- sample(BayesianNetwork, List<? extends Vertex>, int, KeanuRandom) - Static method in class io.improbable.keanu.algorithms.sampling.Prior
-
- sample(double, double, double, double, KeanuRandom) - Static method in class io.improbable.keanu.distributions.continuous.Beta
-
- sample(int, KeanuRandom) - Static method in class io.improbable.keanu.distributions.continuous.ChiSquared
-
- sample(double, double, KeanuRandom) - Static method in class io.improbable.keanu.distributions.continuous.Exponential
-
- sample(double, double, double, KeanuRandom) - Static method in class io.improbable.keanu.distributions.continuous.Gamma
-
- sample(double, double, KeanuRandom) - Static method in class io.improbable.keanu.distributions.continuous.Gaussian
-
- sample(double, double, KeanuRandom) - Static method in class io.improbable.keanu.distributions.continuous.InverseGamma
-
- sample(double, double, KeanuRandom) - Static method in class io.improbable.keanu.distributions.continuous.Laplace
-
- sample(double, double, KeanuRandom) - Static method in class io.improbable.keanu.distributions.continuous.Logistic
-
- sample(double, double, double, KeanuRandom) - Static method in class io.improbable.keanu.distributions.continuous.SmoothUniform
-
Will return samples between xMin and xMax as well as samples from the left and right shoulder.
- sample(int, KeanuRandom) - Static method in class io.improbable.keanu.distributions.continuous.StudentT
-
Computer Generation of Statistical Distributions
by Richard Saucier
ARL-TR-2168 March 2000
5.1.23 page 36
- sample(double, double, double, KeanuRandom) - Static method in class io.improbable.keanu.distributions.continuous.Triangular
-
- sample(double, double, KeanuRandom) - Static method in class io.improbable.keanu.distributions.continuous.Uniform
-
- sample(double, KeanuRandom) - Static method in class io.improbable.keanu.distributions.discrete.Poisson
-
- sample(int[], DoubleTensor, DoubleTensor, DoubleTensor, DoubleTensor, KeanuRandom) - Static method in class io.improbable.keanu.distributions.tensors.continuous.TensorBeta
-
- sample(int[], IntegerTensor, KeanuRandom) - Static method in class io.improbable.keanu.distributions.tensors.continuous.TensorChiSquared
-
- sample(int[], DoubleTensor, DoubleTensor, KeanuRandom) - Static method in class io.improbable.keanu.distributions.tensors.continuous.TensorExponential
-
- sample(int[], DoubleTensor, DoubleTensor, DoubleTensor, KeanuRandom) - Static method in class io.improbable.keanu.distributions.tensors.continuous.TensorGamma
-
- sample(int[], DoubleTensor, DoubleTensor, KeanuRandom) - Static method in class io.improbable.keanu.distributions.tensors.continuous.TensorGaussian
-
- sample(int[], DoubleTensor, DoubleTensor, KeanuRandom) - Static method in class io.improbable.keanu.distributions.tensors.continuous.TensorInverseGamma
-
- sample(int[], DoubleTensor, DoubleTensor, KeanuRandom) - Static method in class io.improbable.keanu.distributions.tensors.continuous.TensorLaplace
-
- sample(int[], DoubleTensor, DoubleTensor, KeanuRandom) - Static method in class io.improbable.keanu.distributions.tensors.continuous.TensorLogistic
-
- sample(int[], DoubleTensor, DoubleTensor, double, KeanuRandom) - Static method in class io.improbable.keanu.distributions.tensors.continuous.TensorSmoothUniform
-
- sample(int[], IntegerTensor, KeanuRandom) - Static method in class io.improbable.keanu.distributions.tensors.continuous.TensorStudentT
-
Computer Generation of Statistical Distributions
by Richard Saucier
ARL-TR-2168 March 2000
5.1.23 page 36
- sample(int[], DoubleTensor, DoubleTensor, DoubleTensor, KeanuRandom) - Static method in class io.improbable.keanu.distributions.tensors.continuous.TensorTriangular
-
- sample(int[], DoubleTensor, DoubleTensor, KeanuRandom) - Static method in class io.improbable.keanu.distributions.tensors.continuous.TensorUniform
-
- sample(int[], DoubleTensor, KeanuRandom) - Static method in class io.improbable.keanu.distributions.tensors.discrete.TensorPoisson
-
- sample(double, KeanuRandom) - Static method in class io.improbable.keanu.distributions.tensors.discrete.TensorPoisson
-
- sample(KeanuRandom) - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.BooleanIfVertex
-
- sample(KeanuRandom) - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.CastBoolVertex
-
- sample(KeanuRandom) - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.ConstantBoolVertex
