- o -

• Objective() : LocalCoordinateCoding , SparseCoding
• ObjTolerance() : SparseCoding
• ObtainDistinctSamples() : RAUtil
• Octree() : Octree< MetricType, StatisticType, MatType >
• Offset() : HyperbolicTangentKernel , PolynomialKernel
• Offsets() : LSHSearch< SortPolicy, MatType >
• OivsInitialization() : OivsInitialization< ActivationFunction >
• Omega() : BayesianLinearRegression
• OneStepQLearningWorker() : OneStepQLearningWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType >
• OneStepSarsaWorker() : OneStepSarsaWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType >
• operator!=() : RangeType< T >
• operator&() : RangeType< T > , HRectBound< MetricType, ElemType >
• operator&=() : RangeType< T > , HRectBound< MetricType, ElemType >
• operator()() : ForwardVisitor , BiSearchVisitor< SortPolicy > , ForwardVisitor , TrainVisitor< SortPolicy > , GradientSetVisitor , TrainVisitor< SortPolicy > , GradientSetVisitor , TrainVisitor< SortPolicy > , SearchModeVisitor , GradientUpdateVisitor , EpsilonVisitor , ReferenceSetVisitor , GradientUpdateVisitor , DeleteVisitor , MonoSearchVisitor , GradientVisitor , BiSearchVisitor , GradientVisitor , BiSearchVisitor , CharExtract , GradientZeroVisitor , TrainVisitor , GradientZeroVisitor , TrainVisitor , SplitByAnyOf , LoadOutputParameterVisitor , ReferenceSetVisitor , DeleteVisitor , LoadOutputParameterVisitor , SingleModeVisitor , NaiveVisitor , CompareCosineNode , LossVisitor , MonoSearchVisitor , BiSearchVisitor< SortPolicy > , LossVisitor , BiSearchVisitor< SortPolicy > , MethodFormDetector< Class, MethodForm, 0 > , OutputHeightVisitor , TrainVisitor< SortPolicy > , OutputHeightVisitor , TrainVisitor< SortPolicy > , SingleSampleLimitVisitor , MethodFormDetector< Class, MethodForm, 1 > , OutputParameterVisitor , FirstLeafExactVisitor , SampleAtLeavesVisitor , OutputParameterVisitor , AlphaVisitor , TauVisitor , MethodFormDetector< Class, MethodForm, 2 > , OutputWidthVisitor , SingleModeVisitor , ReferenceSetVisitor , OutputWidthVisitor , DeleteVisitor , NaiveVisitor , MethodFormDetector< Class, MethodForm, 3 > , ParametersSetVisitor , MethodFormDetector< Class, MethodForm, 4 > , ParametersVisitor , MethodFormDetector< Class, MethodForm, 5 > , ResetCellVisitor , MethodFormDetector< Class, MethodForm, 6 > , ResetVisitor , MethodFormDetector< Class, MethodForm, 7 > , RewardSetVisitor , LayerNameVisitor , RunSetVisitor , LayerNameVisitor , SaveOutputParameterVisitor , AddVisitor< CustomLayers > , SetInputHeightVisitor , AddVisitor< CustomLayers > , SetInputWidthVisitor , BackwardVisitor , WeightSetVisitor , BackwardVisitor , WeightSizeVisitor , BiasSetVisitor , DeleteVisitor , GetValueVisitor , BiasSetVisitor , PredictVisitor< NeighborSearchPolicy, InterpolationPolicy > , RecommendationVisitor< NeighborSearchPolicy, InterpolationPolicy > , CopyVisitor< CustomLayers > , DualMonoKDE , DualBiKDE , CopyVisitor< CustomLayers > , TrainVisitor , BandwidthVisitor , DeleteVisitor , RelErrorVisitor , AbsErrorVisitor , DeleteVisitor , MonteCarloVisitor , MCProbabilityVisitor , DeleteVisitor , MCSampleSizeVisitor , MCEntryCoefVisitor , DeltaVisitor , MCBreakCoefVisitor , ModeVisitor , DeltaVisitor , DeleteVisitor , NeighborSearchRules< SortPolicy, MetricType, TreeType >::CandidateCmp , DeterministicSetVisitor , MonoSearchVisitor , BiSearchVisitor< SortPolicy > , DeterministicSetVisitor , BiSearchVisitor< SortPolicy >
• operator*() : RangeType< T >
• operator*=() : RangeType< T >
• operator<() : RangeType< T >
• operator<<() : NullOutStream , PrefixedOutStream
• operator=() : NSModel< SortPolicy > , ScalingModel , RangeSearch< MetricType, MatType, TreeType > , RSModel , RAModel< SortPolicy > , DuelingDQN< OutputLayerType, InitType, CompleteNetworkType, FeatureNetworkType, AdvantageNetworkType, ValueNetworkType > , NStepQLearningWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType > , OneStepQLearningWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType > , OneStepSarsaWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType > , StringEncoding< EncodingPolicyType, DictionaryType > , StringEncodingDictionary< boost::string_view > , IPMetric< KernelType > , BallBound< MetricType, VecType > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , CosineTree , CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , HollowBallBound< TMetricType, ElemType > , HRectBound< MetricType, ElemType > , Octree< MetricType, StatisticType, MatType > , HilbertRTreeAuxiliaryInformation< TreeType, HilbertValueType > , NoAuxiliaryInformation< TreeType > , RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , XTreeAuxiliaryInformation< TreeType > , XTreeAuxiliaryInformation< TreeType >::SplitHistoryStruct , SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType > , AdaBoostModel , FFN< OutputLayerType, InitializationRuleType, CustomLayers > , Linear< InputDataType, OutputDataType, RegularizerType > , Sequential< InputDataType, OutputDataType, residual, CustomLayers > , DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion > , DTree< MatType, TagType > , FastMKS< KernelType, MatType, TreeType > , FastMKSModel , DiagonalGMM , GMM , HMMModel , HoeffdingTreeModel , KDE< KernelType, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType > , KDEModel , LARS , LSHSearch< SortPolicy, MatType > , NeighborSearch< SortPolicy, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType > , NSModel< SortPolicy >
• operator==() : RangeType< T >
• operator>() : RangeType< T >
• operator[]() : BallBound< MetricType, VecType > , HollowBallBound< TMetricType, ElemType > , HRectBound< MetricType, ElemType >
• operator|() : RangeType< T >
• operator|=() : RangeType< T > , BallBound< MetricType, VecType > , HollowBallBound< TMetricType, ElemType > , HRectBound< MetricType, ElemType > , HollowBallBound< TMetricType, ElemType >
• Optimize() : HyperParameterTuner< MLAlgorithm, Metric, CV, OptimizerType, MatType, PredictionsType, WeightsType >
• OptimizeDictionary() : LocalCoordinateCoding , SparseCoding
• Optimizer() : HyperParameterTuner< MLAlgorithm, Metric, CV, OptimizerType, MatType, PredictionsType, WeightsType > , LMNN< MetricType, OptimizerType > , NCA< MetricType, OptimizerType > , LMNN< MetricType, OptimizerType >
• OrthogonalInitialization() : OrthogonalInitialization
• OrthogonalRegularizer() : OrthogonalRegularizer
• OutColSize() : BilinearInterpolation< InputDataType, OutputDataType >
• OuterBound() : RPlusPlusTreeAuxiliaryInformation< TreeType >
• OuterRadius() : HollowBallBound< TMetricType, ElemType >
• OutputHeight() : MeanPooling< InputDataType, OutputDataType > , AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , AdaptiveMaxPooling< InputDataType, OutputDataType > , AdaptiveMeanPooling< InputDataType, OutputDataType > , AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , Glimpse< InputDataType, OutputDataType > , MaxPooling< InputDataType, OutputDataType > , MeanPooling< InputDataType, OutputDataType > , TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , AdaptiveMaxPooling< InputDataType, OutputDataType >
• OutputParameter() : MultiplyMerge< InputDataType, OutputDataType, CustomLayers > , MultiheadAttention< InputDataType, OutputDataType, RegularizerType > , L1Loss< InputDataType, OutputDataType > , LogCoshLoss< InputDataType, OutputDataType > , NoisyLinear< InputDataType, OutputDataType > , WeightNorm< InputDataType, OutputDataType, CustomLayers > , BaseLayer< ActivationFunction, InputDataType, OutputDataType > , PReLU< InputDataType, OutputDataType > , MultiplyConstant< InputDataType, OutputDataType > , MultiheadAttention< InputDataType, OutputDataType, RegularizerType > , MiniBatchDiscrimination< InputDataType, OutputDataType > , MeanPooling< InputDataType, OutputDataType > , EarthMoverDistance< InputDataType, OutputDataType > , BatchNorm< InputDataType, OutputDataType > , DiceLoss< InputDataType, OutputDataType > , Recurrent< InputDataType, OutputDataType, CustomLayers > , RBF< InputDataType, OutputDataType, Activation > , Recurrent< InputDataType, OutputDataType, CustomLayers > , ConcatPerformance< OutputLayerType, InputDataType, OutputDataType > , RecurrentAttention< InputDataType, OutputDataType > , Join< InputDataType, OutputDataType > , HingeEmbeddingLoss< InputDataType, OutputDataType > , Reparametrization< InputDataType, OutputDataType > , HuberLoss< InputDataType, OutputDataType > , CosineEmbeddingLoss< InputDataType, OutputDataType > , PositionalEncoding< InputDataType, OutputDataType > , FlexibleReLU< InputDataType, OutputDataType > , Select< InputDataType, OutputDataType > , ELU< InputDataType, OutputDataType > , Dropout< InputDataType, OutputDataType > , Softmax< InputDataType, OutputDataType > , Sequential< InputDataType, OutputDataType, residual, CustomLayers > , Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , Concatenate< InputDataType, OutputDataType > , Softmin< InputDataType, OutputDataType > , CELU< InputDataType, OutputDataType > , SpatialDropout< InputDataType, OutputDataType > , Subview< InputDataType, OutputDataType > , TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , VRClassReward< InputDataType, OutputDataType > , AlphaDropout< InputDataType, OutputDataType > , AddMerge< InputDataType, OutputDataType, CustomLayers > , CrossEntropyError< InputDataType, OutputDataType > , DiceLoss< InputDataType, OutputDataType > , KLDivergence< InputDataType, OutputDataType > , EarthMoverDistance< InputDataType, OutputDataType > , SigmoidCrossEntropyError< InputDataType, OutputDataType > , NegativeLogLikelihood< InputDataType, OutputDataType > , Softmax< InputDataType, OutputDataType > , HingeEmbeddingLoss< InputDataType, OutputDataType > , Lookup< InputDataType, OutputDataType > , MeanBiasError< InputDataType, OutputDataType > , WeightNorm< InputDataType, OutputDataType, CustomLayers > , SoftMarginLoss< InputDataType, OutputDataType > , Linear< InputDataType, OutputDataType, RegularizerType > , Linear3D< InputDataType, OutputDataType, RegularizerType > , MeanAbsolutePercentageError< InputDataType, OutputDataType > , LinearNoBias< InputDataType, OutputDataType, RegularizerType > , L1Loss< InputDataType, OutputDataType > , LogSoftMax< InputDataType, OutputDataType > , MeanAbsolutePercentageError< InputDataType, OutputDataType > , MeanSquaredError< InputDataType, OutputDataType > , MaxPooling< InputDataType, OutputDataType > , CosineEmbeddingLoss< InputDataType, OutputDataType > , MiniBatchDiscrimination< InputDataType, OutputDataType > , CrossEntropyError< InputDataType, OutputDataType > , BilinearInterpolation< InputDataType, OutputDataType > , DropConnect< InputDataType, OutputDataType > , SoftShrink< InputDataType, OutputDataType > , VirtualBatchNorm< InputDataType, OutputDataType > , Add< InputDataType, OutputDataType > , VRClassReward< InputDataType, OutputDataType > , SoftShrink< InputDataType, OutputDataType > , Subview< InputDataType, OutputDataType > , GRU< InputDataType, OutputDataType > , Glimpse< InputDataType, OutputDataType > , HardTanH< InputDataType, OutputDataType > , SpatialDropout< InputDataType, OutputDataType > , Highway< InputDataType, OutputDataType, CustomLayers > , HardShrink< InputDataType, OutputDataType > , Dropout< InputDataType, OutputDataType > , PReLU< InputDataType, OutputDataType > , LeakyReLU< InputDataType, OutputDataType > , LayerNorm< InputDataType, OutputDataType > , SoftMarginLoss< InputDataType, OutputDataType > , Linear< InputDataType, OutputDataType, RegularizerType > , ReconstructionLoss< InputDataType, OutputDataType, DistType > , LinearNoBias< InputDataType, OutputDataType, RegularizerType > , FlexibleReLU< InputDataType, OutputDataType > , KLDivergence< InputDataType, OutputDataType > , LSTM< InputDataType, OutputDataType > , MeanSquaredError< InputDataType, OutputDataType > , MeanBiasError< InputDataType, OutputDataType > , VirtualBatchNorm< InputDataType, OutputDataType > , MarginRankingLoss< InputDataType, OutputDataType > , Sequential< InputDataType, OutputDataType, residual, CustomLayers > , AdaptiveMaxPooling< InputDataType, OutputDataType > , Select< InputDataType, OutputDataType > , Add< InputDataType, OutputDataType > , MultiplyMerge< InputDataType, OutputDataType, CustomLayers > , AlphaDropout< InputDataType, OutputDataType > , Padding< InputDataType, OutputDataType > , BaseLayer< ActivationFunction, InputDataType, OutputDataType > , BatchNorm< InputDataType, OutputDataType > , LogSoftMax< InputDataType, OutputDataType > , MaxPooling< InputDataType, OutputDataType > , CELU< InputDataType, OutputDataType > , Concat< InputDataType, OutputDataType, CustomLayers > , ConcatPerformance< OutputLayerType, InputDataType, OutputDataType > , RBF< InputDataType, OutputDataType, Activation > , Constant< InputDataType, OutputDataType > , ReinforceNormal< InputDataType, OutputDataType > , DropConnect< InputDataType, OutputDataType > , ReinforceNormal< InputDataType, OutputDataType > , PositionalEncoding< InputDataType, OutputDataType > , FastLSTM< InputDataType, OutputDataType > , Constant< InputDataType, OutputDataType > , ELU< InputDataType, OutputDataType > , BilinearInterpolation< InputDataType, OutputDataType > , Concatenate< InputDataType, OutputDataType > , Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , Reparametrization< InputDataType, OutputDataType > , CReLU< InputDataType, OutputDataType > , Concat< InputDataType, OutputDataType, CustomLayers > , CReLU< InputDataType, OutputDataType > , AdaptiveMaxPooling< InputDataType, OutputDataType > , AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , FastLSTM< InputDataType, OutputDataType > , Padding< InputDataType, OutputDataType > , LSTM< InputDataType, OutputDataType > , AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , AdaptiveMeanPooling< InputDataType, OutputDataType > , MultiplyConstant< InputDataType, OutputDataType > , AdaptiveMeanPooling< InputDataType, OutputDataType > , SigmoidCrossEntropyError< InputDataType, OutputDataType > , LogCoshLoss< InputDataType, OutputDataType > , MeanPooling< InputDataType, OutputDataType > , MarginRankingLoss< InputDataType, OutputDataType > , GRU< InputDataType, OutputDataType > , HardTanH< InputDataType, OutputDataType > , Highway< InputDataType, OutputDataType, CustomLayers > , PoissonNLLLoss< InputDataType, OutputDataType > , LeakyReLU< InputDataType, OutputDataType > , MeanSquaredLogarithmicError< InputDataType, OutputDataType > , ReconstructionLoss< InputDataType, OutputDataType, DistType > , HuberLoss< InputDataType, OutputDataType > , Lookup< InputDataType, OutputDataType > , MeanSquaredLogarithmicError< InputDataType, OutputDataType > , NegativeLogLikelihood< InputDataType, OutputDataType > , PoissonNLLLoss< InputDataType, OutputDataType > , Linear3D< InputDataType, OutputDataType, RegularizerType > , LayerNorm< InputDataType, OutputDataType > , HardShrink< InputDataType, OutputDataType > , Join< InputDataType, OutputDataType > , Glimpse< InputDataType, OutputDataType >
• OutputSize() : Reparametrization< InputDataType, OutputDataType > , Add< InputDataType, OutputDataType > , TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , AdaptiveMeanPooling< InputDataType, OutputDataType > , Reparametrization< InputDataType, OutputDataType > , RBF< InputDataType, OutputDataType, Activation > , LinearNoBias< InputDataType, OutputDataType, RegularizerType > , AdaptiveMaxPooling< InputDataType, OutputDataType > , Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , NoisyLinear< InputDataType, OutputDataType > , MeanPooling< InputDataType, OutputDataType > , MaxPooling< InputDataType, OutputDataType > , Linear< InputDataType, OutputDataType, RegularizerType > , Linear3D< InputDataType, OutputDataType, RegularizerType >
• OutputWidth() : MeanPooling< InputDataType, OutputDataType > , Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , AdaptiveMeanPooling< InputDataType, OutputDataType > , TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , MaxPooling< InputDataType, OutputDataType > , AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , Glimpse< InputDataType, OutputDataType > , Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , Glimpse< InputDataType, OutputDataType > , MaxPooling< InputDataType, OutputDataType > , MeanPooling< InputDataType, OutputDataType > , AdaptiveMaxPooling< InputDataType, OutputDataType >
• OutRowSize() : BilinearInterpolation< InputDataType, OutputDataType >
• OutSize() : GRU< InputDataType, OutputDataType > , RecurrentAttention< InputDataType, OutputDataType > , LSTM< InputDataType, OutputDataType > , Constant< InputDataType, OutputDataType > , FastLSTM< InputDataType, OutputDataType >
• Overall() : SilhouetteScore
• OverallMeanNormalization() : OverallMeanNormalization
• Overlap() : HRectBound< MetricType, ElemType > , SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
• Owner() : DualTreeKMeansStatistic
• OwnsReferenceTree() : KDE< KernelType, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType >