Uses of Interface
org.tribuo.ImmutableOutputInfo

Packages that use ImmutableOutputInfo

Package	Description
org.tribuo	Provides the core interfaces and classes for using Tribuo.
org.tribuo.anomaly	Provides classes and infrastructure for anomaly detection problems.
org.tribuo.anomaly.liblinear	Provides an interface to LibLinear-java for anomaly detection problems.
org.tribuo.anomaly.libsvm	Provides an interface to LibSVM for anomaly detection problems.
org.tribuo.classification	Provides classes and infrastructure for multiclass classification problems.
org.tribuo.classification.ensemble	Provides majority vote ensemble combiners for classification along with an implementation of multiclass Adaboost.
org.tribuo.classification.evaluation	Evaluation classes for multi-class classification.
org.tribuo.classification.liblinear	Provides an interface to LibLinear-java for classification problems.
org.tribuo.classification.libsvm	Provides an interface to LibSVM for classification problems.
org.tribuo.classification.sequence	Provides infrastructure for SequenceModels which emit Labels at each step of the sequence.
org.tribuo.classification.sgd.crf	Provides an implementation of a linear chain CRF trained using Stochastic Gradient Descent.
org.tribuo.classification.sgd.fm	Provides an implementation of a classification factorization machine using Stochastic Gradient Descent.
org.tribuo.classification.sgd.linear	Provides an implementation of a classification linear model using Stochastic Gradient Descent.
org.tribuo.classification.xgboost	Provides an interface to XGBoost for classification problems.
org.tribuo.clustering	Provides classes and infrastructure for working with clustering problems.
org.tribuo.common.liblinear	Provides base classes for using liblinear from Tribuo.
org.tribuo.common.libsvm	The base interface to LibSVM.
org.tribuo.common.sgd	Provides the base classes for models trained with stochastic gradient descent.
org.tribuo.common.tree	Provides common functionality for building decision trees, irrespective of the predicted Output.
org.tribuo.common.xgboost	Provides abstract classes for interfacing with XGBoost abstracting away all the Output dependent parts.
org.tribuo.dataset	Provides utility datasets which subsample or otherwise transform the wrapped dataset.
org.tribuo.ensemble	Provides an interface for model prediction combinations, two base classes for ensemble models, a base class for ensemble excuses, and a Bagging implementation.
org.tribuo.impl	Provides implementations of base classes and interfaces from org.tribuo.
org.tribuo.interop	This package contains the abstract implementation of an external model trained by something outside of Tribuo.
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.interop.tensorflow.sequence	Provides an interface for working with TensorFlow sequence models, using Tribuo's SequenceModel abstraction.
org.tribuo.multilabel	Provides classes and infrastructure for working with multi-label classification problems.
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.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.
org.tribuo.regression	Provides classes and infrastructure for regression problems with single or multiple output dimensions.
org.tribuo.regression.ensemble	Provides EnsembleCombiner implementations for working with multi-output regression problems.
org.tribuo.regression.evaluation	Evaluation classes for single or multi-dimensional regression.
org.tribuo.regression.impl	Provides skeletal implementations of Regressor Trainer that can wrap a single dimension trainer/model and produce one prediction per dimension independently.
org.tribuo.regression.liblinear	Provides an interface to liblinear for regression problems.
org.tribuo.regression.libsvm	Provides an interface to LibSVM for regression problems.
org.tribuo.regression.rtree.impl	Provides internal implementation classes for the regression trees.
org.tribuo.regression.sgd.fm	Provides an implementation of factorization machines for regression using Stochastic Gradient Descent.
org.tribuo.regression.sgd.linear	Provides an implementation of linear regression using Stochastic Gradient Descent.
org.tribuo.regression.xgboost	Provides an interface to XGBoost for regression problems.
org.tribuo.sequence	Provides core classes for working with sequences of Examples.

Uses of ImmutableOutputInfo in org.tribuo

Fields in org.tribuo declared as ImmutableOutputInfo

Modifier and Type	Field	Description
protected ImmutableOutputInfo<T>	ImmutableDataset.outputIDInfo	Output information, and id numbers for outputs found in this dataset.
protected final ImmutableOutputInfo<T>	Model.outputIDInfo	The outputs this model predicts.

Methods in org.tribuo that return ImmutableOutputInfo

Modifier and Type	Method	Description
ImmutableOutputInfo<T>	OutputFactory.constructInfoForExternalModel(Map<T,Integer> mapping)	Creates an ImmutableOutputInfo from the supplied mapping.
ImmutableOutputInfo<T>	OutputInfo.generateImmutableOutputInfo()	Generates an ImmutableOutputInfo which has a copy of the data in this OutputInfo, but also has id values and is immutable.
abstract ImmutableOutputInfo<T>	Dataset.getOutputIDInfo()	Returns or generates an ImmutableOutputInfo.
ImmutableOutputInfo<T>	ImmutableDataset.getOutputIDInfo()
ImmutableOutputInfo<T>	Model.getOutputIDInfo()	Gets the output domain.
ImmutableOutputInfo<T>	MutableDataset.getOutputIDInfo()
ImmutableOutputInfo<T>	ImmutableDataset.getOutputInfo()

Methods in org.tribuo with parameters of type ImmutableOutputInfo

Modifier and Type	Method	Description
static <T extends Output<T>> ImmutableDataset<T>	ImmutableDataset.copyDataset(Dataset<T> dataset, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo)	Creates an immutable deep copy of the supplied dataset, using a different feature and output map.
static <T extends Output<T>> ImmutableDataset<T>	ImmutableDataset.copyDataset(Dataset<T> dataset, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo, Merger merger)	Creates an immutable deep copy of the supplied dataset.
default boolean	ImmutableOutputInfo.domainAndIDEquals(ImmutableOutputInfo<T> other)	Checks if the domain is the same as the other output info's domain, and that each element is mapped to the same id number.

Constructors in org.tribuo with parameters of type ImmutableOutputInfo

Modifier	Constructor	Description
	ImmutableDataset(Iterable<Example<T>> dataSource, DataProvenance description, OutputFactory<T> outputFactory, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo, boolean dropInvalidExamples)	Creates a dataset from a data source.
protected	ImmutableDataset(DataProvenance description, OutputFactory<T> outputFactory, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo)	This is dangerous, and should not be used unless you've overridden everything in ImmutableDataset.
protected	Model(String name, ModelProvenance provenance, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo, boolean generatesProbabilities)	Constructs a new model, storing the supplied fields.
	SparseModel(String name, ModelProvenance provenance, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo, boolean generatesProbabilities, Map<String,List<String>> activeFeatures)	Constructs a sparse model from the supplied arguments.

Uses of ImmutableOutputInfo in org.tribuo.anomaly

Classes in org.tribuo.anomaly that implement ImmutableOutputInfo

Modifier and Type	Class	Description
final class	ImmutableAnomalyInfo	An ImmutableOutputInfo object for Events.

Methods in org.tribuo.anomaly that return ImmutableOutputInfo

Modifier and Type	Method	Description
ImmutableOutputInfo<Event>	AnomalyFactory.constructInfoForExternalModel(Map<Event,Integer> mapping)
ImmutableOutputInfo<Event>	AnomalyInfo.generateImmutableOutputInfo()

Methods in org.tribuo.anomaly with parameters of type ImmutableOutputInfo

Modifier and Type	Method	Description
boolean	ImmutableAnomalyInfo.domainAndIDEquals(ImmutableOutputInfo<Event> other)

Uses of ImmutableOutputInfo in org.tribuo.anomaly.liblinear

Methods in org.tribuo.anomaly.liblinear with parameters of type ImmutableOutputInfo

Modifier and Type	Method	Description
protected LibLinearModel<Event>	LibLinearAnomalyTrainer.createModel(ModelProvenance provenance, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<Event> outputIDInfo, List<de.bwaldvogel.liblinear.Model> models)
protected com.oracle.labs.mlrg.olcut.util.Pair<de.bwaldvogel.liblinear.FeatureNode[][],double[][]>	LibLinearAnomalyTrainer.extractData(Dataset<Event> data, ImmutableOutputInfo<Event> outputInfo, ImmutableFeatureMap featureMap)
protected de.bwaldvogel.liblinear.Parameter	LibLinearAnomalyTrainer.setupParameters(ImmutableOutputInfo<Event> labelIDMap)

