Index

_

__call__() (ClassifierFromVar method) (Orange.associate.AssociationRulesInducer method) (Orange.associate.AssociationRulesSparseInducer method) (Orange.classification.Classifier method) (Orange.classification.ConstantClassifier method) (Orange.classification.Learner method) (Orange.classification.bayes.NaiveClassifier method) (Orange.classification.bayes.NaiveLearner method) (Orange.classification.knn.FindNearest method) (Orange.classification.knn.FindNearestConstructor method) (Orange.classification.knn.kNNClassifier method) (Orange.classification.knn.kNNLearner method) (Orange.classification.logreg.LogRegClassifier method) (Orange.classification.logreg.LogRegFitter method) (Orange.classification.logreg.LogRegLearner method) (Orange.classification.rules.CN2Classifier method) (Orange.classification.rules.CN2UnorderedClassifier method) (Orange.classification.rules.Orange.classification.rules.BeamFinder method) (Orange.classification.rules.Orange.classification.rules.Evaluator method) (Orange.classification.rules.Orange.classification.rules.Finder method) (Orange.classification.rules.Orange.classification.rules.Rule method) , [] (Orange.classification.svm.RFE method) (Orange.classification.svm.SVMLearner method) (Orange.classification.svm.kernels.AdditionKernelWrapper method) (Orange.classification.svm.kernels.CompositeKernelWrapper method) (Orange.classification.svm.kernels.MultiplicationKernelWrapper method) (Orange.classification.svm.kernels.PolyKernelWrapper method) (Orange.classification.svm.kernels.RBFKernelWrapper method) (Orange.classification.svm.kernels.SparseLinKernel method) (Orange.classification.tree.C45Classifier method) (Orange.classification.tree.Descender method) (Orange.classification.tree.Pruner method) (Orange.classification.tree.SplitConstructor method) (Orange.classification.tree.Splitter method) (Orange.classification.tree.StopCriteria method) (Orange.classification.tree.TreeClassifier method) (Orange.classification.tree.TreeLearner method) (Orange.clustering.hierarchical.HierarchicalClustering method) (Orange.clustering.kmeans.Clustering method) (Orange.clustering.kmeans.init_hclustering method) (Orange.data.filter.Filter method) , [] (Orange.data.sample.SubsetIndices method) , [] (Orange.distance.Distance method) (Orange.distance.DistanceConstructor method) (Orange.distance.MahalanobisDistance method) (Orange.distance.PearsonRDistance method) (Orange.distance.SpearmanRDistance method) (Orange.ensemble.bagging.BaggedClassifier method) (Orange.ensemble.bagging.BaggedLearner method) (Orange.ensemble.boosting.BoostedClassifier method) (Orange.ensemble.boosting.BoostedLearner method) (Orange.ensemble.forest.RandomForestClassifier method) (Orange.ensemble.forest.RandomForestLearner method) (Orange.ensemble.forest.ScoreFeature method) (Orange.feature.Descriptor method) (Orange.feature.discretization.Discretization method) (Orange.feature.imputation.ImputeClassifier method) (Orange.feature.scoring.OrderAttributes method) (Orange.feature.scoring.Score method) , [], [], [] (Orange.feature.selection.FilterAboveThreshold method) (Orange.misc.Random method) (Orange.multilabel.BRkNNClassifier method) (Orange.multilabel.BinaryRelevanceClassifier method) (Orange.multilabel.LabelPowersetClassifier method) (Orange.multilabel.MLkNNClassifier method) (Orange.multitarget.MultitargetClassifier method) (Orange.multitarget.MultitargetLearner method) (Orange.multitarget.tree.MultiTree method) (Orange.multitarget.tree.MultiTreeLearner method) (Orange.multitarget.tree.MultitargetVariance method) (Orange.projection.linear.Fda method) (Orange.projection.linear.FreeViz method) (Orange.projection.linear.PCA method) (Orange.projection.linear.Projector method) (Orange.projection.som.SOMMap method) (Orange.projection.som.Solver method) (Orange.regression.lasso.LassoRegression method) (Orange.regression.lasso.LassoRegressionLearner method) (Orange.regression.linear.LinearRegression method) (Orange.regression.linear.LinearRegressionLearner method) (Orange.regression.pls.PLSRegression method) (Orange.regression.pls.PLSRegressionLearner method) (Orange.regression.tree.TreeClassifier method) (Orange.regression.tree.TreeLearner method) (Orange.statistics.estimate.ConditionalByRows method) (Orange.statistics.estimate.ConditionalEstimator method) (Orange.statistics.estimate.ConditionalEstimatorByRows method) (Orange.statistics.estimate.ConditionalEstimatorConstructor method) (Orange.statistics.estimate.ConditionalEstimatorFromDistribution method) (Orange.statistics.estimate.Estimator method) (Orange.statistics.estimate.EstimatorConstructor method) (Orange.statistics.estimate.EstimatorFromDistribution method) (Orange.utils.ConsoleProgressBar method) __getitem__() (Orange.clustering.hierarchical.HierarchicalCluster method) (Orange.projection.som.Map method) (Orange.projection.som.SOMMap method) __init__() (Orange.associate.AssociationRule method) , [], [] (Orange.classification.ConstantClassifier method) (Orange.classification.logreg.LibLinearLogRegLearner method) (Orange.classification.svm.LinearSVMLearner method) (Orange.classification.svm.MultiClassSVMLearner method) (Orange.classification.svm.RFE method) (Orange.classification.svm.SVMLearnerEasy method) (Orange.classification.svm.ScoreSVMWeights method) (Orange.clustering.kmeans.Clustering method) (Orange.clustering.kmeans.init_hclustering method) (Orange.data.Domain method) , [], [], [], [], [], [] (Orange.data.Instance method) , [], [] (Orange.data.Table method) , [], [], [], [] (Orange.data.Value method) , [] (Orange.data.sql.SQLReader method) (Orange.data.sql.SQLWriter method) (Orange.evaluation.testing.TestedExample method) (Orange.feature.Continuous method) (Orange.feature.Discrete method) (Orange.feature.String method) (Orange.feature.imputation.Defaults method) , [] (Orange.misc.SymMatrix method) , [] (Orange.multitarget.MultitargetLearner method) (Orange.multitarget.tree.MultiTreeLearner method) (Orange.multitarget.tree.MultitargetVariance method) (Orange.network.DiGraph method) (Orange.network.Graph method) (Orange.network.MultiDiGraph method) (Orange.network.MultiGraph method) (Orange.network.deprecated.Network method) (Orange.projection.correspondence.CA method) (Orange.regression.earth.EarthLearner method) (Orange.regression.lasso.LassoRegressionLearner method) (Orange.regression.linear.LinearRegression method) (Orange.regression.linear.LinearRegressionLearner method) (Orange.regression.pls.PLSRegressionLearner method) (Orange.statistics.basic.Domain method) (Orange.statistics.contingency.ClassVar method) , [] (Orange.statistics.contingency.Domain method) (Orange.statistics.contingency.Table method) (Orange.statistics.contingency.VarClass method) , [] (Orange.statistics.contingency.VarVar method) (Orange.statistics.distribution.Continuous method) , [], [] (Orange.statistics.distribution.Discrete method) , [], [] (Orange.statistics.distribution.Distribution method) (Orange.statistics.distribution.Domain method) (Orange.statistics.distribution.Gaussian method) , [] (Orange.statistics.estimate.ConditionalLoess method) (Orange.statistics.estimate.Kernel method) (Orange.statistics.estimate.Loess method) (Orange.statistics.estimate.M method) (Orange.utils.ConsoleProgressBar method) (Orange.utils.addons.OrangeAddOn method) (Orange.utils.addons.OrangeAddOnInRepo method) (Orange.utils.addons.OrangeAddOnInstalled method) (Orange.utils.addons.OrangeAddOnRepository method) (Orange.utils.addons.OrangeRegisteredAddOn method) (Orange.utils.counters.BooleanCounter method) (Orange.utils.counters.CanonicFuncCounter method) (Orange.utils.counters.LimitedCounter method) (Orange.utils.counters.MofNCounter method) (Orange.utils.counters.NondecreasingCounter method)

__iter__() (Orange.projection.som.Map method) (Orange.projection.som.SOMMap method) __len__() (Orange.clustering.hierarchical.HierarchicalCluster method) __str__() (Orange.classification.bayes.NaiveClassifier method)

A

above_threshold() (Orange.feature.selection static method) abs (Orange.statistics.distribution.Distribution attribute) (Orange.statistics.distribution.Gaussian attribute) accept_special (Orange.data.filter.ValueFilter attribute) add() (Orange.evaluation.testing.ExperimentResults method) (Orange.statistics.basic.Variable method) (Orange.statistics.contingency.Table method) (Orange.statistics.distribution.Distribution method) add-ons add_addon_directories_to_path() (in module Orange.utils.addons) add_cluster() (Orange.network.deprecated.Graph method) add_meta() (Orange.data.Domain method) add_meta_attribute() (Orange.data.Table method) add_metas() (Orange.data.Domain method) add_result() (Orange.evaluation.testing.TestedExample method) add_value() (Orange.feature.Discrete method) add_var_class() (Orange.statistics.contingency.Class method) AdditionKernelWrapper (class in Orange.classification.svm.kernels) addon_directories (in module Orange.utils.addons) addons (Orange.utils.addons.OrangeAddOnRepository attribute) adjust_decimals (Orange.feature.Continuous attribute) adjust_threshold (Orange.classification.bayes.NaiveClassifier attribute) (Orange.classification.bayes.NaiveLearner attribute) advance() (Orange.utils.ConsoleProgressBar method) afterparse() (Orange.utils.addons.OrangeAddOnInRepo method) agglomerative clustering aglomerative clustering algorithm (Orange.regression.pls.PLSRegressionLearner attribute) alpha() (Orange.projection.som.Solver method) AP() (in module Orange.evaluation.scoring) append() (Orange.data.Table method) applies_both() (Orange.associate.AssociationRule method)

applies_left() (Orange.associate.AssociationRule method) applies_right() (Orange.associate.AssociationRule method) apriori_distribution (Orange.classification.majority.MajorityLearner attribute) architecture (Orange.utils.addons.OrangeAddOn attribute) AssociationRule (class in Orange.associate) AssociationRulesInducer (class in Orange.associate) AssociationRulesSparseInducer (class in Orange.associate) AsValue (class in Orange.feature.imputation) AsValueConstructor (class in Orange.feature.imputation) attract_g (Orange.projection.linear.FreeViz attribute) attribute_load_status (Orange.data.Table attribute) attributes (Orange.feature.Descriptor attribute) AUC() (in module Orange.evaluation.scoring) AUC_for_single_class() (in module Orange.evaluation.scoring) AUC_matrix() (in module Orange.evaluation.scoring) AUCWilcoxon() (in module Orange.evaluation.scoring) author_contributors (Orange.utils.addons.OrangeAddOn attribute) author_creators (Orange.utils.addons.OrangeAddOn attribute) author_organizations (Orange.utils.addons.OrangeAddOn attribute) available_addons (in module Orange.utils.addons) available_repositories (in module Orange.utils.addons) AVERAGE (in module Orange.clustering.hierarchical) average (NormalizeContinuous attribute) average() (Orange.statistics.distribution.Continuous method) (Orange.statistics.distribution.Gaussian method) avg (Orange.statistics.basic.Variable attribute) avg_linkage() (Orange.misc.SymMatrix method) avg_stress (Orange.projection.mds.MDS attribute)

