mlpack: a scalable c++ machine learning library
mlpack  2.0.2
Class Index
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  a  
archive_input_unordered_map (boost::serialization::stl)   
archive_input_unordered_multimap (boost::serialization::stl)   
AdaBoost (mlpack::adaboost)   
AMF (mlpack::amf)   
AverageInitialization (mlpack::amf)   
AllowEmptyClusters (mlpack::kmeans)   
AdaDelta (mlpack::optimization)   
Adam (mlpack::optimization)   
AugLagrangian (mlpack::optimization)   
AugLagrangianFunction (mlpack::optimization)   
AugLagrangianTestFunction (mlpack::optimization)   
  b  
Backtrace (mlpack)   
BallBound (mlpack::bound)   
BoundTraits (mlpack::bound)   
BoundTraits< BallBound< MetricType, VecType > > (mlpack::bound)   
BoundTraits< HRectBound< MetricType, ElemType > > (mlpack::bound)   
BinaryNumericSplit (mlpack::tree)   
BinaryNumericSplitInfo (mlpack::tree)   
BinarySpaceTree (mlpack::tree)   
BinarySpaceTree::BreadthFirstDualTreeTraverser (mlpack::tree)   
  c  
CompleteIncrementalTermination (mlpack::amf)   
CF (mlpack::cf)   
CLI (mlpack)   
HasSerialize::check (mlpack::data)   
CosineDistance (mlpack::kernel)   
ColumnsToBlocks (mlpack::math)   
CategoricalSplitInfo (mlpack::tree)   
CompareCosineNode (mlpack::tree)   
CosineTree (mlpack::tree)   
CoverTree (mlpack::tree)   
CLIDeleter (mlpack::util)   
  d  
DummyClass (mlpack::cf)   
DatasetInfo (mlpack::data)   
DecisionStump (mlpack::decision_stump)   
DTree (mlpack::det)   
DiscreteDistribution (mlpack::distribution)   
DTBRules (mlpack::emst)   
DTBStat (mlpack::emst)   
DualTreeBoruvka (mlpack::emst)   
DiagonalConstraint (mlpack::gmm)   
DualTreeKMeans (mlpack::kmeans)   
DualTreeKMeansRules (mlpack::kmeans)   
DualTreeKMeansStatistic (mlpack::kmeans)   
DataDependentRandomInitializer (mlpack::sparse_coding)   
BinarySpaceTree::DualTreeTraverser (mlpack::tree)   
CoverTree::DualTreeTraverser (mlpack::tree)   
CoverTree::DualTreeTraverser::DualCoverTreeMapEntry (mlpack::tree)   
RectangleTree::DualTreeTraverser (mlpack::tree)   
  e  
EdgePair (mlpack::emst)   
EigenvalueRatioConstraint (mlpack::gmm)   
EMFit (mlpack::gmm)   
EpanechnikovKernel (mlpack::kernel)   
ExampleKernel (mlpack::kernel)   
ElkanKMeans (mlpack::kmeans)   
ExponentialSchedule (mlpack::optimization)   
EmptyStatistic (mlpack::tree)   
ExampleTree (mlpack::tree)   
  f  
Backtrace::Frames (mlpack)   
FactorizerTraits (mlpack::cf)   
FactorizerTraits< mlpack::svd::RegularizedSVD<> > (mlpack::cf)   
FirstArrayShim (mlpack::data)   
FirstNormalArrayShim (mlpack::data)   
FirstShim (mlpack::data)   
FastMKS (mlpack::fastmks)   
FastMKSModel (mlpack::fastmks)   
FastMKSRules (mlpack::fastmks)   
FastMKSStat (mlpack::fastmks)   
FurthestNeighborSort (mlpack::neighbor)   
FirstPointIsRoot (mlpack::tree)   
  g  
GaussianDistribution (mlpack::distribution)   
GMM (mlpack::gmm)   
GaussianKernel (mlpack::kernel)   
GockenbachFunction (mlpack::optimization)   
GeneralizedRosenbrockFunction (mlpack::optimization::test)   
GiniImpurity (mlpack::tree)   
  h  
HRectBound (mlpack::bound)   
HasSerialize (mlpack::data)   
HasSerializeFunction (mlpack::data)   
HMM (mlpack::hmm)   
HMMRegression (mlpack::hmm)   
HyperbolicTangentKernel (mlpack::kernel)   
