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

- m -

• CMachine() : CMachine
• CMachineEvaluation() : CMachineEvaluation
• CMahalanobisDistance() : CMahalanobisDistance
• CMajorityVote() : CMajorityVote
• CManhattanMetric() : CManhattanMetric
• CManhattanWordDistance() : CManhattanWordDistance
• CManifoldSculpting() : CManifoldSculpting
• CMap() : CMap< K, T >
• CMAPInference() : CMAPInference
• CMAPInferImpl() : CMAPInferImpl
• CMatchWordStringKernel() : CMatchWordStringKernel
• CMath() : CMath
• CMatrixFeatures() : CMatrixFeatures< ST >
• CMatrixOperator() : CMatrixOperator< T >
• CMCLDA() : CMCLDA
• CMeanAbsoluteError() : CMeanAbsoluteError
• CMeanFunction() : CMeanFunction
• CMeanRule() : CMeanRule
• CMeanShiftDataGenerator() : CMeanShiftDataGenerator
• CMeanSquaredError() : CMeanSquaredError
• CMeanSquaredLogError() : CMeanSquaredLogError
• CMemoryMappedFile() : CMemoryMappedFile< T >
• CMinimizerContext() : CMinimizerContext
• CMinkowskiMetric() : CMinkowskiMetric
• CMixtureModel() : CMixtureModel
• CMKL() : CMKL
• CMKLClassification() : CMKLClassification
• CMKLMulticlass() : CMKLMulticlass
• CMKLOneClass() : CMKLOneClass
• CMKLRegression() : CMKLRegression
• CMMDKernelSelection() : CMMDKernelSelection
• CMMDKernelSelectionComb() : CMMDKernelSelectionComb
• CMMDKernelSelectionCombMaxL2() : CMMDKernelSelectionCombMaxL2
• CMMDKernelSelectionCombOpt() : CMMDKernelSelectionCombOpt
• CMMDKernelSelectionMax() : CMMDKernelSelectionMax
• CMMDKernelSelectionMedian() : CMMDKernelSelectionMedian
• CMMDKernelSelectionOpt() : CMMDKernelSelectionOpt
• CModelSelection() : CModelSelection
• CModelSelectionParameters() : CModelSelectionParameters , CParameterCombination
• CMPDSVM() : CMPDSVM
• CMulticlassAccuracy() : CMulticlassAccuracy
• CMulticlassLabels() : CMulticlassLabels
• CMulticlassLibLinear() : CMulticlassLibLinear
• CMulticlassLibSVM() : CMulticlassLibSVM
• CMulticlassLogisticRegression() : CMulticlassLogisticRegression
• CMulticlassMachine() : CMulticlassMachine
• CMulticlassModel() : CMulticlassModel
• CMulticlassOCAS() : CMulticlassOCAS
• CMulticlassOneVsOneStrategy() : CMulticlassOneVsOneStrategy
• CMulticlassOneVsRestStrategy() : CMulticlassOneVsRestStrategy
• CMulticlassOVREvaluation() : CMulticlassOVREvaluation
• CMulticlassSOLabels() : CMulticlassSOLabels
• CMulticlassStrategy() : CMulticlassStrategy
• CMulticlassSVM() : CMulticlassSVM , CSVM
• CMulticlassTreeGuidedLogisticRegression() : CMulticlassTreeGuidedLogisticRegression
• CMultidimensionalScaling() : CMultidimensionalScaling
• CMultilabelAccuracy() : CMultilabelAccuracy
• CMultilabelCLRModel() : CMultilabelCLRModel
• CMultilabelLabels() : CMultilabelLabels
• CMultilabelModel() : CMultilabelModel
• CMultilabelSOLabels() : CMultilabelSOLabels
• CMultiLaplacianInferenceMethod() : CMultiLaplacianInferenceMethod
• CMultiquadricKernel() : CMultiquadricKernel
• CMultitaskClusteredLogisticRegression() : CMultitaskClusteredLogisticRegression
• CMultitaskKernelMaskNormalizer : CKernel , CMultitaskKernelMaskNormalizer
• CMultitaskKernelMaskPairNormalizer : CKernel , CMultitaskKernelMaskPairNormalizer
• CMultitaskKernelMklNormalizer : CKernel , CMultitaskKernelMklNormalizer
• CMultitaskKernelNormalizer : CKernel , CMultitaskKernelNormalizer
• CMultitaskKernelPlifNormalizer() : CMultitaskKernelPlifNormalizer
• CMultitaskKernelTreeNormalizer() : CMultitaskKernelTreeNormalizer
• CMultitaskL12LogisticRegression() : CMultitaskL12LogisticRegression
• CMultitaskLeastSquaresRegression() : CMultitaskLeastSquaresRegression
• CMultitaskLinearMachine() : CMultitaskLinearMachine
• CMultitaskLogisticRegression() : CMultitaskLogisticRegression
• CMultitaskROCEvaluation() : CMultitaskROCEvaluation
• CMultitaskTraceLogisticRegression() : CMultitaskTraceLogisticRegression
• m : D_THREAD_PARAM< T >
• M : CGUIHMM , CHMM
• m : K_THREAD_PARAM< T > , lbfgs_parameter_t
• m_A : CRelaxedTree
• m_absence_reason : Nothing
• m_absolute_tolerence : CIterativeLinearSolver< T, ST >
• m_accuracies : CCrossValidationMulticlassStorage
• m_activation_function : CConvolutionalFeatureMap , CNeuralConvolutionalLayer
• m_activation_gradients : CNeuralLayer
• m_activations : CNeuralLayer
• m_adapt_rate : AdaptMomentumCorrection
• m_adj_matrix : CNeuralNetwork
• m_aggregate : CStoreVectorAggregator< T >
• m_aggregator : CIndependentJob
• m_al : CSingleFITCLaplacianBase
• m_algorithm : CFeatureSelection< ST >
• m_all_intersections : CGEMPLP
• m_all_oob_idx : CBaggingMachine
• m_all_pos : CIntronList
• m_all_positions : CGUIStructure
• m_alpha : CInferenceMethod , CKernelMachine , CNeuralLeakyRectifiedLinearLayer
• m_alphas : CCARTree
• m_angle : CGaussianBlobsDataGenerator
• m_apply_cv_pruning : CCARTree
• m_ARD_type : CExponentialARDKernel
• m_array : CDynamicArray< T > , CPlifArray
• m_auPRC : CPRCEvaluation
• m_auROC : CROCEvaluation
• m_autoencoder_position : CConvolutionalFeatureMap
• m_autolock : CMachineEvaluation
• m_average_gradient : SVRGMinimizer
• m_B : CRelaxedTree , CSingleFITCLaplacianBase
