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

- m -

• MahalanobisDistance() : MahalanobisDistance< TakeRoot >
• MajorityClass() : BinaryNumericSplit< FitnessFunction, ObservationType > , HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType > , HoeffdingCategoricalSplit< FitnessFunction > , HoeffdingNumericSplit< FitnessFunction, ObservationType > , HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType >
• MajorityProbability() : BinaryNumericSplit< FitnessFunction, ObservationType > , HoeffdingCategoricalSplit< FitnessFunction > , HoeffdingNumericSplit< FitnessFunction, ObservationType > , HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType >
• MakeInPlaceCopy() : IO
• map : BindingInfo
• MapFirstPass() : DatasetMapper< PolicyType, InputType > , IncrementPolicy , MissingPolicy
• MappedType : IncrementPolicy , MissingPolicy
• Mapper() : Imputer< T, MapperType, StrategyType >
• Mapping() : StringEncodingDictionary< Token > , StringEncodingDictionary< boost::string_view > , StringEncodingDictionary< int >
• Mappings() : AdaBoostModel
• MapString() : IncrementPolicy , MissingPolicy , DatasetMapper< PolicyType, InputType >
• MapType : StringEncodingDictionary< Token > , StringEncodingDictionary< boost::string_view > , StringEncodingDictionary< int >
• Margin() : CosineEmbeddingLoss< InputDataType, OutputDataType > , MarginRankingLoss< InputDataType, OutputDataType >
• MarginRankingLoss() : MarginRankingLoss< InputDataType, OutputDataType >
• Mask() : SplitByAnyOf , AlphaDropout< InputDataType, OutputDataType >
• MaskType : SplitByAnyOf
• Mat : 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 >
• MatrixCompletion() : MatrixCompletion
• MatUtriCholFactor() : LARS
• MAX_ABS_SCALER : ScalingModel
• MAX_RP_TREE : NSModel< SortPolicy > , RSModel
• MaxDistance() : CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , ExampleTree< MetricType, StatisticType, MatType > , HollowBallBound< TMetricType, ElemType > , 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 >
• maxIterations : SimpleResidueTermination
• MaxIterations() : CompleteIncrementalTermination< TerminationPolicy > , IncompleteIncrementalTermination< TerminationPolicy > , MaxIterationTermination , SimpleResidueTermination , SimpleToleranceTermination< MatType > , ValidationRMSETermination< MatType > , RandomizedBlockKrylovSVD , BiasSVDPolicy , RandomizedSVDPolicy , RegSVDPolicy , SVDPlusPlusPolicy , EMFit< InitialClusteringType, CovarianceConstraintPolicy, Distribution > , KMeans< MetricType, InitialPartitionPolicy, EmptyClusterPolicy, LloydStepType, MatType > , LocalCoordinateCoding , MeanShift< UseKernel, KernelType, MatType > , RandomizedBlockKrylovSVDPolicy , RandomizedSVDPolicy , Perceptron< LearnPolicy, WeightInitializationPolicy, MatType > , RandomizedSVD , SparseCoding
• MaxIterationTermination() : MaxIterationTermination
• MaxLeafSize() : RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• MaxNeighborDistance() : DTBStat
• MaxNumChildren() : RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• MaxOrder() : BLEU< ElemType, PrecisionType >
• MaxPooling() : MaxPooling< InputDataType, OutputDataType >
• MaxRange() : ColumnsToBlocks
• MaxReward() : RewardClipping< EnvironmentType >
• MaxSamples() : HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType >
• MaxSteps() : Acrobot , CartPole , ContinuousDoublePoleCart , ContinuousMountainCar , DoublePoleCart , MountainCar , Pendulum
• MaxVals() : DTree< MatType, TagType >
• MaxValue() : HardTanH< InputDataType, OutputDataType >
• MaxVarianceNewCluster() : MaxVarianceNewCluster
• MCAlpha() : KDEStat
• MCBeta() : KDEStat