-
- sample(KeanuRandom) - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.binary.BoolBinaryOpVertex
-
- sample(KeanuRandom) - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.multiple.BoolReduceVertex
-
- sample(KeanuRandom) - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.NumericalEqualsVertex
-
- sample(KeanuRandom) - Method in class io.improbable.keanu.vertices.bool.nonprobabilistic.operators.unary.BoolUnaryOpVertex
-
- sample(KeanuRandom) - Method in class io.improbable.keanu.vertices.bool.probabilistic.Flip
-
- sample(KeanuRandom) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.CastDoubleVertex
-
- sample(KeanuRandom) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.ConstantDoubleVertex
-
- sample(KeanuRandom) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.DoubleIfVertex
-
- sample(KeanuRandom) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DoubleBinaryOpLambda
-
- sample(KeanuRandom) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DoubleBinaryOpVertex
-
- sample(KeanuRandom) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.multiple.DoubleReduceVertex
-
- sample(KeanuRandom) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.DoubleUnaryOpLambda
-
- sample(KeanuRandom) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.DoubleUnaryOpVertex
-
- sample(KeanuRandom) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.BetaVertex
-
- sample(KeanuRandom) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.ChiSquaredVertex
-
- sample(KeanuRandom) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.ExponentialVertex
-
- sample(KeanuRandom) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.GammaVertex
-
- sample(KeanuRandom) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.GaussianVertex
-
- sample(KeanuRandom) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.InverseGammaVertex
-
- sample(KeanuRandom) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.LaplaceVertex
-
- sample(KeanuRandom) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.LogisticVertex
-
- sample(KeanuRandom) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.SmoothUniformVertex
-
- sample(KeanuRandom) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.StudentTVertex
-
- sample(KeanuRandom) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.TriangularVertex
-
- sample(KeanuRandom) - Method in class io.improbable.keanu.vertices.dbl.probabilistic.UniformVertex
-
- sample(KeanuRandom) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.ConstantGenericVertex
-
- sample(KeanuRandom) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.CPTVertex
-
- sample(KeanuRandom) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.IfVertex
-
- sample(KeanuRandom) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.MultiplexerVertex
-
- sample(KeanuRandom) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.operators.binary.BinaryOpVertex
-
- sample(KeanuRandom) - Method in class io.improbable.keanu.vertices.generic.nonprobabilistic.operators.unary.UnaryOpVertex
-
- sample(KeanuRandom) - Method in class io.improbable.keanu.vertices.generic.probabilistic.discrete.SelectVertex
-
- sample(KeanuRandom) - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.CastIntegerVertex
-
- sample(KeanuRandom) - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.ConstantIntegerVertex
-
- sample(KeanuRandom) - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.binary.IntegerBinaryOpVertex
-
- sample(KeanuRandom) - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.unary.IntegerUnaryOpLambda
-
- sample(KeanuRandom) - Method in class io.improbable.keanu.vertices.intgr.nonprobabilistic.operators.unary.IntegerUnaryOpVertex
-
- sample(KeanuRandom) - Method in class io.improbable.keanu.vertices.intgr.probabilistic.PoissonVertex
-
- sample(KeanuRandom) - Method in class io.improbable.keanu.vertices.intgr.probabilistic.UniformIntVertex
-
- sample(KeanuRandom) - Method in class io.improbable.keanu.vertices.Vertex
-
- samples - Variable in class io.improbable.keanu.algorithms.VertexSamples
-
- sampleUsingDefaultRandom() - Method in class io.improbable.keanu.vertices.Vertex
-
- scalar(boolean) - Static method in interface io.improbable.keanu.tensor.bool.BooleanTensor
-
- scalar() - Method in class io.improbable.keanu.tensor.bool.SimpleBooleanTensor
-
