Index

A

available_data_sets() (in module skmultilearn.dataset)

B

BinaryRelevance (class in skmultilearn.problem_transform)

BRkNNaClassifier (class in skmultilearn.adapt) BRkNNbClassifier (class in skmultilearn.adapt)

C

calculate_gain() (skmultilearn.tree.CorrelationCriterion method) (skmultilearn.tree.EntropyCriterion method) (skmultilearn.tree.GiniCriterion method) calculate_impurity() (skmultilearn.tree.CorrelationCriterion method) (skmultilearn.tree.EntropyCriterion method) (skmultilearn.tree.GiniCriterion method)

ClassificationHeterogeneousFeature (class in skmultilearn.problem_transform) ClassifierChain (class in skmultilearn.problem_transform) clear_data_home() (in module skmultilearn.dataset) CorrelationCriterion (class in skmultilearn.tree)

D

download_dataset() (in module skmultilearn.dataset)

E

EntropyCriterion (class in skmultilearn.tree)

F

find_optm_classifiers() (skmultilearn.problem_transform.StructuredGridSearchCV method) fit() (skmultilearn.adapt.MLARAM method) (skmultilearn.adapt.MLkNN method) (skmultilearn.adapt.MLTSVM method) (skmultilearn.base.MLClassifierBase method) (skmultilearn.ensemble.RakelD method) (skmultilearn.ensemble.RakelO method) (skmultilearn.missing.SMiLE method) (skmultilearn.problem_transform.BinaryRelevance method) (skmultilearn.problem_transform.ClassificationHeterogeneousFeature method) (skmultilearn.problem_transform.ClassifierChain method) (skmultilearn.problem_transform.InstanceBasedLogisticRegression method) (skmultilearn.problem_transform.LabelPowerset method) (skmultilearn.problem_transform.StructuredGridSearchCV method) (skmultilearn.tree.PredictiveClusteringTree method)

fit_predict() (skmultilearn.cluster.FixedLabelSpaceClusterer method) (skmultilearn.cluster.IGraphLabelGraphClusterer method) (skmultilearn.cluster.MatrixLabelSpaceClusterer method) (skmultilearn.cluster.RandomLabelSpaceClusterer method) FixedLabelSpaceClusterer (class in skmultilearn.cluster)

G

get_data_home() (in module skmultilearn.dataset) get_matrix_in_format() (in module skmultilearn.utils)

get_params() (skmultilearn.base.MLClassifierBase method) getParams() (skmultilearn.missing.SMiLE method) GiniCriterion (class in skmultilearn.tree)

I

IGraphLabelGraphClusterer (class in skmultilearn.cluster)

InstanceBasedLogisticRegression (class in skmultilearn.problem_transform) inverse_transform() (skmultilearn.problem_transform.LabelPowerset method)

L

LabelCooccurrenceGraphBuilder (class in skmultilearn.cluster) LabelPowerset (class in skmultilearn.problem_transform) LabelSpacePartitioningClassifier (class in skmultilearn.ensemble)

load_dataset() (in module skmultilearn.dataset) load_dataset_dump() (in module skmultilearn.dataset) load_from_arff() (in module skmultilearn.dataset)

M

MajorityVotingClassifier (class in skmultilearn.ensemble) matrix_creation_function_for_format() (in module skmultilearn.utils) MatrixLabelSpaceClusterer (class in skmultilearn.cluster) measure_per_label() (in module skmultilearn.utils) MLARAM (class in skmultilearn.adapt) MLClassifierBase (class in skmultilearn.base) MLkNN (class in skmultilearn.adapt) MLTSVM (class in skmultilearn.adapt) module skmultilearn skmultilearn.adapt skmultilearn.base skmultilearn.cluster skmultilearn.dataset skmultilearn.ensemble skmultilearn.missing skmultilearn.model_selection skmultilearn.problem_transform skmultilearn.tree skmultilearn.utils