• MCBreakCoef() : KDE< KernelType, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType >
• mcBreakCoef : KDEDefaultParams
• MCBreakCoefficient() : KDEModel
• MCBreakCoefVisitor() : MCBreakCoefVisitor
• MCEntryCoef() : KDE< KernelType, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType >
• mcEntryCoef : KDEDefaultParams
• MCEntryCoefficient() : KDEModel
• MCEntryCoefVisitor() : MCEntryCoefVisitor
• MCInitialSampleSize() : KDE< KernelType, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType > , KDEModel
• MCProb() : KDE< KernelType, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType >
• mcProb : KDEDefaultParams
• MCProbability() : KDEModel
• MCProbabilityVisitor() : MCProbabilityVisitor
• MCSampleSizeVisitor() : MCSampleSizeVisitor
• MDOption() : MDOption< T >
• Mean() : UserMeanNormalization , HuberLoss< InputDataType, OutputDataType > , DiagonalGaussianDistribution , LaplaceDistribution , DiagonalGaussianDistribution , GaussianDistribution , LaplaceDistribution , NormalDistribution< DataType > , LayerNorm< InputDataType, OutputDataType > , HuberLoss< InputDataType, OutputDataType > , L1Loss< InputDataType, OutputDataType > , PoissonNLLLoss< InputDataType, OutputDataType > , ItemMeanNormalization , OverallMeanNormalization , ZScoreNormalization
• mean : RPTreeMeanSplit< BoundType, MatType >::SplitInfo
• MEAN_NORMALIZATION : ScalingModel
• MeanAbsolutePercentageError() : MeanAbsolutePercentageError< InputDataType, OutputDataType >
• MeanBiasError() : MeanBiasError< InputDataType, OutputDataType >
• MeanDistanceFromCluster() : SilhouetteScore
• MeanPooling() : MeanPooling< InputDataType, OutputDataType >
• Means() : NaiveBayesClassifier< ModelMatType >
• MeanShift() : MeanShift< UseKernel, KernelType, MatType >
• meanSplit : RPTreeMeanSplit< BoundType, MatType >::SplitInfo
• MeanSquaredError() : MeanSquaredError< InputDataType, OutputDataType >
• MeanSquaredLogarithmicError() : MeanSquaredLogarithmicError< InputDataType, OutputDataType >
• MergeInitialization() : MergeInitialization< WInitializationRuleType, HInitializationRuleType >
• Metric() : CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , BallBound< MetricType, VecType > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , ExampleTree< MetricType, StatisticType, MatType > , HollowBallBound< TMetricType, ElemType >
• metric : VantagePointSplit< BoundType, MatType, MaxNumSamples >::SplitInfo
• Metric() : HRectBound< MetricType, ElemType > , Octree< MetricType, StatisticType, MatType > , SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType > , FastMKS< KernelType, MatType, TreeType > , KDE< KernelType, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType > , KMeans< MetricType, InitialPartitionPolicy, EmptyClusterPolicy, LloydStepType, MatType >
• metric : NeighborSearchRules< SortPolicy, MetricType, TreeType >
• Metric() : RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , HollowBallBound< TMetricType, ElemType >
• MetricType : HollowBallBound< TMetricType, ElemType > , VantagePointSplit< BoundType, MatType, MaxNumSamples >
• Mid() : RangeType< T >
• MIE : CVBase< MLAlgorithm, MatType, PredictionsType, WeightsType >
• MIN_MAX_SCALER : ScalingModel
• MinDelta() : HyperParameterTuner< MLAlgorithm, Metric, CV, OptimizerType, MatType, PredictionsType, WeightsType >
• MinDistance() : SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType > , HRectBound< MetricType, ElemType > , Octree< MetricType, StatisticType, MatType > , RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , BallBound< MetricType, VecType > , CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , ExampleTree< MetricType, StatisticType, MatType > , SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType > , HollowBallBound< TMetricType, ElemType > , Octree< MetricType, StatisticType, MatType > , HollowBallBound< TMetricType, ElemType > , CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , BallBound< MetricType, VecType > , CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , ExampleTree< MetricType, StatisticType, MatType >
