Uses of Class
org.tribuo.multilabel.MultiLabel

Packages that use MultiLabel

Package	Description
org.tribuo.interop.tensorflow	Provides an interface to TensorFlow, allowing the training of non-sequential models using any supported Tribuo output type.
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.
org.tribuo.multilabel.sgd.linear	Provides an implementation of a multi-label classification linear model using Stochastic Gradient Descent.

Uses of MultiLabel in org.tribuo.interop.tensorflow

Methods in org.tribuo.interop.tensorflow that return MultiLabel

Modifier and Type	Method and Description
MultiLabel	MultiLabelConverter.convertToOutput(org.tensorflow.Tensor tensor, ImmutableOutputInfo<MultiLabel> outputIDInfo)

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

Modifier and Type	Method and Description
List<MultiLabel>	MultiLabelConverter.convertToBatchOutput(org.tensorflow.Tensor tensor, ImmutableOutputInfo<MultiLabel> outputIDInfo)
List<Prediction<MultiLabel>>	MultiLabelConverter.convertToBatchPrediction(org.tensorflow.Tensor tensor, ImmutableOutputInfo<MultiLabel> outputIDInfo, int[] numValidFeatures, List<Example<MultiLabel>> examples)
Prediction<MultiLabel>	MultiLabelConverter.convertToPrediction(org.tensorflow.Tensor tensor, ImmutableOutputInfo<MultiLabel> outputIDInfo, int numValidFeatures, Example<MultiLabel> example)

Methods in org.tribuo.interop.tensorflow with parameters of type MultiLabel

Modifier and Type	Method and Description
org.tensorflow.Tensor	MultiLabelConverter.convertToTensor(MultiLabel example, ImmutableOutputInfo<MultiLabel> outputIDInfo)

Method parameters in org.tribuo.interop.tensorflow with type arguments of type MultiLabel

Modifier and Type	Method and Description
List<MultiLabel>	MultiLabelConverter.convertToBatchOutput(org.tensorflow.Tensor tensor, ImmutableOutputInfo<MultiLabel> outputIDInfo)
List<Prediction<MultiLabel>>	MultiLabelConverter.convertToBatchPrediction(org.tensorflow.Tensor tensor, ImmutableOutputInfo<MultiLabel> outputIDInfo, int[] numValidFeatures, List<Example<MultiLabel>> examples)
List<Prediction<MultiLabel>>	MultiLabelConverter.convertToBatchPrediction(org.tensorflow.Tensor tensor, ImmutableOutputInfo<MultiLabel> outputIDInfo, int[] numValidFeatures, List<Example<MultiLabel>> examples)
MultiLabel	MultiLabelConverter.convertToOutput(org.tensorflow.Tensor tensor, ImmutableOutputInfo<MultiLabel> outputIDInfo)
Prediction<MultiLabel>	MultiLabelConverter.convertToPrediction(org.tensorflow.Tensor tensor, ImmutableOutputInfo<MultiLabel> outputIDInfo, int numValidFeatures, Example<MultiLabel> example)
Prediction<MultiLabel>	MultiLabelConverter.convertToPrediction(org.tensorflow.Tensor tensor, ImmutableOutputInfo<MultiLabel> outputIDInfo, int numValidFeatures, Example<MultiLabel> example)
org.tensorflow.Tensor	MultiLabelConverter.convertToTensor(List<Example<MultiLabel>> examples, ImmutableOutputInfo<MultiLabel> outputIDInfo)
org.tensorflow.Tensor	MultiLabelConverter.convertToTensor(List<Example<MultiLabel>> examples, ImmutableOutputInfo<MultiLabel> outputIDInfo)
org.tensorflow.Tensor	MultiLabelConverter.convertToTensor(MultiLabel example, ImmutableOutputInfo<MultiLabel> outputIDInfo)

Uses of MultiLabel in org.tribuo.multilabel

Fields in org.tribuo.multilabel declared as MultiLabel

Modifier and Type	Field and Description
static MultiLabel	MultiLabelFactory.UNKNOWN_MULTILABEL

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

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

Methods in org.tribuo.multilabel that return MultiLabel

Modifier and Type	Method and 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 and Description
ImmutableOutputInfo<MultiLabel>	MultiLabelFactory.constructInfoForExternalModel(Map<MultiLabel,Integer> mapping)
ImmutableOutputInfo<MultiLabel>	MultiLabelInfo.generateImmutableOutputInfo()
MutableOutputInfo<MultiLabel>	MultiLabelFactory.generateInfo()
MutableOutputInfo<MultiLabel>	MultiLabelInfo.generateMutableOutputInfo()
Set<MultiLabel>	MultiLabelInfo.getDomain() Returns a set of MultiLabel, where each has a single Label inside it.
Set<MultiLabel>	ImmutableMultiLabelInfo.getDomain()
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 and Description
boolean	MultiLabel.fullEquals(MultiLabel o)
int	ImmutableMultiLabelInfo.getID(MultiLabel output)
static int	MultiLabel.intersectionSize(MultiLabel first, MultiLabel second) The number of labels present in both MultiLabels.
static double	MultiLabel.jaccardScore(MultiLabel first, MultiLabel second) The Jaccard score/index between the two MultiLabels.
void	MutableMultiLabelInfo.observe(MultiLabel output) Throws IllegalStateException if the MultiLabel contains a Label which has a "," in it.
static int	MultiLabel.unionSize(MultiLabel first, MultiLabel second) The number of unique labels across both MultiLabels.

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

Modifier and Type	Method and Description
ImmutableOutputInfo<MultiLabel>	MultiLabelFactory.constructInfoForExternalModel(Map<MultiLabel,Integer> mapping)
DenseVector	MultiLabel.convertToDenseVector(ImmutableOutputInfo<MultiLabel> info) Converts this MultiLabel into a DenseVector using the indices from the output info.
SparseVector	MultiLabel.convertToSparseVector(ImmutableOutputInfo<MultiLabel> info) Converts this MultiLabel into a SparseVector using the indices from the output info.

Uses of MultiLabel in org.tribuo.multilabel.baseline

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

Modifier and Type	Method and 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 and 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

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

Modifier and Type	Method and 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() Get the implementation function for this metric.
List<Prediction<MultiLabel>>	MultiLabelEvaluationImpl.getPredictions()
MetricTarget<MultiLabel>	MultiLabelMetric.getTarget()

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

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

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

Modifier and Type	Method and Description
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 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)
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) Get the metric for the supplied target.
double	MultiLabelEvaluationImpl.get(MetricID<MultiLabel> key)
static double	MultiLabelMetrics.jaccardScore(List<Prediction<MultiLabel>> predictions) The average Jaccard score across the predictions.

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

Constructor and 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 and 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.

Uses of MultiLabel in org.tribuo.multilabel.sgd.linear

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

Modifier and Type	Method and Description
Prediction<MultiLabel>	LinearSGDModel.predict(Example<MultiLabel> example)

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

Modifier and Type	Method and Description
protected SparseVector	LinearSGDTrainer.getTarget(ImmutableOutputInfo<MultiLabel> outputInfo, MultiLabel output)

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

Modifier and Type	Method and Description
protected LinearSGDModel	LinearSGDTrainer.createModel(String name, ModelProvenance provenance, ImmutableFeatureMap featureMap, ImmutableOutputInfo<MultiLabel> outputInfo, LinearParameters parameters)
protected SparseVector	LinearSGDTrainer.getTarget(ImmutableOutputInfo<MultiLabel> outputInfo, MultiLabel output)
Prediction<MultiLabel>	LinearSGDModel.predict(Example<MultiLabel> example)