Uses of Class
org.tribuo.multilabel.MultiLabel

Packages that use MultiLabel

Package	Description
org.tribuo.multilabel	Provides classes and infrastructure for working with multi-label classification problems.
org.tribuo.multilabel.baseline	Provides an implementation of independent multi-label classification that wraps a Label Trainer and uses it to make independent predictions of each label.
org.tribuo.multilabel.evaluation	Evaluation classes for multi-label classification using MultiLabel.
org.tribuo.multilabel.example	Provides a multi-label data generator for testing implementations.

Uses of MultiLabel in org.tribuo.multilabel

Classes in org.tribuo.multilabel that implement interfaces with type arguments of type MultiLabel

Modifier and Type	Class	Description
class	ImmutableMultiLabelInfo	An ImmutableOutputInfo for working with multi-label tasks.
class	MultiLabel	A class for multi-label classification.
final class	MultiLabelFactory	A factory for generating MultiLabel objects and their associated OutputInfo and Evaluator objects.
class	MultiLabelInfo	The base class for information about MultiLabel outputs.
class	MutableMultiLabelInfo	A MutableOutputInfo for working with multi-label tasks.

Fields in org.tribuo.multilabel declared as MultiLabel

Modifier and Type	Field	Description
static final MultiLabel	MultiLabelFactory.UNKNOWN_MULTILABEL

Fields in org.tribuo.multilabel with type parameters of type MultiLabel

Modifier and Type	Field	Description
protected Map<String, MultiLabel>	MultiLabelInfo.labels

Methods in org.tribuo.multilabel that return MultiLabel

Modifier and Type	Method	Description
MultiLabel	MultiLabel.copy()
static MultiLabel	MultiLabel.createFromPairList(List<com.oracle.labs.mlrg.olcut.util.Pair<String,Boolean>> dimensions)	Creates a MultiLabel from a list of dimensions.
<V> MultiLabel	MultiLabelFactory.generateOutput(V label)	Parses the MultiLabel value either by toStringing the input and calling parseString(java.lang.String) or if it's a Collection iterating over the elements calling toString on each element in turn and using parseElement(java.lang.String).
MultiLabel	ImmutableMultiLabelInfo.getOutput(int id)
MultiLabel	MultiLabelFactory.getUnknownOutput()
static MultiLabel	MultiLabel.parseString(String s)	Parses a string of the form: dimension-name=output,...,dimension-name=output where output must be readable by Boolean.parseBoolean(String).
static MultiLabel	MultiLabel.parseString(String s, char splitChar)	Parses a string of the form:

Methods in org.tribuo.multilabel that return types with arguments of type MultiLabel

Modifier and Type	Method	Description
ImmutableOutputInfo<MultiLabel>	MultiLabelFactory.constructInfoForExternalModel(Map<MultiLabel, Integer> mapping)
ImmutableOutputInfo<MultiLabel>	MultiLabelInfo.generateImmutableOutputInfo()
MutableOutputInfo<MultiLabel>	MultiLabelFactory.generateInfo()
MutableOutputInfo<MultiLabel>	MultiLabelInfo.generateMutableOutputInfo()
Set<MultiLabel>	ImmutableMultiLabelInfo.getDomain()
Set<MultiLabel>	MultiLabelInfo.getDomain()	Returns a set of MultiLabel, where each has a single Label inside it.
Evaluator<MultiLabel, MultiLabelEvaluation>	MultiLabelFactory.getEvaluator()
Iterator<com.oracle.labs.mlrg.olcut.util.Pair<Integer, MultiLabel>>	ImmutableMultiLabelInfo.iterator()

Methods in org.tribuo.multilabel with parameters of type MultiLabel

Modifier and Type	Method	Description
boolean	MultiLabel.fullEquals(MultiLabel o)
int	ImmutableMultiLabelInfo.getID(MultiLabel output)
void	MutableMultiLabelInfo.observe(MultiLabel output)	Throws IllegalStateException if the MultiLabel contains a Label which has a "," in it.

