms.particleFiltering.ParticleFilter.Particle
-
- stream(boolean) - Method in class io.improbable.keanu.util.csv.pojo.ObjectParser
-
- stream() - Method in class io.improbable.keanu.util.csv.pojo.ObjectParser
-
- streamLines() - Method in class io.improbable.keanu.util.csv.CsvReader
-
Read all lines from the csv file one at a time without ever holding
the entire csv file in memory
- subtract(DualNumber) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.diff.DualNumber
-
- subtract(Infinitesimal) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.diff.Infinitesimal
-