- c -
- CalculateBound() : NeighborSearchRules< SortPolicy, MetricType, TreeType >
- CalculateCentroid() : CosineTree
- CalculateCosines() : CosineTree
- CalculateDirection() : AllCategoricalSplit< FitnessFunction >, BestBinaryNumericSplit< FitnessFunction >, BinaryNumericSplitInfo< ObservationType >, CategoricalSplitInfo, DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion >, HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType >, NumericSplitInfo< ObservationType >
- CandidateIndices() : DrusillaSelect< MatType >
- CandidateSet() : DrusillaSelect< MatType >, QDAFN< MatType >
- CartPole() : CartPole
- CategoricalDQN() : CategoricalDQN< OutputLayerType, InitType, NetworkType >
- CategoricalSplitInfo() : CategoricalSplitInfo
- CauchyKernel() : CauchyKernel
- CELU() : CELU< InputDataType, OutputDataType >
- Center() : BallBound< MetricType, VecType >, HollowBallBound< TMetricType, ElemType >, HRectBound< MetricType, ElemType >, BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >, CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >, Octree< MetricType, StatisticType, MatType >, RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >, SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
- CenterTransformedData() : KernelPCA< KernelType, KernelRule >
- Centroid() : DualTreeKMeansStatistic, PellegMooreKMeansStatistic, CosineTree, ExampleTree< MetricType, StatisticType, MatType >
- 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() : DTree< MatType, TagType >, BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >, CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >, DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion >, ExampleTree< MetricType, StatisticType, MatType >, HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType >, Octree< MetricType, StatisticType, MatType >, RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >, SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
- ChildPtr() : DTree< MatType, TagType >, BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >, CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >, Octree< MetricType, StatisticType, MatType >, SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
- Children() : CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >, HilbertRTreeAuxiliaryInformation< TreeType, HilbertValueType >
- chk() : HasSerialize< T >
- ChooseDescentNode() : HilbertRTreeDescentHeuristic, RPlusPlusTreeDescentHeuristic, RPlusTreeDescentHeuristic, RStarTreeDescentHeuristic, RTreeDescentHeuristic
- ChooseRoot() : FirstPointIsRoot
- Classify() : AdaBoost< WeakLearnerType, MatType >, AdaBoostModel, DecisionStump< MatType >, DiagonalGMM, GMM, NaiveBayesClassifier< ModelMatType >, Perceptron< LearnPolicy, WeightInitializationPolicy, MatType >, LogisticRegression< MatType >, SoftmaxRegression, LinearSVM< MatType >, DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion >, HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType >, HoeffdingTreeModel, RandomForest< FitnessFunction, DimensionSelectionType, NumericSplitType, CategoricalSplitType, ElemType >
- CleanData() : CFType< DecompositionPolicy, NormalizationType >, SVDPlusPlus< OptimizerType >
- CleanedData() : CFType< DecompositionPolicy, NormalizationType >
- Clear() : HRectBound< MetricType, ElemType >, StringEncoding< EncodingPolicyType, DictionaryType >, StringEncodingDictionary< Token >, StringEncodingDictionary< boost::string_view >, StringEncodingDictionary< int >
- ClearSettings() : IO
- CLIOption() : CLIOption< N >
- Cluster() : 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() : LogisticRegression< MatType >, SoftmaxRegression, LinearSVM< MatType >
- 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() : BallBound< MetricType, VecType >, HollowBallBound< TMetricType, ElemType >, HRectBound< MetricType, ElemType >, RangeType< T >
- ContinuousDoublePoleCart() : ContinuousDoublePoleCart
- ContinuousMountainCar() : ContinuousMountainCar
- ConvertToDistance() : FurthestNS, NearestNS
- ConvertToScore() : FurthestNS, NearestNS
- Convolution() : Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >, FFTConvolution< BorderMode, padLastDim >, NaiveConvolution< BorderMode >, SVDConvolution< BorderMode >
- ConvolutionIntegral() : EpanechnikovKernel, ExampleKernel, GaussianKernel, SphericalKernel
- 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 >
- Counts() : PSpectrumStringKernel
- Covariance() : DiagonalGaussianDistribution, GaussianDistribution, MahalanobisDistance< TakeRoot >
- 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 >