List of all items
Structs
- adversarial::AdversarialConfig
- adversarial::AdversarialMultiTaskNetwork
- adversarial::AdversarialMultiTaskNetworkTrained
- adversarial::GradientReversalConfig
- adversarial::TaskDiscriminator
- chains::BayesianClassifierChain
- chains::BayesianClassifierChainTrained
- chains::ClassifierChain
- chains::ClassifierChainTrained
- chains::EnsembleOfChains
- chains::EnsembleOfChainsTrained
- chains::RegressorChain
- chains::RegressorChainTrained
- classification::CalibratedBinaryRelevance
- classification::CalibratedBinaryRelevanceTrained
- classification::CostMatrix
- classification::CostSensitiveBinaryRelevance
- classification::CostSensitiveBinaryRelevanceTrained
- classification::MLkNN
- classification::MLkNNTrained
- classification::RandomLabelCombinations
- classification::SimpleBinaryModel
- core::MultiOutputClassifier
- core::MultiOutputClassifierTrained
- core::MultiOutputRegressor
- core::MultiOutputRegressorTrained
- correlation::CITestResult
- correlation::CITestResults
- correlation::ConditionalIndependenceTester
- correlation::ConditionalMeasure
- correlation::CopulaAnalysis
- correlation::CopulaBasedModelingAnalyzer
- correlation::CopulaModel
- correlation::CorrelationAnalysis
- correlation::DependenceMeasures
- correlation::DependencyGraph
- correlation::DependencyGraphBuilder
- correlation::EmpiricalCopula
- correlation::GoodnessOfFit
- correlation::GraphStatistics
- correlation::MarginalDistribution
- correlation::OutputCorrelationAnalyzer
- correlation::TailDependence
- ensemble::GradientBoostingMultiOutput
- ensemble::GradientBoostingMultiOutputTrained
- ensemble::WeakLearner
- hierarchical::CostSensitiveHierarchicalClassifier
- hierarchical::CostSensitiveHierarchicalClassifierTrained
- hierarchical::GraphNeuralNetwork
- hierarchical::GraphNeuralNetworkTrained
- hierarchical::OntologyAwareClassifier
- hierarchical::OntologyAwareClassifierTrained
- label_analysis::CombinationInfo
- label_analysis::LabelAnalysisResults
- metrics::ConfidenceInterval
- metrics::PerLabelMetrics
- metrics::StatisticalTestResult
- mlp::MultiOutputMLP
- mlp::MultiOutputMLPTrained
- multi_label::BinaryRelevance
- multi_label::BinaryRelevanceTrained
- multi_label::LabelPowerset
- multi_label::LabelPowersetTrained
- multi_label::OneVsRestClassifier
- multi_label::OneVsRestClassifierTrained
- multi_label::PrunedLabelPowerset
- multi_label::PrunedLabelPowersetTrained
- multitask::MultiTaskNeuralNetwork
- multitask::MultiTaskNeuralNetworkTrained
- neighbors::IBLR
- neighbors::IBLRTrained
- optimization::evolutionary_multi_objective::GenerationStats
- optimization::evolutionary_multi_objective::Individual
- optimization::evolutionary_multi_objective::NSGAII
- optimization::evolutionary_multi_objective::OptimizationResult
- optimization::joint_loss_optimization::JointLossConfig
- optimization::joint_loss_optimization::JointLossOptimizer
- optimization::joint_loss_optimization::JointLossOptimizerTrained
- optimization::multi_objective_optimization::MultiObjectiveConfig
- optimization::multi_objective_optimization::MultiObjectiveOptimizer
- optimization::multi_objective_optimization::MultiObjectiveOptimizerTrained
- optimization::multi_objective_optimization::ParetoSolution
- optimization::nsga2_algorithms::NSGA2Config
- optimization::nsga2_algorithms::NSGA2Optimizer
- optimization::nsga2_algorithms::NSGA2OptimizerTrained
- optimization::scalarization_methods::ScalarizationConfig
- optimization::scalarization_methods::ScalarizationOptimizer
- optimization::scalarization_methods::ScalarizationOptimizerTrained
- performance::EarlyStopping
- performance::EarlyStoppingConfig
- performance::PredictionCache
- performance::WarmStartRegressor
