  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 | |
1.8.5 