- scalar(double) - Static method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- scalar(double) - Static method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- scalar() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- scalar() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- scalar() - Method in class io.improbable.keanu.tensor.generic.GenericTensor
-
- scalar(int) - Static method in interface io.improbable.keanu.tensor.intgr.IntegerTensor
-
- scalar(int) - Static method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
-
- scalar() - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
-
- scalar() - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
-
- scalar() - Method in interface io.improbable.keanu.tensor.Tensor
-
- scalar(T) - Static method in interface io.improbable.keanu.tensor.Tensor
-
- SCALAR_SHAPE - Static variable in interface io.improbable.keanu.tensor.Tensor
-
- SCALAR_STRIDE - Static variable in interface io.improbable.keanu.tensor.Tensor
-
- ScalarDoubleTensor - Class in io.improbable.keanu.tensor.dbl
-
- ScalarDoubleTensor(double) - Constructor for class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- ScalarDoubleTensor(int[]) - Constructor for class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- ScalarIntegerTensor - Class in io.improbable.keanu.tensor.intgr
-
- ScalarIntegerTensor(int) - Constructor for class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
-
- ScalarIntegerTensor(int[]) - Constructor for class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
-
- SelectVertex<T> - Class in io.improbable.keanu.vertices.generic.probabilistic.discrete
-
- SelectVertex(Map<T, DoubleVertex>) - Constructor for class io.improbable.keanu.vertices.generic.probabilistic.discrete.SelectVertex
-
- set(long, T) - Method in interface io.improbable.keanu.tensor.Tensor.FlattenedView
-
- setAndCascade(boolean) - Method in class io.improbable.keanu.vertices.bool.BoolVertex
-
- setAndCascade(boolean[]) - Method in class io.improbable.keanu.vertices.bool.BoolVertex
-
- setAndCascade(boolean, Map<Long, Long>) - Method in class io.improbable.keanu.vertices.bool.BoolVertex
-
- setAndCascade(boolean[], Map<Long, Long>) - Method in class io.improbable.keanu.vertices.bool.BoolVertex
-
- setAndCascade(double) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
-
- setAndCascade(double[]) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
-
- setAndCascade(double, Map<Long, Long>) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
-
- setAndCascade(double[], Map<Long, Long>) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
-
- setAndCascade(int) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex
-
- setAndCascade(int[]) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex
-
- setAndCascade(int, Map<Long, Long>) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex
-
- setAndCascade(int[], Map<Long, Long>) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex
-
- 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.
- setAndCascade(T, Map<Long, Long>) - Method in class io.improbable.keanu.vertices.Vertex
-
- setBooleanIf(BooleanTensor, BooleanTensor) - Method in interface io.improbable.keanu.tensor.bool.BooleanTensor
-
- setBooleanIf(BooleanTensor, BooleanTensor) - Method in class io.improbable.keanu.tensor.bool.SimpleBooleanTensor
-
- setDefaultRandomSeed(long) - Static method in class io.improbable.keanu.vertices.dbl.KeanuRandom
-
- setDoubleIf(DoubleTensor, DoubleTensor) - Method in interface io.improbable.keanu.tensor.bool.BooleanTensor
-
- setDoubleIf(DoubleTensor, DoubleTensor) - Method in class io.improbable.keanu.tensor.bool.SimpleBooleanTensor
-
- setFromSampleAndCascade(List<? extends Vertex>, KeanuRandom) - Static method in class io.improbable.keanu.network.BayesianNetwork
-
- setFromSampleAndCascade(List<? extends Vertex>, Map<Long, Long>, KeanuRandom) - Static method in class io.improbable.keanu.network.BayesianNetwork
-
- setIf(Tensor<T>, Tensor<T>) - Method in interface io.improbable.keanu.tensor.bool.BooleanTensor
-
- setIf(Tensor<T>, Tensor<T>) - Method in class io.improbable.keanu.tensor.bool.SimpleBooleanTensor
-
- setIntegerIf(IntegerTensor, IntegerTensor) - Method in interface io.improbable.keanu.tensor.bool.BooleanTensor
-
- setIntegerIf(IntegerTensor, IntegerTensor) - Method in class io.improbable.keanu.tensor.bool.SimpleBooleanTensor