• m_bag_size : CBaggingMachine
• m_bags : CBaggingMachine
• m_basealphas : CGMNPSVM
• m_basealphas_x : CGMNPSVM
• m_basealphas_y : CGMNPSVM
• m_batch_size : CDeepBeliefNetwork , CNeuralLayer , CNeuralNetwork , CRBM
• m_be : CFITCInferenceMethod
• m_beta : CHistogramIntersectionKernel
• m_bias : CKernelMachine
• m_bias_index_offsets : CDeepBeliefNetwork
• m_bias_vector : CKernelPCA
• m_binary_evaluation : CMulticlassOVREvaluation
• m_binary_evaluations : CCrossValidationMulticlassStorage
• m_bins : CBinnedDotFeatures
• m_blocks : CIndexBlockGroup
• m_blocksize : CStreamingMMD
• m_buf_size : CMulticlassOCAS
• m_build_in_learning_rate : AdaDeltaUpdater , AdaGradUpdater , RmsPropUpdater
• m_C : CLibLinearRegression , CLinearLatentMachine , CMulticlassLibLinear , CMulticlassOCAS , CMulticlassSVM
• m_cached_psi : CLatentModel
• m_cardinalities : CFactorGraph
• m_cards : CFactorType
• m_centroids : CNearestCentroid
• m_child_nodes : CParameterCombination
• m_children : CTreeMachineNode< T >
• m_chol_R0 : CSingleFITCLaplacianInferenceMethod
• m_chol_utr : CFITCInferenceMethod
• m_chol_uu : CFITCInferenceMethod
• m_cholesky : CGaussianBlobsDataGenerator
• m_codebook : CECOCIHDDecoder , CECOCStrategy
• m_codelen : CECOCRandomDenseEncoder , CECOCRandomSparseEncoder
• m_coef : CMultiquadricKernel , CRationalQuadraticKernel
• m_coefficients : CGMM
• m_col_begin : Block< Matrix >
• m_col_size : Block< Matrix >
• m_col_subset_stack : CCustomKernel
• m_combination_rule : CBaggingMachine
• m_compact : CGaussianKernel
• m_components : CGMM
• m_computation_engine : COperatorFunction< T >
• m_compute_conf_matrices : CCrossValidationMulticlassStorage
• m_compute_PRC : CCrossValidationMulticlassStorage
• m_compute_ROC : CCrossValidationMulticlassStorage
• m_computed : CContingencyTableEvaluation , CPRCEvaluation , CROCEvaluation
• m_conf_int_alpha : CCrossValidation
• m_conf_matrices : CCrossValidationMulticlassStorage
• m_const_diag : CScatterKernelNormalizer
• m_const_learning_rate : ConstLearningRate
• m_const_offdiag : CScatterKernelNormalizer
• m_constant : CGaussian
• m_constant_multiplier : CRationalApproximation
• m_content_svm_weights : CGUIStructure
• m_contraction_coefficient : CAutoencoder
• m_converter : CDimensionReductionPreprocessor , CGUIConverter
• m_convolution_output : CNeuralConvolutionalLayer
• m_convolution_output_gradients : CNeuralConvolutionalLayer
• m_correction : DescendUpdaterWithCorrection
• m_cov_type : CGaussian
• m_ctype : TSGDataType
• m_cum_num_words : CDynProg
• m_cum_num_words_array : CDynProg
• m_cumprod_cards : CFactorType
• m_cur_iter : CLinearLatentMachine
• m_cur_passes : FirstOrderStochasticMinimizer
• m_current_fold_index : CCrossValidationOutput
• m_current_run_index : CCrossValidationOutput
• m_current_task : CMultitaskLinearMachine
• m_current_values : CLabels
• m_custom_kernel : CKernelMachine
• m_d : CGaussian
• m_d2lp : CSingleFITCLaplacianInferenceMethod , CSingleLaplacianInferenceMethod
• m_d3lp : CSingleFITCLaplacianInferenceMethod , CSingleLaplacianInferenceMethod
• m_data : CFactor , CNbodyTree
• m_data_locked : CMachine
• m_data_size : CFactorType
• m_data_source : CFactor
• m_data_sparse : CFactor
• m_datasources : CFactorGraph
• m_datatype : TParameter
• m_decay_factor : AdaDeltaUpdater , RmsPropUpdater
• m_decoder : CECOCStrategy
• m_degree : CLogKernel , CPolyFeatures , CPowerKernel , CSNPStringKernel , CSparsePolyFeatures
• m_delimiter : CUAIFile
• m_delta : CDistantSegmentsKernel , CECOCIHDDecoder , CKLInferenceMethod , LBFGSMinimizer
• m_descend_rate : AdaptMomentumCorrection
• m_description : TParameter
• m_desired_accuracy : CRationalApproximation
• m_dfhat : CSingleFITCLaplacianInferenceMethod , CSingleLaplacianInferenceMethod
• m_dg : CSingleFITCLaplacianInferenceMethod
• m_diag_H : CQPBSVMLib
• m_dict_weights : CDynProg
• m_dim : CGaussianNaiveBayes , CQPBSVMLib
• m_dimension : CLinearOperator< T > , CMeanShiftDataGenerator , CProbabilityDistribution , CTraceSampler
• m_dimension_shift : CMeanShiftDataGenerator
• m_distance : CCauchyKernel , CDimensionReductionPreprocessor , CEmbeddingConverter , CExponentialKernel , CGaussianBlobsDataGenerator , CJLCoverTreePoint , CLogKernel , CMultiquadricKernel , CRationalQuadraticKernel , CWaveKernel
• m_divide_by_std : CPruneVarSubMean
• m_dlp : CLaplacianInferenceBase , CSingleFITCLaplacianInferenceMethod
• m_do_caching : CLatentModel
• m_do_unlock : CMachineEvaluation
• m_dp : CGUIStructure
• m_dropout_mask : CNeuralLayer
• m_dset : CFactorGraph
• m_dual_variable : SMIDASMinimizer
• m_E : CInferenceMethod
• m_eigen_solver : CRationalApproximation
• m_eigenvalue_zero_tolerance : CPCA
• m_eigenvalues : CMultidimensionalScaling
• m_eigenvalues_vector : CFisherLDA , CPCA
• m_encoder : CECOCStrategy
• m_end_state_distribution_q : CDynProg
• m_end_state_distribution_q_deriv : CDynProg
• m_energies : CFactor
• m_energy : CMAPInference