Uses of ImmutableOutputInfo in org.tribuo.anomaly.libsvm

Methods in org.tribuo.anomaly.libsvm with parameters of type ImmutableOutputInfo

Modifier and Type	Method	Description
protected LibSVMModel<Event>	LibSVMAnomalyTrainer.createModel(ModelProvenance provenance, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<Event> outputIDInfo, List<libsvm.svm_model> models)
protected com.oracle.labs.mlrg.olcut.util.Pair<libsvm.svm_node[][],double[][]>	LibSVMAnomalyTrainer.extractData(Dataset<Event> data, ImmutableOutputInfo<Event> outputInfo, ImmutableFeatureMap featureMap)

Uses of ImmutableOutputInfo in org.tribuo.classification

Classes in org.tribuo.classification that implement ImmutableOutputInfo

Modifier and Type	Class	Description
class	ImmutableLabelInfo	An ImmutableOutputInfo object for Labels.

Methods in org.tribuo.classification that return ImmutableOutputInfo

Modifier and Type	Method	Description
ImmutableOutputInfo<Label>	LabelFactory.constructInfoForExternalModel(Map<Label,Integer> mapping)
ImmutableOutputInfo<Label>	LabelInfo.generateImmutableOutputInfo()

Methods in org.tribuo.classification with parameters of type ImmutableOutputInfo

Modifier and Type	Method	Description
boolean	ImmutableLabelInfo.domainAndIDEquals(ImmutableOutputInfo<Label> other)

Uses of ImmutableOutputInfo in org.tribuo.classification.ensemble

Methods in org.tribuo.classification.ensemble with parameters of type ImmutableOutputInfo

Modifier and Type	Method	Description
Prediction<Label>	FullyWeightedVotingCombiner.combine(ImmutableOutputInfo<Label> outputInfo, List<Prediction<Label>> predictions)
Prediction<Label>	FullyWeightedVotingCombiner.combine(ImmutableOutputInfo<Label> outputInfo, List<Prediction<Label>> predictions, float[] weights)
Prediction<Label>	VotingCombiner.combine(ImmutableOutputInfo<Label> outputInfo, List<Prediction<Label>> predictions)
Prediction<Label>	VotingCombiner.combine(ImmutableOutputInfo<Label> outputInfo, List<Prediction<Label>> predictions, float[] weights)

Uses of ImmutableOutputInfo in org.tribuo.classification.evaluation

Methods in org.tribuo.classification.evaluation that return ImmutableOutputInfo

Modifier and Type	Method	Description
ImmutableOutputInfo<T>	ConfusionMatrix.getDomain()	Returns the classification domain that this confusion matrix operates over.
ImmutableOutputInfo<Label>	LabelConfusionMatrix.getDomain()

Methods in org.tribuo.classification.evaluation with parameters of type ImmutableOutputInfo

Modifier and Type	Method	Description
static <T extends Classifiable<T>> double	ConfusionMatrix.sumOverOutputs(ImmutableOutputInfo<T> domain, ToDoubleFunction<T> getter)	Sums the supplied getter over the domain.

Constructors in org.tribuo.classification.evaluation with parameters of type ImmutableOutputInfo

Modifier	Constructor	Description
	LabelConfusionMatrix(ImmutableOutputInfo<Label> domain, List<Prediction<Label>> predictions)	Creates a confusion matrix from the supplied predictions and label info.

Uses of ImmutableOutputInfo in org.tribuo.classification.liblinear

Methods in org.tribuo.classification.liblinear with parameters of type ImmutableOutputInfo

Modifier and Type	Method	Description
protected LibLinearModel<Label>	LibLinearClassificationTrainer.createModel(ModelProvenance provenance, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<Label> outputIDInfo, List<de.bwaldvogel.liblinear.Model> models)
protected com.oracle.labs.mlrg.olcut.util.Pair<de.bwaldvogel.liblinear.FeatureNode[][],double[][]>	LibLinearClassificationTrainer.extractData(Dataset<Label> data, ImmutableOutputInfo<Label> outputInfo, ImmutableFeatureMap featureMap)
protected de.bwaldvogel.liblinear.Parameter	LibLinearClassificationTrainer.setupParameters(ImmutableOutputInfo<Label> labelIDMap)

Uses of ImmutableOutputInfo in org.tribuo.classification.libsvm

Methods in org.tribuo.classification.libsvm with parameters of type ImmutableOutputInfo

Modifier and Type	Method	Description
protected LibSVMModel<Label>	LibSVMClassificationTrainer.createModel(ModelProvenance provenance, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<Label> outputIDInfo, List<libsvm.svm_model> models)
protected com.oracle.labs.mlrg.olcut.util.Pair<libsvm.svm_node[][],double[][]>	LibSVMClassificationTrainer.extractData(Dataset<Label> data, ImmutableOutputInfo<Label> outputInfo, ImmutableFeatureMap featureMap)
protected libsvm.svm_parameter	LibSVMClassificationTrainer.setupParameters(ImmutableOutputInfo<Label> outputIDInfo)

Uses of ImmutableOutputInfo in org.tribuo.classification.sequence

Constructors in org.tribuo.classification.sequence with parameters of type ImmutableOutputInfo

Modifier	Constructor	Description
protected	ConfidencePredictingSequenceModel(String name, ModelProvenance description, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<Label> labelIDMap)	Constructs a ConfidencePredictingSequenceModel with the supplied parameters.

Uses of ImmutableOutputInfo in org.tribuo.classification.sgd.crf

Methods in org.tribuo.classification.sgd.crf with parameters of type ImmutableOutputInfo

Modifier and Type	Method	Description
static com.oracle.labs.mlrg.olcut.util.Pair<int[],SparseVector[]>	CRFModel.convert(SequenceExample<Label> example, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<Label> labelIDMap)	Deprecated. As it's replaced with CRFModel.convertToVector(org.tribuo.sequence.SequenceExample<T>, org.tribuo.ImmutableFeatureMap) which is more flexible.
static com.oracle.labs.mlrg.olcut.util.Pair<int[],SGDVector[]>	CRFModel.convertToVector(SequenceExample<Label> example, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<Label> labelIDMap)	Converts a SequenceExample into an array of SGDVectors and labels suitable for CRF prediction.

Uses of ImmutableOutputInfo in org.tribuo.classification.sgd.fm

Methods in org.tribuo.classification.sgd.fm with parameters of type ImmutableOutputInfo

Modifier and Type	Method	Description
protected FMClassificationModel	FMClassificationTrainer.createModel(String name, ModelProvenance provenance, ImmutableFeatureMap featureMap, ImmutableOutputInfo<Label> outputInfo, FMParameters parameters)
protected Integer	FMClassificationTrainer.getTarget(ImmutableOutputInfo<Label> outputInfo, Label output)

Uses of ImmutableOutputInfo in org.tribuo.classification.sgd.linear

Methods in org.tribuo.classification.sgd.linear with parameters of type ImmutableOutputInfo

Modifier and Type	Method	Description
protected LinearSGDModel	LinearSGDTrainer.createModel(String name, ModelProvenance provenance, ImmutableFeatureMap featureMap, ImmutableOutputInfo<Label> outputInfo, LinearParameters parameters)
protected Integer	LinearSGDTrainer.getTarget(ImmutableOutputInfo<Label> outputInfo, Label output)

Uses of ImmutableOutputInfo in org.tribuo.classification.xgboost

Methods in org.tribuo.classification.xgboost with parameters of type ImmutableOutputInfo

Modifier and Type	Method	Description
List<Prediction<Label>>	XGBoostClassificationConverter.convertBatchOutput(ImmutableOutputInfo<Label> info, List<float[][]> probabilitiesList, int[] numValidFeatures, Example<Label>[] examples)
Prediction<Label>	XGBoostClassificationConverter.convertOutput(ImmutableOutputInfo<Label> info, List<float[]> probabilitiesList, int numValidFeatures, Example<Label> example)

Uses of ImmutableOutputInfo in org.tribuo.clustering

Classes in org.tribuo.clustering that implement ImmutableOutputInfo

Modifier and Type	Class	Description
class	ImmutableClusteringInfo	An ImmutableOutputInfo object for ClusterIDs.

