Uses of Class
org.tribuo.multilabel.MultiLabel

Packages that use MultiLabel

Package	Description
org.tribuo.interop.oci	Code for uploading models to Oracle Cloud Infrastructure Data Science, and also for scoring models deployed in Oracle Cloud Infrastructure Data Science.
org.tribuo.interop.onnx	This package contains a Tribuo wrapper around the ONNX Runtime.
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 implementations of binary relevance based multi-label classification algorithms.
org.tribuo.multilabel.ensemble	Provides a multi-label ensemble combiner that performs a (possibly weighted) majority vote among each label independently, along with an implementation of classifier chain ensembles.
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 and a configurable data source suitable for demos and tests.
org.tribuo.multilabel.sgd.fm	Provides an implementation of a multi-label classification factorization machine model using Stochastic Gradient Descent.
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.oci

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

Modifier and Type	Method	Description
List<Prediction<MultiLabel>>	OCIMultiLabelConverter.convertOutput(DenseMatrix scores, int[] numValidFeatures, List<Example<MultiLabel>> examples, ImmutableOutputInfo<MultiLabel> outputIDInfo)
Prediction<MultiLabel>	OCIMultiLabelConverter.convertOutput(DenseVector scores, int numValidFeature, Example<MultiLabel> example, ImmutableOutputInfo<MultiLabel> outputIDInfo)

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

Modifier and Type	Method	Description
List<Prediction<MultiLabel>>	OCIMultiLabelConverter.convertOutput(DenseMatrix scores, int[] numValidFeatures, List<Example<MultiLabel>> examples, ImmutableOutputInfo<MultiLabel> outputIDInfo)
List<Prediction<MultiLabel>>	OCIMultiLabelConverter.convertOutput(DenseMatrix scores, int[] numValidFeatures, List<Example<MultiLabel>> examples, ImmutableOutputInfo<MultiLabel> outputIDInfo)
Prediction<MultiLabel>	OCIMultiLabelConverter.convertOutput(DenseVector scores, int numValidFeature, Example<MultiLabel> example, ImmutableOutputInfo<MultiLabel> outputIDInfo)
Prediction<MultiLabel>	OCIMultiLabelConverter.convertOutput(DenseVector scores, int numValidFeature, Example<MultiLabel> example, ImmutableOutputInfo<MultiLabel> outputIDInfo)

Uses of MultiLabel in org.tribuo.interop.onnx

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

Modifier and Type	Method	Description
MultiLabel	MultiLabelTransformer.transformToOutput(List<ai.onnxruntime.OnnxValue> value, ImmutableOutputInfo<MultiLabel> outputIDInfo)

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

Modifier and Type	Method	Description
List<MultiLabel>	MultiLabelTransformer.transformToBatchOutput(List<ai.onnxruntime.OnnxValue> value, ImmutableOutputInfo<MultiLabel> outputIDInfo)
List<Prediction<MultiLabel>>	MultiLabelTransformer.transformToBatchPrediction(List<ai.onnxruntime.OnnxValue> value, ImmutableOutputInfo<MultiLabel> outputIDInfo, int[] numValidFeatures, List<Example<MultiLabel>> examples)
Prediction<MultiLabel>	MultiLabelTransformer.transformToPrediction(List<ai.onnxruntime.OnnxValue> value, ImmutableOutputInfo<MultiLabel> outputIDInfo, int numValidFeatures, Example<MultiLabel> example)

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

Modifier and Type	Method	Description
List<MultiLabel>	MultiLabelTransformer.transformToBatchOutput(List<ai.onnxruntime.OnnxValue> value, ImmutableOutputInfo<MultiLabel> outputIDInfo)
List<Prediction<MultiLabel>>	MultiLabelTransformer.transformToBatchPrediction(List<ai.onnxruntime.OnnxValue> value, ImmutableOutputInfo<MultiLabel> outputIDInfo, int[] numValidFeatures, List<Example<MultiLabel>> examples)
MultiLabel	MultiLabelTransformer.transformToOutput(List<ai.onnxruntime.OnnxValue> value, ImmutableOutputInfo<MultiLabel> outputIDInfo)
Prediction<MultiLabel>	MultiLabelTransformer.transformToPrediction(List<ai.onnxruntime.OnnxValue> value, ImmutableOutputInfo<MultiLabel> outputIDInfo, int numValidFeatures, Example<MultiLabel> example)
Prediction<MultiLabel>	MultiLabelTransformer.transformToPrediction(List<ai.onnxruntime.OnnxValue> value, ImmutableOutputInfo<MultiLabel> outputIDInfo, int numValidFeatures, Example<MultiLabel> example)

Uses of MultiLabel in org.tribuo.interop.tensorflow

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

Modifier and Type	Method	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	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	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	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	Description
static final MultiLabel	MultiLabelFactory.UNKNOWN_MULTILABEL	The sentinel unknown multi-label output used to signal there is no ground truth value.