• m_epsilon : AdaDeltaUpdater , AdaGradUpdater , CKLInferenceMethod , CLibLinearRegression , CLinearLatentMachine , CMulticlassLibLinear , CMulticlassLogisticRegression , CMulticlassOCAS , CMulticlassTreeGuidedLogisticRegression , LBFGSMinimizer , RmsPropUpdater
• m_estimator : CDependenceMaximization , CKernelSelection
• m_evaluation_criterion : CMachineEvaluation
• m_evaluations_results : CCrossValidationMulticlassStorage
• m_exp_factor : CKLInferenceMethod
• m_exponent : InverseScalingLearningRate
• m_extension : CLocalAlignmentStringKernel
• m_f : CQPBSVMLib
• m_f3 : CSparseVGInferenceMethod
• m_f_gap : CSparseInverseCovariance
• m_factor_type : CFactor
• m_factor_types : CFactorGraphModel
• m_factors : CFactorGraph , CGEMPLP
• m_factors_scope : CUAIFile
• m_factors_table : CUAIFile
• m_feat : CPolyFeatures , CSparsePolyFeatures
• m_feat_dim3 : CPlifMatrix
• m_feats : CConditionalProbabilityTree , CRelaxedTree , CVwConditionalProbabilityTree
• m_feature_dims : CGUIStructure
• m_feature_index : CIndexFeatures
• m_feature_matrix : CGUIStructure
• m_feature_matrix_sparse1 : CGUIStructure
• m_feature_matrix_sparse2 : CGUIStructure
• m_feature_relation : CFeatureBlockLogisticRegression
• m_features : CBaggingMachine , CBinnedDotFeatures , CGaussianNaiveBayes , CInferenceMethod , CLatentModel , CLinearMulticlassMachine , CMachineEvaluation , CStructuredModel
• m_features_container : CJLCoverTreePoint
• m_fg : CMAPInference , CMAPInferImpl
• m_filename : CSerializableFile
• m_fill : CBinnedDotFeatures
• m_filter_height : CConvolutionalFeatureMap
• m_filter_width : CConvolutionalFeatureMap
• m_float64_map : CMinimizerContext
• m_FN : CContingencyTableEvaluation
• m_fname : CBinaryStream< T >
• m_fold_PRC_graphs : CCrossValidationMulticlassStorage
• m_fold_ROC_graphs : CCrossValidationMulticlassStorage
• m_folds : CCARTree
• m_FP : CContingencyTableEvaluation
• m_free_km : CCustomKernel
• m_from : TMultipleCPinfo
• m_fstream : CSerializableFile
• m_ftol : CKLInferenceMethod , LBFGSMinimizer
• m_fully_sparse : CSingleSparseInferenceBase
• m_fun : FirstOrderMinimizer
• m_function_tolerance : NLOPTMinimizer
• m_function_type : COperatorFunction< T >
• m_g : CSingleFITCLaplacianInferenceMethod , CSingleLaplacianInferenceMethod
• m_gamma : CLDA , CStochasticGBMachine
• m_general : CIndexBlockTree
• m_genestr : CDynProg
• m_genestr_stop : CDynProg
• m_grad_tolerance : CGradientModelSelection
• m_gradient_accuracy : AdaDeltaUpdater , AdaGradUpdater , RmsPropUpdater
• m_gradient_delta_accuracy : AdaDeltaUpdater
• m_gradient_parameters : CSGObject
• m_gradient_update : CInferenceMethod
• m_gradient_updater : FirstOrderStochasticMinimizer
• m_graph_results : CMulticlassOVREvaluation
• m_gtol : CKLInferenceMethod , LBFGSMinimizer
• m_H : CQPBSVMLib
• m_has_cycle : CFactorGraph
• m_hash : CSGObject
• m_hash_bits : CHashedWDFeatures , CHashedWDFeaturesTransposed , CSparsePolyFeatures
• m_height : CNeuralLayer
• m_helper : CStructuredOutputMachine
• m_ids : CPlifMatrix
• m_idx : CPruneVarSubMean
• m_ignore_rejects : CMulticlassAccuracy
• m_ind_tolerance : CSingleSparseInferenceBase
• m_index : CConvolutionalFeatureMap , CJLCoverTreePoint
• m_index_offsets : CNeuralNetwork
• m_index_tree : CMulticlassTreeGuidedLogisticRegression
• m_indices : CTask
• m_inducing_features : CSparseInferenceBase
• m_inf_type : CFactorGraphModel
• m_infer_impl : CMAPInference
• m_inhomogene : CSNPStringKernel
• m_init_descend_rate : AdaptMomentumCorrection
• m_init_features : CKernelPCA
• m_initial_learning_rate : InverseScalingLearningRate
• m_initial_state_distribution_p : CDynProg
• m_initial_state_distribution_p_deriv : CDynProg
• m_initialization_mode : CNeuralConvolutionalLayer
• m_initialized : CCrossValidationMulticlassStorage , CKernelPCA , CPCA , CPruneVarSubMean , CRescaleFeatures
• m_input_dimensions : CPolyFeatures , CSparsePolyFeatures
• m_input_height : CConvolutionalFeatureMap , CNeuralConvolutionalLayer
• m_input_indices : CNeuralLayer
• m_input_num_channels : CNeuralConvolutionalLayer
• m_input_num_neurons : CConvolutionalFeatureMap
• m_input_sizes : CNeuralLayer
• m_input_width : CConvolutionalFeatureMap , CNeuralConvolutionalLayer
• m_int32_map : CMinimizerContext
• m_int_gap_thr : CGEMPLP::Parameter
• m_intercept : InverseScalingLearningRate
• m_intron_list : CDynProg , CIntronList
• m_inv_La : CSparseVGInferenceMethod
• m_inv_Lm : CSparseVGInferenceMethod
• m_InvK_Sigma : CKLLowerTriangularInferenceMethod
• m_is_computed_max : CEigenSolver
• m_is_computed_min : CEigenSolver
• m_is_data_dep : CFactor
• m_is_filled : CSplittingStrategy
• m_is_symmetric : CCustomKernel
• m_is_trained : CNearestCentroid
• m_is_training : CNeuralNetwork
• m_is_valid : CDualVariationalGaussianLikelihood
• m_iter : CLaplacianInferenceBase , CSingleFITCLaplacianInferenceMethod
• m_iter_counter : FirstOrderStochasticMinimizer
• m_k : CIsomap , CKNN , CLaplacianEigenmaps , CLocallyLinearEmbedding
• m_kernel : CDimensionReductionPreprocessor , CEmbeddingConverter , CGMNPLib , CGNPPLib , CInferenceMethod , CKernelMeanMatching , CKernelMulticlassMachine , CKernelStructuredOutputMachine , CKernelTwoSampleTest , CRelaxedTree
