- c -

• CalculateBound() : NeighborSearchRules< SortPolicy, MetricType, TreeType >
• CalculateCentroid() : CosineTree
• CalculateCosines() : CosineTree
• CalculateDirection() : AllCategoricalSplit< FitnessFunction > , CategoricalSplitInfo , HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType > , BestBinaryNumericSplit< FitnessFunction > , NumericSplitInfo< ObservationType > , DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion > , BinaryNumericSplitInfo< ObservationType >
• CandidateIndices() : DrusillaSelect< MatType >
• CandidateSet() : QDAFN< MatType > , DrusillaSelect< MatType > , QDAFN< MatType >
• CartPole() : CartPole
• CategoricalDQN() : CategoricalDQN< OutputLayerType, InitType, NetworkType >
• CategoricalSplitInfo() : CategoricalSplitInfo
• CauchyKernel() : CauchyKernel
• CELU() : CELU< InputDataType, OutputDataType >
• Center() : HRectBound< MetricType, ElemType > , Octree< MetricType, StatisticType, MatType > , RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType > , BallBound< MetricType, VecType > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , HollowBallBound< TMetricType, ElemType >
• CenterTransformedData() : KernelPCA< KernelType, KernelRule >
• Centroid() : CosineTree , ExampleTree< MetricType, StatisticType, MatType > , DualTreeKMeansStatistic , PellegMooreKMeansStatistic
• CFModel() : CFModel
• CFPtr() : CFModel
• CFType() : CFType< DecompositionPolicy, NormalizationType >
• Channels() : ImageInfo
• Check() : DeduceHyperParameterTypes< T, Args...>::IsCollectionType< Type >
• CheckInterval() : HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType >
• CheckLeafSweep() : MinimalCoverageSweep< SplitPolicy >
• CheckNonLeafSweep() : MinimalCoverageSweep< SplitPolicy >
• Child() : RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType > , DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion > , DTree< MatType, TagType > , HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , ExampleTree< MetricType, StatisticType, MatType > , Octree< MetricType, StatisticType, MatType > , RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• ChildPtr() : BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , Octree< MetricType, StatisticType, MatType > , SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType > , DTree< MatType, TagType >
• Children() : CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , HilbertRTreeAuxiliaryInformation< TreeType, HilbertValueType >
• chk() : HasSerialize< T >
• ChooseDescentNode() : HilbertRTreeDescentHeuristic , RPlusPlusTreeDescentHeuristic , RPlusTreeDescentHeuristic , RStarTreeDescentHeuristic , RTreeDescentHeuristic
• ChooseRoot() : FirstPointIsRoot
• Classify() : SoftmaxRegression , AdaBoost< WeakLearnerType, MatType > , AdaBoostModel , DecisionStump< MatType > , DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion > , DiagonalGMM , GMM , HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType > , HoeffdingTreeModel , LinearSVM< MatType > , LogisticRegression< MatType > , NaiveBayesClassifier< ModelMatType > , Perceptron< LearnPolicy, WeightInitializationPolicy, MatType > , RandomForest< FitnessFunction, DimensionSelectionType, NumericSplitType, CategoricalSplitType, ElemType > , SoftmaxRegression
• CleanData() : CFType< DecompositionPolicy, NormalizationType > , SVDPlusPlus< OptimizerType >
• CleanedData() : CFType< DecompositionPolicy, NormalizationType >
• Clear() : StringEncoding< EncodingPolicyType, DictionaryType > , StringEncodingDictionary< Token > , StringEncodingDictionary< boost::string_view > , StringEncodingDictionary< int > , HRectBound< MetricType, ElemType >
• ClearSettings() : IO
• CLIOption() : CLIOption< N >
• Cluster() : KMeans< MetricType, InitialPartitionPolicy, EmptyClusterPolicy, LloydStepType, MatType > , DBSCAN< RangeSearchType, PointSelectionPolicy > , KMeans< MetricType, InitialPartitionPolicy, EmptyClusterPolicy, LloydStepType, MatType > , RandomPartition , RefinedStart , SampleInitialization , MeanShift< UseKernel, KernelType, MatType >