B

bagged_evimp() (in module Orange.regression.earth) BaggedClassifier (class in Orange.ensemble.bagging) BaggedLearner (class in Orange.ensemble.bagging) bagging base_class (Orange.evaluation.testing.ExperimentResults attribute) base_classifier (Orange.feature.imputation.ImputeClassifier attribute) base_features() (Orange.regression.earth.EarthClassifier method) base_learner (Orange.feature.imputation.ImputeLearner attribute) base_matrix() (Orange.regression.earth.EarthClassifier method) base_value (Orange.feature.Discrete attribute) BaseGraph (class in Orange.network) BaseRegressionLearner (class in Orange.regression.base) Basic Statistics for Continuous Features batch (Orange.classification.tree.C45Learner attribute) best_threshold() (Orange.feature.scoring.Score method) (Orange.multitarget.tree.MultitargetVariance method) bestN() (in module Orange.data.preprocess) BestOnTheFly (class in Orange.utils.selection) bestP() (in module Orange.data.preprocess) beta (Orange.classification.logreg.LogRegClassifier attribute) beta_se (Orange.classification.logreg.LogRegClassifier attribute) BiModal (class in Orange.feature.discretization) BiModalDiscretizer (class in Orange.feature.discretization) binarization (Orange.classification.tree.TreeLearner attribute) (Orange.regression.tree.TreeLearner attribute)

Binary Relevance Classifier Binary Relevance Learner , [] BinaryRelevanceClassifier (class in Orange.multilabel) BinaryRelevanceLearner (class in Orange.multilabel) biplot() (Orange.projection.linear.PcaProjector method) BooleanCounter (class in Orange.utils.counters) BoostedClassifier (class in Orange.ensemble.boosting) BoostedLearner (class in Orange.ensemble.boosting) boosting both_special_dist() (Orange.distance.EuclideanDistance method) BR-kNN Learner , [] branch (Orange.classification.tree.C45Node attribute) branch_descriptions (Orange.classification.tree.Node attribute) branch_selector (Orange.classification.tree.Node attribute) branch_sizes (Orange.classification.tree.Node attribute) branches (Orange.classification.tree.Node attribute) (Orange.clustering.hierarchical.HierarchicalCluster attribute) Brier_score() (in module Orange.evaluation.scoring) BRkNN Classifier BRkNNClassifier (class in Orange.multilabel) BRkNNLearner (class in Orange.multilabel) burt_table() (in module Orange.projection.correspondence) by (in module Orange.classification.tree) by_whom() (in module Orange.classification.tree)

C

C (Orange.regression.pls.PLSRegression attribute) C45Classifier (class in Orange.classification.tree) C45Learner (class in Orange.classification.tree) C45Node (class in Orange.classification.tree) CA (class in Orange.projection.correspondence) CA() (in module Orange.evaluation.scoring) calc_distance() (Orange.projection.mds.MDS method) calc_stress() (Orange.projection.mds.MDS method) candidate_selector (Orange.classification.rules.Orange.classification.rules.BeamFinder attribute) CanonicFuncCounter (class in Orange.utils.counters) case_sensitive (Orange.data.filter.ValueFilterString attribute) (Orange.data.filter.ValueFilterStringList attribute) cases (Orange.statistics.distribution.Distribution attribute) center (Orange.projection.linear.Projector attribute) centroids (Orange.clustering.kmeans.Clustering attribute) cf (Orange.classification.tree.C45Learner attribute) check (Orange.data.filter.IsDefined attribute) check_cached_data (Orange.feature.scoring.Relief attribute) checksum() (Orange.data.Table method) checkurl() (Orange.utils.addons.OrangeAddOnRepository method) circular_crossing_reduction() (Orange.network.deprecated.NetworkOptimization method) (Orange.network.GraphLayout method) circular_original() (Orange.network.deprecated.NetworkOptimization method) (Orange.network.GraphLayout method) circular_random() (Orange.network.deprecated.NetworkOptimization method) (Orange.network.GraphLayout method) Class (class in Orange.statistics.contingency) class_dist (Orange.classification.tree.C45Node attribute) class_distribution (Orange.classification.rules.Orange.classification.rules.Rule attribute) class_is_outer (Orange.statistics.contingency.Domain attribute) class_name (Orange.data.sql.SQLReader attribute) class_values (Orange.evaluation.testing.ExperimentResults attribute) class_var (Orange.classification.ConstantClassifier attribute) (Orange.data.Domain attribute) (Orange.misc.CostMatrix attribute) class_vars (Orange.data.Domain attribute) classes (Orange.evaluation.testing.TestedExample attribute) (Orange.statistics.contingency.Domain attribute) classification CN2 CN2-SD data table lookup lookup table majority classifier naive Bayes classifier rule induction tree unordered CN2 classification tree classification trees pruning classification_rules (Orange.associate.AssociationRulesInducer attribute) Classifier (class in Orange.classification) classifier (Orange.classification.rules.Orange.classification.rules.Rule attribute) (Orange.tuning.ThresholdClassifier attribute) classifier_for_unknown (Orange.classification.lookup.ClassifierByDataTable attribute) classifier_names (Orange.evaluation.testing.ExperimentResults attribute) ClassifierByDataTable (class in Orange.classification.lookup) ClassifierByLookupTable (class in Orange.classification.lookup) ClassifierByLookupTable1 (class in Orange.classification.lookup) ClassifierByLookupTable2 (class in Orange.classification.lookup) ClassifierByLookupTable3 (class in Orange.classification.lookup) ClassifierFromVar (built-in class) ClassifierFromVarFD (built-in class) classifiers (Orange.evaluation.testing.ExperimentResults attribute) ClassVar (class in Orange.statistics.contingency) classVar (Orange.statistics.contingency.Class attribute) clear() (Orange.utils.ConsoleProgressBar method) clone() (in module Orange.clustering.hierarchical) (Orange.utils.addons.OrangeAddOn method) (Orange.utils.addons.OrangeAddOnInRepo method) (Orange.utils.addons.OrangeAddOnInstalled method) (Orange.utils.addons.OrangeAddOnRepository method) closest_vertex() (Orange.network.deprecated.NetworkOptimization method) (Orange.network.GraphLayout method) cluster_depths() (in module Orange.clustering.hierarchical) cluster_to_list() (in module Orange.clustering.hierarchical) clustering Clustering (class in Orange.clustering.kmeans) clustering() (in module Orange.clustering.hierarchical) clustering, hierarchical, dendrogram clustering, kmeans clustering_features() (in module Orange.clustering.hierarchical) clusters (Orange.clustering.kmeans.Clustering attribute) CN2-SD CN2Classifier (class in Orange.classification.rules) CN2EVCUnorderedLearner (class in Orange.classification.rules) CN2Learner (class in Orange.classification.rules) CN2SDUnorderedLearner (class in Orange.classification.rules) CN2UnorderedClassifier (class in Orange.classification.rules) CN2UnorderedLearner (class in Orange.classification.rules) coef0 (Orange.regression.lasso.LassoRegression attribute) coefficients (Orange.regression.lasso.LassoRegression attribute) (Orange.regression.linear.LinearRegression attribute) coefs (Orange.regression.pls.PLSRegression attribute) column_factors() (Orange.projection.correspondence.CA method) column_inertia() (Orange.projection.correspondence.CA method) column_principal_axes (Orange.projection.correspondence.CA attribute) column_profiles() (Orange.projection.correspondence.CA method)

commandline() (Orange.classification.tree.C45Learner method) community detection in graphs compare (Orange.tuning.TuneParameters attribute) compare_bigger() (in module Orange.utils.selection) compare_first_bigger() (in module Orange.utils.selection) compare_first_smaller() (in module Orange.utils.selection) compare_last_bigger() (in module Orange.utils.selection) compare_last_smaller() (in module Orange.utils.selection) compare_smaller() (in module Orange.utils.selection) compatible() (Orange.data.Instance method) COMPLETE (in module Orange.clustering.hierarchical) complexity (Orange.classification.rules.Orange.classification.rules.Rule attribute) CompositeKernelWrapper (class in Orange.classification.svm.kernels) compute_CD() (in module Orange.evaluation.scoring) compute_centeroid() (Orange.clustering.kmeans.Clustering method) compute_cluster() (Orange.clustering.kmeans.Clustering method) compute_cond() (Orange.multilabel.MLkNNLearner method) compute_friedman() (in module Orange.evaluation.scoring) compute_prior() (Orange.multilabel.MLkNNLearner method) compute_ROC() (in module Orange.evaluation.scoring) compute_value() (Orange.feature.Descriptor method) computes_thresholds (Orange.feature.scoring.Score attribute) conditional_distributions (Orange.classification.bayes.NaiveClassifier attribute) conditional_estimator_constructor (Orange.classification.bayes.NaiveLearner attribute) (Orange.feature.scoring.ScoreFromProbabilities attribute) conditional_estimator_constructor_continuous (Orange.classification.bayes.NaiveLearner attribute) conditional_estimators (Orange.classification.bayes.NaiveClassifier attribute) ConditionalByRows (class in Orange.statistics.estimate) ConditionalEstimator (class in Orange.statistics.estimate) ConditionalEstimatorByRows (class in Orange.statistics.estimate) ConditionalEstimatorConstructor (class in Orange.statistics.estimate) ConditionalEstimatorFromDistribution (class in Orange.statistics.estimate) ConditionalLoess (class in Orange.statistics.estimate) conditions (Orange.data.filter.Values attribute) confidence (Orange.associate.AssociationRule attribute) (Orange.associate.AssociationRulesInducer attribute) (Orange.associate.AssociationRulesSparseInducer attribute) confusion_chi_square() (in module Orange.evaluation.scoring) confusion_matrices() (in module Orange.evaluation.scoring) ConfusionMatrix (class in Orange.evaluation.scoring) conjunction (Orange.data.filter.Values attribute) connect() (Orange.data.sql.SQLReader method) (Orange.data.sql.SQLWriter method) consensus_matrix() (in module Orange.clustering.consensus) ConsoleProgressBar (class in Orange.utils) Constant (Orange.classification.logreg.LogRegFitter attribute) ConstantClassifier (class in Orange.classification) construct_variable() (Orange.feature.discretization.Discretizer method) Constructor (class in Orange.feature.imputation) contingency (Orange.classification.tree.Node attribute) Contingency table Contingency_Class (Orange.feature.scoring.Score attribute) contingency_computer (Orange.classification.tree.TreeLearner attribute) (Orange.regression.tree.TreeLearner attribute) Continuize (class in Orange.data.preprocess) continuize_table() (Orange.regression.base.BaseRegressionLearner method) Continuous (class in Orange.feature) (class in Orange.statistics.distribution) coors (GraphLayout attribute) (Orange.network.deprecated.Network attribute) cophenetic_correlation() (in module Orange.clustering.hierarchical) cophenetic_distances() (in module Orange.clustering.hierarchical) Cost (class in Orange.feature.scoring) cost (Orange.feature.scoring.Cost attribute) CostMatrix (class in Orange.misc) CostMatrix() (Orange.misc.CostMatrix method) , [], [] count_leaves() (Orange.classification.tree.TreeClassifier method) (Orange.regression.tree.TreeClassifier method) count_nodes() (Orange.classification.tree.TreeClassifier method) (Orange.regression.tree.TreeClassifier method) cover_and_remove (Orange.classification.rules.Orange.classification.rules.RuleLearner attribute) coverage (Orange.associate.AssociationRule attribute) CovererAndRemover_AddWeights (class in Orange.classification.rules) CovererAndRemover_MultWeights (class in Orange.classification.rules) create() (Orange.data.sql.SQLWriter method) create_anchors() (Orange.data.preprocess.scaling.ScaleLinProjData method) (Orange.data.preprocess.scaling.ScaleLinProjData3D method) create_projection_as_example_table() (Orange.data.preprocess.scaling.ScaleLinProjData method) (Orange.data.preprocess.scaling.ScaleLinProjData3D method) (Orange.data.preprocess.scaling.ScaleScatterPlotData method) create_projection_as_example_table_3D() (Orange.data.preprocess.scaling.ScaleScatterPlotData method) createAnchors() (Orange.data.preprocess.scaling.ScaleLinProjData method) (Orange.data.preprocess.scaling.ScaleLinProjData3D method) createProjectionAsExampleTable() (Orange.data.preprocess.scaling.ScaleLinProjData method) (Orange.data.preprocess.scaling.ScaleLinProjData3D method) (Orange.data.preprocess.scaling.ScaleScatterPlotData method) createProjectionAsExampleTable3D() (Orange.data.preprocess.scaling.ScaleScatterPlotData method) cross_validation() (Orange.evaluation.testing.Evaluation method) cut (Orange.classification.tree.C45Node attribute)

