- m -
- major1_iterator()
: shark::blas::triangular_matrix< T, Orientation, TriangularType >::major1_iterator< TIter >
- major2_iterator()
: shark::blas::triangular_matrix< T, Orientation, TriangularType >::major2_iterator< TIter >
- makeIndependent()
: shark::Data< Type >
, shark::LabeledData< InputT, LabelT >
- markLineForDeletion()
: shark::LRUCache< T >
- MarkovChain()
: shark::MarkovChain< Operator >
- MarkovPole()
: shark::MarkovPole< HiddenNeuron, OutputNeuron >
- mask()
: shark::OneNormRegularizer
, shark::TwoNormRegularizer
- matrix()
: shark::blas::matrix< T, L >
, shark::blas::matrix_vector_prod< MatA, VecV >
, shark::BlockMatrix2x2< Matrix >
, shark::ExampleModifiedKernelMatrix< InputType, CacheType >
, shark::GaussianKernelMatrix< T, CacheType >
, shark::KernelMatrix< InputType, CacheType >
, shark::LinearModel< InputType >
, shark::ModifiedKernelMatrix< InputType, CacheType >
, shark::RegularizedKernelMatrix< InputType, CacheType >
- matrix_addition()
: shark::blas::matrix_addition< E1, E2 >
- matrix_binary()
: shark::blas::matrix_binary< E1, E2, F >
- matrix_column()
: shark::blas::matrix_column< M >
- matrix_matrix_prod()
: shark::blas::matrix_matrix_prod< MatA, MatB >
- matrix_range()
: shark::blas::matrix_range< M >
- matrix_reference()
: shark::blas::matrix_reference< M >
- matrix_row()
: shark::blas::matrix_row< M >
- matrix_scalar_multiply()
: shark::blas::matrix_scalar_multiply< E >
- matrix_set()
: shark::blas::matrix_set< element_type >
- matrix_transpose()
: shark::blas::matrix_transpose< M >
- matrix_unary()
: shark::blas::matrix_unary< E, F >
- matrix_vector_prod()
: shark::blas::matrix_vector_prod< MatA, VecV >
- matrix_vector_range()
: shark::blas::matrix_vector_range< M >
- matrixA()
: shark::blas::matrix_matrix_prod< MatA, MatB >
- matrixB()
: shark::blas::matrix_matrix_prod< MatA, MatB >
- max()
: shark::TruncatedExponential< RngType >
, shark::TruncatedExponential_distribution< RealType >
- max_size()
: shark::blas::vector< T >
- maxBucketSize()
: shark::TreeConstruction
- maxDelta()
: shark::RpropMinus
- maxDepth()
: shark::TreeConstruction
- maxGainBox()
: shark::QpMcSimplexDecomp< Matrix >
- maxGainSimplex()
: shark::QpMcSimplexDecomp< Matrix >
- maxInterval()
: shark::LineSearch
- MaxIterations()
: shark::MaxIterations< ResultSet >
- maxSize()
: shark::LRUCache< T >
- McReinforcedSvmTrainer()
: shark::McReinforcedSvmTrainer< InputType, CacheType >
- McSvmADMTrainer()
: shark::McSvmADMTrainer< InputType, CacheType >
- McSvmATMTrainer()
: shark::McSvmATMTrainer< InputType, CacheType >
- McSvmATSTrainer()
: shark::McSvmATSTrainer< InputType, CacheType >
- McSvmCSTrainer()
: shark::McSvmCSTrainer< InputType, CacheType >
- McSvmLLWTrainer()
: shark::McSvmLLWTrainer< InputType, CacheType >
- McSvmMMRTrainer()
: shark::McSvmMMRTrainer< InputType, CacheType >
- McSvmOVATrainer()
: shark::McSvmOVATrainer< InputType, CacheType >
- McSvmWWTrainer()
: shark::McSvmWWTrainer< InputType, CacheType >
- mean()
: shark::BinaryLayer
, shark::BipolarLayer