-
- setParents(Collection<? extends Vertex>) - Method in class io.improbable.keanu.vertices.Vertex
-
- setParents(Vertex<?>...) - Method in class io.improbable.keanu.vertices.Vertex
-
- setRandom(KeanuRandom) - Method in class io.improbable.keanu.randomfactory.DoubleVertexFactory
-
- setRandom(KeanuRandom) - Method in class io.improbable.keanu.randomfactory.RandomDoubleFactory
-
- setRandom(KeanuRandom) - Method in interface io.improbable.keanu.randomfactory.RandomFactory
-
- setValue(Boolean, int...) - Method in class io.improbable.keanu.tensor.bool.SimpleBooleanTensor
-
- setValue(Double, int...) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- setValue(Double, int[]) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- setValue(T, int...) - Method in class io.improbable.keanu.tensor.generic.GenericTensor
-
- setValue(Integer, int...) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
-
- setValue(Integer, int...) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
-
- setValue(T, int...) - Method in interface io.improbable.keanu.tensor.Tensor
-
- setValue(boolean) - Method in class io.improbable.keanu.vertices.bool.BoolVertex
-
- setValue(boolean[]) - Method in class io.improbable.keanu.vertices.bool.BoolVertex
-
- setValue(double) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
-
- setValue(double[]) - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
-
- setValue(int) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex
-
- setValue(int[]) - Method in class io.improbable.keanu.vertices.intgr.IntegerVertex
-
- setValue(T) - Method in class io.improbable.keanu.vertices.Vertex
-
Sets the value if the vertex isn't already observed.
- setWithMask(DoubleTensor, double) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- setWithMask(DoubleTensor, double) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- setWithMask(DoubleTensor, double) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- setWithMask(IntegerTensor, int) - Method in interface io.improbable.keanu.tensor.intgr.IntegerTensor
-
- setWithMask(IntegerTensor, int) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
-
- setWithMask(IntegerTensor, int) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
-
- setWithMaskInPlace(DoubleTensor, double) - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- setWithMaskInPlace(DoubleTensor, double) - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- setWithMaskInPlace(DoubleTensor, double) - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- setWithMaskInPlace(IntegerTensor, int) - Method in interface io.improbable.keanu.tensor.intgr.IntegerTensor
-
- setWithMaskInPlace(IntegerTensor, int) - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
-
- setWithMaskInPlace(IntegerTensor, int) - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
-
- shallowCopy() - Method in class io.improbable.keanu.algorithms.particlefiltering.ParticleFilter.Particle
-
- sigmoid() - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- sigmoid() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- sigmoid() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- sigmoid() - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
-
- sigmoidInPlace() - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- sigmoidInPlace() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- sigmoidInPlace() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- SigmoidVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary
-
- SigmoidVertex(DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.SigmoidVertex
-
- SimpleBooleanTensor - Class in io.improbable.keanu.tensor.bool
-
- SimpleBooleanTensor(boolean[], int[]) - Constructor for class io.improbable.keanu.tensor.bool.SimpleBooleanTensor
-
- SimpleBooleanTensor(boolean) - Constructor for class io.improbable.keanu.tensor.bool.SimpleBooleanTensor
-
- SimpleBooleanTensor(int[]) - Constructor for class io.improbable.keanu.tensor.bool.SimpleBooleanTensor
-
- SimpleBooleanTensor(boolean, int[]) - Constructor for class io.improbable.keanu.tensor.bool.SimpleBooleanTensor
-
- SimpleNetworkState - Class in io.improbable.keanu.network
-
- SimpleNetworkState(Map<Long, ?>) - 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
-
An annealing schedule determines how T (temperature) changes as
a function of the current iteration number (i.e.