• m_kernel_backup : CKernelMachine
• m_kernel_features : CKernelDependenceMaximization
• m_kernel_labels : CKernelDependenceMaximization
• m_Kernel_LsD : CKLLowerTriangularInferenceMethod
• m_kernel_p : CKernelIndependenceTest
• m_Kernel_P : CKLLowerTriangularInferenceMethod
• m_kernel_q : CKernelIndependenceTest
• m_Knm_inv_Lm : CSparseVGInferenceMethod
• m_ktrtr : CInferenceMethod
• m_ktrtr_diag : CSparseInferenceBase
• m_ktru : CSparseInferenceBase
• m_kuu : CSparseInferenceBase
• m_L : CGaussianDistribution , CInferenceMethod
• m_l1_penalty : ElasticNetPenalty
• m_l1_ratio : ElasticNetPenalty
• m_l2_penalty : ElasticNetPenalty
• m_lab : CVariationalLikelihood
• m_label : CSparseMultilabel
• m_label_epsilon : CCARTree
• m_label_prob : CGaussianNaiveBayes
• m_labels : CDenseLabels , CFeatureSelection< ST > , CInferenceMethod , CLatentLabels , CLatentModel , CMachine , CMachineEvaluation , CMultilabelLabels , CScatterKernelNormalizer , CSplittingStrategy , CStructuredLabels , CStructuredModel
• m_labels_feats : CDependenceMaximization
• m_lambda : CDualVariationalGaussianLikelihood , CMMDKernelSelectionCombOpt , CMMDKernelSelectionOpt , CSubsequenceStringKernel
• m_landmark : CMultidimensionalScaling
• m_landmark_number : CMultidimensionalScaling
• m_lasso_max_iter : CSparseInverseCovariance
• m_last_results : CMulticlassOVREvaluation
• m_latent_labels : CLatentLabels
• m_layer_sizes : CDeepBeliefNetwork
• m_layers : CNeuralNetwork
• m_learning_rate : CStochasticGBMachine , FirstOrderStochasticMinimizer
• m_leaves : CConditionalProbabilityTree , CVwConditionalProbabilityTree
• m_length : CIntronList
• m_length_scale : CPeriodicKernel
• m_length_x : TSGDataType
• m_length_y : TSGDataType
• m_liblinear_regression_type : CLibLinearRegression
• m_likelihood : CVariationalLikelihood
• m_lin_feat : CDynProg
• m_line_reader : CUAIFile
• m_line_tokenizer : CUAIFile
• m_linear_operator : CEigenSolver , COperatorFunction< T >
• m_linear_term : CLibLinear , CLibLinearMTL , CSVM
• m_linesearch : CKLInferenceMethod , LBFGSMinimizer
• m_local_gradients : CNeuralLayer
• m_lock : CSingleSparseInferenceBase
• m_log_det_Kernel : CKLLowerTriangularInferenceMethod
• m_log_ind_noise : CSparseInferenceBase
• m_log_scale : CInferenceMethod
• m_log_weights : CExponentialARDKernel
• m_log_width : CGaussianKernel
• m_long_transition_threshold : CDynProg
• m_long_transitions : CDynProg
• m_loss : CStochasticGBMachine
• m_loss_weights : CFactorGraphObservation
• m_lower_bound : CSingleSparseInferenceBase
• m_m : CKLInferenceMethod , CTwoSampleTest , LBFGSMinimizer
• m_machine : CBaggingMachine , CMachineEvaluation , CMulticlassMachine , CStochasticGBMachine , CTreeMachineNode< T >
• m_machine_eval : CModelSelection
• m_machine_for_confusion_matrix : CRelaxedTree
• m_machines : CBaseMulticlassMachine
• m_map_energy : CGraphCut
• m_mapping_fun : SMDMinimizer
• m_matrix : Block< Matrix >
• m_max_a_id : CDynProg
• m_max_attempt : CKLInferenceMethod
• m_max_depth : CCARTree
• m_max_eigenvalue : CEigenSolver
• m_max_evaluations : CGradientModelSelection
• m_max_ind_iterations : CSingleSparseInferenceBase
• m_max_indices : CNeuralConvolutionalLayer
• m_max_iter : CFeatureBlockLogisticRegression , CGEMPLP::Parameter , CLibLinearRegression , CLinearLatentMachine , CMulticlassLibLinear , CMulticlassLogisticRegression , CMulticlassOCAS , CMulticlassTreeGuidedLogisticRegression , CMultitaskLeastSquaresRegression , CMultitaskLogisticRegression , CSparseInverseCovariance
• m_max_iteration_limit : CIterativeLinearSolver< T, ST >
• m_max_iterations : CKLInferenceMethod , LBFGSMinimizer , NLOPTMinimizer
• m_max_linesearch : CKLInferenceMethod , LBFGSMinimizer
• m_max_num_iter : CRelaxedTree
• m_max_step : CKLInferenceMethod , LBFGSMinimizer
• m_max_train_time : CMachine
• m_maxiter : CECOCRandomDenseEncoder , CECOCRandomSparseEncoder
• m_maxlen : CSubsequenceStringKernel
• m_mean : CGaussian , CGaussianDistribution , CInferenceMethod , CPositionalPWM , CPruneVarSubMean
• m_mean_shift : CMeanShiftDataGenerator
• m_mean_vec : CKLLowerTriangularInferenceMethod
• m_mean_vector : CFisherLDA , CPCA
• m_means : CGaussianNaiveBayes
• m_mem_mode : CPCA
• m_method : CFisherLDA , CGaussianProcessMachine , CLDA , CMulticlassOCAS , CPCA
• m_min : CRescaleFeatures
• m_min_coeff_kernel : CKLInferenceMethod
• m_min_eigenvalue : CEigenSolver
• m_min_label : CGaussianNaiveBayes , CKNN
• m_min_node_size : CCARTree
• m_min_step : CKLInferenceMethod , LBFGSMinimizer
• m_mixing_matrix : CICAConverter
• m_mkl_weights : CCrossValidationMKLStorage
• m_mod_words : CDynProg , CGUIStructure
• m_mod_words_array : CDynProg
• m_mode : CCARTree , CPCA
• m_model : CInferenceMethod , CLinearLatentMachine , CStructuredOutputMachine
• m_model_parameters : CModelSelection
• m_model_selection_parameters : CSGObject
• m_momentum_correction : AdaptMomentumCorrection
• m_msgs_from_region : CGEMPLP
• m_msgs_into_intersections : CGEMPLP
