Here is a list of all class members with links to the classes they belong to:

- t -

• TagTree() : DTree< MatType, TagType >
• TakeMean() : KLDivergence< InputDataType, OutputDataType >
• TakeRoot : LMetric< TPower, TTakeRoot >
• TakesDatasetInfo : MetaInfoExtractor< MLAlgorithm, MT, PT, WT >
• TakesNumClasses : MetaInfoExtractor< MLAlgorithm, MT, PT, WT >
• TargetNetworkSyncInterval() : TrainingConfig
• Tau() : PrimalDualSolver< SDPType > , NSModel< SortPolicy > , RAModel< SortPolicy > , RASearch< SortPolicy, MetricType, MatType, TreeType >
• 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 >
• timer : CLI
• Timers() : Timers
• tname : ParamData
• Tolerance() : SARAHType< UpdatePolicyType > , SCD< DescentPolicyType > , AdaDelta , SCD< DescentPolicyType > , SGD< UpdatePolicyType, DecayPolicyType > , AdaDelta , SGD< UpdatePolicyType, DecayPolicyType > , SGDR< UpdatePolicyType > , AdaGrad , SGDR< UpdatePolicyType > , SnapshotSGDR< UpdatePolicyType > , AdaGrad , SnapshotSGDR< UpdatePolicyType > , SMORMS3 , AdamType< UpdateRule > , SMORMS3 , SPALeRASGD< DecayPolicyType > , AdamType< UpdateRule > , SPALeRASGD< DecayPolicyType > , SVRGType< UpdatePolicyType, DecayPolicyType > , BigBatchSGD< UpdatePolicyType > , SVRGType< UpdatePolicyType, DecayPolicyType > , AdaBoost< WeakLearnerType, MatType > , BigBatchSGD< UpdatePolicyType > , AdaBoost< WeakLearnerType, MatType > , SimpleToleranceTermination< MatType > , CMAES< SelectionPolicyType > , SimpleToleranceTermination< MatType > , ValidationRMSETermination< MatType > , CMAES< SelectionPolicyType > , ValidationRMSETermination< MatType > , EMFit< InitialClusteringType, CovarianceConstraintPolicy > , CNE , EMFit< InitialClusteringType, CovarianceConstraintPolicy > , HMM< Distribution > , CNE , HMM< Distribution > , LocalCoordinateCoding , FrankWolfe< LinearConstrSolverType, UpdateRuleType > , LocalCoordinateCoding , FrankWolfe< LinearConstrSolverType, UpdateRuleType > , UpdateLineSearch , GradientDescent , IQN , KatyushaType< Proximal > , LineSearch , ParallelSGD< DecayPolicyType > , RMSProp , SA< CoolingScheduleType > , SARAHType< UpdatePolicyType >
• Torque() : Acrobat
• ToString() : Backtrace
• TotalSteps() : QLearning< EnvironmentType, NetworkType, UpdaterType, PolicyType, ReplayType >
• TPolicy() : CompleteIncrementalTermination< TerminationPolicy > , IncompleteIncrementalTermination< TerminationPolicy >
• Train() : FastMKS< KernelType, MatType, TreeType > , GMM , HMM< Distribution > , HMMRegression , BinaryNumericSplit< FitnessFunction, ObservationType > , HoeffdingCategoricalSplit< FitnessFunction > , HoeffdingNumericSplit< FitnessFunction, ObservationType > , HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType > , RangeSearch< MetricType, MatType, TreeType > , HoeffdingTreeModel , LARS , RandomForest< FitnessFunction, DimensionSelectionType, NumericSplitType, CategoricalSplitType, ElemType > , LinearRegression , LocalCoordinateCoding , LogisticRegression< MatType > , LSHSearch< SortPolicy > , NaiveBayesClassifier< ModelMatType > , NeighborSearch< SortPolicy, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType > , Perceptron< LearnPolicy, WeightInitializationPolicy, MatType > , RandomForest< FitnessFunction, DimensionSelectionType, NumericSplitType, CategoricalSplitType, ElemType > , RangeSearch< MetricType, MatType, TreeType > , RASearch< SortPolicy, MetricType, MatType, TreeType > , AsyncLearning< WorkerType, EnvironmentType, NetworkType, UpdaterType, PolicyType > , SoftmaxRegression , SparseCoding , CVBase< MLAlgorithm, MatType, PredictionsType, WeightsType > , DiscreteDistribution , GammaDistribution , FastMKS< KernelType, MatType, TreeType > , GaussianDistribution , RegressionDistribution , DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion > , RegressionDistribution , AdaBoost< WeakLearnerType, MatType > , CFType , AdaBoostModel , FFN< OutputLayerType, InitializationRuleType, CustomLayers > , RNN< OutputLayerType, InitializationRuleType, CustomLayers > , DrusillaSelect< MatType > , QDAFN< MatType > , CFType , DecisionStump< MatType > , DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion > , FastMKS< KernelType, MatType, TreeType >
• TrainingConfig() : TrainingConfig
• TrainingMean() : BatchNorm< InputDataType, OutputDataType >
• TrainingVariance() : BatchNorm< InputDataType, OutputDataType >
• TrainVisitor() : TrainVisitor , TrainVisitor< SortPolicy >
• Transform() : ColumnsToBlocks
• Transition() : HMM< Distribution >
• transition : HMM< Distribution >
• Transition() : HMM< Distribution >
• TransitionType : NStepQLearningWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType > , OneStepQLearningWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType > , OneStepSarsaWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType >
• TransposedConvolution() : TransposedConvolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >
• traversalInfo : QueueFrame< TreeType, TraversalInfoType >
• TraversalInfo() : DTBRules< MetricType, TreeType > , DualTreeKMeansRules< MetricType, TreeType > , TraversalInfo< TreeType > , DTBRules< MetricType, TreeType > , FastMKSRules< KernelType, TreeType > , NeighborSearchRules< SortPolicy, MetricType, TreeType > , RangeSearchRules< MetricType, TreeType > , RASearchRules< SortPolicy, MetricType, TreeType > , DualTreeKMeansRules< MetricType, TreeType > , RASearchRules< SortPolicy, MetricType, TreeType > , NeighborSearchRules< SortPolicy, MetricType, TreeType >
• traversalInfo : NeighborSearchRules< SortPolicy, MetricType, TreeType >
• TraversalInfo() : FastMKSRules< KernelType, TreeType >
• TraversalInfoType : FastMKSRules< KernelType, TreeType > , NeighborSearchRules< SortPolicy, MetricType, TreeType > , DTBRules< MetricType, TreeType > , DualTreeKMeansRules< MetricType, TreeType > , RangeSearchRules< MetricType, TreeType > , RASearchRules< SortPolicy, MetricType, TreeType >
• Traverse() : CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >::DualTreeTraverser< RuleType > , Octree< MetricType, StatisticType, MatType >::SingleTreeTraverser< RuleType > , GreedySingleTreeTraverser< TreeType, RuleType > , Octree< MetricType, StatisticType, MatType >::DualTreeTraverser< MetricType, StatisticType, MatType > , RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >::SingleTreeTraverser< RuleType > , SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >::SpillDualTreeTraverser< MetricType, StatisticType, MatType, HyperplaneType, SplitType > , SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >::SpillSingleTreeTraverser< MetricType, StatisticType, MatType, HyperplaneType, SplitType > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >::BreadthFirstDualTreeTraverser< RuleType > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >::DualTreeTraverser< RuleType > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >::SingleTreeTraverser< RuleType > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >::BreadthFirstDualTreeTraverser< RuleType > , CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >::SingleTreeTraverser< RuleType > , RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >::DualTreeTraverser< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• Tree : RASearch< SortPolicy, MetricType, MatType, TreeType > , NeighborSearch< SortPolicy, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType > , FastMKS< KernelType, MatType, TreeType > , RandomForest< FitnessFunction, DimensionSelectionType, NumericSplitType, CategoricalSplitType, ElemType > , DualTreeKMeans< MetricType, MatType, TreeType > , DualTreeBoruvka< MetricType, MatType, TreeType > , RangeSearch< MetricType, MatType, TreeType > , 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 : PellegMooreKMeans< MetricType, MatType > , RSModel , RAModel< SortPolicy > , NSModel< SortPolicy > , RAModel< SortPolicy > , NSModel< SortPolicy > , HoeffdingTreeModel , RSModel
• TreeTypes : NSModel< SortPolicy > , RSModel , RAModel< SortPolicy >
• TRIANGULAR_KERNEL : FastMKSModel
• TriangularKernel() : TriangularKernel
• TrueChild() : DualTreeKMeansStatistic
• TrueParent() : DualTreeKMeansStatistic
• TupleType : DeduceHyperParameterTypes< T, Args...>::ResultHolder< HPTypes > , DeduceHyperParameterTypes< PreFixedArg< T >, Args...> , DeduceHyperParameterTypes< T, Args...> , DeduceHyperParameterTypes< Args >::ResultHolder< HPTypes > , DeduceHyperParameterTypes< PreFixedArg< T >, Args...>::ResultHolder< HPTypes >
• Type : PreFixedArg< typename >
• type : MinimalCoverageSweep< SplitPolicy >::SweepCost< TreeType > , ParameterType< arma::Col< eT > > , ParameterTypeDeducer< true, T >
• Type() : HMMModel , DatasetMapper< PolicyType, InputType > , SelectMethodForm< MLAlgorithm, HasMethodForm, HMFs...>::From< Forms >
• type : ParameterType< arma::Mat< eT > > , ParameterType< T > , ParameterType< std::tuple< mlpack::data::DatasetMapper< PolicyType, std::string >, arma::Mat< eT > > > , ParameterTypeDeducer< HasSerialize, T >
• Type : TrainFormBase< PT, WT, SignatureParams > , SelectMethodForm< MLAlgorithm >::From< Forms > , PreFixedArg< T & > , DeduceHyperParameterTypes< T, Args...>::ResultHPType< ArithmeticType, true > , DeduceHyperParameterTypes< T, Args...>::ResultHPType< CollectionType, false > , DatasetMapper< PolicyType, InputType >
• type : MinimalSplitsNumberSweep< SplitPolicy >::SweepCost< typename > , ParameterType< arma::Row< eT > >