- sin() - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- sin() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- sin() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- sin() - Method in class io.improbable.keanu.vertices.dbl.DoubleVertex
-
- sin() - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.diff.DualNumber
-
- sinInPlace() - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- sinInPlace() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- sinInPlace() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- SinVertex - Class in io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary
-
- 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
-
- size() - Method in interface io.improbable.keanu.tensor.Tensor.FlattenedView
-
- SmoothUniform - 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(int[], DoubleVertex, DoubleVertex, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.SmoothUniformVertex
-
One xMin or Xmax or both driving an arbitrarily shaped tensor of Smooth Uniform
- SmoothUniformVertex(DoubleVertex, DoubleVertex, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.SmoothUniformVertex
-
One to one constructor for mapping some shape of mu and sigma to
a matching shaped Smooth Uniform.
- SmoothUniformVertex(DoubleVertex, double, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.SmoothUniformVertex
-
- SmoothUniformVertex(double, DoubleVertex, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.SmoothUniformVertex
-
- SmoothUniformVertex(double, double, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.SmoothUniformVertex
-
- SmoothUniformVertex(DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.SmoothUniformVertex
-
- SmoothUniformVertex(DoubleVertex, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.SmoothUniformVertex
-
- SmoothUniformVertex(double, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.SmoothUniformVertex
-
- SmoothUniformVertex(double, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.SmoothUniformVertex
-
- SmoothUniformVertex(int[], DoubleVertex, double, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.SmoothUniformVertex
-
- SmoothUniformVertex(int[], double, DoubleVertex, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.SmoothUniformVertex
-
- SmoothUniformVertex(int[], double, double, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.SmoothUniformVertex
-
- SmoothUniformVertex(int[], DoubleVertex, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.SmoothUniformVertex
-
- SmoothUniformVertex(int[], DoubleVertex, double) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.SmoothUniformVertex
-
- SmoothUniformVertex(int[], double, DoubleVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.SmoothUniformVertex
-
- SmoothUniformVertex(int[], 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
-
- sqrt() - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- sqrt() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- sqrt() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- sqrtInPlace() - Method in interface io.improbable.keanu.tensor.dbl.DoubleTensor
-
- sqrtInPlace() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
-
- sqrtInPlace() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
-
- stream(boolean) - Method in class io.improbable.keanu.util.csv.pojo.ObjectParser
-
- stream() - Method in class io.improbable.keanu.util.csv.pojo.ObjectParser
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- streamLines() - Method in class io.improbable.keanu.util.csv.CsvReader
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Read all lines from the csv file one at a time without ever holding
the entire csv file in memory
- StudentT - Class in io.improbable.keanu.distributions.continuous
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Student T Distribution
https://en.wikipedia.org/wiki/Student%27s_t-distribution#Sampling_distribution
- StudentT() - Constructor for class io.improbable.keanu.distributions.continuous.StudentT
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- StudentT.Diff - Class in io.improbable.keanu.distributions.continuous
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Differential Equation Class to store result of d/dv and d/dt
- StudentTVertex - Class in io.improbable.keanu.vertices.dbl.probabilistic
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- StudentTVertex(int[], IntegerVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.StudentTVertex
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- StudentTVertex(int[], int) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.StudentTVertex
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- StudentTVertex(IntegerVertex) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.StudentTVertex
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- StudentTVertex(int) - Constructor for class io.improbable.keanu.vertices.dbl.probabilistic.StudentTVertex
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- subtract(DualNumber) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.diff.DualNumber
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- subtract(PartialDerivatives) - Method in class io.improbable.keanu.vertices.dbl.nonprobabilistic.diff.PartialDerivatives
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- sum() - Method in class io.improbable.keanu.tensor.dbl.Nd4jDoubleTensor
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- sum() - Method in class io.improbable.keanu.tensor.dbl.ScalarDoubleTensor
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- sum() - Method in class io.improbable.keanu.tensor.intgr.Nd4jIntegerTensor
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- sum() - Method in class io.improbable.keanu.tensor.intgr.ScalarIntegerTensor
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- sum() - Method in interface io.improbable.keanu.tensor.NumberTensor
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