- m -

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_EPSILON : CMath
maptable_to_bin : CAlphabet
maptable_to_char : CAlphabet
MAPTABLE_UNDEF : CAlphabet
mask : CHashedWDFeatures , CHashedWDFeaturesTransposed , CSparsePolyFeatures , CVwEnvironment
matrix : SGMatrix< T >
matrix_list : SGMatrixList< T >
max_dist : node< P >
max_iter : CAveragedPerceptron , CICAConverter , CPerceptron
max_iterations : CLibLinear , CLibLinearMTL , lbfgs_parameter_t
max_label : CVwEnvironment
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_step : lbfgs_parameter_t
max_string_length : CStringFeatures< ST > , SGStringList< T >
max_train_time : CGUIClassifier
max_value : CPlif , CPlifArray
maxCPs : ICP_stats
mean : CCrossValidationResult , CHistogramWordStringKernel , CMahalanobisDistance , CSalzbergWordStringKernel
meandiff : CVarianceKernelNormalizer
merge_distance : CHierarchical
merges : CHierarchical
message_strings : SGIO
message_strings_highlighted : SGIO
method : CSVMOcas , CWDSVMOcas
min_label : CVwEnvironment
MIN_REAL_NUMBER : CMath
MIN_SPLIT_GAIN : CCARTree
min_step : lbfgs_parameter_t
min_value : CPlif , CPlifArray
MISSING : CC45ClassifierTree , CCARTree , CCHAIDTree
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
mod_prob : CHMM
mod_prob_updated : CHMM
mod_words_default : CDynProg
model : CGPBTSVM , CHMM , CLibSVM , CLibSVMOneClass , CLibSVR , CMulticlassLibSVM , CScatterSVM , CSVMLight
model_b : CSVMLight
monitoring_interval : CDeepBeliefNetwork , CRBM
monitoring_method : CRBM
motif_positions_lhs : CRegulatoryModulesStringKernel
motif_positions_rhs : CRegulatoryModulesStringKernel
mu : RelaxedTreeNodeData
mymaxdiff : CSVMLight