- performance::WarmStartRegressorConfig
- performance::WarmStartRegressorTrained
- probabilistic::types::Axis
- probabilistic::types::BayesianMultiOutputConfig
- probabilistic::types::BayesianMultiOutputModel
- probabilistic::types::BayesianMultiOutputModelTrained
- probabilistic::types::EnsembleBayesianConfig
- probabilistic::types::EnsembleBayesianModel
- probabilistic::types::EnsembleBayesianModelTrained
- probabilistic::types::GaussianProcessMultiOutput
- probabilistic::types::GaussianProcessMultiOutputTrained
- probabilistic::types::PhantomData
- probabilistic::types::PosteriorDistribution
- probabilistic::types::PredictionWithUncertainty
- probabilistic::types::RandNormal
- probabilistic::types::Untrained
- ranking::BinaryClassifierModel
- ranking::IndependentLabelPrediction
- ranking::IndependentLabelPredictionTrained
- recurrent::RecurrentNeuralNetwork
- recurrent::RecurrentNeuralNetworkTrained
- regularization::MultiTaskElasticNet
- regularization::MultiTaskElasticNetTrained
- regularization::group_lasso::GroupLasso
- regularization::group_lasso::GroupLassoTrained
- regularization::meta_learning::MetaLearningMultiTask
- regularization::meta_learning::MetaLearningMultiTaskTrained
- regularization::nuclear_norm::NuclearNormRegression
- regularization::nuclear_norm::NuclearNormRegressionTrained
- regularization::task_clustering::TaskClusteringRegressionTrained
- regularization::task_clustering::TaskClusteringRegularization
- regularization::task_relationship::TaskRelationshipLearning
- regularization::task_relationship::TaskRelationshipLearningTrained
- sequence::FeatureFunction
- sequence::HiddenMarkovModel
- sequence::HiddenMarkovModelTrained
- sequence::MaximumEntropyMarkovModel
- sequence::MaximumEntropyMarkovModelTrained
- sequence::StructuredPerceptron
- sequence::StructuredPerceptronTrained
- sparse_storage::CSRMatrix
- sparse_storage::MemoryUsage
- sparse_storage::SparseMultiOutput
- sparse_storage::SparseMultiOutputTrained
- sparse_storage::SparsityAnalysis
- sparse_storage::StorageRecommendation
- streaming::IncrementalMultiOutputRegression
- streaming::IncrementalMultiOutputRegressionConfig
- streaming::IncrementalMultiOutputRegressionTrained
- streaming::StreamingMultiOutput
- streaming::StreamingMultiOutputConfig
- streaming::StreamingMultiOutputTrained
- svm::MLTSVM
- svm::MLTSVMTrained
- svm::MultiOutputSVM
- svm::MultiOutputSVMTrained
- svm::RankSVM
- svm::RankSVMTrained
- svm::RankingSVMModel
- svm::SVMModel
- svm::TwinSVMModel
- transfer_learning::ContinualLearning
- transfer_learning::ContinualLearningTrained
- transfer_learning::CrossTaskTransferLearning
- transfer_learning::CrossTaskTransferLearningTrained
- transfer_learning::DomainAdaptation
- transfer_learning::DomainAdaptationTrained
- transfer_learning::KnowledgeDistillation
- transfer_learning::KnowledgeDistillationTrained
- transfer_learning::ProgressiveTransferLearning
- transfer_learning::ProgressiveTransferLearningTrained
- tree::ClassificationDecisionNode
- tree::MultiTargetDecisionTreeClassifier
- tree::MultiTargetDecisionTreeClassifierTrained
- tree::MultiTargetRegressionTree
- tree::MultiTargetRegressionTreeTrained
- tree::RandomForestMultiOutput
- tree::RandomForestMultiOutputTrained
- tree::TreeStructuredPredictor
- tree::TreeStructuredPredictorTrained
- utilities::CLARE
- utilities::CLARETrained
- utils::BayesianBinaryModel
- utils::CostMatrix
- utils::SimpleBinaryModel
- utils::SimpleLinearClassifier
Enums
- activation::ActivationFunction
- adversarial::AdversarialStrategy
- adversarial::LambdaSchedule
- chains::ChainMethod
- classification::CalibrationMethod
- classification::DistanceMetric
- correlation::CITestMethod
- correlation::CopulaParameters
- correlation::CopulaType