P

predict() (skmultilearn.adapt.MLARAM method) (skmultilearn.adapt.MLkNN method) (skmultilearn.adapt.MLTSVM method) (skmultilearn.base.MLClassifierBase method) (skmultilearn.ensemble.LabelSpacePartitioningClassifier method) (skmultilearn.ensemble.MajorityVotingClassifier method) (skmultilearn.ensemble.RakelD method) (skmultilearn.ensemble.RakelO method) (skmultilearn.missing.SMiLE method) (skmultilearn.problem_transform.BinaryRelevance method) (skmultilearn.problem_transform.ClassificationHeterogeneousFeature method) (skmultilearn.problem_transform.ClassifierChain method) (skmultilearn.problem_transform.InstanceBasedLogisticRegression method) (skmultilearn.problem_transform.LabelPowerset method) (skmultilearn.problem_transform.ProbabilisticClassifierChain method) (skmultilearn.problem_transform.StructuredGridSearchCV method) (skmultilearn.tree.PredictiveClusteringTree method)

predict_proba() (skmultilearn.adapt.MLARAM method) (skmultilearn.adapt.MLkNN method) (skmultilearn.ensemble.MajorityVotingClassifier method) (skmultilearn.ensemble.RakelD method) (skmultilearn.ensemble.RakelO method) (skmultilearn.problem_transform.BinaryRelevance method) (skmultilearn.problem_transform.ClassificationHeterogeneousFeature method) (skmultilearn.problem_transform.ClassifierChain method) (skmultilearn.problem_transform.InstanceBasedLogisticRegression method) (skmultilearn.problem_transform.LabelPowerset method) (skmultilearn.problem_transform.ProbabilisticClassifierChain method) (skmultilearn.problem_transform.StructuredGridSearchCV method) PredictiveClusteringTree (class in skmultilearn.tree) PredictiveClusteringTree.Node (class in skmultilearn.tree) ProbabilisticClassifierChain (class in skmultilearn.problem_transform) ProblemTransformationBase (class in skmultilearn.base)

R

RakelD (class in skmultilearn.ensemble) RakelO (class in skmultilearn.ensemble)

RandomLabelSpaceClusterer (class in skmultilearn.cluster) reset() (skmultilearn.adapt.MLARAM method)

S

save_dataset_dump() (in module skmultilearn.dataset) save_to_arff() (in module skmultilearn.dataset) set_params() (skmultilearn.base.MLClassifierBase method) set_score_request() (skmultilearn.adapt.BRkNNaClassifier method) (skmultilearn.adapt.BRkNNbClassifier method) (skmultilearn.adapt.MLARAM method) (skmultilearn.adapt.MLkNN method) (skmultilearn.adapt.MLTSVM method) (skmultilearn.base.MLClassifierBase method) (skmultilearn.base.ProblemTransformationBase method) (skmultilearn.ensemble.LabelSpacePartitioningClassifier method) (skmultilearn.ensemble.MajorityVotingClassifier method) (skmultilearn.ensemble.RakelD method) (skmultilearn.ensemble.RakelO method) (skmultilearn.problem_transform.BinaryRelevance method) (skmultilearn.problem_transform.ClassificationHeterogeneousFeature method) (skmultilearn.problem_transform.ClassifierChain method) (skmultilearn.problem_transform.InstanceBasedLogisticRegression method) (skmultilearn.problem_transform.LabelPowerset method) (skmultilearn.problem_transform.ProbabilisticClassifierChain method) (skmultilearn.problem_transform.StructuredGridSearchCV method) (skmultilearn.tree.PredictiveClusteringTree method) setParams() (skmultilearn.missing.SMiLE method)

skmultilearn module skmultilearn.adapt module skmultilearn.base module skmultilearn.cluster module skmultilearn.dataset module skmultilearn.ensemble module skmultilearn.missing module skmultilearn.model_selection module skmultilearn.problem_transform module skmultilearn.tree module skmultilearn.utils module SMiLE (class in skmultilearn.missing) StructuredGridSearchCV (class in skmultilearn.problem_transform)

T

transform() (skmultilearn.cluster.LabelCooccurrenceGraphBuilder method) (skmultilearn.problem_transform.LabelPowerset method)