PCAScaler
utils
POMP
statespace
PairOps
KernelOps
ParamEdge
utils
Parameter
utils
ParameterizedLearner
models
Parameters
generalDLM statespace
ParticleFilter
statespace
ParticleMetropolis
statespace
ParticleMetropolisHastings
statespace
PartitionedDualVector
algebra
PartitionedMatrixOps
algebra
PartitionedMatrixSolvers
algebra
PartitionedVariable
api
PartitionedVector
algebra
PartitionedVectorField
analysis
PatternType
FFBackProp
PeriodicCovFunc
kernels
PeriodicKernel
kernels
PfOut
DataTypes
PfState
statespace
Point
utils
PoissonModel
POMP
PolynomialBasisGenerator
analysis
PolynomialKernel
kernels
ProbGPCommMachine
optimization
ProbitGLM
lm
ProbitGradient
optimization
ProtoSerializable
api
PushforwardMap
analysis
p
FilterOut BinomialRV
parFilter
ParticleFilter
parameterEncoding
GaussianSpectralKernel
parameter_encoder
CubicSplineARDKernel
parameters
ParameterizedLearner NeuralLayer
params
ParameterizedLearner LinearTrendESGPrior LinearTrendGaussianPrior LinearTrendStochasticPrior CommitteeModel AbstractGPClassification GPCommitteeRegression GeneralizedLeastSquaresModel GeneralizedLinearModel SparkGLM SparkLogisticGLM CommitteeNetwork FeedForwardNetwork GenericFFNeuralNet MetropState MetropolisHastings AbstractDualLSSVM LSSVMSparkModel MetropolisState
paramsToMap
Parameters
parse
ArffFile
parseLine
LSSVMModel
particles
PfState
partitionIndices
GroupedHaarWaveletFilter InvGroupedHaarWaveletFilter
partitionedKernelMatrixCache
AbstractGPRegressionModel ESGPModel AbstractSTPRegressionModel
pcaFeatureScaling
DynaMLPipe
pcaScaling
DynaMLPipe
performCSA
AbstractCSA
persist
DualSparkVector SparkMatrix SparkVector AbstractGPRegressionModel ESGPModel AbstractSTPRegressionModel MVStudentsTModel GloballyOptimizable
perturb
BrownianParameter EmptyParameter EmptyStepParameter GaussianParameter OrnsteinParameter Parameters ParticleMetropolis SdeParameter StateParameter StepConstantParameter mcmc
perturbIndep
BrownianParameter EmptyParameter EmptyStepParameter GaussianParameter OrnsteinParameter Parameters SdeParameter StateParameter StepConstantParameter
phi
FeatureMapCovariance GPCommitteeRegression
platanios
org
plus
InnerProductPV MatrixVectorSpace PartitionedVectorField VectorField fieldTuple2 innerProdDouble innerProdTuple2
points
KernelizedModel
policy
MixtureMachine
positives
BinaryClassificationMetrics
posterior
ApproxBayesComputation BayesJointProbabilityScheme GenericContinuousMCMC RejectionSamplingScheme
posteriorModel
ESGPPrior GaussianProcessPrior StochasticProcessPrior
posteriorModelPipe
ESGPPrior GaussianProcessPrior
posteriorRV
StochasticProcessPrior
postprocess
ModelPredictionPipe
pr
BinaryClassificationMetrics BinaryClassificationMetricsSpark
preProcess
DLSSVMPipe GLMPipe GPBasisFuncRegressionPipe GPRegressionPipe ModelPipe
precision
FilterLgcp
precisionByThreshold
BinaryClassificationMetrics BinaryClassificationMetricsSpark
predict
GenContinuousMixtureModel Model CommitteeModel AbstractGPClassification AbstractGPRegressionModel GPCommitteeRegression WarpedGPModel GenericGLM CommitteeNetwork FeedForwardNetwork NeuralNet ESGPModel AbstractSTPRegressionModel MVStudentsTModel AbstractDualLSSVM DLSSVM LSSVMSparkModel
predictBDV
LSSVMSparkModel
predictBatch
FFNeuralGraph
predictSparkVector
LSSVMSparkModel
predictionEfficiency
MultiRegressionMetrics RegressionMetrics
predictionWithErrorBars
ContinuousProcessModel GenContinuousMixtureModel AbstractGPRegressionModel WarpedGPModel ESGPModel AbstractSTPRegressionModel MVStudentsTModel
predictiveDistribution
ContinuousMixtureModel GenContinuousMixtureModel StochasticProcessModel AbstractGPRegressionModel LaplaceBinaryGPC WarpedGPModel ESGPModel AbstractSTPRegressionModel MVStudentsTModel
preds
MetricsTF
prepareData
GeneralizedLeastSquaresModel GenericGLM LogisticGLM RegularizedGLM SparkGLM SparkLogisticGLM
preprocess
ModelPredictionPipe
prettyPrint
GlobalOptimizer
previous_log_likelihood
AdaptiveHyperParameterMCMC
previous_sample
AdaptiveHyperParameterMCMC
print
BinaryClassificationMetrics BinaryClassificationMetricsSpark ClassificationMetricsTF Metrics MetricsTF MultiRegressionMetrics RegressionMetrics RegressionMetricsSpark
prior
ApproxBayesComputation JointProbabilityScheme RejectionSamplingScheme
priorDistribution
CoRegGPPrior ESGPPrior GaussianProcessPrior StochasticProcessPrior
probability
dynaml Erlang Kumaraswamy TruncatedGaussian
processDataToNeuronBuffers
BackPropagation
processTargets
GPRegression StudentTRegression
processed_g
KernelSparkModel
processed_prior
AdaptiveHyperParameterMCMC
productField
utils
propParams
ParticleMetropolisHastings
proposal
MetropolisHastings ParticleMetropolis ParticleMetropolisHastings GeneralMetropolisHastings HamiltonianMetropolis HyperParameterMCMC
proposalDraw
GeneralMetropolisHastings HamiltonianMetropolis
proposalStep
GeneralMetropolisHastings
prototype
dynaml
prototypes
KernelSparkModel
psi
Wavelet