Accuracy
ContingencyStats
AdaptiveGradientDescent
optimize
AffineScaling
linear
ApproxTerm
ExpectationPropagation
ApproximateGradientFunction
optimize
ApproximateInverseHessian
LBFGS
ApproximateLineSearch
optimize
accumulateAndCount
DescriptiveStats
accuracy
Accuracy
activeLength
FeatureVector
add
ConfusionMatrix
adjFval
State
adjGrad
State
adjust
L1Regularization
L2Regularization
FirstOrderMinimizer
OWLQN
adjustedGradient
State
adjustedValue
State
allContexts
EasyMaxEnt
alpha
State
OptParams
StepSizeScale
alphaMax
SPG
alphaMin
SPG
always
RandBasis
apply
Classifier
LFMatrix
LiblinearClassifier
SparseCsvDataset
LiblinearTrainer
SparseCsvDataset
SVM
FeatureVector
DotProductDVFV
DotProductFVDV
FVAddIntoDV
FVCanDaxpy
ApproxTerm
Factor
Variable
NeuralNetwork
BatchDiffFunction
BatchSize
L1Regularization
L2Regularization
MaxIterations
PreferBatch
PreferOnline
StepSizeScale
StochasticDiffFunction
StochasticGradientDescent
Tolerance
ConfusionMatrix
ContingencyStats
RandomizationTest
ContinuousDistr
Dirichlet
DiscreteDistr
MarkovChain
Measure
Polya
applyBinomialExpanded
LiblinearTrainer
applyDense
LiblinearTrainer
applyIndexed
LiblinearTrainer
approx_k
Gamma