SVMKernel

SVMKernelMatrix

ScaledKernel

Sde

SdeParameter

SeasonalModel

SecondOrderProcessModel

SeparableStationaryKernel

kernels

Session

Shape

Sigma

Sigmoid

SimData

SimpleBFGSUpdater

SimpleUpdater

SkewGaussian

SkewSymmDistribution

Slice

SparkGLM

lm

SparkGLMPipe2

modelpipe

SparkLogisticGLM

lm

SparkMatrix

SparkPSDMatrix

SparkProbitGLM

lm

SparkSquareMatrix

SparkVector

SparkVectorLike

SparseOutput

SplineGenerator

analysis

SquaredL2Updater

optimization

State

generalDLM statespace

StateParameter

StateSpace

StateSpaceModel

StationaryKernel

StepConstantParameter

statespace

StochasticProcessMixtureModel

StochasticProcessModel

AdditiveCovariance MultiplicativeCovariance TensorCombinationKernel

StochasticProcessPrior

bayes

StudentTMixturePipe

modelpipe

StudentTProcessMixture

stp

StudentTRegression

stp

StudentsTRV

SubsampledDualLSSVM

SubsetSelector

Synapse

sID

sample

ParticleFilter AbstractGaussianRV ContinuousRVWithDistr DiscreteDistrRV DiscreteRVWithDistr IIDRandomVarDistr IIDRandomVariable JointProbabilityScheme RandomVariable RejectionSamplingScheme ThreadedRandomVariable AdaptiveHyperParameterMCMC

sampleAcceptenceRate

AdaptiveHyperParameterMCMC

save

ArffFile

sbtVersion

BuildInfo

scalaVersion

BuildInfo

scalar

InnerProductPV MatrixVectorSpace PartitionedVectorField VectorField innerProdDouble innerProdTuple2

scale

LeafParameter

scaleAttributes

LSSVMModel LSSVMSparkModel

scalePrototype

KernelSparkModel

scoreSparkVector

LSSVMSparkModel

scores

BinaryClassificationMetricsSpark RegressionMetricsSpark

scoresAndLabels

BinaryClassificationMetrics BinaryClassificationMetricsSpark Metrics MetricsTF MultiRegressionMetrics RegressionMetrics RegressionMetricsSpark

scoresToEnergy

~~GPRegression~~ StudentTRegression

scores_and_labels

BinaryClassificationMetrics BinaryClassificationMetricsSpark MultiRegressionMetrics RegressionMetrics RegressionMetricsSpark

sdeParam

sdeState

selectPrototypes

selu

sequence

setActivationFunc

setBandwidth

GaussianDensityKernel

setBaseLinePolicy

MixtureMachine ProbGPCommMachine

setBatchFraction

setBlockSizes

setComment

setFeatureMap

setGradient

setGridSize

AbstractCSA AbstractGridSearch ModelTuner

setHyperParameters

AdditiveCovariance CoRegGraphKernel CovarianceFunction DecomposableCovariance GenericMaternKernel LinearPDEKernel LocallyStationaryKernel MultiplicativeCovariance PolynomialKernel TensorCombinationKernel HasHyperParameters

setLayer

setLearningRate

setLocalFieldBuffer

setLocalGradBuffer

setLogScale

AbstractCSA AbstractGridSearch ModelTuner

setMaxIterations

ParameterizedLearner AbstractCSA

setMiniBatchFraction

KernelSparkModel RegularizedOptimizer

setMomentum

CommitteeNetwork FeedForwardNetwork BackPropagation

setNID

setName

setNeuronType

setNoiseLevel

setNumIterations

setNumSamples

setPolicy

MixtureMachine ProbGPCommMachine

setPrevWeightUpdate

Synapse

setPrior

ModelTuner

setRegParam

ParameterizedLearner LSSVMSparkModel RegularizedOptimizer

setRelation

ArffFile CausalEdge

setScale

RationalQuadraticKernel

setShape

RationalQuadraticKernel

setSlope

Parameter

setSparsityWeight

BackPropagation

setState

AbstractGPClassification AbstractGPRegressionModel GeneralizedLinearModel ESGPModel AbstractSTPRegressionModel MVStudentsTModel AbstractDualLSSVM

setStepSize

AbstractCSA AbstractGridSearch ModelTuner RegularizedOptimizer

setUpdater

setValue

setValueBuffer

setVariant

setWeight

setbandwidth

setbeta

ExponentialKernel LaplacianKernel

setc

setdegree

setfrequency

sethurst

setk

AnovaCovFunc AnovaKernel

setlengthscale

PeriodicKernel

setoffset

LinearKernel MLP1dKernel MLPKernel PolynomialKernel

setscale

WaveletKernel

setsigma

AnovaCovFunc AnovaKernel CauchyKernel

setw

MLP1dKernel MLPKernel

sgp

AbstractGPRegressionModel ESGPModel

sgpTuning

DynaMLPipe

shape

Erlang

sigma

sigmaGLSCache

sigmaInverse

simData

simLGCP

simLGCPEvents

simSdeIrregular

simSdeStream

simStep

simStream

simulate

solve

sparsityWeight

BackPropagation

splitFeaturesAndTargets

DynaMLPipe

splitTrainingTest

DynaMLPipe

sqrt

QuadraticRenyiEntropy

square

GenericAutoEncoder GenericFFNeuralNet FFBackProp GradBasedBackPropagation

stack

GenericAutoEncoder dtf

stackFactory

state

CovarianceFunction Data PfOut Sde HasHyperParameters

stateIntervals

statespace

stats

step

stepBrownian

stepConstant

stepFilter

stepFunction

stepNull

stepOrnstein

stepSize

stp

strReplace

stratifiedResampling

streamToFile

studentTModel

subBlockVecAandB

subBlockedMatAandB

subDVecAandB

subMatAandB

subPartitionedLMatAandUB

subPartitionedMatAandB

subPartitionedPSDMatAandMatB

subPartitionedVecAandB

subVecAandB

DistributedMatrixOps

subsetSelectionQRE

GreedyEntropySelector

svm