- o -

• Objective() : LocalCoordinateCoding , SparseCoding
• ObjectiveChange() : CNE
• ObjTolerance() : SparseCoding
• ObtainDistinctSamples() : RAUtil
• Octree() : Octree< MetricType, StatisticType, MatType >
• Offset() : HyperbolicTangentKernel , PolynomialKernel
• Offsets() : LSHSearch< SortPolicy >
• OivsInitialization() : OivsInitialization< ActivationFunction >
• OneStepQLearningWorker() : OneStepQLearningWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType >
• OneStepSarsaWorker() : OneStepSarsaWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType >
• operator!=() : RangeType< T >
• operator&() : RangeType< T > , HRectBound< MetricType, ElemType >
• operator&=() : HRectBound< MetricType, ElemType > , RangeType< T >
• operator()() : SetInputWidthVisitor , WeightSetVisitor , CompareCosineNode , WeightSizeVisitor , NeighborSearchRules< SortPolicy, MetricType, TreeType >::CandidateCmp , MethodFormDetector< Class, MethodForm, 0 > , MonoSearchVisitor , BiSearchVisitor< SortPolicy > , MethodFormDetector< Class, MethodForm, 1 > , BiSearchVisitor< SortPolicy > , MethodFormDetector< Class, MethodForm, 2 > , BiSearchVisitor< SortPolicy > , MethodFormDetector< Class, MethodForm, 3 > , TrainVisitor< SortPolicy > , MethodFormDetector< Class, MethodForm, 4 > , TrainVisitor< SortPolicy > , MethodFormDetector< Class, MethodForm, 5 > , TrainVisitor< SortPolicy > , SearchModeVisitor , MethodFormDetector< Class, MethodForm, 6 > , EpsilonVisitor , ReferenceSetVisitor , MethodFormDetector< Class, MethodForm, 7 > , DeleteVisitor , MonoSearchVisitor , AddVisitor< CustomLayers > , BiSearchVisitor , BackwardVisitor , BiSearchVisitor , CopyVisitor< CustomLayers > , TrainVisitor , DeleteVisitor , TrainVisitor , DeltaVisitor , ReferenceSetVisitor , DeleteVisitor , DeterministicSetVisitor , SingleModeVisitor , NaiveVisitor , ForwardVisitor , MonoSearchVisitor , BiSearchVisitor< SortPolicy > , GradientSetVisitor , BiSearchVisitor< SortPolicy > , GradientUpdateVisitor , TrainVisitor< SortPolicy > , GradientVisitor , TrainVisitor< SortPolicy > , SingleSampleLimitVisitor , GradientZeroVisitor , FirstLeafExactVisitor , SampleAtLeavesVisitor , LoadOutputParameterVisitor , AlphaVisitor , TauVisitor , OutputHeightVisitor , SingleModeVisitor , ReferenceSetVisitor , OutputParameterVisitor , DeleteVisitor , NaiveVisitor , OutputWidthVisitor , ParametersSetVisitor , ParametersVisitor , ResetCellVisitor , ResetVisitor , RewardSetVisitor , SaveOutputParameterVisitor , SetInputHeightVisitor
• operator*() : RangeType< T >
• operator*=() : RangeType< T >
• operator<() : RangeType< T >
• operator<<() : NullOutStream , PrefixedOutStream , NullOutStream
• operator=() : BallBound< MetricType, VecType > , HollowBallBound< TMetricType, ElemType > , HRectBound< MetricType, ElemType > , HilbertRTreeAuxiliaryInformation< TreeType, HilbertValueType > , NoAuxiliaryInformation< TreeType > , XTreeAuxiliaryInformation< TreeType > , XTreeAuxiliaryInformation< TreeType >::SplitHistoryStruct , AdaBoostModel , FFN< OutputLayerType, InitializationRuleType, CustomLayers > , DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion > , DTree< MatType, TagType > , FastMKS< KernelType, MatType, TreeType > , FastMKSModel , GMM , HMMModel , HoeffdingTreeModel , LSHSearch< SortPolicy > , NeighborSearch< SortPolicy, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType > , NSModel< SortPolicy > , RangeSearch< MetricType, MatType, TreeType > , RSModel , RAModel< SortPolicy >
• operator==() : RangeType< T >