HamerlyKMeans (mlpack::kmeans)   
HoeffdingCategoricalSplit (mlpack::tree)   
HoeffdingNumericSplit (mlpack::tree)   
HoeffdingTree (mlpack::tree)   
  i  
IsVector   
IsVector< arma::Col< eT > >   
IsVector< arma::Row< eT > >   
IsVector< arma::SpCol< eT > >   
IsVector< arma::SpRow< eT > >   
IsVector< arma::SpSubview< eT > >   
IsVector< arma::subview_col< eT > >   
IsVector< arma::subview_row< eT > >   
IncompleteIncrementalTermination (mlpack::amf)   
IsLMetric (mlpack::bound::meta)   
IsLMetric< metric::LMetric< Power, TakeRoot > > (mlpack::bound::meta)   
IPMetric (mlpack::metric)   
InformationGain (mlpack::tree)   
  k  
KernelTraits (mlpack::kernel)   
KernelTraits< CosineDistance > (mlpack::kernel)   
KernelTraits< EpanechnikovKernel > (mlpack::kernel)   
KernelTraits< GaussianKernel > (mlpack::kernel)   
KernelTraits< LaplacianKernel > (mlpack::kernel)   
KernelTraits< SphericalKernel > (mlpack::kernel)   
KernelTraits< TriangularKernel > (mlpack::kernel)   
KMeansSelection (mlpack::kernel)   
KillEmptyClusters (mlpack::kmeans)   
KMeans (mlpack::kmeans)   
KernelPCA (mlpack::kpca)   
  l  
LaplaceDistribution (mlpack::distribution)   
LaplacianKernel (mlpack::kernel)   
LinearKernel (mlpack::kernel)   
LocalCoordinateCoding (mlpack::lcc)   
Log (mlpack)   
LMetric (mlpack::metric)   
LSHSearch (mlpack::neighbor)   
L_BFGS (mlpack::optimization)   
LovaszThetaSDP (mlpack::optimization)   
LRSDP (mlpack::optimization)   
LRSDPFunction (mlpack::optimization)   
LARS (mlpack::regression)   
LinearRegression (mlpack::regression)   
LogisticRegression (mlpack::regression)   
LogisticRegressionFunction (mlpack::regression)   
  m  
MaxIterationTermination (mlpack::amf)   
MaxVarianceNewCluster (mlpack::kmeans)   
MatrixCompletion (mlpack::matrix_completion)   
MeanShift (mlpack::meanshift)   
MahalanobisDistance (mlpack::metric)   
MiniBatchSGD (mlpack::optimization)   
MeanSplit (mlpack::tree)   
MidpointSplit (mlpack::tree)   
  n  
NMFALSUpdate (mlpack::amf)   
NMFMultiplicativeDistanceUpdate (mlpack::amf)   
NMFMultiplicativeDivergenceUpdate (mlpack::amf)   
NoConstraint (mlpack::gmm)   
NystroemMethod (mlpack::kernel)   
NaiveKMeans (mlpack::kmeans)   
NaiveKernelRule (mlpack::kpca)   
NystroemKernelRule (mlpack::kpca)   
NaiveBayesClassifier (mlpack::naive_bayes)   
NCA (mlpack::nca)   
NearestNeighborSort (mlpack::neighbor)   
NeighborSearch (mlpack::neighbor)   
NeighborSearchRules (mlpack::neighbor)   
NeighborSearchStat (mlpack::neighbor)   
NSModel (mlpack::neighbor)   
NSModelName (mlpack::neighbor)   
NSModelName< FurthestNeighborSort > (mlpack::neighbor)   
NSModelName< NearestNeighborSort > (mlpack::neighbor)   
NothingInitializer (mlpack::sparse_coding)   
NumericSplitInfo (mlpack::tree)   
RectangleTree::DualTreeTraverser::NodeAndScore (mlpack::tree)   
RectangleTree::SingleTreeTraverser::NodeAndScore (mlpack::tree)   
NullOutStream (mlpack::util)   
  o  
OrderedSelection (mlpack::kernel)   
Option (mlpack::util)   
  p  
PointerShim (mlpack::data)   
PositiveDefiniteConstraint (mlpack::gmm)   
PolynomialKernel (mlpack::kernel)   
PSpectrumStringKernel (mlpack::kernel)   
PellegMooreKMeans (mlpack::kmeans)   
PellegMooreKMeansRules (mlpack::kmeans)   
PellegMooreKMeansStatistic (mlpack::kmeans)   
