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 >
• MapFirstPass() : MissingPolicy , DatasetMapper< PolicyType, InputType > , IncrementPolicy
• MappedType : IncrementPolicy , MissingPolicy
• Mapper() : Imputer< T, MapperType, StrategyType >
• Mappings() : AdaBoostModel
• MapString() : DatasetMapper< PolicyType, InputType > , IncrementPolicy , MissingPolicy
• Mask() : AlphaDropout< InputDataType, OutputDataType >
• 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 >
• MatrixA() : FuncSq
• MatrixCompletion() : MatrixCompletion
• MatUtriCholFactor() : LARS
• MatyasFunction() : MatyasFunction
• MAX_RP_TREE : NSModel< SortPolicy > , RSModel
• MaxDistance() : BallBound< MetricType, VecType > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , 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 >
• MaxGenerations() : CNE
• MaxGradient() : GradientClipping< UpdatePolicyType >
• MaxIterations() : RandomizedSVDPolicy , AdaDelta , RegSVDPolicy , AdaDelta , EMFit< InitialClusteringType, CovarianceConstraintPolicy > , AdaGrad , KMeans< MetricType, InitialPartitionPolicy, EmptyClusterPolicy, LloydStepType, MatType > , AdaGrad , LocalCoordinateCoding , AdamType< UpdateRule > , MeanShift< UseKernel, KernelType, MatType > , AdamType< UpdateRule > , RandomizedBlockKrylovSVDPolicy , BigBatchSGD< UpdatePolicyType > , RandomizedSVDPolicy , BigBatchSGD< UpdatePolicyType > , Perceptron< LearnPolicy, WeightInitializationPolicy, MatType > , CMAES< SelectionPolicyType > , RandomizedSVD , CMAES< SelectionPolicyType > , SparseCoding , FrankWolfe< LinearConstrSolverType, UpdateRuleType >
• maxIterations : SimpleResidueTermination
• MaxIterations() : FrankWolfe< LinearConstrSolverType, UpdateRuleType > , UpdateLineSearch , GradientDescent , IQN , KatyushaType< Proximal > , L_BFGS , LineSearch , ParallelSGD< DecayPolicyType > , RMSProp , SA< CoolingScheduleType > , SARAHType< UpdatePolicyType > , SCD< DescentPolicyType > , LRSDP< SDPType > , PrimalDualSolver< SDPType > , SGD< UpdatePolicyType, DecayPolicyType > , SGDR< UpdatePolicyType > , SnapshotSGDR< UpdatePolicyType > , SMORMS3 , SPALeRASGD< DecayPolicyType > , SVRGType< UpdatePolicyType, DecayPolicyType > , CompleteIncrementalTermination< TerminationPolicy > , IncompleteIncrementalTermination< TerminationPolicy > , MaxIterationTermination , SimpleResidueTermination , SimpleToleranceTermination< MatType > , ValidationRMSETermination< MatType > , RandomizedBlockKrylovSVD
• MaxIterationTermination() : MaxIterationTermination
• MaxLeafSize() : RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• MaxLineSearchTrials() : L_BFGS
• MaxNeighborDistance() : DTBStat
• MaxNumChildren() : RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• MaxPooling() : MaxPooling< InputDataType, OutputDataType >
• MaxRange() : ColumnsToBlocks
• MaxSamples() : HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType >
• MaxStep() : L_BFGS
• MaxToleranceSweep() : SA< CoolingScheduleType >
• MaxVals() : DTree< MatType, TagType >
• MaxValue() : HardTanH< InputDataType, OutputDataType >
• MaxVarianceNewCluster() : MaxVarianceNewCluster
• McCormickFunction() : McCormickFunction
• Mean() : GaussianDistribution , LaplaceDistribution , LayerNorm< InputDataType, OutputDataType >
• mean : RPTreeMeanSplit< BoundType, MatType >::SplitInfo
• MeanPooling() : MeanPooling< InputDataType, OutputDataType >
• Means() : NaiveBayesClassifier< ModelMatType >
• MeanShift() : MeanShift< UseKernel, KernelType, MatType >
• meanSplit : RPTreeMeanSplit< BoundType, MatType >::SplitInfo
• MeanSquaredError() : MeanSquaredError< InputDataType, OutputDataType >
• Metric() : RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , KMeans< MetricType, InitialPartitionPolicy, EmptyClusterPolicy, LloydStepType, MatType >
• metric : NeighborSearchRules< SortPolicy, MetricType, TreeType >
• Metric() : BallBound< MetricType, VecType > , ExampleTree< MetricType, StatisticType, MatType >