Methods in org.tribuo.clustering that return ImmutableOutputInfo

Modifier and Type	Method	Description
ImmutableOutputInfo<ClusterID>	ClusteringFactory.constructInfoForExternalModel(Map<ClusterID,Integer> mapping)	Unlike the other info types, clustering directly uses the integer IDs as the stored value, so this mapping discards the cluster IDs and just uses the supplied integers.
ImmutableOutputInfo<ClusterID>	ClusteringInfo.generateImmutableOutputInfo()

Methods in org.tribuo.clustering with parameters of type ImmutableOutputInfo

Modifier and Type	Method	Description
boolean	ImmutableClusteringInfo.domainAndIDEquals(ImmutableOutputInfo<ClusterID> other)

Uses of ImmutableOutputInfo in org.tribuo.common.liblinear

Methods in org.tribuo.common.liblinear with parameters of type ImmutableOutputInfo

Modifier and Type	Method	Description
protected abstract LibLinearModel<T>	LibLinearTrainer.createModel(ModelProvenance provenance, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo, List<de.bwaldvogel.liblinear.Model> models)	Construct the appropriate subtype of LibLinearModel for the prediction task.
protected abstract com.oracle.labs.mlrg.olcut.util.Pair<de.bwaldvogel.liblinear.FeatureNode[][],double[][]>	LibLinearTrainer.extractData(Dataset<T> data, ImmutableOutputInfo<T> outputInfo, ImmutableFeatureMap featureMap)	Extracts the features and Outputs in LibLinear's format.
protected de.bwaldvogel.liblinear.Parameter	LibLinearTrainer.setupParameters(ImmutableOutputInfo<T> info)	Constructs the parameters.

Constructors in org.tribuo.common.liblinear with parameters of type ImmutableOutputInfo

Modifier	Constructor	Description
protected	LibLinearModel(String name, ModelProvenance description, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> labelIDMap, boolean generatesProbabilities, List<de.bwaldvogel.liblinear.Model> models)	Constructs a LibLinear model from the supplied arguments.

Uses of ImmutableOutputInfo in org.tribuo.common.libsvm

Methods in org.tribuo.common.libsvm with parameters of type ImmutableOutputInfo

Modifier and Type	Method	Description
protected abstract LibSVMModel<T>	LibSVMTrainer.createModel(ModelProvenance provenance, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo, List<libsvm.svm_model> models)	Construct the appropriate subtype of LibSVMModel for the prediction task.
protected abstract com.oracle.labs.mlrg.olcut.util.Pair<libsvm.svm_node[][],double[][]>	LibSVMTrainer.extractData(Dataset<T> data, ImmutableOutputInfo<T> outputInfo, ImmutableFeatureMap featureMap)	Extracts the features and Outputs in LibSVM's format.
protected libsvm.svm_parameter	LibSVMTrainer.setupParameters(ImmutableOutputInfo<T> info)	Constructs the svm_parameter.

Constructors in org.tribuo.common.libsvm with parameters of type ImmutableOutputInfo

Modifier	Constructor	Description
protected	LibSVMModel(String name, ModelProvenance description, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo, boolean generatesProbabilities, List<libsvm.svm_model> models)	Constructs a LibSVMModel from the supplied arguments.

Uses of ImmutableOutputInfo in org.tribuo.common.sgd

Methods in org.tribuo.common.sgd with parameters of type ImmutableOutputInfo

Modifier and Type	Method	Description
protected abstract V	AbstractSGDTrainer.createModel(String name, ModelProvenance provenance, ImmutableFeatureMap featureMap, ImmutableOutputInfo<T> outputInfo, X parameters)	Creates the appropriate model subclass for this subclass of AbstractSGDTrainer.
protected abstract U	AbstractSGDTrainer.getTarget(ImmutableOutputInfo<T> outputInfo, T output)	Extracts the appropriate training time representation from the supplied output.

Constructors in org.tribuo.common.sgd with parameters of type ImmutableOutputInfo

Modifier	Constructor	Description
protected	AbstractFMModel(String name, ModelProvenance provenance, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo, FMParameters parameters, boolean generatesProbabilities)	Constructs a factorization machine model trained via SGD.
protected	AbstractLinearSGDModel(String name, ModelProvenance provenance, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo, LinearParameters parameters, boolean generatesProbabilities)	Constructs a linear model trained via SGD.
protected	AbstractSGDModel(String name, ModelProvenance provenance, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo, FeedForwardParameters weights, boolean generatesProbabilities, boolean addBias)	Constructs a linear model trained via SGD.

Uses of ImmutableOutputInfo in org.tribuo.common.tree

Constructors in org.tribuo.common.tree with parameters of type ImmutableOutputInfo

Modifier	Constructor	Description
protected	TreeModel(String name, ModelProvenance description, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo, boolean generatesProbabilities, Map<String,List<String>> activeFeatures)	Constructs a trained decision tree model.