D

data discretization data (Orange.clustering.kmeans.Clustering attribute) (Orange.tuning.TuneParameters attribute) data scaling data() (Orange.data.sql.SQLReader method) data_description (Orange.classification.lookup.ClassifierByLookupTable attribute) data_matrix (Orange.projection.correspondence.CA attribute) data_stopping (Orange.classification.rules.Orange.classification.rules.RuleLearner attribute) ddof (Orange.projection.linear.PCA attribute) default_distribution (Orange.classification.ConstantClassifier attribute) default_meta_id (Orange.feature.Descriptor attribute) default_val (Orange.classification.ConstantClassifier attribute) Defaults (class in Orange.feature.imputation) defaults (Orange.feature.imputation.AsValue attribute) (Orange.feature.imputation.Defaults attribute) deflation_mode (Orange.regression.pls.PLSRegressionLearner attribute) dendrogram_draw() (in module Orange.clustering.hierarchical) dendrogram_layout() (in module Orange.clustering.hierarchical) density() (Orange.statistics.distribution.Continuous method) (Orange.statistics.distribution.Gaussian method) deprecated network classes deprecated_attribute() (in module Orange.utils) deprecated_function_name() (in module Orange.utils) deprecated_keywords() (in module Orange.utils) deprecated_members() (in module Orange.utils) deprecation_warning() (in module Orange.utils) Descender (class in Orange.classification.tree) descender (Orange.classification.tree.TreeClassifier attribute) (Orange.classification.tree.TreeLearner attribute) (Orange.regression.tree.TreeClassifier attribute) (Orange.regression.tree.TreeLearner attribute) Descender_UnknownMergeAsBranchSizes (class in Orange.classification.tree) Descender_UnknownMergeAsSelector (class in Orange.classification.tree) Descender_UnknownToBranch (class in Orange.classification.tree) Descender_UnknownToCommonBranch (class in Orange.classification.tree) Descender_UnknownToCommonSelector (class in Orange.classification.tree) Descender_UnknownToNode (class in Orange.classification.tree) description (Orange.network.snap.NetworkInfo attribute) (Orange.utils.addons.OrangeAddOn attribute) Descriptor (class in Orange.feature) Descriptor.make() (in module Orange.feature) Descriptor.MakeStatus.Incompatible (in module Orange.feature) Descriptor.MakeStatus.MissingValues (in module Orange.feature) Descriptor.MakeStatus.NoRecognizedValues (in module Orange.feature) Descriptor.MakeStatus.NotFound (in module Orange.feature) Descriptor.MakeStatus.OK (in module Orange.feature) Descriptor.retrieve() (in module Orange.feature) deterministic (Orange.feature.imputation.Random attribute) dev (Orange.statistics.basic.Variable attribute) dev() (Orange.statistics.distribution.Continuous method) (Orange.statistics.distribution.Gaussian method)

dict_model (Orange.regression.linear.LinearRegression attribute) DiGraph (class in Orange.network) dim (Orange.misc.SymMatrix attribute) (Orange.projection.mds.MDS attribute) dimension (Orange.misc.CostMatrix attribute) directed (Orange.network.deprecated.Graph attribute) directory (Orange.utils.addons.OrangeAddOnInstalled attribute) (Orange.utils.addons.OrangeRegisteredAddOn attribute) directory_documentation() (Orange.utils.addons.OrangeAddOn method) (Orange.utils.addons.OrangeRegisteredAddOn method) disconnect() (Orange.data.sql.SQLReader method) (Orange.data.sql.SQLWriter method) Discrete (class in Orange.feature) (class in Orange.statistics.distribution) Discrete2Continuous (built-in class) discrete_names (Orange.data.sql.SQLReader attribute) discretization , [] Discretization (class in Orange.feature.discretization) discretize_domain() (in module Orange.data.preprocess.scaling) DiscretizeEntropy (class in Orange.data.preprocess) Discretizer (class in Orange.feature.discretization) DiscretizeTable (class in Orange.data.discretization) Distance (class in Orange.distance) (class in Orange.feature.scoring) distance (Orange.classification.knn.FindNearest attribute) distance_constructor (Orange.classification.knn.FindNearestConstructor attribute) (Orange.classification.knn.kNNLearner attribute) distance_ID (Orange.classification.knn.FindNearest attribute) distance_matrix() (in module Orange.distance) (Orange.data.outliers.OutlierDetection method) DistanceConstructor (class in Orange.distance) DistanceNormalized (class in Orange.distance) distances (Orange.projection.mds.MDS attribute) Distribution (class in Orange.statistics.distribution) distribution (Orange.classification.bayes.NaiveClassifier attribute) (Orange.classification.tree.Node attribute) distribution_for_unknown (ClassifierFromVar attribute) (ClassifierFromVarFD attribute) Distributions distributions (Orange.classification.lookup.ClassifierByLookupTable attribute) distributions() (Orange.distance.EuclideanDistance method) Divergence (Orange.classification.logreg.LogRegFitter attribute) Domain (class in Orange.data) (class in Orange.statistics.basic) (class in Orange.statistics.contingency) (class in Orange.statistics.distribution) domain (ClassifierFromVarFD attribute) (Orange.data.Instance attribute) (Orange.data.Table attribute) (Orange.data.filter.Filter attribute) (Orange.data.sql.SQLReader attribute) (Orange.feature.imputation.AsValue attribute) domain_version (Orange.distance.DistanceNormalized attribute) DomainContingency (Orange.feature.scoring.Score attribute) DomainContinuizer (class in Orange.data.continuization) dont_impute_classifier (Orange.feature.imputation.ImputeLearner attribute) dot() (Orange.classification.tree.TreeClassifier method) (Orange.regression.tree.TreeClassifier method) DualKernelWrapper (class in Orange.classification.svm.kernels) dump() (in module Orange.classification.logreg) dump_lookup_function() (in module Orange.classification.lookup)

E

EarthClassifier (class in Orange.regression.earth) EarthLearner (class in Orange.regression.earth) edge_exists() (Orange.network.deprecated.Graph method) edges (Orange.network.snap.NetworkInfo attribute) eigen_values (Orange.projection.linear.FdaProjector attribute) eigen_vectors (Orange.projection.linear.FdaProjector attribute) ensemble boosting ensemble random forest stacking Entropy (class in Orange.feature.discretization) EqualFreq (class in Orange.feature.discretization) EqualWidth (class in Orange.feature.discretization) EqualWidthDiscretizer (class in Orange.feature.discretization) error() (Orange.statistics.distribution.Continuous method) Estimator (class in Orange.statistics.estimate) estimator (Orange.classification.bayes.NaiveClassifier attribute)

estimator_constructor (Orange.classification.bayes.NaiveLearner attribute) (Orange.classification.majority.MajorityLearner attribute) (Orange.feature.scoring.ScoreFromProbabilities attribute) (Orange.statistics.estimate.ConditionalByRows attribute) estimator_list (Orange.statistics.estimate.ConditionalEstimatorByRows attribute) EstimatorConstructor (class in Orange.statistics.estimate) EstimatorFromDistribution (class in Orange.statistics.estimate) Euclidean (class in Orange.distance) EuclideanDistance (class in Orange.distance) evaluate (Orange.tuning.TuneParameters attribute) Evaluation (class in Orange.evaluation.testing) evimp() (Orange.regression.earth.EarthClassifier method) execute() (Orange.data.sql.SQLReader method) ExperimentResults (class in Orange.evaluation.testing) ext (Orange.multilabel.brknn.BRkNNLearner attribute) extend() (Orange.data.Table method)

F

F (Orange.regression.linear.LinearRegression attribute) F1() (in module Orange.evaluation.scoring) factor (Ordinal2Continuous attribute) Falpha() (in module Orange.evaluation.scoring) FDA Fda (class in Orange.projection.linear) FdaProjector (class in Orange.projection.linear) feature discretization feature scoring feature selection value imputation feature construction lookup classifiers feature scoring ReliefF cost gain ratio gini index information gain mean square error relevance feature selection feature_distance_matrix() (in module Orange.clustering.hierarchical) feature_distances() (Orange.distance.DistanceNormalized method) features (Orange.data.Domain attribute) FeatureSelection (class in Orange.data.preprocess) filename (Orange.utils.addons.OrangeAddOnInRepo attribute) filter Filter (class in Orange.data.filter) filter (Orange.classification.rules.Orange.classification.rules.Rule attribute) filter() (Orange.data.Table method) , [] filter_and_store() (Orange.classification.rules.Orange.classification.rules.Rule method) filter_bool() (Orange.data.Table method) filter_ref() (Orange.data.Table method) FilterAboveThreshold (class in Orange.feature.selection) FilterBestN (class in Orange.feature.selection) FilterConjunction (class in Orange.data.filter) FilterDisjunction (class in Orange.data.filter) FilteredClassifier (class in Orange.feature.selection)