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)
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	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.
boolean	ImmutableMultiLabelInfo.domainAndIDEquals(ImmutableOutputInfo<MultiLabel> other)

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

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

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

Uses of MultiLabel in org.tribuo.multilabel.ensemble

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

Modifier and Type	Method	Description
Prediction<MultiLabel>	MultiLabelVotingCombiner.combine(ImmutableOutputInfo<MultiLabel> outputInfo, List<Prediction<MultiLabel>> predictions)
Prediction<MultiLabel>	MultiLabelVotingCombiner.combine(ImmutableOutputInfo<MultiLabel> outputInfo, List<Prediction<MultiLabel>> predictions, float[] weights)
WeightedEnsembleModel<MultiLabel>	CCEnsembleTrainer.train(Dataset<MultiLabel> examples)
WeightedEnsembleModel<MultiLabel>	CCEnsembleTrainer.train(Dataset<MultiLabel> examples, Map<String,com.oracle.labs.mlrg.olcut.provenance.Provenance> runProvenance)
WeightedEnsembleModel<MultiLabel>	CCEnsembleTrainer.train(Dataset<MultiLabel> examples, Map<String,com.oracle.labs.mlrg.olcut.provenance.Provenance> runProvenance, int invocationCount)

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

Modifier and Type	Method	Description
Prediction<MultiLabel>	MultiLabelVotingCombiner.combine(ImmutableOutputInfo<MultiLabel> outputInfo, List<Prediction<MultiLabel>> predictions)
Prediction<MultiLabel>	MultiLabelVotingCombiner.combine(ImmutableOutputInfo<MultiLabel> outputInfo, List<Prediction<MultiLabel>> predictions)
Prediction<MultiLabel>	MultiLabelVotingCombiner.combine(ImmutableOutputInfo<MultiLabel> outputInfo, List<Prediction<MultiLabel>> predictions, float[] weights)
Prediction<MultiLabel>	MultiLabelVotingCombiner.combine(ImmutableOutputInfo<MultiLabel> outputInfo, List<Prediction<MultiLabel>> predictions, float[] weights)
WeightedEnsembleModel<MultiLabel>	CCEnsembleTrainer.train(Dataset<MultiLabel> examples)
WeightedEnsembleModel<MultiLabel>	CCEnsembleTrainer.train(Dataset<MultiLabel> examples, Map<String,com.oracle.labs.mlrg.olcut.provenance.Provenance> runProvenance)
WeightedEnsembleModel<MultiLabel>	CCEnsembleTrainer.train(Dataset<MultiLabel> examples, Map<String,com.oracle.labs.mlrg.olcut.provenance.Provenance> runProvenance, int invocationCount)

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	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<MultiLabel>	MultiLabelConfusionMatrix.getLabelOrder()	Gets the current label order.
List<Prediction<MultiLabel>>	MultiLabelEvaluationImpl.getPredictions()
MetricTarget<MultiLabel>	MultiLabelMetric.getTarget()
Set<MultiLabel>	MultiLabelConfusionMatrix.observed()

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)	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.
void	MultiLabelConfusionMatrix.setLabelOrder(List<MultiLabel> labelOrder)	Sets the label order used in MultiLabelConfusionMatrix.toString().

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

Modifier	Constructor	Description
	MultiLabelConfusionMatrix(Model<MultiLabel> model, List<Prediction<MultiLabel>> predictions)	Constructs a multi-label confusion matrix for the specified model and predictions.
	MultiLabelConfusionMatrix(Model<MultiLabel> model, List<Prediction<MultiLabel>> predictions)	Constructs a multi-label confusion matrix for the specified model and predictions.
	MultiLabelMetric(MetricTarget<MultiLabel> target, String name, BiFunction<MetricTarget<MultiLabel>,org.tribuo.multilabel.evaluation.MultiLabelMetric.Context,Double> impl)	Constructs a multi-label metric.
	MultiLabelMetric(MetricTarget<MultiLabel> target, String name, BiFunction<MetricTarget<MultiLabel>,org.tribuo.multilabel.evaluation.MultiLabelMetric.Context,Double> impl)	Constructs a multi-label metric.

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()	Generate training and testing datasets.
static com.oracle.labs.mlrg.olcut.util.Pair<Dataset<MultiLabel>,Dataset<MultiLabel>>	MultiLabelDataGenerator.generateDataset()	Generate training and testing datasets.
static MutableDataset<MultiLabel>	MultiLabelGaussianDataSource.generateDataset(int numSamples, float[] yZeroWeights, float[] yOneWeights, float[] yTwoWeights, float[] threshold, boolean[] negate, float variance, float[] xMin, float[] xMax, long seed)	Generates a multi-label output drawn from three gaussian functions.
static Dataset<MultiLabel>	MultiLabelDataGenerator.generateTestData()	Simple test data for checking multi-label trainers.
static Dataset<MultiLabel>	MultiLabelDataGenerator.generateTrainData()	Simple training data for checking multi-label trainers.
OutputFactory<MultiLabel>	MultiLabelGaussianDataSource.getOutputFactory()
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.
Iterator<Example<MultiLabel>>	MultiLabelGaussianDataSource.iterator()

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

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

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

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

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

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

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

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	Description
Prediction<MultiLabel>	LinearSGDModel.predict(Example<MultiLabel> example)

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

Modifier and Type	Method	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	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)