- t -

• TagTree() : DTree< MatType, TagType >
• TakeMean() : KLDivergence< InputDataType, OutputDataType >
• TargetNeighbors() : Constraints< MetricType >
• TargetNetworkSyncInterval() : TrainingConfig
• Tau() : NSModel< SortPolicy > , RAModel< SortPolicy > , RASearch< SortPolicy, MetricType, MatType, TreeType >
• TerminationPolicy() : AMF< TerminationPolicyType, InitializationRuleType, UpdateRuleType >
• TestOption() : TestOption< N >
• Theta() : Pendulum::State
• Theta1() : Acrobot::State
• Theta2() : Acrobot::State
• Timers() : Timers
• Tolerance() : HMM< Distribution > , LocalCoordinateCoding , AdaBoost< WeakLearnerType, MatType > , SimpleToleranceTermination< MatType > , ValidationRMSETermination< MatType > , EMFit< InitialClusteringType, CovarianceConstraintPolicy, Distribution >
• Torque() : Acrobot
• ToString() : Backtrace
• TotalSteps() : QLearning< EnvironmentType, NetworkType, UpdaterType, PolicyType, ReplayType >
• TPolicy() : CompleteIncrementalTermination< TerminationPolicy > , IncompleteIncrementalTermination< TerminationPolicy >
• Train() : RNN< OutputLayerType, InitializationRuleType, CustomLayers > , DrusillaSelect< MatType > , QDAFN< MatType > , CFType< DecompositionPolicy, NormalizationType > , CFModel , DecisionStump< MatType > , DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion > , FastMKS< KernelType, MatType, TreeType > , DiagonalGMM , GMM , CVBase< MLAlgorithm, MatType, PredictionsType, WeightsType > , SparseCoding , SoftmaxRegression , HMM< Distribution > , RASearch< SortPolicy, MetricType, MatType, TreeType > , RangeSearch< MetricType, MatType, TreeType > , CVBase< MLAlgorithm, MatType, PredictionsType, WeightsType > , RandomForest< FitnessFunction, DimensionSelectionType, NumericSplitType, CategoricalSplitType, ElemType > , HMMRegression , NeighborSearch< SortPolicy, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType > , NaiveBayesClassifier< ModelMatType > , DiagonalGaussianDistribution , LSHSearch< SortPolicy > , LogisticRegression< MatType > , BinaryNumericSplit< FitnessFunction, ObservationType > , HoeffdingCategoricalSplit< FitnessFunction > , LinearSVM< MatType > , LinearRegression , DiagonalGaussianDistribution , LARS , HoeffdingNumericSplit< FitnessFunction, ObservationType > , HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType > , DiscreteDistribution , HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType > , DiscreteDistribution , HoeffdingTreeModel , KDE< KernelType, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType > , GammaDistribution , KDE< KernelType, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType > , GammaDistribution , LARS , GammaDistribution , GaussianDistribution , LocalCoordinateCoding , LogisticRegression< MatType > , GaussianDistribution , RegressionDistribution , NaiveBayesClassifier< ModelMatType > , RegressionDistribution , Perceptron< LearnPolicy, WeightInitializationPolicy, MatType > , RandomForest< FitnessFunction, DimensionSelectionType, NumericSplitType, CategoricalSplitType, ElemType > , AdaBoost< WeakLearnerType, MatType > , AdaBoostModel , RandomForest< FitnessFunction, DimensionSelectionType, NumericSplitType, CategoricalSplitType, ElemType > , BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers > , RASearch< SortPolicy, MetricType, MatType, TreeType > , AsyncLearning< WorkerType, EnvironmentType, NetworkType, UpdaterType, PolicyType > , FFN< OutputLayerType, InitializationRuleType, CustomLayers > , RBM< InitializationRuleType, DataType, PolicyType >
• TrainingConfig() : TrainingConfig
• TrainingMean() : BatchNorm< InputDataType, OutputDataType >
• TrainingVariance() : BatchNorm< InputDataType, OutputDataType >
• TrainVisitor() : TrainVisitor , TrainVisitor< SortPolicy > , TrainVisitor , TrainVisitor< SortPolicy >
• Transform() : ColumnsToBlocks
• Transition() : HMM< Distribution >
• TransposedConvolution() : TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >
• TraversalInfo() : TraversalInfo< TreeType > , KDERules< MetricType, KernelType, TreeType > , DualTreeKMeansRules< MetricType, TreeType > , DTBRules< MetricType, TreeType > , NeighborSearchRules< SortPolicy, MetricType, TreeType > , RASearchRules< SortPolicy, MetricType, TreeType > , FastMKSRules< KernelType, TreeType > , RangeSearchRules< MetricType, TreeType > , RASearchRules< SortPolicy, MetricType, TreeType > , RangeSearchRules< MetricType, TreeType > , KDERules< MetricType, KernelType, TreeType > , NeighborSearchRules< SortPolicy, MetricType, TreeType > , DTBRules< MetricType, TreeType >
• Traverse() : BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >::DualTreeTraverser< RuleType > , SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >::SpillDualTreeTraverser< MetricType, StatisticType, MatType, HyperplaneType, SplitType > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >::BreadthFirstDualTreeTraverser< RuleType > , Octree< MetricType, StatisticType, MatType >::SingleTreeTraverser< RuleType > , SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >::SpillSingleTreeTraverser< MetricType, StatisticType, MatType, HyperplaneType, SplitType > , CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >::SingleTreeTraverser< RuleType > , GreedySingleTreeTraverser< TreeType, RuleType > , RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >::DualTreeTraverser< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >::BreadthFirstDualTreeTraverser< RuleType > , Octree< MetricType, StatisticType, MatType >::DualTreeTraverser< MetricType, StatisticType, MatType > , RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >::SingleTreeTraverser< RuleType > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >::SingleTreeTraverser< RuleType > , CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >::DualTreeTraverser< 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() : NSModel< SortPolicy > , KDEModel , RAModel< SortPolicy > , RSModel , KDEModel , NSModel< SortPolicy > , RAModel< SortPolicy > , RSModel
• TriangularKernel() : TriangularKernel
• Triplets() : Constraints< MetricType >
• TrueChild() : DualTreeKMeansStatistic
• TrueParent() : DualTreeKMeansStatistic
• Type() : DatasetMapper< PolicyType, InputType > , HMMModel