Here is a list of all class members with links to the classes they belong to:
- n -
- Naive() : FastMKS< KernelType, MatType, TreeType >, FastMKSModel, RAModel< SortPolicy >, RASearch< SortPolicy, MetricType, MatType, TreeType >, RangeSearch< MetricType, MatType, TreeType >, RSModel
- NaiveBayesClassifier() : NaiveBayesClassifier< ModelMatType >
- NaiveKMeans() : NaiveKMeans< MetricType, MatType >
- name : ParamData
- NCA() : NCA< MetricType, OptimizerType >
- NeedsFirstPass : IncrementPolicy, MissingPolicy
- NeedsMinimization : Accuracy, F1< AS, PositiveClass >, MSE, Precision< AS, PositiveClass >, R2Score, Recall< AS, PositiveClass >, SilhouetteScore
- NegativeLogLikelihood() : NegativeLogLikelihood< InputDataType, OutputDataType >
- negativeTorque : Acrobot::Action
- NeighborSearch() : NeighborSearch< SortPolicy, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType >
- NeighborSearchRules() : NeighborSearchRules< SortPolicy, MetricType, TreeType >
- NeighborSearchStat() : NeighborSearchStat< SortPolicy >
- NeighborSearchType : LMetricSearch< TPower >
- Network() : AsyncLearning< WorkerType, EnvironmentType, NetworkType, UpdaterType, PolicyType >, QLearning< EnvironmentType, NetworkType, UpdaterType, PolicyType, ReplayType >
- NetworkInitialization() : NetworkInitialization< InitializationRuleType, CustomLayers >
- NetworkType : BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers >, FFN< OutputLayerType, InitializationRuleType, CustomLayers >, RBM< InitializationRuleType, DataType, PolicyType >, RNN< OutputLayerType, InitializationRuleType, CustomLayers >
- NewtonTolerance() : SparseCoding
- Next() : AllDimensionSelect, MultipleRandomDimensionSelect, RandomDimensionSelect
- nextState : PrioritizedReplay< EnvironmentType >::Transition, RandomReplay< EnvironmentType >::Transition
- NguyenWidrowInitialization() : NguyenWidrowInitialization
- nm : SimpleResidueTermination
- NMFALSUpdate() : NMFALSUpdate
- NMFMultiplicativeDistanceUpdate() : NMFMultiplicativeDistanceUpdate
- NMFMultiplicativeDivergenceUpdate() : NMFMultiplicativeDivergenceUpdate
- NMS() : NMS< UseCoordinates >
- NNSTreeType : DualTreeKMeans< MetricType, MatType, TreeType >
- no : HasSerialize< T >
- No : DeduceHyperParameterTypes< T, Args... >::IsCollectionType< Type >
- NoAuxiliaryInformation() : NoAuxiliaryInformation< TreeType >
- NoiseStdDev() : Radical
- NoisyLinear() : NoisyLinear< InputDataType, OutputDataType >
- NoisyQLearning() : TrainingConfig
- NoNormalization() : NoNormalization
- NonStaticSerialize : HasSerializeFunction< T >
- NoRegularizer() : NoRegularizer
- NormalDistribution() : NormalDistribution< DataType >
- Normalization() : CFType< DecompositionPolicy, NormalizationType >
- Normalizations() : CombinedNormalization< NormalizationTypes >
- Normalize() : CombinedNormalization< NormalizationTypes >, ItemMeanNormalization, NoNormalization, OverallMeanNormalization, UserMeanNormalization, ZScoreNormalization
- Normalizer() : EpanechnikovKernel, ExampleKernel, GaussianKernel, SphericalKernel
- NormalNodeMaxNumChildren() : XTreeAuxiliaryInformation< TreeType >
- normOld : SimpleResidueTermination
- noTranspose : ParamData
- NSModel() : NSModel< SortPolicy >
- NStepQLearningWorker() : NStepQLearningWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType >
- NSteps() : PrioritizedReplay< EnvironmentType >, RandomReplay< EnvironmentType >
- NSTypeT : BiSearchVisitor< SortPolicy >, TrainVisitor< SortPolicy >
- NullifyData() : HilbertRTreeAuxiliaryInformation< TreeType, HilbertValueType >, NoAuxiliaryInformation< TreeType >, RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >, RPlusPlusTreeAuxiliaryInformation< TreeType >, XTreeAuxiliaryInformation< TreeType >
- NullOutStream() : NullOutStream
- NumBaseCases() : BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >::BreadthFirstDualTreeTraverser< RuleType >, BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >::DualTreeTraverser< RuleType >, CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >::DualTreeTraverser< RuleType >, Octree< MetricType, StatisticType, MatType >::DualTreeTraverser< MetricType, StatisticType, MatType >, RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >::DualTreeTraverser< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >, SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >::SpillDualTreeTraverser< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
- NumChildren() : DTree< MatType, TagType >, AllCategoricalSplit< FitnessFunction >, BestBinaryNumericSplit< FitnessFunction >, BinaryNumericSplit< FitnessFunction, ObservationType >, BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >, CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >, DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion >, ExampleTree< MetricType, StatisticType, MatType >, HoeffdingCategoricalSplit< FitnessFunction >, HoeffdingNumericSplit< FitnessFunction, ObservationType >, HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType >, Octree< MetricType, StatisticType, MatType >, RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >, SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
- NumClasses() : AdaBoost< WeakLearnerType, MatType >, Perceptron< LearnPolicy, WeightInitializationPolicy, MatType >, SoftmaxRegression, SoftmaxRegressionFunction, LinearSVM< MatType >, DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion >
- NumColumns() : CosineTree
- NumContainingStrings() : TfIdfEncodingPolicy