• MiniBatchDiscrimination() : MiniBatchDiscrimination< InputDataType, OutputDataType >
• MinimumBaseCases() : FastMKSRules< KernelType, TreeType > , DualTreeKMeansRules< MetricType, TreeType > , RangeSearchRules< MetricType, TreeType > , KDERules< MetricType, KernelType, TreeType > , NeighborSearchRules< SortPolicy, MetricType, TreeType > , RASearchRules< SortPolicy, MetricType, TreeType >
• MinimumBoundDistance() : BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType > , Octree< MetricType, StatisticType, MatType > , RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• MinimumSamplesReqd() : RAUtil
• MinLeafSize() : RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• MinMaxScaler() : MinMaxScaler
• MinNeighborDistance() : DTBStat
• MinNumberOfAdditionalArgs : TrainFormBase6< PT, WT, T1, T2, T3, T4 > , TrainFormBase5< PT, WT, T1, T2, T3 > , TrainFormBase7< PT, WT, T1, T2, T3, T4, T5 > , TrainFormBase4< PT, WT, T1, T2 >
• MinNumChildren() : RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• MinRange() : ColumnsToBlocks
• MinResidue() : SimpleResidueTermination
• minResidue : SimpleResidueTermination
• MinReward() : RewardClipping< EnvironmentType >
• MinSamples() : HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType >
• MinVals() : DTree< MatType, TagType >
• MinValue() : HardTanH< InputDataType, OutputDataType >
• MinWidth() : HRectBound< MetricType, ElemType > , HollowBallBound< TMetricType, ElemType > , BallBound< MetricType, VecType > , HRectBound< MetricType, ElemType >
• MissingPolicy() : MissingPolicy
• Mode() : KDEModel , KDE< KernelType, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType >
• mode : KDEDefaultParams
• Mode() : KDEModel
• Model() : AddMerge< InputDataType, OutputDataType, CustomLayers > , FFN< OutputLayerType, InitializationRuleType, CustomLayers > , GRU< InputDataType, OutputDataType > , VRClassReward< InputDataType, OutputDataType > , RecurrentAttention< InputDataType, OutputDataType > , KFoldCV< MLAlgorithm, Metric, MatType, PredictionsType, WeightsType > , Highway< InputDataType, OutputDataType, CustomLayers > , MultiplyMerge< InputDataType, OutputDataType, CustomLayers > , Sequential< InputDataType, OutputDataType, residual, CustomLayers > , FFN< OutputLayerType, InitializationRuleType, CustomLayers > , DropConnect< InputDataType, OutputDataType > , Recurrent< InputDataType, OutputDataType, CustomLayers > , Concat< InputDataType, OutputDataType, CustomLayers > , SimpleCV< MLAlgorithm, Metric, MatType, PredictionsType, WeightsType >
• ModifiedGramSchmidt() : CosineTree
• Momentum() : BatchNorm< InputDataType, OutputDataType >
• MonoSearchVisitor() : MonoSearchVisitor
• MonteCarlo() : KDE< KernelType, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType >
• monteCarlo : KDEDefaultParams
• MonteCarlo() : KDEModel
• MonteCarloError() : CosineTree
• MonteCarloVisitor() : MonteCarloVisitor
• MountainCar() : MountainCar
• mu : VantagePointSplit< BoundType, MatType, MaxNumSamples >::SplitInfo
• MultiheadAttention() : MultiheadAttention< InputDataType, OutputDataType, RegularizerType >
• MultipleRandomDimensionSelect() : MultipleRandomDimensionSelect
• MultiplyConstant() : MultiplyConstant< InputDataType, OutputDataType >
• MultiplyMerge() : MultiplyMerge< InputDataType, OutputDataType, CustomLayers >
• MVU() : MVU