FilteredLearner (class in Orange.feature.selection) filtering instance filtering FilterRelief (class in Orange.feature.selection) filters (Orange.data.filter.FilterConjunction attribute) (Orange.data.filter.FilterDisjunction attribute) find_nearest (Orange.classification.knn.kNNClassifier attribute) FindNearest (class in Orange.classification.knn) FindNearestConstructor (class in Orange.classification.knn) finish() (Orange.utils.ConsoleProgressBar method) first (Orange.clustering.hierarchical.HierarchicalCluster attribute) first_cut (Orange.feature.discretization.EqualWidthDiscretizer attribute) Fisher Discriminant Analysis fista() (Orange.regression.lasso.LassoRegressionLearner method) fit() (Orange.regression.pls.PLSRegressionLearner method) fit_status (Orange.classification.logreg.LogRegClassifier attribute) fitted (Orange.regression.linear.LinearRegression attribute) folds (Orange.data.sample.SubsetIndicesCV attribute) (Orange.tuning.TuneParameters attribute) force_attribute (Orange.feature.discretization.Entropy attribute) force_balancing (Orange.projection.linear.FreeViz attribute) force_sigma (Orange.projection.linear.FreeViz attribute) forceMapping (Orange.network.deprecated.Graph attribute) fr() (Orange.network.GraphLayout method) fr_radial() (Orange.network.GraphLayout method) FreeViz (class in Orange.projection.linear) FreeVizClassifier (class in Orange.projection.linear) FreeVizLearner (class in Orange.projection.linear) fruchterman_reingold() (Orange.network.deprecated.NetworkOptimization method) fs (in module Orange.classification.tree)

G

gain_ratio (Orange.classification.tree.C45Learner attribute) GainRatio (class in Orange.feature.scoring) Gaussian (class in Orange.statistics.distribution) gcv() (in module Orange.regression.earth) generate_pajek() (in module Orange.network.readwrite) Generator (Orange.feature.scoring.Score attribute) get_best_matching_node() (Orange.projection.som.SOMMap method) get_bootstrap_sample() (in module Orange.regression.lasso) get_class() (Orange.data.Instance method) get_classes() (Orange.data.Instance method) get_clustering_coefficient() (Orange.network.deprecated.Graph method) get_connected_components() (Orange.network.deprecated.Graph method) get_degree_distribution() (Orange.network.deprecated.Graph method) get_degrees() (Orange.network.deprecated.Graph method) get_diameter() (Orange.network.deprecated.Graph method) get_distance() (Orange.network.deprecated.Graph method) get_distance_matrix_threshold() (Orange.network.deprecated.Network method) get_edge_vars() (Orange.network.NetworkOptimization method) get_edges_from() (Orange.network.deprecated.Graph method) get_edges_to() (Orange.network.deprecated.Graph method) get_hubs() (Orange.network.deprecated.Graph method) get_index() (Orange.classification.lookup.ClassifierByLookupTable method) get_items() (Orange.data.Table method) get_items_ref() (Orange.data.Table method) get_itemsets() (Orange.associate.AssociationRulesInducer method) (Orange.associate.AssociationRulesSparseInducer method) get_KNN() (Orange.misc.SymMatrix method) get_labels_a() (Orange.multilabel.BRkNNClassifier method) get_labels_b() (Orange.multilabel.BRkNNClassifier method) get_linear_svm_weights() (Orange.classification.svm static method) get_lipschitz() (Orange.regression.lasso.LassoRegressionLearner method) get_meta() (Orange.data.Domain method) get_metas() (Orange.data.Domain method) , [] (Orange.data.Instance method) , [] get_neighbours() (Orange.network.deprecated.Graph method) get_network() (Orange.network.snap.SNAP method) get_network_list() (Orange.network.snap.SNAP method) get_prob() (Orange.multilabel.BRkNNClassifier method)

get_projected_point_position() (Orange.data.preprocess.scaling.ScaleLinProjData method) (Orange.data.preprocess.scaling.ScaleLinProjData3D method) (Orange.data.preprocess.scaling.ScaleScatterPlotData method) get_shortest_paths() (Orange.network.deprecated.Graph method) get_sub_graph() (Orange.network.deprecated.Graph method) get_valid_indices() (Orange.data.preprocess.scaling.ScaleData method) get_valid_list() (Orange.data.preprocess.scaling.ScaleData method) get_valid_subset_indices() (Orange.data.preprocess.scaling.ScaleData method) get_valid_subset_list() (Orange.data.preprocess.scaling.ScaleData method) get_value_from (Orange.feature.Descriptor attribute) get_values() (Orange.misc.SymMatrix method) get_variable_value_indices() (in module Orange.data.preprocess.scaling) get_variable_values_sorted() (in module Orange.data.preprocess.scaling) get_vars() (Orange.network.NetworkOptimization method) get_vertices_in_rect() (Orange.network.deprecated.NetworkOptimization method) (Orange.network.GraphLayout method) get_visible() (Orange.network.deprecated.Network method) get_weight() (Orange.data.Instance method) get_xy_data_positions() (Orange.data.preprocess.scaling.ScaleScatterPlotData method) get_xy_subset_data_positions() (Orange.data.preprocess.scaling.ScaleScatterPlotData method) getClassDistribution() (in module Orange.statistics.distribution) getcost() (Orange.misc.CostMatrix method) getProjectedPointPosition() (Orange.data.preprocess.scaling.ScaleLinProjData method) (Orange.data.preprocess.scaling.ScaleLinProjData3D method) (Orange.data.preprocess.scaling.ScaleScatterPlotData method) getstring() (Orange.utils.ConsoleProgressBar method) getValidIndices() (Orange.data.preprocess.scaling.ScaleData method) getValidList() (Orange.data.preprocess.scaling.ScaleData method) getValidSubsetIndices() (Orange.data.preprocess.scaling.ScaleData method) getValidSubsetList() (Orange.data.preprocess.scaling.ScaleData method) getXYDataPositions() (Orange.data.preprocess.scaling.ScaleScatterPlotData method) getXYSubsetDataPositions() (Orange.data.preprocess.scaling.ScaleScatterPlotData method) Gini (class in Orange.feature.scoring) Graph (class in Orange.network) (class in Orange.network.deprecated) graph (Orange.network.deprecated.NetworkOptimization attribute) graph_ranks() (in module Orange.evaluation.scoring) GraphAsList (class in Orange.network.deprecated) GraphAsMatrix (class in Orange.network.deprecated) GraphAsTree (class in Orange.network.deprecated) GraphLayout (class in Orange.network)

H

Hamming (class in Orange.distance) HammingDistance (class in Orange.distance) handles_continuous (Orange.feature.scoring.Score attribute) handles_discrete (Orange.feature.scoring.Score attribute) has_attribute() (Orange.data.Domain method) has_continuous_attributes() (Orange.data.Domain method) has_discrete_attributes() (Orange.data.Domain method) has_meta() (Orange.data.Instance method) has_missing_classes() (Orange.data.Table method) has_missing_values() (Orange.data.Table method) has_other_attributes() (Orange.data.Domain method)

has_single_widget() (Orange.utils.addons.OrangeAddOn method) (Orange.utils.addons.OrangeRegisteredAddOn method) has_web_script (Orange.utils.addons.OrangeAddOnRepository attribute) HasClassValue (class in Orange.data.filter) HasMeta (class in Orange.data.filter) height (Orange.clustering.hierarchical.HierarchicalCluster attribute) HexagonalTopology (in module Orange.projection.som) hide_vertices() (Orange.network.deprecated.Network method) HierarchicalCluster (class in Orange.clustering.hierarchical) HierarchicalClustering (class in Orange.clustering.hierarchical) high (Orange.feature.discretization.BiModalDiscretizer attribute) homepage (Orange.utils.addons.OrangeAddOn attribute)

I

iconlist_html() (Orange.utils.addons.OrangeRegisteredAddOn method) id (Orange.data.filter.HasMeta attribute) (Orange.utils.addons.OrangeAddOn attribute) (Orange.utils.addons.OrangeRegisteredAddOn attribute) IgnoreUnknowns (Orange.feature.scoring.Score attribute) importances() (Orange.ensemble.forest.ScoreFeature method) imputation , [] Impute (class in Orange.data.preprocess) impute_class (Orange.feature.imputation.Constructor attribute) (Orange.feature.imputation.Random attribute) impute_table() (Orange.regression.base.BaseRegressionLearner method) ImputeClassifier (class in Orange.feature.imputation) ImputeLearner (class in Orange.feature.imputation) imputer (Orange.feature.imputation.ImputeClassifier attribute) imputer_constructor (Orange.feature.imputation.ImputeLearner attribute) include_same (Orange.classification.knn.FindNearestConstructor attribute) increment (Orange.classification.tree.C45Learner attribute) index (Orange.utils.addons.OrangeAddOnRepository attribute) inertia_of_axes() (Orange.projection.correspondence.CA method) Infinity (Orange.classification.logreg.LogRegFitter attribute) InfoGain (class in Orange.feature.scoring) init_centroids() (Orange.clustering.kmeans.Clustering method) init_diversity() (Orange.clustering.kmeans static method) init_hclustering (class in Orange.clustering.kmeans) init_random() (Orange.clustering.kmeans static method) initialize_map_linear() (Orange.projection.som.Map method) initialize_map_random() (Orange.projection.som.Map method) InitializeLinear (in module Orange.projection.som) initializer (Orange.classification.rules.Orange.classification.rules.BeamFinder attribute) InitializeRandom (in module Orange.projection.som) initseed (Orange.misc.Random attribute)

innerDistribution (Orange.statistics.contingency.Table attribute) innerDistributionUnknown (Orange.statistics.contingency.Table attribute) innerVariable (Orange.statistics.contingency.Table attribute) input_domain (Orange.projection.linear.Projector attribute) insert_dot() (in module Orange.classification.tree) insert_num() (in module Orange.classification.tree) insert_str() (in module Orange.classification.tree) install_addon() (in module Orange.utils.addons) install_addon_from_repo() (in module Orange.utils.addons) InstallationException (class in Orange.utils.addons) installed_addons (in module Orange.utils.addons) Instance (class in Orange.data) instance() (Orange.classification.tree.TreeLearner method) (Orange.regression.tree.TreeLearner method) instances (Orange.classification.knn.FindNearest attribute) (Orange.classification.rules.Orange.classification.rules.Rule attribute) (Orange.projection.som.Node attribute) IntervalDiscretizer (class in Orange.feature.discretization) invert (Discrete2Continuous attribute) invert() (Orange.misc.SymMatrix method) IS() (in module Orange.evaluation.scoring) is_DC() (Orange.data.Value method) is_DK() (Orange.data.Value method) is_optional_meta() (Orange.data.Domain method) is_special() (Orange.data.Value method) IsDefined (class in Orange.data.filter) items (Orange.classification.tree.C45Node attribute) (Orange.network.deprecated.Network attribute) items() (Orange.network.BaseGraph method) (Orange.statistics.distribution.Distribution method) items_vars() (Orange.network.BaseGraph method) iteration (Orange.clustering.kmeans.Clustering attribute) iteration_number (Orange.evaluation.testing.TestedExample attribute)

