 arpack_internal | Namespace that contains ARPACK routines |
  arpack_wrapper | |
  arpack_wrapper< float, float > | |
  arpack_wrapper< double, double > | |
 tapkee | |
  keywords | The namespace that contains keywords for all parameters |
   keywords_internal | The namespace that contains implementations for the keywords |
    DefaultValue | |
    ParameterKeyword | |
  tapkee_internal | Main namespace for all internal routines, should not be exposed as public API |
   CallbacksInitializedState | |
   KernelAndDistanceInitializedState | |
   KernelAndFeaturesInitializedState | |
   DistanceAndFeaturesInitializedState | |
   KernelFirstInitializedState | |
   DistanceFirstInitializedState | |
   FeaturesFirstInitializedState | |
   ParametersInitializedState | |
   ImplementationBase | |
   node | |
   ds_node | |
   d_node | |
   v_array | Class v_array taken directly from JL's implementation |
   CoverTreePoint | Class Point to use with John Langford's CoverTree. This class must have some associated functions defined (distance, and print, see below) so it can be used with the CoverTree implementation |
   distance_impl | |
   distance_impl< KernelType, RandomAccessIterator, Callback > | |
   distance_impl< DistanceType, RandomAccessIterator, Callback > | |
   distances_comparator | |
   KernelType | |
   KernelDistance | |
   DistanceType | |
   PlainDistance | |
   compare_impl | |
   DistanceComparator | |
   compare_impl< KernelType, RandomAccessIterator, DistanceCallback > | |
   compare_impl< DistanceType, RandomAccessIterator, DistanceCallback > | |
   VantagePointTree | |
    HeapItem | |
    Node | |
   Context | |
   TypePolicyBase | |
   PointerTypePolicyImpl | |
   CheckerPolicyBase | |
   PointerCheckerPolicyImpl | |
   PointerCheckerPolicyImpl< double > | |
   PointerCheckerPolicyImpl< float > | |
   PointerCheckerPolicyImpl< int > | |
   EmptyType | |
   ValueKeeper | |
   DataForErrorFunc | Data needed to compute error function |
   SparseInverseMatrixOperation | Matrix-matrix operation used to compute smallest eigenvalues and associated eigenvectors of a sparse matrix Essentially solves linear system with provided right-hand side part |
   DenseInverseMatrixOperation | Matrix-matrix operation used to compute smallest eigenvalues and associated eigenvectors of a dense matrix Essentially solves linear system with provided right-hand side part |
   DenseMatrixOperation | Matrix-matrix operation used to compute largest eigenvalues and associated eigenvectors. Essentially computes matrix product with provided right-hand side part |
   DenseImplicitSquareSymmetricMatrixOperation | Matrix-matrix operation used to compute largest eigenvalues and associated eigenvectors of X*X^T like matrix implicitly. Essentially computes matrix product with provided right-hand side part twice |
   DenseImplicitSquareMatrixOperation | Matrix-matrix operation used to compute largest eigenvalues and associated eigenvectors of X*X^T like matrix implicitly. Essentially computes matrix product with provided right-hand side part twice |
   conditional_select | |
   conditional_select< true, T > | |
   conditional_select< false, T > | |
   fibonacci_heap_node | |
   fibonacci_heap | Class fibonacci_heap, a fibonacci heap. Generally used by Isomap for Dijkstra heap algorithm |
   reservable_priority_queue | |
   timed_context | |
  dummy_features_callback | |
  dummy_kernel_callback | |
  dummy_distance_callback | |
  eigen_features_callback | |
  eigen_kernel_callback | |
  eigen_distance_callback | |
  precomputed_kernel_callback | |
  precomputed_distance_callback | |
  initialize | |
  TapkeeOutput | Return result of the library - a pair of DenseMatrix (embedding) and ProjectingFunction |
  wrong_parameter_error | An exception type that is thrown in case if wrong parameter value is passed |
  wrong_parameter_type_error | An exception type that is thrown in case if wrong parameter value is passed |
  missed_parameter_error | An exception type that is thrown in case of missed parameter, i.e. when some required parameter is not set |
  unsupported_method_error | An exception type that is thrown when unsupported method is called |
  not_enough_memory_error | An exception type that is thrown when the library can't get enough memory |
  multiple_parameter_error | An exception type that is thrown when some parameter is passed more than once |
  cancelled_exception | An exception type that is thrown when computations were cancelled |
  eigendecomposition_error | An exception type that is thrown when eigendecomposition is failed |
  Message | |
  Parameter | |
  CheckedParameter | |
  ParametersSet | |
  ProjectionImplementation | A base class for implementation of projecting |
  ProjectingFunction | A pimpl wrapper for projecting function |
  MatrixProjectionImplementation | Basic ProjectionImplementation that subtracts mean from the vector and multiplies projecting matrix with it |
  BatchCallbackTraits | |
  is_dummy | |
  MethodTraits | Traits used to obtain information about dimension reduction methods compile-time |
  LoggerImplementation | A base class for logger required by the library |
  DefaultLoggerImplementation | Default std::cout implementation of LoggerImplementation |
  LoggingSingleton | Main logging singleton used by the library. Can use provided LoggerImplementation if necessary. By default uses DefaultLoggerImplementation |
 tsne | Namespace containing implementation of t-SNE algorithm |
  Cell | |
  QuadTree | |
  TSNE | |
  DataPoint | |
  VpTree | |
   DistanceComparator | |
   HeapItem | |
   Node | |
 ArpackGeneralizedSelfAdjointEigenSolver | |
 neighbors_finder | |
 pimpl_distance_callback | |
 pimpl_kernel_callback | |