• m_mu : CKLInferenceMethod , CLaplacianInferenceBase , CSparseInferenceBase , CVariationalGaussianLikelihood
• m_multi_index : CPolyFeatures
• m_multiclass_confidences : CMulticlassLabels
• m_multiclass_strategy : CMulticlassMachine
• m_multinomial_coefficients : CPolyFeatures
• m_my_losses : CDynProg
• m_my_pos_seq : CDynProg
• m_my_scores : CDynProg
• m_my_state_seq : CDynProg
• m_N : CContingencyTableEvaluation , CDynProg , TMultipleCPinfo
• m_name : CTask , Parameter , TParameter
• m_neg_pseudo : CPluginEstimate
• m_net_type : CUAIFile
• m_nlopt_algorithm : NLOPTMinimizer
• m_nlz : CMultiLaplacianInferenceMethod
• m_noise_factor : CKLInferenceMethod
• m_nominal : CCARTree
• m_norm_one : CBinnedDotFeatures
• m_normalization_values : CPolyFeatures , CSparsePolyFeatures
• m_normalize : CPolyFeatures , CSparsePolyFeatures
• m_normalizer : CScatterKernelNormalizer
• m_null_approximation_method : CHypothesisTest
• m_nullspace_shift : CLocallyLinearEmbedding
• m_num_assignments : CFactorType
• m_num_bags : CBaggingMachine
• m_num_classes : CCrossValidationMulticlassStorage , CGaussianNaiveBayes , CGMNPLib , CKNN , CMulticlassStrategy , CMultilabelLabels , CNearestCentroid , CRelaxedTree , CScatterSVM
• m_num_clusters : CMultitaskClusteredLogisticRegression
• m_num_data : CGMNPLib , CGNPPLib
• m_num_data_distance : CMMDKernelSelectionMedian
• m_num_degrees : CDynProg
• m_num_dim : CFisherLDA
• m_num_edges : CFactorGraph
• m_num_eigenvalues_spectrum : CQuadraticTimeMMD
• m_num_factors : CUAIFile
• m_num_folds : CCrossValidationOutput
• m_num_graph_results : CMulticlassOVREvaluation
• m_num_hidden : CRBM
• m_num_idx : CPruneVarSubMean
• m_num_inputs : CNeuralNetwork
• m_num_intron_plifs : CDynProg
• m_num_iter : CStochasticGBMachine
• m_num_labels : CMultilabelLabels
• m_num_layers : CDeepBeliefNetwork , CNeuralNetwork
• m_num_limits : CGUIStructure , CPlifMatrix
• m_num_lin_feat_plifs_cum : CDynProg
• m_num_machines : CMulticlassOneVsOneStrategy
• m_num_maps : CNeuralConvolutionalLayer
• m_num_neurons : CNeuralLayer
• m_num_null_samples : CHypothesisTest
• m_num_parameters : CNeuralLayer
• m_num_params : CDeepBeliefNetwork , CRBM
• m_num_passes : CConditionalProbabilityTree , CVwConditionalProbabilityTree , FirstOrderStochasticMinimizer
• m_num_plifs : CGUIStructure , CPlifMatrix
• m_num_positions : CGUIStructure
• m_num_probes_cum : CDynProg
• m_num_raw_data : CDynProg
• m_num_remove : CFeatureSelection< ST >
• m_num_rows : SparsityStructure
• m_num_runs : CCrossValidation , CCrossValidationOutput
• m_num_samples : CMulticlassOneVsOneStrategy , CTraceSampler
• m_num_samples_spectrum : CQuadraticTimeMMD
• m_num_segment_types : CSegmentLoss
• m_num_sgd_passes : SVRGMinimizer
• m_num_shifts : CRationalApproximation
• m_num_states : CGUIStructure , CPlifMatrix , CStateModel
• m_num_subsets : CSplittingStrategy
• m_num_svm_weights : CGUIStructure
• m_num_svms : CDynProg
• m_num_tasks : CMultitaskROCEvaluation
• m_num_transmission_params : CStateModel
• m_num_unique_words : CDynProg
• m_num_vars : CUAIFile
• m_num_virt_data : CGMNPLib
• m_num_visible : CRBM
• m_num_visible_groups : CRBM
• m_num_words : CDynProg
• m_num_words_array : CDynProg
• m_obj_del_thr : CGEMPLP::Parameter
• m_observation_matrix : CDynProg
• m_observed_state : CFactorGraphObservation
• m_oob_indices : CBaggingMachine
• m_opening : CLocalAlignmentStringKernel
• m_opt_epsilon : CMMDKernelSelectionComb
• m_opt_inducing_features : CSingleSparseInferenceBase
• m_opt_low_cut : CMMDKernelSelectionComb
• m_opt_max : CLaplacianInferenceBase , CSingleFITCLaplacianInferenceMethod
• m_opt_max_iterations : CMMDKernelSelectionComb
• m_opt_tolerance : CLaplacianInferenceBase , CSingleFITCLaplacianInferenceMethod
• m_orf_info : CDynProg , CGUIStructure
• m_orig_labels : CMulticlassStrategy
• m_orthantwise_c : CKLInferenceMethod , LBFGSMinimizer
• m_orthantwise_end : CKLInferenceMethod , LBFGSMinimizer
• m_orthantwise_start : CKLInferenceMethod , LBFGSMinimizer
• m_output_dimensions : CPolyFeatures , CSparsePolyFeatures
• m_output_height : CConvolutionalFeatureMap
• m_output_num_neurons : CConvolutionalFeatureMap
• m_output_width : CConvolutionalFeatureMap
• m_outputs : CMAPInference
• m_p : CIndependenceTest , CStateModel , PNormMappingFunction
• m_p_and_q : CTwoSampleTest
• m_param : CGEMPLP , CParameterCombination
• m_param_regularizable : CNeuralNetwork
• m_parameter : TParameter
• m_parameters : CSGObject
• m_parameters_length : CParameterCombination
• m_params : CDeepBeliefNetwork , CNeuralNetwork , CRBM , Parameter
• m_parent : CTreeMachineNode< T >
• m_parser : CUAIFile
• m_past : CKLInferenceMethod , LBFGSMinimizer
• m_PEN : CPlifMatrix
• m_penalty_type : FirstOrderMinimizer
• m_penalty_weight : FirstOrderMinimizer
• m_period : CPeriodicKernel
• m_plif_list : CDynProg
• m_plif_matrices : CDynProg
• m_plif_matrix : CGUIStructure , CPlifMatrix
• m_pnegone : CECOCRandomSparseEncoder
• m_poim : CPositionalPWM , CWeightedDegreePositionStringKernel
• m_poim_distrib : CWeightedDegreePositionStringKernel