• operator>() : RangeType< T >
• operator[]() : HollowBallBound< TMetricType, ElemType > , BallBound< MetricType, VecType > , HRectBound< MetricType, ElemType >
• operator|() : RangeType< T >
• operator|=() : HollowBallBound< TMetricType, ElemType > , RangeType< T > , BallBound< MetricType, VecType > , HollowBallBound< TMetricType, ElemType > , HRectBound< MetricType, ElemType >
• OptimalFromGroup() : GroupLpBall
• OptimisticAdamUpdate() : OptimisticAdamUpdate
• Optimize() : AdamType< UpdateRule > , SPALeRASGD< DecayPolicyType > , SGD< UpdatePolicyType, DecayPolicyType > , CMAES< SelectionPolicyType > , FrankWolfe< LinearConstrSolverType, UpdateRuleType > , HyperParameterTuner< MLAlgorithm, Metric, CV, OptimizerType, MatType, PredictionsType, WeightsType > , AdaDelta , AdaGrad , AugLagrangian , BigBatchSGD< UpdatePolicyType > , CNE , ConstrLpBallSolver , ConstrStructGroupSolver< GroupType > , GradientDescent , GridSearch , IQN , KatyushaType< Proximal > , L_BFGS , LineSearch , RMSProp , SA< CoolingScheduleType > , SARAHType< UpdatePolicyType > , LRSDP< SDPType > , PrimalDualSolver< SDPType > , SGDR< UpdatePolicyType > , SnapshotSGDR< UpdatePolicyType > , SMORMS3 , SVRGType< UpdatePolicyType, DecayPolicyType > , ParallelSGD< DecayPolicyType > , SCD< DescentPolicyType > , ParallelSGD< DecayPolicyType >
• OptimizeDictionary() : SparseCoding , LocalCoordinateCoding
• Optimizer() : HyperParameterTuner< MLAlgorithm, Metric, CV, OptimizerType, MatType, PredictionsType, WeightsType > , NCA< MetricType, OptimizerType >
• OrthogonalInitialization() : OrthogonalInitialization
• OuterBound() : RPlusPlusTreeAuxiliaryInformation< TreeType >
• OuterRadius() : HollowBallBound< TMetricType, ElemType >
• OutputHeight() : Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , MaxPooling< InputDataType, OutputDataType > , Glimpse< InputDataType, OutputDataType > , AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , Glimpse< InputDataType, OutputDataType > , MeanPooling< InputDataType, OutputDataType > , TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >
• OutputParameter() : TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , KLDivergence< InputDataType, OutputDataType > , MeanPooling< InputDataType, OutputDataType > , BaseLayer< ActivationFunction, InputDataType, OutputDataType > , MeanPooling< InputDataType, OutputDataType > , ELU< InputDataType, OutputDataType > , ReinforceNormal< InputDataType, OutputDataType > , Lookup< InputDataType, OutputDataType > , AddMerge< InputDataType, OutputDataType, CustomLayers > , Lookup< InputDataType, OutputDataType > , BilinearInterpolation< InputDataType, OutputDataType > , LeakyReLU< InputDataType, OutputDataType > , Sequential< InputDataType, OutputDataType, CustomLayers > , FastLSTM< InputDataType, OutputDataType > , AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , MaxPooling< InputDataType, OutputDataType > , HardTanH< InputDataType, OutputDataType > , PReLU< InputDataType, OutputDataType > , GRU< InputDataType, OutputDataType > , FlexibleReLU< InputDataType, OutputDataType > , LayerNorm< InputDataType, OutputDataType > , ConcatPerformance< OutputLayerType, InputDataType, OutputDataType > , Dropout< InputDataType, OutputDataType > , ELU< InputDataType, OutputDataType > , RecurrentAttention< InputDataType, OutputDataType > , DropConnect< InputDataType, OutputDataType > , Constant< InputDataType, OutputDataType > , MultiplyConstant< InputDataType, OutputDataType > , LSTM< InputDataType, OutputDataType > , MultiplyMerge< InputDataType, OutputDataType, CustomLayers > , NegativeLogLikelihood< InputDataType, OutputDataType > , VRClassReward< InputDataType, OutputDataType > , HardTanH< InputDataType, OutputDataType > , ReinforceNormal< InputDataType, OutputDataType > , Add< InputDataType, OutputDataType > , SigmoidCrossEntropyError< InputDataType, OutputDataType > , LogSoftMax< InputDataType, OutputDataType > , AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , MultiplyConstant< InputDataType, OutputDataType > , Sequential< InputDataType, OutputDataType, CustomLayers > , KLDivergence< InputDataType, OutputDataType > , Recurrent< InputDataType, OutputDataType, CustomLayers > , FastLSTM< InputDataType, OutputDataType > , Constant< InputDataType, OutputDataType > , Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , CrossEntropyError< InputDataType, OutputDataType > , AlphaDropout< InputDataType, OutputDataType > , Concat< InputDataType, OutputDataType, CustomLayers > , PReLU< InputDataType, OutputDataType > , AddMerge< InputDataType, OutputDataType, CustomLayers > , AlphaDropout< InputDataType, OutputDataType > , NegativeLogLikelihood< InputDataType, OutputDataType > , MultiplyMerge< InputDataType, OutputDataType, CustomLayers > , LSTM< InputDataType, OutputDataType > , ConcatPerformance< OutputLayerType, InputDataType, OutputDataType > , Select< InputDataType, OutputDataType > , DropConnect< InputDataType, OutputDataType > , LinearNoBias< InputDataType, OutputDataType > , Glimpse< InputDataType, OutputDataType > , Join< InputDataType, OutputDataType > , MeanSquaredError< InputDataType, OutputDataType > , Glimpse< InputDataType, OutputDataType > , SigmoidCrossEntropyError< InputDataType, OutputDataType > , Select< InputDataType, OutputDataType > , VRClassReward< InputDataType, OutputDataType > , Dropout< InputDataType, OutputDataType > , LinearNoBias< InputDataType, OutputDataType > , Linear< InputDataType, OutputDataType > , MeanSquaredError< InputDataType, OutputDataType > , GRU< InputDataType, OutputDataType > , Linear< InputDataType, OutputDataType > , LeakyReLU< InputDataType, OutputDataType > , TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , BaseLayer< ActivationFunction, InputDataType, OutputDataType > , BilinearInterpolation< InputDataType, OutputDataType > , CrossEntropyError< InputDataType, OutputDataType > , Recurrent< InputDataType, OutputDataType, CustomLayers > , BatchNorm< InputDataType, OutputDataType > , Add< InputDataType, OutputDataType > , Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , MaxPooling< InputDataType, OutputDataType > , LogSoftMax< InputDataType, OutputDataType > , RecurrentAttention< InputDataType, OutputDataType > , LayerNorm< InputDataType, OutputDataType > , Concat< InputDataType, OutputDataType, CustomLayers > , BatchNorm< InputDataType, OutputDataType >
• OutputWidth() : Glimpse< InputDataType, OutputDataType > , AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , Glimpse< InputDataType, OutputDataType > , Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , MeanPooling< InputDataType, OutputDataType > , MaxPooling< InputDataType, OutputDataType > , Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , AtrousConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , MeanPooling< InputDataType, OutputDataType > , MaxPooling< InputDataType, OutputDataType >
• Overlap() : SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType > , HRectBound< MetricType, ElemType >
• Owner() : DualTreeKMeansStatistic