, shark::CARTTrainer
, shark::CMA
, shark::CrossEntropyMethod
, shark::DiffGeometric< RngType >
, shark::Erlang< RngType >
, shark::Erlang_distribution< RealType >
, shark::GaussianLayer
, shark::HyperGeometric< RngType >
, shark::HyperGeometric_distribution< IntType, RealType >
, shark::LMCMA
, shark::NegExponential< RngType >
, shark::Normal< RngType >
, shark::NormalizeKernelUnitVariance< InputType >
, shark::PCA
, shark::Poisson< RngType >
, shark::TruncatedExponentialLayer
, shark::VDCMA
- meanAndScatter()
: shark::FisherLDA
- MeanModel()
: shark::MeanModel< ModelType >
- measureStrenght()
: shark::CARTTrainer
- median()
: shark::Cauchy< RngType >
- Median()
: shark::statistics::Median
- membershipKernel()
: shark::Centroids
- MergeBudgetMaintenanceStrategy()
: shark::MergeBudgetMaintenanceStrategy< InputType >
, shark::MergeBudgetMaintenanceStrategy< RealVector >
- MergingProblemFunction()
: shark::MergeBudgetMaintenanceStrategy< RealVector >::MergingProblemFunction
- minImprovementRatio()
: shark::TrustRegionNewton
- minInterval()
: shark::LineSearch
- minMargin()
: shark::KernelBudgetedSGDTrainer< InputType, CacheType >
- minus_assign()
: shark::blas::matrix_set< element_type >
- minus_assign_to()
: shark::blas::matrix_addition< E1, E2 >
, shark::blas::matrix_matrix_prod< MatA, MatB >
, shark::blas::matrix_scalar_multiply< E >
, shark::blas::matrix_vector_prod< MatA, VecV >
, shark::blas::vector_addition< E1, E2 >
, shark::blas::vector_scalar_multiply< E >
, shark::blas::vector_unary< E, F >
- MissingFeaturesKernelExpansion()
: shark::MissingFeaturesKernelExpansion< InputType >
- MissingFeatureSvmTrainer()
: shark::MissingFeatureSvmTrainer< InputType, CacheType >
- mixingRatio()
: shark::UniformCrossover
- MklKernel()
: shark::MklKernel< InputType >
- MNIST()
: shark::MNIST
- modelCSvmParameterDerivative()
: shark::CSvmDerivative< InputType, CacheType >
- ModelKernel()
: shark::ModelKernel< InputType >
- ModifiedKernelMatrix()
: shark::ModifiedKernelMatrix< InputType, CacheType >
- momentum()
: shark::SteepestDescent
- MonomialKernel()
: shark::MonomialKernel< InputType >
- move()
: shark::DoublePole
, shark::SinglePole
- mu()
: shark::CMA
, shark::CMSA
, shark::IndicatorBasedMOCMA< Indicator >
, shark::IndicatorBasedRealCodedNSGAII< Indicator >
, shark::IndicatorBasedSteadyStateMOCMA< Indicator >
, shark::LMCMA
, shark::SMSEMOA
, shark::VDCMA
- MultiChainApproximator()
: shark::MultiChainApproximator< MarkovChainType >
- MultiNomialDistribution()
: shark::MultiNomialDistribution
- Multiply()
: shark::Multiply
- multiply_assign()
: shark::blas::matrix_set< element_type >
- MultiSequenceIterator()
: shark::MultiSequenceIterator< SequenceContainer >
- MultiTaskKernel()
: MultiTaskKernel< InputTypeT >
- MultiTaskSample()
: shark::MultiTaskSample< InputTypeT >
- MultiVariateNormalDistribution()
: shark::MultiVariateNormalDistribution
- MultiVariateNormalDistributionCholesky()
: shark::MultiVariateNormalDistributionCholesky
- mutate()
: shark::CMAIndividual< FitnessType >