• m_poim_num_feat : CWeightedDegreePositionStringKernel
• m_poim_num_sym : CWeightedDegreePositionStringKernel
• m_poim_result_len : CWeightedDegreePositionStringKernel
• m_policy : CFeatureSelection< ST >
• m_pooling_height : CNeuralConvolutionalLayer
• m_pooling_width : CNeuralConvolutionalLayer
• m_pos : CDynProg
• m_pos_pseudo : CPluginEstimate
• m_positions : CDynProg
• m_pposone : CECOCRandomDenseEncoder , CECOCRandomSparseEncoder
• m_PRC_graph : CPRCEvaluation
• m_precomputed_G : CIndexBlockTree
• m_precomputed_ind_t : CIndexBlockTree
• m_pred_labels : CCrossValidationMulticlassStorage
• m_previous_descend_direction : MomentumCorrection
• m_previous_variable : SVRGMinimizer
• m_prob_heuris : CMulticlassStrategy
• m_probe_pos : CDynProg
• m_Psi : CSingleFITCLaplacianInferenceMethod , CSingleLaplacianInferenceMethod
• m_ptr : SparsityStructure
• m_ptype : TSGDataType
• m_pwm : CPositionalPWM
• m_pzero : CECOCRandomSparseEncoder
• m_q : CFeatureBlockLogisticRegression , CIndependenceTest , CKNN
• m_Q : CMMDKernelSelectionComb
• m_q : CMultitaskLeastSquaresRegression , CMultitaskLogisticRegression , CStateModel , L1PenaltyForTG
• m_quality_list : CIntronList
• m_r : CFITCInferenceMethod
• m_radius_x : CConvolutionalFeatureMap , CNeuralConvolutionalLayer
• m_radius_y : CConvolutionalFeatureMap , CNeuralConvolutionalLayer
• m_range : CRescaleFeatures
• m_rate_max : AdaptMomentumCorrection
• m_rate_min : AdaptMomentumCorrection
• m_rates : CGaussianNaiveBayes
• m_ratio : CRandomSearchModelSelection
• m_raw_intensities : CDynProg
• m_reconstruction_shift : CLocallyLinearEmbedding
• m_reg_const : CGMNPLib , CGNPPLib
• m_region_inds_intersections : CGEMPLP
• m_region_intersections : CGEMPLP
• m_regularization : CFeatureBlockLogisticRegression , CMultitaskLeastSquaresRegression , CMultitaskLogisticRegression
• m_rejection_strategy : CMulticlassStrategy
• m_rejects_num : CMulticlassAccuracy
• m_relative_tolerence : CIterativeLinearSolver< T, ST >
• m_residuals : CIterativeLinearSolver< T, ST >
• m_result : CJobResultAggregator , CScalarResult< T > , CVectorResult< T >
• m_rho : CMultitaskTraceLogisticRegression
• m_rho1 : CMultitaskClusteredLogisticRegression , CMultitaskL12LogisticRegression::Self
• m_rho2 : CMultitaskClusteredLogisticRegression , CMultitaskL12LogisticRegression::Self
• m_rng : CCrossValidationSplitting , CStratifiedCrossValidationSplitting
• m_ROC_graph : CROCEvaluation
• m_root : CTreeMachine< T >
• m_root_block : CIndexBlockTree
• m_root_task : CTaskTree
• m_rounding_epsilon : L1Penalty
• m_row_begin : Block< Matrix >
• m_row_offset : CConvolutionalFeatureMap
• m_row_size : Block< Matrix >
• m_row_subset_stack : CCustomKernel
• m_Rvdd : CSingleFITCLaplacianBase
• m_s2 : CKLInferenceMethod , CVariationalGaussianLikelihood
• m_samples : CFactorGraphFeatures , CLatentFeatures
• m_save_train_state : CMulticlassLibLinear
• m_scores : CDynProg
• m_sdt : CStructuredLabels
• m_seg_loss_obj : CDynProg
• m_segment_ids : CDynProg , CSegmentLoss
• m_segment_loss : CDynProg , CSegmentLoss
• m_segment_loss_matrix : CSegmentLoss
• m_segment_mask : CDynProg , CSegmentLoss
• m_segment_sum_weights : CDynProg
• m_seq_len : CDynProg
• m_seq_sparse1 : CDynProg
• m_seq_sparse2 : CDynProg
• m_sgvector_float64_map : CMinimizerContext
• m_shifts : CRationalApproximation
• m_shrinking : CNearestCentroid
• m_sigma : CCauchyKernel , CDeepAutoencoder , CDeepBeliefNetwork
• m_Sigma : CKLInferenceMethod , CLaplacianInferenceBase
• m_sigma : CPositionalPWM
• m_Sigma : CSparseInferenceBase
• m_sigma2 : CSparseVGInferenceMethod
• m_sign_words : CDynProg
• m_sign_words_array : CDynProg
• m_simulate_h0 : CStreamingMMD
• m_slope : InverseScalingLearningRate
• m_solver : CQPBSVMLib
• m_solver_type : CMachine
• m_source_bias : CDomainAdaptationMulticlassLibLinear
• m_source_machine : CDomainAdaptationMulticlassLibLinear
• m_splitting_strategy : CMachineEvaluation
• m_sq_lhs : CPeriodicKernel
• m_sq_rhs : CPeriodicKernel
• m_sqrt_num_blobs : CGaussianBlobsDataGenerator
• m_start_index : CNeuralInputLayer
• m_state_loss_mat : CStateModel
• m_state_signals : CPlifMatrix
• m_states : CDeepBeliefNetwork , CDynProg
• m_statistic_type : CQuadraticTimeMMD
• m_std : CPruneVarSubMean
• m_store_model_features : CMachine
• m_store_residuals : CIterativeLinearSolver< T, ST >
• m_str_len : CSNPStringKernel
• m_str_maj : CSNPFeatures , CSNPStringKernel
• m_str_min : CSNPFeatures , CSNPStringKernel
• m_streaming_p : CStreamingMMD
• m_streaming_q : CStreamingMMD
• m_stretch : CGaussianBlobsDataGenerator
• m_strict_scale : CDualVariationalGaussianLikelihood
• m_stride_x : CConvolutionalFeatureMap , CNeuralConvolutionalLayer
• m_stride_y : CConvolutionalFeatureMap , CNeuralConvolutionalLayer
• m_string_words : CDynProg
• m_string_words_array : CDynProg
• m_stype : TSGDataType
• m_subset : CFeatureSelection< ST >
• m_subset_frac : CStochasticGBMachine
• m_subset_indices : CSplittingStrategy
• m_subset_stack : CFeatures , CLabels
• m_subtasks : CTask
