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