J

joining_cluster() (in module Orange.clustering.hierarchical)

K

k (Orange.classification.knn.kNNClassifier attribute) (Orange.classification.knn.kNNLearner attribute) (Orange.clustering.kmeans.Clustering attribute) (Orange.feature.scoring.Relief attribute) (Orange.multilabel.brknn.BRkNNLearner attribute) (Orange.multilabel.mlknn.MLkNNLearner attribute) (Orange.multilabel.multiknn.MultikNNLearner attribute) Kernel (class in Orange.statistics.estimate) KernelWrapper (class in Orange.classification.svm.kernels) keys() (Orange.statistics.distribution.Distribution method)

knn (Orange.multilabel.brknn.BRkNNLearner attribute) (Orange.multilabel.mlknn.MLkNNLearner attribute) (Orange.multilabel.multiknn.MultikNNLearner attribute) kNNClassifier (class in Orange.classification.knn) kNNLearner (class in Orange.classification.knn)

L

label_indices (Orange.multilabel.multiknn.MultikNNLearner attribute) label_propagation() (in module Orange.network.community) (Orange.network.NetworkClustering method) label_propagation_hop_attenuation() (in module Orange.network.community) LabelPowerset Classifier LabelPowerset Learner , [] LabelPowersetClassifier (class in Orange.multilabel) LabelPowersetLearner (class in Orange.multilabel) Laplace (class in Orange.statistics.estimate) LaplaceEvaluator (class in Orange.classification.rules) LassoRegression (class in Orange.regression.lasso) LassoRegressionLearner (class in Orange.regression.lasso) last (Orange.clustering.hierarchical.HierarchicalCluster attribute) last_refresh_utc (Orange.utils.addons.OrangeAddOnRepository attribute) law (Orange.projection.linear.FreeViz attribute) leaf (Orange.classification.tree.C45Node attribute) learn_and_test_on_learn_data() (Orange.evaluation.testing.Evaluation method) learn_and_test_on_test_data() (Orange.evaluation.testing.Evaluation method) Learner (class in Orange.classification) learner (Orange.classification.rules.Orange.classification.rules.Rule attribute) (Orange.multitarget.MultitargetLearner attribute) (Orange.tuning.ThresholdLearner attribute) (Orange.tuning.TuneParameters attribute) learning_curve() (Orange.evaluation.testing.Evaluation method) learning_curve_n() (Orange.evaluation.testing.Evaluation method) learning_curve_with_test_data() (Orange.evaluation.testing.Evaluation method) leave_one_out() (Orange.evaluation.testing.Evaluation method) left (Orange.clustering.hierarchical.HierarchicalCluster attribute) leverage (Orange.associate.AssociationRule attribute) LibLinearLogRegLearner (class in Orange.classification.logreg) lift (Orange.associate.AssociationRule attribute)

likelihood (Orange.classification.logreg.LogRegClassifier attribute) LimitedCounter (class in Orange.utils.counters) linear model , [] linear projection LinearRegression (class in Orange.regression.linear) LinearRegressionLearner (class in Orange.regression.linear) LinearSVMLearner (class in Orange.classification.svm) link (Orange.network.snap.NetworkInfo attribute) linkage (Orange.clustering.hierarchical.HierarchicalClustering attribute) links (Orange.network.deprecated.Network attribute) links() (Orange.network.BaseGraph method) links_vars() (Orange.network.BaseGraph method) load_addons() (in module Orange.utils.addons) load_installed_addons_from_dir() (in module Orange.utils.addons) load_repositories() (in module Orange.utils.addons) Loess (class in Orange.statistics.estimate) LogRegClassifier (class in Orange.classification.logreg) LogRegFitter (class in Orange.classification.logreg) LogRegFitter_Cholesky (class in Orange.classification.logreg) LogRegLearner (class in Orange.classification.logreg) lookup_from_data() (in module Orange.classification.lookup) lookup_from_function() (in module Orange.classification.lookup) lookup_table (Orange.classification.lookup.ClassifierByLookupTable attribute) LookupLearner (class in Orange.classification.lookup) low (Orange.feature.discretization.BiModalDiscretizer attribute) lsmt() (Orange.projection.mds.MDS method)

M

M (class in Orange.statistics.estimate) m (Orange.classification.bayes.NaiveLearner attribute) (Orange.classification.tree.Pruner_m attribute) (Orange.feature.scoring.MSE attribute) (Orange.feature.scoring.Relief attribute) (Orange.regression.linear.LinearRegression attribute) m_pruning (Orange.classification.tree.TreeLearner attribute) (Orange.regression.tree.TreeLearner attribute) MAE() (in module Orange.evaluation.scoring) Mahalanobis (class in Orange.distance) MahalanobisDistance (class in Orange.distance) majority classifier classification MajorityLearner (class in Orange.classification.majority) Manhattan (class in Orange.distance) ManhattanDistance (class in Orange.distance) Map (class in Orange.projection.som) map (Orange.projection.som.Map attribute) map_shape (Orange.projection.som.Map attribute) MapIntValue (built-in class) mapping (MapIntValue attribute) (Orange.classification.tree.C45Node attribute) (Orange.clustering.hierarchical.HierarchicalCluster attribute) matrix_type (Orange.misc.SymMatrix attribute) max (Orange.data.filter.ValueFilterContinous attribute) (Orange.data.filter.ValueFilterString attribute) (Orange.statistics.basic.Variable attribute) max_depth (Orange.classification.tree.SimpleTreeLearner attribute) (Orange.classification.tree.TreeLearner attribute) (Orange.regression.tree.SimpleTreeLearner attribute) (Orange.regression.tree.TreeLearner attribute) max_item_sets (Orange.associate.AssociationRulesInducer attribute) (Orange.associate.AssociationRulesSparseInducer attribute) max_majority (Orange.classification.tree.SimpleTreeLearner attribute) (Orange.classification.tree.StopCriteria_common attribute) (Orange.classification.tree.TreeLearner attribute) (Orange.regression.tree.SimpleTreeLearner attribute) (Orange.regression.tree.TreeLearner attribute) max_nu() (Orange.classification.svm static method) (Orange.classification.svm.SVMLearner static method) Maximal (class in Orange.distance) MaximalDistance (class in Orange.distance) MCC() (in module Orange.evaluation.scoring) McNemar() (in module Orange.evaluation.scoring) McNemar_of_two() (in module Orange.evaluation.scoring) MDL (class in Orange.feature.scoring) MDS (class in Orange.projection.mds) mds_callback() (Orange.network.NetworkOptimization method) mds_components() (Orange.network.GraphLayout method) (Orange.network.NetworkOptimization method) mds_update_data() (Orange.network.NetworkOptimization method) mean (Orange.statistics.distribution.Gaussian attribute) measure (Orange.classification.tree.SplitConstructor_Score attribute) (Orange.classification.tree.TreeLearner attribute) (Orange.multitarget.tree.MultiTreeLearner attribute) (Orange.regression.tree.TreeLearner attribute) merge_data_sets() (Orange.data.preprocess.scaling.ScaleData method) mergeDataSets() (Orange.data.preprocess.scaling.ScaleData method) meta_attribute_load_status (Orange.data.Table attribute) meta_id() (Orange.data.Domain method) meta_names (Orange.data.sql.SQLReader attribute) min (Orange.statistics.basic.Variable attribute) min_instances (Orange.classification.tree.SimpleTreeLearner attribute) (Orange.classification.tree.StopCriteria_common attribute) (Orange.classification.tree.TreeLearner attribute) (Orange.regression.tree.SimpleTreeLearner attribute) (Orange.regression.tree.TreeLearner attribute) min_objs (Orange.classification.tree.C45Learner attribute) min_subset (Orange.classification.tree.SplitConstructor attribute) (Orange.classification.tree.TreeLearner attribute) (Orange.regression.tree.TreeLearner attribute) mirror_symmetry (Orange.projection.linear.FreeViz attribute)

misc selection ML-kNN Classifier ML-kNN Learner , [] mlc_accuracy() (in module Orange.evaluation.scoring) mlc_hamming_loss() (in module Orange.evaluation.scoring) mlc_precision() (in module Orange.evaluation.scoring) mlc_recall() (in module Orange.evaluation.scoring) MLkNNClassifier (class in Orange.multilabel) MLkNNLearner (class in Orange.multilabel) mode (Orange.regression.pls.PLSRegressionLearner attribute) Model (class in Orange.feature.imputation) model (Orange.regression.lasso.LassoRegression attribute) ModelConstructor (class in Orange.feature.imputation) models (Orange.feature.imputation.Model attribute) modus() (Orange.statistics.distribution.Distribution method) MofNCounter (class in Orange.utils.counters) MSE (class in Orange.feature.scoring) MSE() (in module Orange.evaluation.scoring) mt_average_score() (in module Orange.evaluation.scoring) mt_flattened_score() (in module Orange.evaluation.scoring) mt_global_accuracy() (in module Orange.evaluation.scoring) mt_mean_accuracy() (in module Orange.evaluation.scoring) mu_x (Orange.regression.lasso.LassoRegression attribute) mu_y (Orange.regression.linear.LinearRegression attribute) Multi-target Tree Classifier Multi-target Tree Learner , [] Multi-target Variance MultiClassSVMLearner (class in Orange.classification.svm) MultiDiGraph (class in Orange.network) multidimensional scaling (mds) MultiGraph (class in Orange.network) MultikNN Classifier MultikNN Learner , [] MultikNNClassifier (class in Orange.multilabel) MultikNNLearner (class in Orange.multilabel) multilabel MultikNN Learner multinomial_treatment (Orange.data.continuization.DomainContinuizer attribute) MultiplicationKernelWrapper (class in Orange.classification.svm.kernels) MultitargetClassifier (class in Orange.multitarget) MultitargetLearner (class in Orange.multitarget) MultitargetVariance (class in Orange.multitarget.tree) MultiTree (class in Orange.multitarget.tree) MultiTreeLearner (class in Orange.multitarget.tree)