- NumDescendants() : BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >, CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >, ExampleTree< MetricType, StatisticType, MatType >, HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType >, Octree< MetricType, StatisticType, MatType >, RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >, SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
- NumDistComputations() : RASearchRules< SortPolicy, MetricType, TreeType >
- NumEffectiveSamples() : RASearchRules< SortPolicy, MetricType, TreeType >
- NumElements() : Select< InputDataType, OutputDataType >
- NumericSplit : DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion >, HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType >
- NumericSplitInfo() : NumericSplitInfo< ObservationType >
- NumFeatures() : LogisticRegressionFunction< MatType >, SoftmaxRegressionFunction
- NumFunctions() : BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers >, FFN< OutputLayerType, InitializationRuleType, CustomLayers >, GAN< Model, InitializationRuleType, Noise, PolicyType >, RBM< InitializationRuleType, DataType, PolicyType >, RNN< OutputLayerType, InitializationRuleType, CustomLayers >, LMNNFunction< MetricType >, SoftmaxErrorFunction< MetricType >, LogisticRegressionFunction< MatType >, SoftmaxRegressionFunction, BiasSVDFunction< MatType >, RegularizedSVDFunction< MatType >, SVDPlusPlusFunction< MatType >, LinearSVMFunction< MatType >
- NumHeads() : MultiheadAttention< InputDataType, OutputDataType, RegularizerType >
- NumItems() : BiasSVDFunction< MatType >, RegularizedSVDFunction< MatType >, SVDPlusPlusFunction< MatType >
- NumMappings() : DatasetMapper< PolicyType, InputType >
- NumNodes() : PathCacher, HoeffdingTreeModel
- NumPoints() : BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >, CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >, ExampleTree< MetricType, StatisticType, MatType >, Octree< MetricType, StatisticType, MatType >, RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >, SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
- NumProjections() : LSHSearch< SortPolicy, MatType >, QDAFN< MatType >
- NumPrunes() : BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >::BreadthFirstDualTreeTraverser< RuleType >, BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >::DualTreeTraverser< RuleType >, BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >::SingleTreeTraverser< RuleType >, CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >::DualTreeTraverser< RuleType >, CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >::SingleTreeTraverser< RuleType >, GreedySingleTreeTraverser< TreeType, RuleType >, Octree< MetricType, StatisticType, MatType >::DualTreeTraverser< MetricType, StatisticType, MatType >, Octree< MetricType, StatisticType, MatType >::SingleTreeTraverser< RuleType >, RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >::DualTreeTraverser< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >, RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >::SingleTreeTraverser< RuleType >, SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >::SpillDualTreeTraverser< MetricType, StatisticType, MatType, HyperplaneType, SplitType >, SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >::SpillSingleTreeTraverser< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
- NumSamplesMade() : RAQueryStat< SortPolicy >
- NumScores() : BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >::BreadthFirstDualTreeTraverser< RuleType >, BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >::DualTreeTraverser< RuleType >, CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >::DualTreeTraverser< RuleType >, Octree< MetricType, StatisticType, MatType >::DualTreeTraverser< MetricType, StatisticType, MatType >, RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >::DualTreeTraverser< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >, SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >::SpillDualTreeTraverser< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
- NumSteps() : RBM< InitializationRuleType, DataType, PolicyType >
- NumTestPoints() : ValidationRMSETermination< MatType >
- NumTrees() : RandomForest< FitnessFunction, DimensionSelectionType, NumericSplitType, CategoricalSplitType, ElemType >
- NumTrueChildren() : DualTreeKMeansStatistic
- NumUnmappings() : DatasetMapper< PolicyType, InputType >
- NumUsers() : BiasSVDFunction< MatType >, RegularizedSVDFunction< MatType >, SVDPlusPlusFunction< MatType >
- NumUsersForSimilarity() : CFType< DecompositionPolicy, NormalizationType >
- NumVisited() : BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >::BreadthFirstDualTreeTraverser< RuleType >, BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >::DualTreeTraverser< RuleType >, CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >::DualTreeTraverser< RuleType >, Octree< MetricType, StatisticType, MatType >::DualTreeTraverser< MetricType, StatisticType, MatType >, RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >::DualTreeTraverser< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >, SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >::SpillDualTreeTraverser< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
- NumVistied() : Octree< MetricType, StatisticType, MatType >::DualTreeTraverser< MetricType, StatisticType, MatType >
- NumWorkers() : TrainingConfig
- NystroemMethod() : NystroemMethod< KernelType, PointSelectionPolicy >