• m_surrogate_loss : CStructuredOutputMachine
• m_svm_arrays_clean : CDynProg
• m_svm_C : CRelaxedTree
• m_svm_epsilon : CRelaxedTree
• m_svrg_interval : SVRGMinimizer
• m_svs : CKernelMachine
• m_sW : CSingleFITCLaplacianInferenceMethod , CSingleLaplacianInferenceMethod
• m_t : CDiffusionMaps , CSingleFITCLaplacianBase
• m_target_dim : CDimensionReductionPreprocessor , CEmbeddingConverter , CFeatureSelection< ST >
• m_target_variable : LBFGSMinimizer , NLOPTMinimizer
• m_task : CSerializableFile
• m_task_relation : CMultitaskLinearMachine , CMultitaskROCEvaluation
• m_tasks : CTaskGroup
• m_tasks_c : CMultitaskLinearMachine
• m_tasks_indices : CMultitaskLinearMachine , CMultitaskROCEvaluation
• m_tasks_w : CMultitaskLinearMachine
• m_tau : CLaplacianEigenmaps , CLinearRidgeRegression
• m_termination : CFeatureBlockLogisticRegression , CMultitaskLeastSquaresRegression , CMultitaskLogisticRegression
• m_test_indices : CKernelMeanMatching
• m_testing_class : CScatterKernelNormalizer
• m_theta : CDistantSegmentsKernel , CWaveKernel
• m_theta_region : CGEMPLP
• m_thresh : CPCA
• m_threshold : CFisherLDA , CThresholdRejectionStrategy
• m_thresholds : CPRCEvaluation , CROCEvaluation
• m_tmax : CQPBSVMLib
• m_Tmm : CSparseVGInferenceMethod
• m_TN : CContingencyTableEvaluation
• m_Tnm : CSparseVGInferenceMethod
• m_tokenizer : CUAIFile
• m_tolabs : CQPBSVMLib
• m_tolerance : CFeatureBlockLogisticRegression , CLaplacianInferenceBase , CMultitaskLeastSquaresRegression , CMultitaskLogisticRegression , CSingleFITCLaplacianInferenceMethod
• m_tolKKT : CQPBSVMLib
• m_tolrel : CQPBSVMLib
• m_total_num_parameters : CNeuralNetwork
• m_TP : CContingencyTableEvaluation
• m_train_factor : CDomainAdaptationMulticlassLibLinear
• m_train_iter : CMulticlassStrategy
• m_train_labels : CKNN , CMulticlassStrategy
• m_train_pair_idx_1 : CMulticlassOneVsOneStrategy
• m_train_pair_idx_2 : CMulticlassOneVsOneStrategy
• m_train_state : CMulticlassLibLinear
• m_training_indices : CKernelMeanMatching
• m_transformation_matrix : CFisherLDA , CKernelPCA , CPCA
• m_transition_matrix_a : CDynProg
• m_transition_matrix_a_deriv : CDynProg
• m_transition_matrix_a_id : CDynProg
• m_trk : CSparseVGInferenceMethod
• m_true_labels : CCrossValidationMulticlassStorage
• m_tube_epsilon : CLibLinearRegression
• m_type : CContingencyTableEvaluation , CKernelNormalizer
• m_type_id : CFactorType
• m_types_set : CCARTree
• m_u : CGaussian
• m_U : CMultiLaplacianInferenceMethod
• m_u : L1PenaltyForTG
• m_UB : CQPBSVMLib
• m_ui : CGUIConverter
• m_upper_bound : CSingleSparseInferenceBase
• m_use_bias : CLibLinearRegression , CMulticlassLibLinear
• m_use_covertree : CKNN
• m_use_orf : CGUIStructure
• m_V : CApproxJointDiagonalizer , CSingleFITCLaplacianBase
• m_var_index : CFactor
• m_variable_tolerance : NLOPTMinimizer
• m_variances : CGaussianNaiveBayes
• m_vars_card : CUAIFile
• m_vec_id : CNbodyTree
• m_vector_y : CGMNPLib , CGNPPLib
• m_verbose : CFactorGraphModel , CStructuredOutputMachine
• m_visible_group_sizes : CRBM
• m_visible_group_types : CRBM
• m_visible_state_offsets : CRBM
• m_visible_units_type : CDeepBeliefNetwork
• m_w : CFactorType
• m_W : CLaplacianInferenceBase
• m_w : CLinearStructuredOutputMachine , CPositionalPWM , CSingleFITCLaplacianBase
• m_W : CSingleFITCLaplacianInferenceMethod
• m_w_cache : CFactorGraphModel
• m_w_map : CFactorGraphModel
• m_weak_learners : CStochasticGBMachine
• m_weight : CTask , DescendCorrection
• m_weights : CCARTree , CRationalApproximation , CWeightedMajorityVote
• m_weights_cols : CExponentialARDKernel
• m_weights_index_offsets : CDeepBeliefNetwork
• m_weights_raw : CExponentialARDKernel
• m_weights_rows : CExponentialARDKernel
• m_weights_set : CCARTree
• m_whitening : CPCA
• m_width : CDiffusionMaps , CExponentialKernel , CNeuralLayer
• m_win_len : CSNPStringKernel
• m_Wneg : CSingleFITCLaplacianInferenceMethod
• m_wolfe : CKLInferenceMethod , LBFGSMinimizer
• m_word_degree : CDynProg
• m_wordstr : CDynProg
• m_x_gap : CSparseInverseCovariance
• m_xtol : CKLInferenceMethod , CSparseInverseCovariance , LBFGSMinimizer
• m_xval_outputs : CCrossValidation
• m_yy : CSparseVGInferenceMethod
• m_z : CFeatureBlockLogisticRegression , CMulticlassLogisticRegression , CMulticlassTreeGuidedLogisticRegression , CMultitaskLeastSquaresRegression , CMultitaskLogisticRegression
• m_Z : CSingleLaplacianInferenceMethod
• machine() : CTreeMachineNode< T >
• MACHINE_EPSILON : CMath
• MACHINE_PROBLEM_TYPE() : CAveragedPerceptron , CGaussianProcessClassification , CGaussianProcessRegression , CHierarchical , CKernelRidgeRegression , CLDA , CLeastAngleRegression , CLeastSquaresRegression , CLibSVR , CLinearLatentMachine , CLinearRidgeRegression , CLPBoost , CLPM , CMKLRegression , CMulticlassSVM , CNearestCentroid , CNewtonSVM , COnlineLibLinear , COnlineSVMSGD , CPerceptron , CPluginEstimate , CSGDQN , CStructuredOutputMachine , CSVM , CSVMLin , CSVMOcas , CSVMSGD , CSVRLight , CVowpalWabbit , CWDSVMOcas
• make_sets() : CDisjointSet