• Clusterer() : EMFit< InitialClusteringType, CovarianceConstraintPolicy, Distribution >
• Cols() : ColumnsToBlocks
• ColumnSampleLS() : CosineTree
• ColumnSamplesLS() : CosineTree
• ColumnsToBlocks() : ColumnsToBlocks
• CombineBest() : FurthestNS , NearestNS
• CombinedNormalization() : CombinedNormalization< NormalizationTypes >
• CombineWorst() : FurthestNS , NearestNS
• CompleteIncrementalTermination() : CompleteIncrementalTermination< TerminationPolicy >
• Component() : DiagonalGMM , GMM
• ComponentMembership() : DTBStat
• ComputeAccuracy() : LinearSVM< MatType > , LogisticRegression< MatType > , SoftmaxRegression
• ComputeError() : LARS , LinearRegression , LogisticRegression< MatType >
• ComputeMST() : DualTreeBoruvka< MetricType, MatType, TreeType >
• ComputeRecall() : LSHSearch< SortPolicy, MatType >
• ComputeValue() : DTree< MatType, TagType >
• ComputeVariableImportance() : DTree< MatType, TagType >
• Concat() : Concat< InputDataType, OutputDataType, CustomLayers > , Concatenate< InputDataType, OutputDataType >
• ConcatAxis() : Concat< InputDataType, OutputDataType, CustomLayers >
• Concatenate() : Concatenate< InputDataType, OutputDataType >
• ConcatPerformance() : ConcatPerformance< OutputLayerType, InputDataType, OutputDataType >
• CondenseTree() : RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• Config() : AsyncLearning< WorkerType, EnvironmentType, NetworkType, UpdaterType, PolicyType >
• Constant() : Constant< InputDataType, OutputDataType >
• ConstInitialization() : ConstInitialization
• Constraint() : EMFit< InitialClusteringType, CovarianceConstraintPolicy, Distribution >
• Constraints() : Constraints< MetricType >
• ConstructBasis() : CosineTree
• Contains() : HollowBallBound< TMetricType, ElemType > , HRectBound< MetricType, ElemType > , BallBound< MetricType, VecType > , HollowBallBound< TMetricType, ElemType > , RangeType< T > , HRectBound< MetricType, ElemType > , RangeType< T >
• ContinuousDoublePoleCart() : ContinuousDoublePoleCart
• ContinuousMountainCar() : ContinuousMountainCar
• ConvertToDistance() : NearestNS , FurthestNS
• ConvertToScore() : NearestNS , FurthestNS
• Convolution() : SVDConvolution< BorderMode > , NaiveConvolution< BorderMode > , SVDConvolution< BorderMode > , FFTConvolution< BorderMode, padLastDim > , NaiveConvolution< BorderMode > , SVDConvolution< BorderMode > , Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , NaiveConvolution< BorderMode > , Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > , NaiveConvolution< BorderMode > , FFTConvolution< BorderMode, padLastDim >
• ConvolutionIntegral() : EpanechnikovKernel , SphericalKernel , GaussianKernel , ExampleKernel
• CopyAndPerturb() : Radical
• CopyTask() : CopyTask
• CosineEmbeddingLoss() : CosineEmbeddingLoss< InputDataType, OutputDataType >
• CosineNodeSplit() : CosineTree
• CosineSearch() : CosineSearch
• CosineTree() : CosineTree
• Count() : BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >
• Counts() : PSpectrumStringKernel
• Covariance() : MahalanobisDistance< TakeRoot > , GaussianDistribution , DiagonalGaussianDistribution , GaussianDistribution
• CoverTree() : CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >
• Create() : InitHMMModel
• CreateChildren() : HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType >
• CreateMap() : StringEncoding< EncodingPolicyType, DictionaryType >
• CReLU() : CReLU< InputDataType, OutputDataType >
• CrossEntropyError() : CrossEntropyError< InputDataType, OutputDataType >
• CustomImputation() : CustomImputation< T >
• CVBase() : CVBase< MLAlgorithm, MatType, PredictionsType, WeightsType >
• CVFunction() : CVFunction< CVType, MLAlgorithm, TotalArgs, BoundArgs >