N

n (Orange.feature.discretization.EqualFreq attribute) (Orange.feature.discretization.EqualWidth attribute) (Orange.feature.discretization.EqualWidthDiscretizer attribute) (Orange.projection.mds.MDS attribute) (Orange.regression.linear.LinearRegression attribute) (Orange.statistics.basic.Variable attribute) n_comp (Orange.regression.pls.PLSRegressionLearner attribute) n_examples (Orange.associate.AssociationRule attribute) (Orange.classification.knn.kNNClassifier attribute) naive Bayes classifier Naive Bayesian Learner NaiveClassifier (class in Orange.classification.bayes) NaiveLearner (class in Orange.classification.bayes) name (Orange.feature.Descriptor attribute) (Orange.network.snap.NetworkInfo attribute) (Orange.utils.addons.OrangeAddOn attribute) (Orange.utils.addons.OrangeAddOnRepository attribute) (Orange.utils.addons.OrangeRegisteredAddOn attribute) native() (Orange.data.Instance method) (Orange.data.Value method) (Orange.statistics.distribution.Distribution method) nEdgeTypes (Orange.network.deprecated.Graph attribute) needs (Orange.feature.scoring.Score attribute) negate (Orange.data.filter.Filter attribute) NeighbourhoodBubble (in module Orange.projection.som) NeighbourhoodEpanechicov (in module Orange.projection.som) NeighbourhoodGaussian (in module Orange.projection.som) network , [] community detection in graphs deprecated network classes reading and writing networks Network (class in Orange.network.deprecated) network_list (Orange.network.snap.SNAP attribute) NetworkClustering (class in Orange.network) NetworkInfo (class in Orange.network.snap) NetworkOptimization (class in Orange.network)

next() (Orange.utils.counters.BooleanCounter method) (Orange.utils.counters.CanonicFuncCounter method) (Orange.utils.counters.LimitedCounter method) (Orange.utils.counters.MofNCounter method) (Orange.utils.counters.NondecreasingCounter method) nipals_xy() (in module Orange.regression.pls) Node (class in Orange.classification.tree) (class in Orange.projection.som) node_classifier (Orange.classification.tree.Node attribute) node_learner (Orange.classification.tree.TreeLearner attribute) (Orange.multitarget.tree.MultiTreeLearner attribute) (Orange.regression.tree.TreeLearner attribute) node_type (Orange.classification.tree.C45Node attribute) nodes (Orange.network.snap.NetworkInfo attribute) NondecreasingCounter (class in Orange.utils.counters) normalize() (Orange.misc.SymMatrix method) (Orange.statistics.contingency.Domain method) (Orange.statistics.contingency.Table method) (Orange.statistics.distribution.Distribution method) normalize_continuous (Orange.data.continuization.DomainContinuizer attribute) normalize_matrix() (in module Orange.regression.pls) NormalizeContinuous (built-in class) normalized (Orange.statistics.distribution.Distribution attribute) normalizers (Orange.distance.DistanceNormalized attribute) NPV() (in module Orange.evaluation.scoring) num_labels (Orange.multilabel.multiknn.MultikNNLearner attribute) number_of_decimals (Orange.feature.Continuous attribute) number_of_iterations (Orange.evaluation.testing.ExperimentResults attribute) number_of_learners (Orange.evaluation.testing.ExperimentResults attribute) nVertices (Orange.network.deprecated.Graph attribute)

O

objects (Orange.clustering.hierarchical.HierarchicalCluster.mapping attribute) (Orange.network.deprecated.Graph attribute) OK (Orange.classification.logreg.LogRegFitter attribute) one_fold_with_indices() (Orange.evaluation.testing.Evaluation method) oper (Orange.data.filter.ValueFilterContinous attribute) (Orange.data.filter.ValueFilterString attribute) optimization (Orange.network.deprecated.Network attribute) optimize_separation() (Orange.projection.linear.FreeViz method) Orange.classification (module) Orange.classification.bayes (module) Orange.classification.knn (module) Orange.classification.logreg (module) Orange.classification.rules.BeamFinder (class in Orange.classification.rules) Orange.classification.rules.Evaluator (class in Orange.classification.rules) Orange.classification.rules.Evaluator_Entropy (class in Orange.classification.rules) Orange.classification.rules.Evaluator_Laplace (class in Orange.classification.rules) Orange.classification.rules.Evaluator_LRS (class in Orange.classification.rules) Orange.classification.rules.Evaluator_mEVC (class in Orange.classification.rules) Orange.classification.rules.Finder (class in Orange.classification.rules) Orange.classification.rules.Rule (class in Orange.classification.rules) Orange.classification.rules.RuleLearner (class in Orange.classification.rules) Orange.clustering.consensus (module) Orange.clustering.hierarchical (module) Orange.clustering.kmeans (module) Orange.data.outliers (module) Orange.data.preprocess (module) Orange.data.preprocess.scaling (module) Orange.data.sample (module) Orange.ensemble (module) Orange.evaluation.scoring (module) Orange.evaluation.testing (module) Orange.feature (module) Orange.misc (module) Orange.multilabel.br (module) Orange.multilabel.brknn (module) Orange.multilabel.lp (module) Orange.multilabel.mlknn (module) Orange.multilabel.multiknn (module) Orange.multitarget (module) Orange.multitarget.tree (module) Orange.network (module) Orange.network.community (module) Orange.network.deprecated (module) Orange.network.network (module) Orange.network.readwrite (module)

Orange.network.snap (module) Orange.projection.correspondence (module) Orange.projection.linear (module) Orange.projection.mds (module) Orange.projection.som (module) Orange.regression.base (module) Orange.regression.earth (module) Orange.regression.lasso (module) Orange.regression.linear (module) Orange.regression.pls (module) Orange.regression.tree (module) Orange.statistics (module) Orange.statistics.contingency (module) Orange.statistics.estimate (module) Orange.tuning (module) Orange.utils (module) Orange.utils.addons (module) Orange.utils.counters (module) Orange.utils.environ (module) Orange.utils.render (module) Orange.utils.selection (module) OrangeAddOn (class in Orange.utils.addons) OrangeAddOnInRepo (class in Orange.utils.addons) OrangeAddOnInstalled (class in Orange.utils.addons) OrangeAddOnRepository (class in Orange.utils.addons) OrangeDefaultAddOnRepository (class in Orange.utils.addons) OrangeRegisteredAddOn (class in Orange.utils.addons) order_leaves() (in module Orange.clustering.hierarchical) OrderAttributes (class in Orange.feature.scoring) ordered (Orange.feature.Descriptor attribute) ordered_column_indices() (Orange.projection.correspondence.CA method) ordered_row_indices() (Orange.projection.correspondence.CA method) Ordinal2Continuous (built-in class) original_distances (Orange.projection.mds.MDS attribute) outerDistribution (Orange.statistics.contingency.Table attribute) outerVariable (Orange.statistics.contingency.Table attribute) outlier detection outlier detection OutlierDetection (class in Orange.data.outliers) output_domain (Orange.projection.linear.Projector attribute) overwrite_matrix (Orange.clustering.hierarchical.HierarchicalClustering attribute) owner (Orange.data.Table attribute) owns_instances (Orange.data.Table attribute)

P

P (Orange.classification.logreg.LogRegClassifier attribute) p (Orange.data.sample.SubsetIndicesN attribute) P (Orange.regression.pls.PLSRegression attribute) p() (Orange.classification.bayes.NaiveClassifier method) p0 (Orange.data.sample.SubsetIndices2 attribute) p_attr() (Orange.statistics.contingency.ClassVar method) , [] (Orange.statistics.contingency.VarVar method) , [] p_class() (Orange.statistics.contingency.VarClass method) , [] p_vals (Orange.regression.lasso.LassoRegression attribute) (Orange.regression.linear.LinearRegression attribute) PackingException (class in Orange.utils.addons) parameter (Orange.tuning.Tune1Parameter attribute) parameters (Orange.tuning.TuneMParameters attribute) parse_pajek() (in module Orange.network.readwrite) parsexml() (Orange.utils.addons.OrangeAddOn method) PCA (class in Orange.projection.linear) PcaProjector (class in Orange.projection.linear) PearsonR (class in Orange.distance) PearsonRDistance (class in Orange.distance) percentile() (Orange.statistics.distribution.Continuous method) permute() (Orange.clustering.hierarchical.HierarchicalCluster method) permute_responses() (in module Orange.regression.lasso) plot_evimp() (in module Orange.regression.earth) plot_scree_diagram() (Orange.projection.correspondence.CA method) plot_silhouette() (Orange.clustering.kmeans static method) PLSRegression (class in Orange.regression.pls) PLSRegressionLearner (class in Orange.regression.pls) points (Orange.feature.discretization.EqualWidthDiscretizer attribute) (Orange.feature.discretization.IntervalDiscretizer attribute) (Orange.projection.mds.MDS attribute) PolyKernelWrapper (class in Orange.classification.svm.kernels) pos (Orange.projection.som.Node attribute) position (ClassifierFromVarFD attribute) (Orange.data.filter.SameValue attribute) (Orange.data.filter.ValueFilter attribute) postorder() (in module Orange.clustering.hierarchical) PPV() (in module Orange.evaluation.scoring)

Precision() (in module Orange.evaluation.scoring) predict() (Orange.regression.earth.EarthClassifier method) preferred_directory (Orange.utils.addons.OrangeAddOn attribute) preorder() (in module Orange.clustering.hierarchical) prepare() (Orange.utils.addons.OrangeRegisteredAddOn method) PreprocessedLearner (class in Orange.tuning) PreprocessorList (class in Orange.data.preprocess) Pricipal Component Analysis print_rules() (in module Orange.associate) printline() (Orange.utils.ConsoleProgressBar method) prob (Orange.data.filter.Random attribute) prob_thresh (Orange.classification.tree.C45Learner attribute) probabilities (Orange.evaluation.testing.TestedExample attribute) (Orange.statistics.estimate.ConditionalEstimatorFromDistribution attribute) (Orange.statistics.estimate.EstimatorFromDistribution attribute) Probability Estimation progress_callback (Orange.clustering.hierarchical.HierarchicalClustering attribute) (Orange.projection.mds.MDS attribute) projected_distances (Orange.projection.mds.MDS attribute) projection linear multidimensional scaling (mds) self-organizing map (SOM) projection (Orange.projection.linear.Projector attribute) projection, Fisher Discriminant Analysis projection, Principal Component Analysis Projector (class in Orange.projection.linear) proportion_test() (Orange.evaluation.testing.Evaluation method) prune (Orange.classification.tree.C45Learner attribute) prune() (in module Orange.clustering.hierarchical) pruned() (in module Orange.clustering.hierarchical) Pruner (class in Orange.classification.tree) Pruner_m (class in Orange.classification.tree) Pruner_SameMajority (class in Orange.classification.tree) pruning classification trees purge() (Orange.statistics.basic.Domain method) Python (class in Orange.feature)

Q

Q (Orange.regression.pls.PLSRegression attribute) quality (Orange.classification.rules.Orange.classification.rules.Rule attribute)

query (Orange.data.sql.SQLReader attribute)