Uses of ImmutableOutputInfo in org.tribuo.common.xgboost

Methods in org.tribuo.common.xgboost with parameters of type ImmutableOutputInfo

Modifier and Type	Method	Description
List<Prediction<T>>	XGBoostOutputConverter.convertBatchOutput(ImmutableOutputInfo<T> info, List<float[][]> probabilities, int[] numValidFeatures, Example<T>[] examples)	Converts a list of float arrays from XGBoost Boosters into a Tribuo Prediction.
Prediction<T>	XGBoostOutputConverter.convertOutput(ImmutableOutputInfo<T> info, List<float[]> probabilities, int numValidFeatures, Example<T> example)	Converts a list of float arrays from XGBoost Boosters into a Tribuo Prediction.
protected XGBoostModel<T>	XGBoostTrainer.createModel(String name, ModelProvenance provenance, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo, List<ml.dmlc.xgboost4j.java.Booster> models, XGBoostOutputConverter<T> converter)

Uses of ImmutableOutputInfo in org.tribuo.dataset

Methods in org.tribuo.dataset that return ImmutableOutputInfo

Modifier and Type	Method	Description
ImmutableOutputInfo<T>	DatasetView.getOutputInfo()

Methods in org.tribuo.dataset with parameters of type ImmutableOutputInfo

Modifier and Type	Method	Description
static <T extends Output<T>> DatasetView<T>	DatasetView.createBootstrapView(Dataset<T> dataset, int size, long seed, ImmutableFeatureMap featureIDs, ImmutableOutputInfo<T> outputIDs)	Generates a DatasetView bootstrapped from the supplied Dataset.
static <T extends Output<T>> DatasetView<T>	DatasetView.createWeightedBootstrapView(Dataset<T> dataset, int size, long seed, float[] exampleWeights, ImmutableFeatureMap featureIDs, ImmutableOutputInfo<T> outputIDs)	Generates a DatasetView bootstrapped from the supplied Dataset using the supplied example weights.

Constructors in org.tribuo.dataset with parameters of type ImmutableOutputInfo

Modifier	Constructor	Description
	DatasetView(Dataset<T> dataset, int[] exampleIndices, ImmutableFeatureMap featureIDs, ImmutableOutputInfo<T> labelIDs, String tag)	Creates a DatasetView which includes the supplied indices from the dataset.

Uses of ImmutableOutputInfo in org.tribuo.ensemble

Methods in org.tribuo.ensemble with parameters of type ImmutableOutputInfo

Modifier and Type	Method	Description
Prediction<T>	EnsembleCombiner.combine(ImmutableOutputInfo<T> outputInfo, List<Prediction<T>> predictions)	Combine the predictions.
Prediction<T>	EnsembleCombiner.combine(ImmutableOutputInfo<T> outputInfo, List<Prediction<T>> predictions, float[] weights)	Combine the supplied predictions.
protected Model<T>	BaggingTrainer.trainSingleModel(Dataset<T> examples, ImmutableFeatureMap featureIDs, ImmutableOutputInfo<T> labelIDs, int randInt, Map<String,com.oracle.labs.mlrg.olcut.provenance.Provenance> runProvenance, int invocationCount)	Trains a single model.

Constructors in org.tribuo.ensemble with parameters of type ImmutableOutputInfo

Modifier	Constructor	Description
protected	EnsembleModel(String name, EnsembleModelProvenance provenance, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo, List<Model<T>> newModels)	Builds an EnsembleModel from the supplied model list.
	WeightedEnsembleModel(String name, EnsembleModelProvenance provenance, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo, List<Model<T>> newModels, EnsembleCombiner<T> combiner)	Unless you are implementing a Trainer you should not use this constructor directly.
	WeightedEnsembleModel(String name, EnsembleModelProvenance provenance, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo, List<Model<T>> newModels, EnsembleCombiner<T> combiner, float[] weights)	Unless you are implementing a Trainer you should not use this constructor directly.

Uses of ImmutableOutputInfo in org.tribuo.impl

Constructors in org.tribuo.impl with parameters of type ImmutableOutputInfo

Modifier	Constructor	Description
	IndexedArrayExample(Example<T> other, ImmutableFeatureMap featureMap, ImmutableOutputInfo<T> outputMap)	This constructor removes unknown features.