• metric : VantagePointSplit< BoundType, MatType, MaxNumSamples >::SplitInfo
• Metric() : BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , ExampleTree< MetricType, StatisticType, MatType > , HollowBallBound< TMetricType, ElemType > , Octree< MetricType, StatisticType, MatType > , SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType > , FastMKS< KernelType, MatType, TreeType > , KMeans< MetricType, InitialPartitionPolicy, EmptyClusterPolicy, LloydStepType, MatType > , BallBound< MetricType, VecType > , FastMKS< KernelType, MatType, TreeType >
• MetricType : VantagePointSplit< BoundType, MatType, MaxNumSamples > , HollowBallBound< TMetricType, ElemType >
• Mid() : RangeType< T >
• MIE : CVBase< MLAlgorithm, MatType, PredictionsType, WeightsType >
• MinBaseCases() : GreedySingleTreeTraverser< TreeType, RuleType >
• MinDelta() : HyperParameterTuner< MLAlgorithm, Metric, CV, OptimizerType, MatType, PredictionsType, WeightsType >
• MinDistance() : BallBound< MetricType, VecType > , Octree< MetricType, StatisticType, MatType > , RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , ExampleTree< MetricType, StatisticType, MatType > , HollowBallBound< TMetricType, ElemType > , ExampleTree< MetricType, StatisticType, MatType > , CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , BallBound< MetricType, VecType > , CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , HRectBound< MetricType, ElemType > , RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , HollowBallBound< TMetricType, ElemType > , HRectBound< MetricType, ElemType > , Octree< MetricType, StatisticType, MatType > , SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
• MinGradient() : GradientClipping< UpdatePolicyType >
• MinGradientNorm() : L_BFGS
• MinimumBoundDistance() : BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType > , CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , Octree< MetricType, StatisticType, MatType >
• MinimumSamplesReqd() : RAUtil
• MinLeafSize() : RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• MinNeighborDistance() : DTBStat
• MinNumberOfAdditionalArgs : TrainFormBase< PT, WT, SignatureParams >
• MinNumChildren() : RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• MinPointIterate() : L_BFGS
• MinRange() : ColumnsToBlocks
• minResidue : SimpleResidueTermination
• MinResidue() : SimpleResidueTermination
• MinSamples() : HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType >
• MinStep() : L_BFGS
• MinVals() : DTree< MatType, TagType >
• MinValue() : HardTanH< InputDataType, OutputDataType >
• MinWidth() : HRectBound< MetricType, ElemType > , BallBound< MetricType, VecType > , HRectBound< MetricType, ElemType > , HollowBallBound< TMetricType, ElemType >
• MissingPolicy() : MissingPolicy
• Model() : AddMerge< InputDataType, OutputDataType, CustomLayers > , DropConnect< InputDataType, OutputDataType > , Sequential< InputDataType, OutputDataType, CustomLayers > , MultiplyMerge< InputDataType, OutputDataType, CustomLayers > , Concat< InputDataType, OutputDataType, CustomLayers > , RecurrentAttention< InputDataType, OutputDataType > , Recurrent< InputDataType, OutputDataType, CustomLayers > , GRU< InputDataType, OutputDataType > , SimpleCV< MLAlgorithm, Metric, MatType, PredictionsType, WeightsType > , KFoldCV< MLAlgorithm, Metric, MatType, PredictionsType, WeightsType >
• ModifiedGramSchmidt() : CosineTree
• Momentum() : NesterovMomentumUpdate
• MonoSearchVisitor() : MonoSearchVisitor
• MonteCarloError() : CosineTree
• MountainCar() : MountainCar
• MoveCtrlSweep() : SA< CoolingScheduleType >
• mu : VantagePointSplit< BoundType, MatType, MaxNumSamples >::SplitInfo
• MultipleRandomDimensionSelect() : MultipleRandomDimensionSelect< NumDimensions >
• MultiplyConstant() : MultiplyConstant< InputDataType, OutputDataType >
• MultiplyMerge() : MultiplyMerge< InputDataType, OutputDataType, CustomLayers >
• MutationProbability() : CNE
• MutationSize() : CNE
• MVU() : MVU