R

r2 (Orange.regression.linear.LinearRegression attribute) R2() (in module Orange.evaluation.scoring) r2adj (Orange.regression.linear.LinearRegression attribute) radial_anchors() (Orange.projection.linear.FreeViz method) radial_fruchterman_reingold() (Orange.network.deprecated.NetworkOptimization method) radius_seq() (Orange.projection.som.Solver method) RAE() (in module Orange.evaluation.scoring) Random (class in Orange.data.filter) (class in Orange.feature.imputation) (class in Orange.misc) random forest random() (Orange.network.deprecated.NetworkOptimization method) (Orange.network.GraphLayout method) (Orange.statistics.distribution.Distribution method) random_anchors() (Orange.projection.linear.FreeViz method) random_generator (Orange.classification.tree.SimpleTreeLearner attribute) (Orange.data.Table attribute) (Orange.data.filter.Random attribute) (Orange.data.sample.SubsetIndices attribute) (Orange.feature.Descriptor attribute) (Orange.regression.tree.SimpleTreeLearner attribute) (Orange.statistics.distribution.Distribution attribute) random_instance() (Orange.data.Table method) RandomForestClassifier (class in Orange.ensemble.forest) RandomForestLearner (class in Orange.ensemble.forest) randomvalue() (Orange.feature.Descriptor method) randseed (Orange.data.sample.SubsetIndices attribute) rank_weight (Orange.classification.knn.kNNClassifier attribute) (Orange.classification.knn.kNNLearner attribute) RBFKernelWrapper (class in Orange.classification.svm.kernels) read() (in module Orange.network.readwrite) (Orange.network.deprecated.Network static method) (Orange.network.snap.NetworkInfo method) read_gml() (in module Orange.network.readwrite) read_gpickle() (in module Orange.network.readwrite) read_pajek() (in module Orange.network.readwrite) reading and writing networks Recall() (in module Orange.evaluation.scoring) RectangularTopology (in module Orange.projection.som) ReduceByUnknown (Orange.feature.scoring.Score attribute) reference_instance (Orange.projection.som.Node attribute) refiner (Orange.classification.rules.Orange.classification.rules.BeamFinder attribute) refresh_addons() (in module Orange.utils.addons) refreshdata() (Orange.utils.addons.OrangeAddOnRepository method) register_addon() (in module Orange.utils.addons) registered_addons (in module Orange.utils.addons) regression , [], [], [], [] mean tree regression tree RelativeFrequency (class in Orange.statistics.estimate) Relevance (class in Orange.feature.scoring) Relief (class in Orange.distance) (class in Orange.feature.scoring) , [] ReliefDistance (class in Orange.distance)

remove() (Orange.evaluation.testing.ExperimentResults method) remove_duplicates() (Orange.data.Table method) remove_meta() (Orange.data.Domain method) (Orange.data.Instance method) remove_meta_attribute() (Orange.data.Table method) RemoveContinuous (class in Orange.data.preprocess) RemoveDiscrete (class in Orange.data.preprocess) RemoveUnusedValues (class in Orange.data.preprocess) repel_g (Orange.projection.linear.FreeViz attribute) repository (Orange.network.snap.NetworkInfo attribute) (Orange.utils.addons.OrangeAddOnInRepo attribute) repository_list_filename() (in module Orange.utils.addons) RepositoryException (class in Orange.utils.addons) rescale_data() (Orange.data.preprocess.scaling.ScaleData method) rescaleData() (Orange.data.preprocess.scaling.ScaleData method) reset() (Orange.misc.Random method) residuals (Orange.regression.linear.LinearRegression attribute) results (Orange.evaluation.testing.ExperimentResults attribute) return_what (Orange.tuning.TuneParameters attribute) returnIndices (Orange.network.deprecated.Graph attribute) RFE (class in Orange.classification.svm) (class in Orange.data.preprocess) right (Orange.clustering.hierarchical.HierarchicalCluster attribute) RMSE() (in module Orange.evaluation.scoring) rnd_correction() (Orange.data.preprocess.scaling.ScaleData method) rndCorrection() (Orange.data.preprocess.scaling.ScaleData method) rotate_components() (Orange.network.GraphLayout method) (Orange.network.NetworkOptimization method) rotate_vertices() (Orange.network.GraphLayout method) (Orange.network.NetworkOptimization method) row_factors() (Orange.projection.correspondence.CA method) row_inertia() (Orange.projection.correspondence.CA method) row_principal_axes (Orange.projection.correspondence.CA attribute) row_profiles() (Orange.projection.correspondence.CA method) RRSE() (in module Orange.evaluation.scoring) RSE() (in module Orange.evaluation.scoring) rule induction rule_filter (Orange.classification.rules.Orange.classification.rules.BeamFinder attribute) rule_finder (Orange.classification.rules.Orange.classification.rules.RuleLearner attribute) rule_stopping (Orange.classification.rules.Orange.classification.rules.RuleLearner attribute) rule_to_string() (Orange.classification.rules static method) RuleCovererAndRemover (class in Orange.classification.rules) run() (Orange.clustering.kmeans.Clustering method) (Orange.projection.mds.MDS method) runone() (Orange.clustering.kmeans.Clustering method)

S

S2NHeuristicLearner (class in Orange.projection.linear) same_majority_pruning (Orange.classification.tree.TreeLearner attribute) (Orange.regression.tree.TreeLearner attribute) SameValue (class in Orange.data.filter) Sample (class in Orange.data.preprocess) Sampling save() (Orange.network.deprecated.Network method) save_gml() (Orange.network.deprecated.Network method) save_pajek() (Orange.network.deprecated.Network method) save_projection_as_tab_data() (Orange.data.preprocess.scaling.ScaleLinProjData method) (Orange.data.preprocess.scaling.ScaleLinProjData3D method) save_repositories() (in module Orange.utils.addons) saveProjectionAsTabData() (Orange.data.preprocess.scaling.ScaleLinProjData method) (Orange.data.preprocess.scaling.ScaleLinProjData3D method) scale (Orange.projection.linear.Projector attribute) scale_example_value() (Orange.data.preprocess.scaling.ScaleData method) ScaleData (class in Orange.data.preprocess.scaling) scaleExampleValue() (Orange.data.preprocess.scaling.ScaleData method) ScaleLinProjData (class in Orange.data.preprocess.scaling) ScaleLinProjData3D (class in Orange.data.preprocess.scaling) ScalePolyvizData (class in Orange.data.preprocess.scaling) ScaleScatterPlotData (class in Orange.data.preprocess.scaling) scaling scientific_format (Orange.feature.Continuous attribute) Score (class in Orange.feature.scoring) score (Orange.feature.scoring.OrderAttributes attribute) score_all() (in module Orange.feature.scoring) score_distance_to_centroids() (Orange.clustering.kmeans static method) score_fast_silhouette() (Orange.clustering.kmeans static method) score_silhouette() (Orange.clustering.kmeans static method) ScoreEarthImportance (class in Orange.regression.earth) ScoreFeature (class in Orange.ensemble.forest) ScoreFromProbabilities (class in Orange.feature.scoring) ScoreSVMWeights (class in Orange.classification.svm) scoring (Orange.clustering.kmeans.Clustering attribute) scree_plot() (Orange.projection.linear.PcaProjector method) search_index() (Orange.utils.addons.OrangeAddOnRepository method) select() (Orange.data.Table method) (Orange.feature.selection static method) select_above_threshold() (Orange.feature.selection static method) select_best() (in module Orange.utils.selection) select_best_index() (in module Orange.utils.selection) select_ref() (Orange.data.Table method) select_relief() (Orange.feature.selection static method) selection selectNRandom() (in module Orange.data.preprocess) selectPRandom() (in module Orange.data.preprocess) self-organizing map (SOM) Sensitivity() (in module Orange.evaluation.scoring) set_class() (Orange.data.Instance method) set_classes() (Orange.data.Instance method) set_continuizer() (Orange.regression.base.BaseRegressionLearner method) set_distance_matrix() (Orange.data.outliers.OutlierDetection method) set_examples() (Orange.data.outliers.OutlierDetection method) set_graph() (Orange.network.GraphLayout method) set_imputer() (Orange.regression.base.BaseRegressionLearner method) set_items() (Orange.network.BaseGraph method) set_knn() (Orange.data.outliers.OutlierDetection method) set_links() (Orange.network.BaseGraph method) set_network() (Orange.network.NetworkOptimization method) set_result() (Orange.evaluation.testing.TestedExample method) set_state() (Orange.utils.ConsoleProgressBar method) set_weight() (Orange.data.Instance method) setcost() (Orange.misc.CostMatrix method) show_all() (Orange.network.deprecated.Network method) show_vertices() (Orange.network.deprecated.Network method) shuffle() (Orange.data.Table method) sigma (Orange.statistics.distribution.Gaussian attribute) SimpleTreeLearner (class in Orange.classification.tree) (class in Orange.regression.tree) SINGLE (in module Orange.clustering.hierarchical) Singularity (Orange.classification.logreg.LogRegFitter attribute) skip_prob (Orange.classification.tree.SimpleTreeLearner attribute) (Orange.regression.tree.SimpleTreeLearner attribute) smacof_step() (Orange.projection.mds.MDS method) smooth (Orange.multilabel.mlknn.MLkNNLearner attribute) SNAP (class in Orange.network.snap) Solver (class in Orange.projection.som) SOMLearner (class in Orange.projection.som) SOMMap (class in Orange.projection.som) SOMSupervisedLearner (class in Orange.projection.som) sort() (in module Orange.associate) (Orange.data.Table method)

