A
InputModel Model
Accuracy
loss
Activation
activation
AndersonDarlingTest
analysis
Anova
analysis
AnovaTable
analysis
a
Chebyshev Gamma
aPsiSeries
Digamma
accept
RBinomOutputs
accepted
GibbsSampling
accuracy
ModelAssessment Accuracy
activation
network DenseLayer InputLayer Layer
add
PorterStemmer
addBias
Builder SGDTrainer
addFile
ZipArchiveOutput
addFileFrom
ZipArchiveOutput
addFiles
ZipArchiveOutput
adjust
PseudoInverse
al
RBinomParameters
allowMax
RUniform
alpha
HiddenMarkovModel HenzeZirklerTest HenzeZirklerTestResult Manova ManovaTest MardiaTest MardiaTestStatistic Beta RBeta RGamma RGammaFn OrdLeastSquares
alpha1
RGamma
alphaUnscaled
HiddenMarkovModel
analysis
probability
apply
Node Trie Choose CrossTabulate Factorial Permutation CsvReader DataSet DummyVariableBuilder Partition PreProcessor SequenceEstimation SequenceReader TextReader Which Chebyshev ContinuedFractionLentz ContinuedFractionWallis NumericIntegral BetaFn DBetaFn IncompleteBetaFn InverseBeta LogBetaFn ColMeans ColStddev Cor CosineDistance Cov MahalanobisDistance ExpErr ExpMult ExpRel Digamma Erf Erfc GammaFn GammaStarFn IncompleteGamma InvErf InvErfc InverseGamma LogFact LogGammaFn Polygamma Trigamma GaussHypergeometric LogMult PseudoInverse Kurtosis Mean Skewness StdDeviation Variance VarianceUnbiased PolyVal PolynomialExpansion HurwitzZeta ModelAssessment CanonicalDiscriminantAnalysis EigenDecomposition PrincipleComponentsAnalysis QuadraticDiscriminant SingularValueDecomposition InputModel Model Prediction Efficiency MAE MSE PeakPercentDeviation RSquared WillmotsIndex ModelBuilder ModelCrossValidator Activation Identity LeakyRelu Relu Sigmoid Softmax Tanh Sequence RandomWeightInitialisation DenseLayer InputLayer DiscreteCrossEntropy Loss MeanSquareErrorLoss SGDTrainer EvalMixing GibbsSampling SingularSpectrumAnalysis LinearScaleExecutionContext AndersonDarlingTest Anova CriticalValue HenzeZirklerTest JarqueBeraTest Manova MardiaTest ShapiroWilksTest TchebysheffInequality TestResult DiscreteBayes Beta ChiSquare Exponential FDistribution Gamma LogNormal Normal StudentT Uniform Binomial Geometric HyperGeometric NegativeBinomial Poisson TableDistribution RApproxBinom RBeta RBinom RChisq RFDistribution RGamma RGammaFn RNormal RPoisson RStudentT RUniform RUniformPos BayesLinearRegression BayesLogisticLeastSquares LeastSquares LogisticLeastSquares OrdLeastSquares LatentSemanticIndex LinePatternFilter PorterStemmer
applyAll
Manova
applyWeightChanges
SGDTrainer
approxIntegral
NumericIntegral
approximate
function
apsics_data
Digamma
ar
RBinomParameters
archive
data
attribCorrelation
SingularValueDecomposition
au
root
avgPriorEvidences
SequenceEstimation