Uses of ImmutableOutputInfo in org.tribuo.interop

Methods in org.tribuo.interop that return ImmutableOutputInfo

Modifier and Type	Method	Description
protected static <T extends Output<T>> ImmutableOutputInfo<T>	ExternalModel.createOutputInfo(OutputFactory<T> factory, Map<T,Integer> outputs)	Creates an output info from a set of outputs.

Constructors in org.tribuo.interop with parameters of type ImmutableOutputInfo

Modifier	Constructor	Description
protected	ExternalModel(String name, ModelProvenance provenance, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo, boolean generatesProbabilities, Map<String,Integer> featureMapping)	Constructs an external model from a model trained outside of Tribuo.
protected	ExternalModel(String name, ModelProvenance provenance, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo, int[] featureForwardMapping, int[] featureBackwardMapping, boolean generatesProbabilities)	Constructs an external model from a model trained outside of Tribuo.

Uses of ImmutableOutputInfo in org.tribuo.interop.oci

Methods in org.tribuo.interop.oci with parameters of type ImmutableOutputInfo

Modifier and Type	Method	Description
List<Prediction<Label>>	OCILabelConverter.convertOutput(DenseMatrix scores, int[] numValidFeatures, List<Example<Label>> examples, ImmutableOutputInfo<Label> outputIDInfo)
Prediction<Label>	OCILabelConverter.convertOutput(DenseVector scores, int numValidFeature, Example<Label> example, ImmutableOutputInfo<Label> 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)
List<Prediction<T>>	OCIOutputConverter.convertOutput(DenseMatrix scores, int[] numValidFeatures, List<Example<T>> examples, ImmutableOutputInfo<T> outputIDInfo)	Converts a dense matrix into a list of predictions of the appropriate type.
Prediction<T>	OCIOutputConverter.convertOutput(DenseVector scores, int numValidFeature, Example<T> example, ImmutableOutputInfo<T> outputIDInfo)	Converts a dense vector into a single prediction of the appropriate type.
List<Prediction<Regressor>>	OCIRegressorConverter.convertOutput(DenseMatrix scores, int[] numValidFeatures, List<Example<Regressor>> examples, ImmutableOutputInfo<Regressor> outputIDInfo)
Prediction<Regressor>	OCIRegressorConverter.convertOutput(DenseVector scores, int numValidFeature, Example<Regressor> example, ImmutableOutputInfo<Regressor> outputIDInfo)