Method parameters in org.tribuo.multilabel with type arguments of type MultiLabel

Modifier and Type	Method	Description
ImmutableOutputInfo<MultiLabel>	MultiLabelFactory.constructInfoForExternalModel(Map<MultiLabel, Integer> mapping)

Uses of MultiLabel in org.tribuo.multilabel.baseline

Subclasses with type arguments of type MultiLabel in org.tribuo.multilabel.baseline

Modifier and Type	Class	Description
class	IndependentMultiLabelModel	A Model which wraps n binary models, where n is the size of the MultiLabel domain.

Classes in org.tribuo.multilabel.baseline that implement interfaces with type arguments of type MultiLabel

Modifier and Type	Class	Description
class	IndependentMultiLabelTrainer	Trains n independent binary Models, each of which predicts a single Label.

Methods in org.tribuo.multilabel.baseline that return types with arguments of type MultiLabel

Modifier and Type	Method	Description
Optional<Excuse<MultiLabel>>	IndependentMultiLabelModel.getExcuse(Example<MultiLabel> example)
Prediction<MultiLabel>	IndependentMultiLabelModel.predict(Example<MultiLabel> example)
Model<MultiLabel>	IndependentMultiLabelTrainer.train(Dataset<MultiLabel> examples, Map<String, com.oracle.labs.mlrg.olcut.provenance.Provenance> runProvenance)

Method parameters in org.tribuo.multilabel.baseline with type arguments of type MultiLabel

Modifier and Type	Method	Description
Optional<Excuse<MultiLabel>>	IndependentMultiLabelModel.getExcuse(Example<MultiLabel> example)
Prediction<MultiLabel>	IndependentMultiLabelModel.predict(Example<MultiLabel> example)
Model<MultiLabel>	IndependentMultiLabelTrainer.train(Dataset<MultiLabel> examples, Map<String, com.oracle.labs.mlrg.olcut.provenance.Provenance> runProvenance)

Uses of MultiLabel in org.tribuo.multilabel.evaluation

Subclasses with type arguments of type MultiLabel in org.tribuo.multilabel.evaluation

Modifier and Type	Class	Description
class	MultiLabelEvaluator	An Evaluator for MultiLabel problems.

Subinterfaces with type arguments of type MultiLabel in org.tribuo.multilabel.evaluation

Modifier and Type	Interface	Description
interface	MultiLabelEvaluation	A MultiLabel specific ClassifierEvaluation.

Classes in org.tribuo.multilabel.evaluation that implement interfaces with type arguments of type MultiLabel

Modifier and Type	Class	Description
final class	MultiLabelConfusionMatrix	A ConfusionMatrix which accepts MultiLabels.
class	MultiLabelMetric	A EvaluationMetric for evaluating MultiLabel problems.

Methods in org.tribuo.multilabel.evaluation that return types with arguments of type MultiLabel

Modifier and Type	Method	Description
Map<MetricID<MultiLabel>, Double>	MultiLabelEvaluationImpl.asMap()
ConfusionMatrix<MultiLabel>	MultiLabelEvaluationImpl.getConfusionMatrix()
ImmutableOutputInfo<MultiLabel>	MultiLabelConfusionMatrix.getDomain()
BiFunction<MetricTarget<MultiLabel>, org.tribuo.multilabel.evaluation.MultiLabelMetric.Context, Double>	MultiLabelMetrics.getImpl()
List<Prediction<MultiLabel>>	MultiLabelEvaluationImpl.getPredictions()
MetricTarget<MultiLabel>	MultiLabelMetric.getTarget()

Methods in org.tribuo.multilabel.evaluation with parameters of type MultiLabel

Modifier and Type	Method	Description
double	MultiLabelConfusionMatrix.confusion(MultiLabel predicted, MultiLabel truth)
double	MultiLabelEvaluationImpl.confusion(MultiLabel predicted, MultiLabel truth)
double	MultiLabelEvaluationImpl.f1(MultiLabel label)
double	MultiLabelConfusionMatrix.fn(MultiLabel cls)
double	MultiLabelEvaluationImpl.fn(MultiLabel label)
double	MultiLabelConfusionMatrix.fp(MultiLabel cls)
double	MultiLabelEvaluationImpl.fp(MultiLabel label)
double	MultiLabelEvaluationImpl.precision(MultiLabel label)
double	MultiLabelEvaluationImpl.recall(MultiLabel label)
double	MultiLabelConfusionMatrix.support(MultiLabel cls)
double	MultiLabelConfusionMatrix.tn(MultiLabel cls)
double	MultiLabelEvaluationImpl.tn(MultiLabel label)
double	MultiLabelConfusionMatrix.tp(MultiLabel cls)
double	MultiLabelEvaluationImpl.tp(MultiLabel label)

Method parameters in org.tribuo.multilabel.evaluation with type arguments of type MultiLabel

Modifier and Type	Method	Description
protected org.tribuo.multilabel.evaluation.MultiLabelMetric.Context	MultiLabelEvaluator.createContext(Model<MultiLabel> model, List<Prediction<MultiLabel>> predictions)
protected org.tribuo.multilabel.evaluation.MultiLabelMetric.Context	MultiLabelEvaluator.createContext(Model<MultiLabel> model, List<Prediction<MultiLabel>> predictions)
org.tribuo.multilabel.evaluation.MultiLabelMetric.Context	MultiLabelMetric.createContext(Model<MultiLabel> model, List<Prediction<MultiLabel>> predictions)
org.tribuo.multilabel.evaluation.MultiLabelMetric.Context	MultiLabelMetric.createContext(Model<MultiLabel> model, List<Prediction<MultiLabel>> predictions)
protected MultiLabelEvaluation	MultiLabelEvaluator.createEvaluation(org.tribuo.multilabel.evaluation.MultiLabelMetric.Context context, Map<MetricID<MultiLabel>, Double> results, EvaluationProvenance provenance)
protected Set<MultiLabelMetric>	MultiLabelEvaluator.createMetrics(Model<MultiLabel> model)
MultiLabelMetric	MultiLabelMetrics.forTarget(MetricTarget<MultiLabel> tgt)

Constructor parameters in org.tribuo.multilabel.evaluation with type arguments of type MultiLabel

Modifier	Constructor	Description
	MultiLabelConfusionMatrix(Model<MultiLabel> model, List<Prediction<MultiLabel>> predictions)
	MultiLabelConfusionMatrix(Model<MultiLabel> model, List<Prediction<MultiLabel>> predictions)
	MultiLabelMetric(MetricTarget<MultiLabel> target, String name, BiFunction<MetricTarget<MultiLabel>, org.tribuo.multilabel.evaluation.MultiLabelMetric.Context, Double> impl)
	MultiLabelMetric(MetricTarget<MultiLabel> target, String name, BiFunction<MetricTarget<MultiLabel>, org.tribuo.multilabel.evaluation.MultiLabelMetric.Context, Double> impl)

Uses of MultiLabel in org.tribuo.multilabel.example

Methods in org.tribuo.multilabel.example that return types with arguments of type MultiLabel

Modifier and Type	Method	Description
static Example<MultiLabel>	MultiLabelDataGenerator.emptyExample()	Generates an example with no features.
static com.oracle.labs.mlrg.olcut.util.Pair<Dataset<MultiLabel>, Dataset<MultiLabel>>	MultiLabelDataGenerator.generateDataset()
static com.oracle.labs.mlrg.olcut.util.Pair<Dataset<MultiLabel>, Dataset<MultiLabel>>	MultiLabelDataGenerator.generateDataset()
static Dataset<MultiLabel>	MultiLabelDataGenerator.generateTestData()
static Dataset<MultiLabel>	MultiLabelDataGenerator.generateTrainData()
static Example<MultiLabel>	MultiLabelDataGenerator.invalidSparseExample()	Generates an example with the feature ids 1,5,8, which does not intersect with the ids used elsewhere in this class.