Tapkee
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Class Hierarchy
This inheritance list is sorted roughly, but not completely, alphabetically:
[detail level 123]
oCarpack_wrapper< Scalar, RealScalar >
oCarpack_wrapper< double, double >
oCarpack_wrapper< float, float >
oCArpackGeneralizedSelfAdjointEigenSolver< LMatrixType, RMatrixType, MatrixOperation, BisSPD >
oCBatchCallbackTraits< Callback >
oCCallbacksInitializedState< KernelCallback, DistanceCallback, FeaturesCallback >
oCCell
oCCheckedParameter
oCCheckerPolicyBase
|oCPointerCheckerPolicyImpl< T >
|oCPointerCheckerPolicyImpl< double >
|oCPointerCheckerPolicyImpl< float >
|\CPointerCheckerPolicyImpl< int >
oCcompare_impl< Type, RandomAccessIterator, DistanceCallback >
oCcompare_impl< DistanceType, RandomAccessIterator, DistanceCallback >
oCcompare_impl< KernelType, RandomAccessIterator, DistanceCallback >
oCconditional_select< bool, T >
oCconditional_select< false, T >
oCconditional_select< true, T >
oCContext
oCCoverTreePoint< RandomAccessIterator >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
oCd_node< P >
oCDataForErrorFuncData needed to compute error function
oCDataPoint
oCDefaultValue
oCDenseImplicitSquareMatrixOperationMatrix-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
oCDenseImplicitSquareSymmetricMatrixOperationMatrix-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
oCDenseInverseMatrixOperationMatrix-matrix operation used to compute smallest eigenvalues and associated eigenvectors of a dense matrix Essentially solves linear system with provided right-hand side part
oCDenseMatrixOperationMatrix-matrix operation used to compute largest eigenvalues and associated eigenvectors. Essentially computes matrix product with provided right-hand side part
oCdistance_impl< Type, RandomAccessIterator, Callback >
oCdistance_impl< DistanceType, RandomAccessIterator, Callback >
oCdistance_impl< KernelType, RandomAccessIterator, Callback >
oCDistanceAndFeaturesInitializedState< DistanceCallback, FeaturesCallback >
oCVpTree< T, distance >::DistanceComparator
oCDistanceComparator< RandomAccessIterator, DistanceCallback >
oCDistanceFirstInitializedState< DistanceCallback >
oCdistances_comparator< DistanceRecord >
oCDistanceType
oCds_node< P >
oCdummy_distance_callback< Data >
oCdummy_features_callback< Data >
oCdummy_kernel_callback< Data >
oCeigen_distance_callback
oCeigen_features_callback
oCeigen_kernel_callback
oCEmptyType
oCexceptionSTL class
|oClogic_errorSTL class
|oCruntime_errorSTL class
|\Ccancelled_exceptionAn exception type that is thrown when computations were cancelled
oCFeaturesFirstInitializedState< FeaturesCallback >
oCfibonacci_heapClass fibonacci_heap, a fibonacci heap. Generally used by Isomap for Dijkstra heap algorithm
oCfibonacci_heap_node
oCVpTree< T, distance >::HeapItem
oCVantagePointTree< RandomAccessIterator, DistanceCallback >::HeapItem
oCImplementationBase< RandomAccessIterator, KernelCallback, DistanceCallback, FeaturesCallback >
oCinitialize
oCis_dummy< T >
oCKernelAndDistanceInitializedState< KernelCallback, DistanceCallback >
oCKernelAndFeaturesInitializedState< KernelCallback, FeaturesCallback >
oCKernelDistance< RandomAccessIterator, Callback >
oCKernelDistance< RandomAccessIterator, KernelCallback >
oCKernelFirstInitializedState< KernelCallback >
oCKernelType
oCLoggerImplementationA base class for logger required by the library
|\CDefaultLoggerImplementationDefault std::cout implementation of LoggerImplementation
oCLoggingSingletonMain logging singleton used by the library. Can use provided LoggerImplementation if necessary. By default uses DefaultLoggerImplementation
oCMessage
oCMethodTraits< method >Traits used to obtain information about dimension reduction methods compile-time
oCneighbors_finder< RandomAccessIterator >
oCVpTree< T, distance >::Node
oCVantagePointTree< RandomAccessIterator, DistanceCallback >::Node
oCnode< P >
oCParameter
oCParameterKeyword< T >
oCParametersInitializedState
oCParametersSet
oCpimpl_distance_callback< Implementation >
oCpimpl_kernel_callback< Implementation >
oCPlainDistance< RandomAccessIterator, Callback >
oCPlainDistance< RandomAccessIterator, DistanceCallback >
oCprecomputed_distance_callback
oCprecomputed_kernel_callback
oCpriority_queue< T >STL class
|\Creservable_priority_queue< T, Comparator >
oCProjectingFunctionA pimpl wrapper for projecting function
oCProjectionImplementationA base class for implementation of projecting
|\CMatrixProjectionImplementationBasic ProjectionImplementation that subtracts mean from the vector and multiplies projecting matrix with it
oCQuadTree
oCSparseInverseMatrixOperationMatrix-matrix operation used to compute smallest eigenvalues and associated eigenvectors of a sparse matrix Essentially solves linear system with provided right-hand side part
oCTapkeeOutputReturn result of the library - a pair of DenseMatrix (embedding) and ProjectingFunction
oCtimed_context
oCTSNE
oCTypePolicyBase
|\CPointerTypePolicyImpl< T >
oCv_array< T >Class v_array taken directly from JL's implementation
oCv_array< ScalarType >
oCValueKeeper
oCVantagePointTree< RandomAccessIterator, DistanceCallback >
\CVpTree< T, distance >