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Here is a list of all documented class members with links to the class documentation for each member:

### - n -

- n_threads() : RandomForestOptions
- ndim() : NumpyAnyArray
- nearBorderDirectionCount() : NeighborCode , NeighborCode3D
- nearBorderDirections() : NeighborCode , NeighborCode3D
- nearBorderDirectionsCausal() : NeighborCode3D
- neighbor_vertex_iterator : GridGraph< N, DirectedTag >
- NeighborCode : NeighborhoodCirculator< IMAGEITERATOR, NEIGHBORCODE > , RestrictedNeighborhoodCirculator< IMAGEITERATOR, NEIGHBORCODE >
- neighborhood() : LabelOptions , LocalMinmaxOptions
- NeighborhoodCirculator() : NeighborhoodCirculator< IMAGEITERATOR, NEIGHBORCODE >
- NeighborOffsetCirculator() : NeighborOffsetCirculator< NEIGHBORCODE >
- next_type : MultiIterator< N, T, REFERENCE, POINTER > , StridedMultiIterator< N, T, REFERENCE, POINTER >
- Nice : ParallelOptions
- nnlasso() : LeastAngleRegressionOptions
- no_features : VariableSelectionResult
- Node : AdjacencyListGraph , BinaryForest , GridGraph< N, DirectedTag >
- node_complexity_tau() : RandomForestOptions
- node_responses_ : RandomForest< FEATURES, LABELS, SPLITTESTS, ACCTYPE >
- NodeBase() : NodeBase
- NodeComplexityStop() : NodeComplexityStop
- nodeFeatureImportance() : ClusteringOptions
- nodeFeatureMetric() : ClusteringOptions
- nodeFromId() : AdjacencyListGraph , BinaryForest , GridGraph< N, DirectedTag >
- NodeIt : AdjacencyListGraph , GridGraph< N, DirectedTag >
- NodeMap() : GridGraph< N, DirectedTag >::NodeMap< T >
- nodeNum() : AdjacencyListGraph , GridGraph< N, DirectedTag >
- noise : CorrelationVisitor
- noiseEstimationQuantile() : NoiseNormalizationOptions
- NoiseNormalizationOptions() : NoiseNormalizationOptions
- noiseVarianceInitialGuess() : NoiseNormalizationOptions
- NonlinearLSQOptions() : NonlinearLSQOptions
- norm() : Kernel1D< ARITHTYPE > , Kernel2D< ARITHTYPE > , Matrix< T, ALLOC > , MultiArrayView< N, T, StrideTag >
- normal() : RandomNumberGenerator< Engine >
- normalize() : Kernel1D< ARITHTYPE > , Kernel2D< ARITHTYPE > , PolynomialView< T >
- normalizedComponentWeights() : PLSAOptions
- NormalizeStatus() : NormalizeStatus
- NormalRandomFunctor() : NormalRandomFunctor< Engine >
- NormType : FFTWComplex< Real > , Quaternion< ValueType > , RGBValue< VALUETYPE, RED_IDX, GREEN_IDX, BLUE_IDX > , TinyVectorBase< VALUETYPE, SIZE, DATA, DERIVED >
- North : NeighborCode
- north() : NeighborCode
- North : NeighborCode
- north() : NeighborCode3D
- northEast() : NeighborCode
- NorthEast : NeighborCode
- northEast() : NeighborCode3D
- NorthWest : NeighborCode
- northWest() : NeighborCode , NeighborCode3D
- NoThreads : ParallelOptions
- nSurface() : StarPolytope< N, T >
- nThreads() : ThreadPool
- num_classes() : RandomForest< FEATURES, LABELS, SPLITTESTS, ACCTYPE >
- num_edges() : GridGraph< N, DirectedTag >
- num_features() : RandomForest< FEATURES, LABELS, SPLITTESTS, ACCTYPE >
- num_nodes() : RandomForest< FEATURES, LABELS, SPLITTESTS, ACCTYPE >
- num_trees() : RandomForest< FEATURES, LABELS, SPLITTESTS, ACCTYPE >
- num_vertices() : GridGraph< N, DirectedTag >
- numArcs() : BinaryForest
- numBands() : ImageImportInfo
- numBlocks() : MultiBlocking< DIM, C >
- numChildren() : BinaryForest
- numChoices : CorrelationVisitor
- numDimensions() : HDF5ImportInfo , SIFImportInfo
- numerator() : Rational< IntType >
- numExtraBands() : ImageImportInfo
- numImages() : ImageImportInfo
- NumInstancesStop() : NumInstancesStop
- numNodes() : BinaryForest
- numParents() : BinaryForest
- NumpyAnyArray() : NumpyAnyArray
- NumpyArray() : NumpyArray< N, T, Stride >
- numRoots() : BinaryForest
- numThreads() : ParallelOptions
- nVolume() : StarPolytope< N, T >

© Ullrich Köthe (ullrich.koethe@iwr.uni-heidelberg.de) Heidelberg Collaboratory for Image Processing, University of Heidelberg, Germany | html generated using doxygen and Python vigra 1.11.1