- correlation::CorrelationType
- correlation::DependencyMethod
- hierarchical::AggregationFunction
- hierarchical::ConsistencyEnforcement
- hierarchical::CostStrategy
- hierarchical::MessagePassingVariant
- loss::LossFunction
- multi_label::PruningStrategy
- multitask::TaskBalancing
- neighbors::WeightFunction
- optimization::joint_loss_optimization::LossCombination
- optimization::joint_loss_optimization::LossFunction
- optimization::nsga2_algorithms::NSGA2Algorithm
- optimization::scalarization_methods::ScalarizationMethod
- probabilistic::types::EnsembleStrategy
- probabilistic::types::InferenceMethod
- probabilistic::types::KernelFunction
- probabilistic::types::PriorDistribution
- probabilistic::types::SklearsError
- ranking::ThresholdStrategy
- recurrent::CellType
- recurrent::SequenceMode
- regularization::RegularizationStrategy
- regularization::task_relationship::TaskSimilarityMethod
- sequence::FeatureType
- svm::SVMKernel
- svm::ThresholdStrategy
- tree::ClassificationCriterion
- tree::DAGInferenceMethod
- utils::CalibrationMethod
- utils::ClassificationCriterion
- utils::PruningStrategy
- utils::ReconstructionMethod
- utils::ThresholdStrategy
Traits
- probabilistic::functions::ArrayDeterminant
- probabilistic::functions::ArrayInverse
- probabilistic::types::Estimator
- probabilistic::types::Fit
- probabilistic::types::Predict
- probabilistic::types::Rng
- probabilistic::types::RngExt
Macros
Functions
- label_analysis::analyze_combinations
- label_analysis::find_singleton_labels
- label_analysis::get_combinations_by_cardinality
- label_analysis::get_rare_combinations
- label_analysis::label_cooccurrence_matrix
- label_analysis::label_correlation_matrix
- label_analysis::label_frequency_distribution
- metrics::average_precision_score
- metrics::confidence_interval
- metrics::coverage_error
- metrics::f1_score
- metrics::hamming_loss
- metrics::jaccard_score
- metrics::label_ranking_average_precision
- metrics::mcnemar_test
- metrics::one_error
- metrics::paired_t_test
- metrics::per_label_metrics
- metrics::precision_score_micro
- metrics::ranking_loss
- metrics::recall_score_micro
- metrics::subset_accuracy
- metrics::wilcoxon_signed_rank_test
- probabilistic::types::thread_rng
- regularization::simd_ops::simd_coefficient_update
- regularization::simd_ops::simd_dot_product
- regularization::simd_ops::simd_frobenius_norm
- regularization::simd_ops::simd_group_norm
- regularization::simd_ops::simd_l1_norm
- regularization::simd_ops::simd_l2_norm
- regularization::simd_ops::simd_max_change
- regularization::simd_ops::simd_nuclear_norm_penalty
- regularization::simd_ops::simd_residuals
- regularization::simd_ops::simd_soft_threshold
- regularization::simd_ops::simd_task_similarity
- regularization::simd_ops::simd_trace
- sparse_storage::sparse_utils::analyze_output_sparsity
- sparse_storage::sparse_utils::recommend_sparse_storage
- tree::build_classification_tree
- tree::calculate_classification_metrics
- tree::predict_classification_probabilities
- tree::predict_classification_sample
- utils::compute_cost_sensitive_weights
- utils::euclidean_distance
- utils::generate_random_projection_matrix
- utils::iterative_thresholding_reconstruction
- utils::omp_reconstruction
- utils::predict_bayesian_binary
- utils::predict_bayesian_mean
- utils::predict_bayesian_uncertainty
- utils::predict_binary_probabilities
- utils::predict_simple_linear
- utils::random_normal
- utils::reconstruct_labels
- utils::solve_least_squares_subset
- utils::solve_linear_system
- utils::standardize_features_simple
- utils::train_bayesian_binary_classifier
- utils::train_binary_classifier
- utils::train_simple_linear_classifier
- utils::train_weighted_binary_classifier_simple