• MapMatrixXt : sin< T >
• maptable_to_bin : CAlphabet
• maptable_to_char : CAlphabet
• MAPTABLE_UNDEF : CAlphabet
• MapVectorXt : sin< T >
• marginalized_train() : CGUIPluginEstimate
• mask : CHashedWDFeatures , CHashedWDFeaturesTransposed , CSparsePolyFeatures , CVwEnvironment
• matrix : SGMatrix< T >
• matrix_list : SGMatrixList< T >
• matrix_mean() : CStatistics
• matrix_median() : CStatistics
• matrix_multiply() : SGMatrix< T >
• matrix_std_deviation() : CStatistics
• matrix_variance() : CStatistics
• MatrixXt : add< Backend::EIGEN3, Matrix > , colwise_sum< Backend::EIGEN3, Matrix > , convolve< Backend::EIGEN3, Matrix > , elementwise_product< Backend::EIGEN3, Matrix > , elementwise_square< Backend::EIGEN3, Matrix > , matrix_product< Backend::EIGEN3, Matrix > , max< Backend::EIGEN3, Matrix > , rowwise_sum< Backend::EIGEN3, Matrix > , scale< Backend::EIGEN3, Matrix > , set_rows_const< Backend::EIGEN3, Matrix, Vector > , cross_entropy< Backend::EIGEN3, Matrix > , softmax< Backend::EIGEN3, Matrix > , squared_error< Backend::EIGEN3, Matrix > , sum< Backend::EIGEN3, Matrix > , sum_symmetric< Backend::EIGEN3, Matrix > , sin< T >
• max() : CMath
• max_dist : node< P >
• max_dist_dual() : CNbodyTree
• max_element() : SGNDArray< T >
• max_in_subdimension() : CGEMPLP
• max_iter : CAveragedPerceptron , CICAConverter , CPerceptron
• max_iterations : CLibLinear , CLibLinearMTL , lbfgs_parameter_t
• max_label : CVwEnvironment
• max_likelihood() : CGMM
• max_linesearch : lbfgs_parameter_t
• max_mismatch : CSpectrumMismatchRBFKernel , CSpectrumRBFKernel , CWeightedDegreePositionStringKernel , CWeightedDegreeStringKernel
• max_norm : CNeuralNetwork
• max_num_epochs : CDeepBeliefNetwork , CNeuralNetwork , CRBM
• max_num_mkl_iters : CMKLMulticlass
• MAX_REAL_NUMBER : CMath
• max_sequence_length : CSpectrumRBFKernel
• max_shift : CGaussianShiftKernel , CWeightedDegreePositionStringKernel
• max_single() : SGMatrix< T >
• max_step : lbfgs_parameter_t
• max_string_length : CStringFeatures< ST > , SGStringList< T >
• max_train_time : CGUIClassifier
• max_value : CPlif , CPlifArray
• maxCPs : ICP_stats
• maximization_step() : CEMBase< T > , CEMMixtureModel
• Maybe() : Maybe< T >
• MD5() : CHash
• MD5Final() : CHash
• MD5Init() : CHash
• MD5Transform() : CHash
• MD5Update() : CHash
• mean : CCrossValidationResult , CHistogramWordStringKernel , CMahalanobisDistance , CSalzbergWordStringKernel , CStatistics
• mean_hidden() : CRBM
• mean_visible() : CRBM
• meandiff : CVarianceKernelNormalizer
• median() : CStatistics
• merge_dictionaries() : CCommUlongStringKernel
• merge_distance : CHierarchical
• merge_normal() : CWeightedCommWordStringKernel
• merge_with() : CParameterCombination
• merges : CHierarchical
• message() : SGIO
• message_strings : SGIO
• message_strings_highlighted : SGIO
• method : CSVMOcas , CWDSVMOcas
• min() : CMath
• min_dist() : CNbodyTree
• min_dist_dual() : CNbodyTree
• min_label : CVwEnvironment
• min_max_dist() : CNbodyTree
• MIN_REAL_NUMBER : CMath
• MIN_SPLIT_GAIN : CCARTree
• min_step : lbfgs_parameter_t
• min_value : CPlif , CPlifArray
• minibatch_KMeans() : CKMeansMiniBatchImpl
• minimize() : FirstOrderMinimizer , FirstOrderStochasticMinimizer , LBFGSMinimizer , NLOPTMinimizer , SGDMinimizer , SMDMinimizer , SMIDASMinimizer , SVRGMinimizer
• MISSING : CC45ClassifierTree , CCARTree , CCHAIDTree
• MixModelData() : MixModelData
• mkl : CSVM
• mkl_block_norm : CGUIClassifier , CMKL
• mkl_converged : CSVMLight
• mkl_eps : CMKLMulticlass
• mkl_epsilon : CMKL
• mkl_iterations : CMKL
• mkl_norm : CGUIClassifier , CMKL
• mkl_stepsize : CWeightedDegreePositionStringKernel , CWeightedDegreeStringKernel
• mkl_use_interleaved : CGUIClassifier
• MKLMulticlassGLPK() : MKLMulticlassGLPK
• MKLMulticlassGradient() : MKLMulticlassGradient
• MKLMulticlassOptimizationBase() : MKLMulticlassOptimizationBase
• mod_prob : CHMM
• mod_prob_updated : CHMM
• mod_words_default : CDynProg
• model : CGPBTSVM , CHMM , CLibSVM , CLibSVMOneClass , CLibSVR , CMulticlassLibSVM , CScatterSVM , CSVMLight
• Model() : Model
• model_b : CSVMLight
• model_derivative_a() : CHMM
• model_derivative_b() : CHMM
• model_derivative_p() : CHMM
• model_derivative_q() : CHMM
• model_probability() : CHMM
• model_probability_comp() : CHMM
• MomentumCorrection() : MomentumCorrection
• monitoring_interval : CDeepBeliefNetwork , CRBM
• monitoring_method : CRBM
• MotherWavelet() : CWaveletKernel
• motif_positions_lhs : CRegulatoryModulesStringKernel
• motif_positions_rhs : CRegulatoryModulesStringKernel
• msvm_full_add_new_cut() : CMulticlassOCAS
• msvm_full_compute_output() : CMulticlassOCAS
• msvm_full_compute_W() : CMulticlassOCAS
• msvm_print() : CMulticlassOCAS
• msvm_sort_data() : CMulticlassOCAS
• msvm_update_W() : CMulticlassOCAS
• mu : RelaxedTreeNodeData
• multi_state_tree_graph() : CFactorGraphDataGenerator
• multinomialcoef() : CPolyFeatures
• Munkres() : Munkres
• MurmurHash3() : CHash
• MurmurHashString() : CHash
• mutual_info() : CStatistics
• mymaxdiff : CSVMLight