PrimalDualSolver (mlpack::optimization)   
ParamData (mlpack)   
PCA (mlpack::pca)   
Perceptron (mlpack::perceptron)   
PrefixedOutStream (mlpack::util)   
ProgramDoc (mlpack::util)   
  q  
QUIC_SVD (mlpack::svd)   
QueueFrame (mlpack::tree)   
  r  
RandomAcolInitialization (mlpack::amf)   
RandomInitialization (mlpack::amf)   
RegressionDistribution (mlpack::distribution)   
RandomSelection (mlpack::kernel)   
RandomPartition (mlpack::kmeans)   
RefinedStart (mlpack::kmeans)   
RangeType (mlpack::math)   
RAModel (mlpack::neighbor)   
RAQueryStat (mlpack::neighbor)   
RASearch (mlpack::neighbor)   
RASearchRules (mlpack::neighbor)   
RAUtil (mlpack::neighbor)   
RMSprop (mlpack::optimization)   
RosenbrockFunction (mlpack::optimization::test)   
RosenbrockWoodFunction (mlpack::optimization::test)   
RandomInitialization (mlpack::perceptron)   
Radical (mlpack::radical)   
RangeSearch (mlpack::range)   
RangeSearchRules (mlpack::range)   
RangeSearchStat (mlpack::range)   
RSModel (mlpack::range)   
RandomInitializer (mlpack::sparse_coding)   
RegularizedSVD (mlpack::svd)   
RegularizedSVDFunction (mlpack::svd)   
RectangleTree (mlpack::tree)   
RStarTreeDescentHeuristic (mlpack::tree)   
RStarTreeSplit (mlpack::tree)   
RTreeDescentHeuristic (mlpack::tree)   
RTreeSplit (mlpack::tree)   
  s  
SimpleResidueTermination (mlpack::amf)   
SimpleToleranceTermination (mlpack::amf)   
SVDBatchLearning (mlpack::amf)   
SVDCompleteIncrementalLearning (mlpack::amf)   
SVDCompleteIncrementalLearning< arma::sp_mat > (mlpack::amf)   
SVDIncompleteIncrementalLearning (mlpack::amf)   
SVDWrapper (mlpack::cf)   
SecondArrayShim (mlpack::data)   
SecondNormalArrayShim (mlpack::data)   
SecondShim (mlpack::data)   
DualTreeBoruvka::SortEdgesHelper (mlpack::emst)   
SphericalKernel (mlpack::kernel)   
SampleInitialization (mlpack::kmeans)   
SoftmaxErrorFunction (mlpack::nca)   
SparseAutoencoder (mlpack::nn)   
SparseAutoencoderFunction (mlpack::nn)   
SA (mlpack::optimization)   
SDP (mlpack::optimization)   
SGD (mlpack::optimization)   
SGDTestFunction (mlpack::optimization::test)   
SimpleWeightUpdate (mlpack::perceptron)   
SoftmaxRegression (mlpack::regression)   
SoftmaxRegressionFunction (mlpack::regression)   
SparseCoding (mlpack::sparse_coding)   
BinarySpaceTree::SingleTreeTraverser (mlpack::tree)   
CoverTree::SingleTreeTraverser (mlpack::tree)   
RectangleTree::SingleTreeTraverser (mlpack::tree)   
RStarTreeSplit::SortStruct (mlpack::tree)   
XTreeSplit::sortStruct (mlpack::tree)   
XTreeSplit::SplitHistoryStruct (mlpack::tree)   
  t  
TriangularKernel (mlpack::kernel)   
Timer (mlpack)   
Timers (mlpack)   
TraversalInfo (mlpack::tree)   
TreeTraits (mlpack::tree)   
TreeTraits< BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > > (mlpack::tree)   
TreeTraits< CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > > (mlpack::tree)   
TreeTraits< RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType > > (mlpack::tree)   
  u  
UnionFind (mlpack::emst)   
  v  
ValidationRMSETermination (mlpack::amf)   
  w  
WoodFunction (mlpack::optimization::test)   
  x  
XTreeSplit (mlpack::tree)   
  z  
ZeroInitialization (mlpack::perceptron)   
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