sorted_examples (Orange.classification.lookup.ClassifierByDataTable attribute) span (NormalizeContinuous attribute) SparseLinKernel (class in Orange.classification.svm.kernels) SpearmanR (class in Orange.distance) SpearmanRDistance (class in Orange.distance) Specificity() (in module Orange.evaluation.scoring) split (Orange.classification.tree.TreeLearner attribute) (Orange.regression.tree.TreeLearner attribute) split_by_iterations() (in module Orange.evaluation.scoring) split_in_two (Orange.feature.discretization.BiModal attribute) SplitConstructor (class in Orange.classification.tree) SplitConstructor_Combined (class in Orange.classification.tree) SplitConstructor_ExhaustiveBinary (class in Orange.classification.tree) SplitConstructor_Feature (class in Orange.classification.tree) SplitConstructor_OneAgainstOthers (class in Orange.classification.tree) SplitConstructor_Score (class in Orange.classification.tree) SplitConstructor_Threshold (class in Orange.classification.tree) Splitter (class in Orange.classification.tree) splitter (Orange.classification.tree.TreeLearner attribute) (Orange.regression.tree.TreeLearner attribute) Splitter_IgnoreUnknowns (class in Orange.classification.tree) Splitter_UnknownsAsBranchSizes (class in Orange.classification.tree) Splitter_UnknownsAsSelector (class in Orange.classification.tree) Splitter_UnknownsToAll (class in Orange.classification.tree) Splitter_UnknownsToBranch (class in Orange.classification.tree) Splitter_UnknownsToCommon (class in Orange.classification.tree) Splitter_UnknownsToRandom (class in Orange.classification.tree) SQLReader (class in Orange.data.sql) SQLWriter (class in Orange.data.sql) StackedClassificationLearner (class in Orange.ensemble.stacking) StackedClassifier (class in Orange.ensemble.stacking) stacking standardize (Orange.projection.linear.Projector attribute) state (Orange.utils.counters.BooleanCounter attribute) (Orange.utils.counters.CanonicFuncCounter attribute) (Orange.utils.counters.LimitedCounter attribute) (Orange.utils.counters.MofNCounter attribute) (Orange.utils.counters.NondecreasingCounter attribute) std_coefficients (Orange.regression.linear.LinearRegression attribute) std_error (Orange.regression.linear.LinearRegression attribute) std_errors (Orange.regression.lasso.LassoRegression attribute) step (Orange.feature.discretization.EqualWidthDiscretizer attribute) stepwise() (in module Orange.regression.linear) StepWiseFSS (class in Orange.classification.logreg) stop (Orange.classification.tree.TreeLearner attribute) (Orange.regression.tree.TreeLearner attribute) StopCriteria (class in Orange.classification.tree) StopCriteria_common (class in Orange.classification.tree) store_contingencies (Orange.classification.tree.TreeLearner attribute) (Orange.regression.tree.TreeLearner attribute) store_curve (Orange.tuning.ThresholdLearner attribute) store_distributions (Orange.classification.tree.TreeLearner attribute) (Orange.regression.tree.TreeLearner attribute) store_examples (Orange.associate.AssociationRulesInducer attribute) (Orange.associate.AssociationRulesSparseInducer attribute) store_instances (Orange.classification.tree.TreeLearner attribute) (Orange.regression.tree.TreeLearner attribute) store_node_classifier (Orange.classification.tree.TreeLearner attribute) (Orange.regression.tree.TreeLearner attribute) stratified (Orange.data.sample.SubsetIndices attribute) strength (Orange.associate.AssociationRule attribute) stress (Orange.projection.mds.MDS attribute) String (class in Orange.feature) subgroup discovery subset (Orange.classification.tree.C45Learner attribute) SubsetIndices (class in Orange.data.sample) SubsetIndices.NotStratified (in module Orange.data.sample) SubsetIndices.Stratified (in module Orange.data.sample) SubsetIndices.StratifiedIfPossible (in module Orange.data.sample) SubsetIndices2 (class in Orange.data.sample) SubsetIndicesCV (class in Orange.data.sample) SubsetIndicesN (class in Orange.data.sample) subtransformer (TransformValue attribute) suggest_version() (in module Orange.utils.addons) sum (Orange.statistics.basic.Variable attribute) sum2 (Orange.statistics.basic.Variable attribute) support (Orange.associate.AssociationRule attribute) (Orange.associate.AssociationRulesInducer attribute) (Orange.associate.AssociationRulesSparseInducer attribute) support vector machines (SVM) supports_continuous (Orange.statistics.estimate.Estimator attribute) supports_discrete (Orange.statistics.estimate.Estimator attribute) svalue (Orange.data.Value attribute) svd_xy() (in module Orange.regression.pls) SVMLearner (class in Orange.classification.svm) SVMLearnerEasy (class in Orange.classification.svm) SVMLearnerSparse (class in Orange.classification.svm) swap() (Orange.clustering.hierarchical.HierarchicalCluster method) SymMatrix (class in Orange.misc) systemwide (Orange.utils.addons.OrangeRegisteredAddOn attribute)

T

T (Orange.regression.pls.PLSRegression attribute) t_scores (Orange.regression.linear.LinearRegression attribute) table value imputation Table (class in Orange.data) (class in Orange.statistics.contingency) table_to_svm_format() (Orange.classification.svm static method) tags (Orange.utils.addons.OrangeAddOn attribute) test_on_data() (Orange.evaluation.testing.Evaluation method) test_with_indices() (Orange.evaluation.testing.Evaluation method) tested (Orange.classification.tree.C45Node attribute) TestedExample (class in Orange.evaluation.testing) Testing threshold (Orange.feature.discretization.ThresholdDiscretizer attribute) (Orange.tuning.ThresholdClassifier attribute) threshold_function() (Orange.feature.scoring.Score method) (Orange.multitarget.tree.MultitargetVariance method) ThresholdClassifier (class in Orange.tuning) ThresholdDiscretizer (class in Orange.feature.discretization) ThresholdLearner (class in Orange.tuning) to_numpy() (Orange.data.Table method) to_numpyMA() (Orange.data.Table method) to_orange_network() (Orange.network.BaseGraph method) to_string() (Orange.classification.tree.C45Classifier method) (Orange.classification.tree.TreeClassifier method) (Orange.regression.earth.EarthClassifier method) (Orange.regression.lasso.LassoRegression method) (Orange.regression.linear.LinearRegression method) (Orange.regression.pls.PLSRegression method) (Orange.regression.tree.TreeClassifier method) top_cluster_membership() (in module Orange.clustering.hierarchical) top_clusters() (in module Orange.clustering.hierarchical)

top_rated() (Orange.feature.selection static method) topology (Orange.projection.som.Map attribute) torgerson() (Orange.projection.mds.MDS method) train_batch() (Orange.projection.som.Solver method) train_sequential() (Orange.projection.som.Solver method) train_step_batch() (Orange.projection.som.Solver method) train_step_sequential() (Orange.projection.som.Solver method) transform_unknowns (ClassifierFromVar attribute) (ClassifierFromVarFD attribute) transformer (ClassifierFromVar attribute) (ClassifierFromVarFD attribute) TransformValue (built-in class) translate() (Orange.data.Table method) , [] tree (Orange.classification.tree.C45Classifier attribute) (Orange.classification.tree.TreeClassifier attribute) (Orange.regression.tree.TreeClassifier attribute) tree_size() (Orange.classification.tree.Node method) TreeClassifier (class in Orange.classification.tree) (class in Orange.regression.tree) TreeLearner (class in Orange.classification.tree) (class in Orange.regression.tree) trials (Orange.classification.tree.C45Learner attribute) Tune1Parameter (class in Orange.tuning) tune_parameters() (Orange.classification.svm.SVMLearner method) TuneMParameters (class in Orange.tuning) TuneParameters (class in Orange.tuning) tuning type (Orange.network.snap.NetworkInfo attribute)

U

U (Orange.regression.pls.PLSRegression attribute) uninstall() (Orange.utils.addons.OrangeAddOnInstalled method) (Orange.utils.addons.OrangeRegisteredAddOn method) unit_coords() (Orange.projection.som.Map method) unit_distances() (Orange.projection.som.Map method) unknowns (Orange.statistics.distribution.Distribution attribute) unknowns_treatment (Orange.feature.scoring.MSE attribute) (Orange.feature.scoring.Score attribute) UnknownsAsValue (Orange.feature.scoring.Score attribute) UnknownsToCommon (Orange.feature.scoring.Score attribute) unordered CN2

unregister_addon() (in module Orange.utils.addons) update() (Orange.data.sql.SQLReader method) update_default_repositories() (in module Orange.utils.addons) url (Orange.utils.addons.OrangeAddOnRepository attribute) use_class (Orange.feature.imputation.ModelConstructor attribute) used_attributes() (Orange.regression.earth.EarthClassifier method) uses (Orange.misc.Random attribute) utils , [], [] counters render

V

validate_architecture() (Orange.utils.addons.OrangeAddOn method) validate_description() (Orange.utils.addons.OrangeAddOn method) validate_id() (Orange.utils.addons.OrangeAddOn method) validate_name() (Orange.utils.addons.OrangeAddOn method) validate_version() (Orange.utils.addons.OrangeAddOn method) Value (class in Orange.data) value (Discrete2Continuous attribute) (Orange.data.Value attribute) (Orange.data.filter.SameValue attribute) value_type (Orange.data.Value attribute) ValueFilter (class in Orange.data.filter) ValueFilterContinous (class in Orange.data.filter) ValueFilterDiscrete (class in Orange.data.filter) ValueFilterString (class in Orange.data.filter) ValueFilterStringList (class in Orange.data.filter) Values (class in Orange.data.filter) values (Orange.data.filter.ValueFilterDiscrete attribute) (Orange.data.filter.ValueFilterStringList attribute) (Orange.feature.Discrete attribute) (Orange.tuning.Tune1Parameter attribute) values() (Orange.statistics.distribution.Distribution method)

var() (Orange.statistics.distribution.Continuous method) (Orange.statistics.distribution.Gaussian method) var_type (Orange.data.Value attribute) (Orange.feature.Descriptor attribute) VarClass (class in Orange.statistics.contingency) Variable (class in Orange.statistics.basic) variable (Orange.data.Value attribute) (Orange.statistics.basic.Variable attribute) (Orange.statistics.contingency.Class attribute) (Orange.statistics.distribution.Distribution attribute) variables (Orange.classification.lookup.ClassifierByDataTable attribute) (Orange.classification.lookup.ClassifierByLookupTable attribute) (Orange.data.Domain attribute) variance_sum (Orange.projection.linear.PcaProjector attribute) variances (Orange.projection.linear.PcaProjector attribute) varType (Orange.statistics.contingency.Table attribute) VarVar (class in Orange.statistics.contingency) VarVar() (Orange.statistics.contingency.VarVar method) vectors() (Orange.projection.som.Map method) verbose (Orange.tuning.TuneParameters attribute) version (Orange.data.Domain attribute) (Orange.data.Table attribute) (Orange.utils.addons.OrangeAddOn attribute) version_str (Orange.utils.addons.OrangeAddOn attribute) vertex_distances() (Orange.network.deprecated.NetworkOptimization method) (Orange.network.GraphLayout method)

W

W (Orange.regression.pls.PLSRegression attribute) wald_Z (Orange.classification.logreg.LogRegClassifier attribute) WARD (in module Orange.clustering.hierarchical) weight_ID (Orange.classification.knn.FindNearest attribute) weight_id (Orange.classification.knn.kNNClassifier attribute) (Orange.classification.knn.kNNLearner attribute) (Orange.classification.rules.Orange.classification.rules.Rule attribute) (Orange.tuning.TuneParameters attribute) weights (Orange.evaluation.testing.ExperimentResults attribute) which_var (ClassifierFromVar attribute) widget_doc_skeleton() (Orange.utils.addons.OrangeRegisteredAddOn method)

window (Orange.classification.tree.C45Learner attribute) worst_acceptable (Orange.classification.tree.SplitConstructor_Score attribute) (Orange.classification.tree.TreeLearner attribute) (Orange.regression.tree.TreeLearner attribute) WRACCEvaluator (class in Orange.classification.rules) write() (in module Orange.network.readwrite) (Orange.data.sql.SQLWriter method) write_gml() (in module Orange.network.readwrite) write_gpickle() (in module Orange.network.readwrite) write_pajek() (in module Orange.network.readwrite)

X

x_vars (Orange.regression.pls.PLSRegression attribute)

Y

y_vars (Orange.regression.pls.PLSRegression attribute)

Z

z_values() (Orange.data.outliers.OutlierDetection method)

zero_based (Discrete2Continuous attribute) (Orange.data.continuization.DomainContinuizer attribute)