Index

B

bagged_evimp() (in module Orange.regression.earth) base_features() (Orange.regression.earth.EarthClassifier method) base_matrix() (Orange.regression.earth.EarthClassifier method)

Binary Relevance Learner BinaryRelevanceClassifier (class in Orange.multitarget.binary) BinaryRelevanceLearner (class in Orange.multitarget.binary)

C

C (Orange.regression.pls.PLSRegression attribute) Classifier Chain Learner ClassifierChain (class in Orange.multitarget.chain) ClassifierChainLearner (class in Orange.multitarget.chain)

Clustering Tree Learner ClusteringTreeLearner (class in Orange.multitarget.tree) coefs (Orange.regression.pls.PLSRegression attribute)

D

deflationMode (Orange.regression.pls.PLSRegressionLearner attribute)

E

EarthClassifier (class in Orange.regression.earth) EarthLearner (class in Orange.regression.earth) EnsembleClassifierChain (class in Orange.multitarget.chain)

EnsembleClassifierChainLearner (class in Orange.multitarget.chain) evimp() (Orange.regression.earth.EarthClassifier method)

F

fit() (Orange.regression.pls.PLSRegressionLearner method)

G

gcv() (in module Orange.regression.earth)

L

linear model

M

max_depth (Orange.multitarget.tree.ClusteringTreeLearner attribute) maxIter (Orange.regression.pls.PLSRegressionLearner attribute) method (Orange.multitarget.tree.ClusteringTreeLearner attribute) min_instances (Orange.multitarget.tree.ClusteringTreeLearner attribute) min_majority (Orange.multitarget.tree.ClusteringTreeLearner attribute) min_MSE (Orange.multitarget.tree.ClusteringTreeLearner attribute) mt_average_score() (in module Orange.multitarget.scoring) mt_flattened_score() (in module Orange.multitarget.scoring) mt_global_accuracy() (in module Orange.multitarget.scoring) mt_mean_accuracy() (in module Orange.multitarget.scoring)

Multi-target Binary Relevance Classifier Multi-target Binary Relevance Learner Multi-target Classifier Chain Classifier Multi-target Classifier Chain Learner Multi-target Ensemble Classifier Chain Classifier Multi-target Ensemble Classifier Chain Learner Multi-target Neural Network Learner Multi-target Scoring muX (Orange.regression.pls.PLSRegression attribute) muY (Orange.regression.pls.PLSRegression attribute)

N

nComp (Orange.regression.pls.PLSRegressionLearner attribute) Neural Network Classifier Neural Network Learner, [1] NeuralNetworkClassifier (class in Orange.classification.neural)

NeuralNetworkLearner (class in Orange.classification.neural) nipals_xy() (in module Orange.regression.pls) normalize_matrix() (in module Orange.regression.pls)

O

Orange.classification.neural (module) Orange.multitarget (module) Orange.multitarget.binary (module) Orange.multitarget.chain (module) Orange.multitarget.neural (module)

Orange.multitarget.pls (module) Orange.multitarget.scoring (module) Orange.multitarget.tree (module) Orange.regression.earth (module) Orange.regression.pls (module)

P

P (Orange.regression.pls.PLSRegression attribute) plot_evimp() (in module Orange.regression.earth) PLS Classification Learner PLS CLassification Learner PLS Classifier

PLSClassificationLearner (class in Orange.multitarget.pls) PLSClassifier (class in Orange.multitarget.pls) PLSRegression (class in Orange.regression.pls) PLSRegressionLearner (class in Orange.regression.pls) predict() (Orange.regression.earth.EarthClassifier method)

Q

Q (Orange.regression.pls.PLSRegression attribute)

R

random_generator (Orange.multitarget.tree.ClusteringTreeLearner attribute)

regression, [1]

S

ScoreEarthImportance (class in Orange.regression.earth) sigmaX (Orange.regression.pls.PLSRegression attribute) sigmaY (Orange.regression.pls.PLSRegression attribute)

skip_prob (Orange.multitarget.tree.ClusteringTreeLearner attribute) svd_xy() (in module Orange.regression.pls)

T

T (Orange.regression.pls.PLSRegression attribute)

to_string() (Orange.regression.earth.EarthClassifier method) (Orange.regression.pls.PLSRegression method)

U

U (Orange.regression.pls.PLSRegression attribute)

used_attributes() (Orange.regression.earth.EarthClassifier method)

W

W (Orange.regression.pls.PLSRegression attribute)

X

x_vars (Orange.regression.pls.PLSRegression attribute)

xVars (Orange.regression.pls.PLSRegression attribute)

Y

y_vars (Orange.regression.pls.PLSRegression attribute)

yVars (Orange.regression.pls.PLSRegression attribute)