- 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
• MapFirstPass() : IncrementPolicy , MissingPolicy , DatasetMapper< PolicyType, InputType >
• Mapper() : Imputer< T, MapperType, StrategyType >
• Mapping() : StringEncodingDictionary< Token > , StringEncodingDictionary< boost::string_view > , StringEncodingDictionary< int >
• Mappings() : AdaBoostModel
• MapString() : DatasetMapper< PolicyType, InputType > , IncrementPolicy , MissingPolicy
• Margin() : CosineEmbeddingLoss< InputDataType, OutputDataType > , MarginRankingLoss< InputDataType, OutputDataType > , CosineEmbeddingLoss< InputDataType, OutputDataType >
• MarginRankingLoss() : MarginRankingLoss< InputDataType, OutputDataType >
• Mask() : SplitByAnyOf , AlphaDropout< InputDataType, OutputDataType >
• MatrixCompletion() : MatrixCompletion
• MatUtriCholFactor() : LARS
• 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 >
• 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 , CompleteIncrementalTermination< TerminationPolicy >
• 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() : DoublePoleCart , MountainCar , Pendulum , Acrobot , CartPole , ContinuousDoublePoleCart , ContinuousMountainCar
• MaxVals() : DTree< MatType, TagType >
• MaxValue() : HardTanH< InputDataType, OutputDataType >
• MaxVarianceNewCluster() : MaxVarianceNewCluster
• MCAlpha() : KDEStat
• MCBeta() : KDEStat
• MCBreakCoef() : KDE< KernelType, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType >
• MCBreakCoefficient() : KDEModel
• MCBreakCoefVisitor() : MCBreakCoefVisitor
• MCEntryCoef() : KDE< KernelType, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType >
• MCEntryCoefficient() : KDEModel
• MCEntryCoefVisitor() : MCEntryCoefVisitor
• MCInitialSampleSize() : KDE< KernelType, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType > , KDEModel
• MCProb() : KDE< KernelType, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType >
• MCProbability() : KDEModel
• MCProbabilityVisitor() : MCProbabilityVisitor
• MCSampleSizeVisitor() : MCSampleSizeVisitor
• MDOption() : MDOption< T >
• Mean() : LayerNorm< InputDataType, OutputDataType > , L1Loss< InputDataType, OutputDataType > , LaplaceDistribution , DiagonalGaussianDistribution , GaussianDistribution , LaplaceDistribution , NormalDistribution< DataType > , HuberLoss< InputDataType, OutputDataType > , L1Loss< InputDataType, OutputDataType > , PoissonNLLLoss< InputDataType, OutputDataType > , ItemMeanNormalization , OverallMeanNormalization , UserMeanNormalization , ZScoreNormalization
• MeanAbsolutePercentageError() : MeanAbsolutePercentageError< InputDataType, OutputDataType >
• MeanBiasError() : MeanBiasError< InputDataType, OutputDataType >
• MeanDistanceFromCluster() : SilhouetteScore
• MeanPooling() : MeanPooling< InputDataType, OutputDataType >
• Means() : NaiveBayesClassifier< ModelMatType >
• MeanShift() : MeanShift< UseKernel, KernelType, MatType >
• MeanSquaredError() : MeanSquaredError< InputDataType, OutputDataType >
• MeanSquaredLogarithmicError() : MeanSquaredLogarithmicError< InputDataType, OutputDataType >
• MergeInitialization() : MergeInitialization< WInitializationRuleType, HInitializationRuleType >
• Metric() : KMeans< MetricType, InitialPartitionPolicy, EmptyClusterPolicy, LloydStepType, MatType > , 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 > , FastMKS< KernelType, MatType, TreeType > , KDE< KernelType, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType > , KMeans< MetricType, InitialPartitionPolicy, EmptyClusterPolicy, LloydStepType, MatType > , HRectBound< MetricType, ElemType > , ExampleTree< MetricType, StatisticType, MatType >
• Mid() : RangeType< T >
• MinDelta() : HyperParameterTuner< MLAlgorithm, Metric, CV, OptimizerType, MatType, PredictionsType, WeightsType >
• MinDistance() : BallBound< MetricType, VecType > , CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , HRectBound< MetricType, ElemType > , Octree< MetricType, StatisticType, MatType > , SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType > , RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , HollowBallBound< TMetricType, ElemType > , Octree< MetricType, StatisticType, MatType > , CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , BallBound< MetricType, VecType > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , ExampleTree< MetricType, StatisticType, MatType > , HollowBallBound< TMetricType, ElemType > , HRectBound< MetricType, ElemType > , RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType >
• MiniBatchDiscrimination() : MiniBatchDiscrimination< InputDataType, OutputDataType >
• MinimumBaseCases() : RASearchRules< SortPolicy, MetricType, TreeType > , RangeSearchRules< MetricType, TreeType > , KDERules< MetricType, KernelType, TreeType > , FastMKSRules< KernelType, TreeType > , DualTreeKMeansRules< MetricType, TreeType > , NeighborSearchRules< SortPolicy, MetricType, TreeType >
• MinimumBoundDistance() : RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > , CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > , Octree< MetricType, StatisticType, MatType > , BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > , SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType >
• MinimumSamplesReqd() : RAUtil
• MinLeafSize() : RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• MinMaxScaler() : MinMaxScaler
• MinNeighborDistance() : DTBStat
• MinNumChildren() : RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType >
• MinRange() : ColumnsToBlocks
• MinResidue() : SimpleResidueTermination
• MinReward() : RewardClipping< EnvironmentType >
• MinSamples() : HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType >
• MinVals() : DTree< MatType, TagType >
• MinValue() : HardTanH< InputDataType, OutputDataType >
• MinWidth() : HRectBound< MetricType, ElemType > , BallBound< MetricType, VecType > , HollowBallBound< TMetricType, ElemType >
• MissingPolicy() : MissingPolicy
• Mode() : KDE< KernelType, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType > , KDEModel
• Model() : Sequential< InputDataType, OutputDataType, residual, CustomLayers > , Concat< InputDataType, OutputDataType, CustomLayers > , VRClassReward< InputDataType, OutputDataType > , DropConnect< InputDataType, OutputDataType > , Recurrent< InputDataType, OutputDataType, CustomLayers > , KFoldCV< MLAlgorithm, Metric, MatType, PredictionsType, WeightsType > , RecurrentAttention< InputDataType, OutputDataType > , GRU< InputDataType, OutputDataType > , FFN< OutputLayerType, InitializationRuleType, CustomLayers > , Highway< InputDataType, OutputDataType, CustomLayers > , SimpleCV< MLAlgorithm, Metric, MatType, PredictionsType, WeightsType > , AddMerge< InputDataType, OutputDataType, CustomLayers > , MultiplyMerge< InputDataType, OutputDataType, CustomLayers >
• ModifiedGramSchmidt() : CosineTree
• Momentum() : BatchNorm< InputDataType, OutputDataType >
• MonoSearchVisitor() : MonoSearchVisitor
• MonteCarlo() : KDEModel , KDE< KernelType, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType >
• MonteCarloError() : CosineTree
• MonteCarloVisitor() : MonteCarloVisitor
• MountainCar() : MountainCar
• MultiheadAttention() : MultiheadAttention< InputDataType, OutputDataType, RegularizerType >
• MultipleRandomDimensionSelect() : MultipleRandomDimensionSelect
• MultiplyConstant() : MultiplyConstant< InputDataType, OutputDataType >
• MultiplyMerge() : MultiplyMerge< InputDataType, OutputDataType, CustomLayers >
• MVU() : MVU