- t -

• TagTree() : DTree< MatType, TagType >
• TakeMean() : KLDivergence< InputDataType, OutputDataType >
• TargetNetworkSyncInterval() : TrainingConfig
• Tau() : NSModel< SortPolicy > , RAModel< SortPolicy > , RASearch< SortPolicy, MetricType, MatType, TreeType > , PrimalDualSolver< SDPType > , RASearch< SortPolicy, MetricType, MatType, TreeType > , NSModel< SortPolicy >
• Temperature() : SA< CoolingScheduleType >
• TerminationPolicy() : AMF< TerminationPolicyType, InitializationRuleType, UpdateRuleType >
• TestFuncFW() : TestFuncFW
• TestOption() : TestOption< N >
• Theta() : Pendulum::State
• Theta1() : Acrobat::State
• Theta2() : Acrobat::State
• ThreadShareSize() : ParallelSGD< DecayPolicyType >
• Timers() : Timers
• Tolerance() : AdamType< UpdateRule > , SGDR< UpdatePolicyType > , AdamType< UpdateRule > , SnapshotSGDR< UpdatePolicyType > , BigBatchSGD< UpdatePolicyType > , SMORMS3 , BigBatchSGD< UpdatePolicyType > , SPALeRASGD< DecayPolicyType > , CMAES< SelectionPolicyType > , SVRGType< UpdatePolicyType, DecayPolicyType > , CMAES< SelectionPolicyType > , AdaBoost< WeakLearnerType, MatType > , CNE , SimpleToleranceTermination< MatType > , CNE , ValidationRMSETermination< MatType > , FrankWolfe< LinearConstrSolverType, UpdateRuleType > , EMFit< InitialClusteringType, CovarianceConstraintPolicy > , FrankWolfe< LinearConstrSolverType, UpdateRuleType > , HMM< Distribution > , UpdateLineSearch , LocalCoordinateCoding , UpdateLineSearch , GradientDescent , IQN , KatyushaType< Proximal > , LineSearch , ParallelSGD< DecayPolicyType > , RMSProp , AdaDelta , SA< CoolingScheduleType > , AdaDelta , SARAHType< UpdatePolicyType > , AdaGrad , SCD< DescentPolicyType > , AdaGrad , SGD< UpdatePolicyType, DecayPolicyType >
• Torque() : Acrobat
• ToString() : Backtrace
• TotalSteps() : QLearning< EnvironmentType, NetworkType, UpdaterType, PolicyType, ReplayType >
• TPolicy() : CompleteIncrementalTermination< TerminationPolicy > , IncompleteIncrementalTermination< TerminationPolicy >
• Train() : HMM< Distribution > , HMMRegression , FastMKS< KernelType, MatType, TreeType > , BinaryNumericSplit< FitnessFunction, ObservationType > , HoeffdingCategoricalSplit< FitnessFunction > , HoeffdingNumericSplit< FitnessFunction, ObservationType > , DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion > , HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType > , HoeffdingTreeModel , DecisionStump< MatType > , LARS , LinearRegression , DrusillaSelect< MatType > , RNN< OutputLayerType, InitializationRuleType, CustomLayers > , LocalCoordinateCoding , LogisticRegression< MatType > , FFN< OutputLayerType, InitializationRuleType, CustomLayers > , LSHSearch< SortPolicy > , NaiveBayesClassifier< ModelMatType > , RegressionDistribution , NeighborSearch< SortPolicy, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType > , Perceptron< LearnPolicy, WeightInitializationPolicy, MatType > , RandomForest< FitnessFunction, DimensionSelectionType, NumericSplitType, CategoricalSplitType, ElemType > , RangeSearch< MetricType, MatType, TreeType > , DiscreteDistribution , RASearch< SortPolicy, MetricType, MatType, TreeType > , AsyncLearning< WorkerType, EnvironmentType, NetworkType, UpdaterType, PolicyType > , RangeSearch< MetricType, MatType, TreeType > , SparseCoding , CVBase< MLAlgorithm, MatType, PredictionsType, WeightsType > , SoftmaxRegression , CVBase< MLAlgorithm, MatType, PredictionsType, WeightsType > , HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType > , DiscreteDistribution , GammaDistribution , GaussianDistribution , RegressionDistribution , AdaBoost< WeakLearnerType, MatType > , AdaBoostModel , FFN< OutputLayerType, InitializationRuleType, CustomLayers > , RNN< OutputLayerType, InitializationRuleType, CustomLayers > , RandomForest< FitnessFunction, DimensionSelectionType, NumericSplitType, CategoricalSplitType, ElemType > , LogisticRegression< MatType > , QDAFN< MatType > , CFType , DecisionStump< MatType > , DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion > , FastMKS< KernelType, MatType, TreeType > , GMM , LinearRegression
• TrainingConfig() : TrainingConfig
• TrainingMean() : BatchNorm< InputDataType, OutputDataType >
• TrainingVariance() : BatchNorm< InputDataType, OutputDataType >
• TrainVisitor() : TrainVisitor< SortPolicy > , TrainVisitor
• Transform() : ColumnsToBlocks
• Transition() : HMM< Distribution >
• TransposedConvolution() : TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >
• TraversalInfo() : DTBRules< MetricType, TreeType > , RangeSearchRules< MetricType, TreeType > , NeighborSearchRules< SortPolicy, MetricType, TreeType > , DualTreeKMeansRules< MetricType, TreeType > , FastMKSRules< KernelType, TreeType > , NeighborSearchRules< SortPolicy, MetricType, TreeType > , RASearchRules< SortPolicy, MetricType, TreeType > , DTBRules< MetricType, TreeType > , TraversalInfo< TreeType > , FastMKSRules< KernelType, TreeType > , RangeSearchRules< MetricType, TreeType > , DualTreeKMeansRules< MetricType, TreeType > , RASearchRules< SortPolicy, MetricType, TreeType >
• Traverse() : RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >::DualTreeTraverser< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >::DualTreeTraverser< RuleType > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >::BreadthFirstDualTreeTraverser< RuleType > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >::DualTreeTraverser< RuleType > , SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >::SpillDualTreeTraverser< MetricType, StatisticType, MatType, HyperplaneType, SplitType > , Octree< MetricType, StatisticType, MatType >::DualTreeTraverser< MetricType, StatisticType, MatType > , CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >::SingleTreeTraverser< RuleType > , Octree< MetricType, StatisticType, MatType >::SingleTreeTraverser< RuleType > , GreedySingleTreeTraverser< TreeType, RuleType > , SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >::SpillSingleTreeTraverser< MetricType, StatisticType, MatType, HyperplaneType, SplitType > , RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >::SingleTreeTraverser< RuleType > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >::BreadthFirstDualTreeTraverser< RuleType > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >::SingleTreeTraverser< RuleType >
• Tree() : RandomForest< FitnessFunction, DimensionSelectionType, NumericSplitType, CategoricalSplitType, ElemType >
• TreeDepth() : RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• TreeName() : NSModel< SortPolicy > , RAModel< SortPolicy >
• TreeSize() : RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• TreeType() : RAModel< SortPolicy > , RSModel , NSModel< SortPolicy > , RSModel , RAModel< SortPolicy >
• TriangularKernel() : TriangularKernel
• TrueChild() : DualTreeKMeansStatistic
• TrueParent() : DualTreeKMeansStatistic
• Type() : HMMModel , DatasetMapper< PolicyType, InputType >