Uses of ImmutableOutputInfo in org.tribuo.interop.onnx

Methods in org.tribuo.interop.onnx with parameters of type ImmutableOutputInfo

Modifier and Type	Method	Description
protected float[][]	LabelOneVOneTransformer.getBatchPredictions(List<ai.onnxruntime.OnnxValue> inputs, ImmutableOutputInfo<Label> outputIDInfo)	Rationalises the output of an onnx model into a standard format suitable for downstream work in Tribuo.
protected float[][]	LabelTransformer.getBatchPredictions(List<ai.onnxruntime.OnnxValue> inputs, ImmutableOutputInfo<Label> outputIDInfo)	Rationalises the output of an onnx model into a standard format suitable for downstream work in Tribuo.
List<Label>	LabelTransformer.transformToBatchOutput(List<ai.onnxruntime.OnnxValue> tensor, ImmutableOutputInfo<Label> outputIDInfo)
List<MultiLabel>	MultiLabelTransformer.transformToBatchOutput(List<ai.onnxruntime.OnnxValue> value, ImmutableOutputInfo<MultiLabel> outputIDInfo)
List<T>	OutputTransformer.transformToBatchOutput(List<ai.onnxruntime.OnnxValue> value, ImmutableOutputInfo<T> outputIDInfo)	Converts a OnnxValue containing multiple outputs into a list of Outputs.
List<Regressor>	RegressorTransformer.transformToBatchOutput(List<ai.onnxruntime.OnnxValue> tensor, ImmutableOutputInfo<Regressor> outputIDInfo)
List<Prediction<Label>>	LabelTransformer.transformToBatchPrediction(List<ai.onnxruntime.OnnxValue> tensor, ImmutableOutputInfo<Label> outputIDInfo, int[] numValidFeatures, List<Example<Label>> examples)
List<Prediction<MultiLabel>>	MultiLabelTransformer.transformToBatchPrediction(List<ai.onnxruntime.OnnxValue> value, ImmutableOutputInfo<MultiLabel> outputIDInfo, int[] numValidFeatures, List<Example<MultiLabel>> examples)
List<Prediction<T>>	OutputTransformer.transformToBatchPrediction(List<ai.onnxruntime.OnnxValue> value, ImmutableOutputInfo<T> outputIDInfo, int[] numValidFeatures, List<Example<T>> examples)	Converts a OnnxValue containing multiple outputs into a list of Predictions.
List<Prediction<Regressor>>	RegressorTransformer.transformToBatchPrediction(List<ai.onnxruntime.OnnxValue> tensor, ImmutableOutputInfo<Regressor> outputIDInfo, int[] numValidFeatures, List<Example<Regressor>> examples)
Label	LabelTransformer.transformToOutput(List<ai.onnxruntime.OnnxValue> tensor, ImmutableOutputInfo<Label> outputIDInfo)
MultiLabel	MultiLabelTransformer.transformToOutput(List<ai.onnxruntime.OnnxValue> value, ImmutableOutputInfo<MultiLabel> outputIDInfo)
T	OutputTransformer.transformToOutput(List<ai.onnxruntime.OnnxValue> value, ImmutableOutputInfo<T> outputIDInfo)	Converts a OnnxValue into the specified output type.
Regressor	RegressorTransformer.transformToOutput(List<ai.onnxruntime.OnnxValue> tensor, ImmutableOutputInfo<Regressor> outputIDInfo)
Prediction<Label>	LabelTransformer.transformToPrediction(List<ai.onnxruntime.OnnxValue> tensor, ImmutableOutputInfo<Label> outputIDInfo, int numValidFeatures, Example<Label> example)
Prediction<MultiLabel>	MultiLabelTransformer.transformToPrediction(List<ai.onnxruntime.OnnxValue> value, ImmutableOutputInfo<MultiLabel> outputIDInfo, int numValidFeatures, Example<MultiLabel> example)
Prediction<T>	OutputTransformer.transformToPrediction(List<ai.onnxruntime.OnnxValue> value, ImmutableOutputInfo<T> outputIDInfo, int numValidFeatures, Example<T> example)	Converts a OnnxValue into a Prediction.
Prediction<Regressor>	RegressorTransformer.transformToPrediction(List<ai.onnxruntime.OnnxValue> tensor, ImmutableOutputInfo<Regressor> outputIDInfo, int numValidFeatures, Example<Regressor> example)

Uses of ImmutableOutputInfo in org.tribuo.interop.tensorflow

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

Modifier and Type	Method	Description
List<Label>	LabelConverter.convertToBatchOutput(org.tensorflow.Tensor tensor, ImmutableOutputInfo<Label> outputIDInfo)
List<MultiLabel>	MultiLabelConverter.convertToBatchOutput(org.tensorflow.Tensor tensor, ImmutableOutputInfo<MultiLabel> outputIDInfo)
List<T>	OutputConverter.convertToBatchOutput(org.tensorflow.Tensor tensor, ImmutableOutputInfo<T> outputIDInfo)	Converts a Tensor containing multiple outputs into a list of Outputs.
List<Regressor>	RegressorConverter.convertToBatchOutput(org.tensorflow.Tensor tensor, ImmutableOutputInfo<Regressor> outputIDInfo)
List<Prediction<Label>>	LabelConverter.convertToBatchPrediction(org.tensorflow.Tensor tensor, ImmutableOutputInfo<Label> outputIDInfo, int[] numValidFeatures, List<Example<Label>> examples)
List<Prediction<MultiLabel>>	MultiLabelConverter.convertToBatchPrediction(org.tensorflow.Tensor tensor, ImmutableOutputInfo<MultiLabel> outputIDInfo, int[] numValidFeatures, List<Example<MultiLabel>> examples)
List<Prediction<T>>	OutputConverter.convertToBatchPrediction(org.tensorflow.Tensor tensor, ImmutableOutputInfo<T> outputIDInfo, int[] numValidFeatures, List<Example<T>> examples)	Converts a Tensor containing multiple outputs into a list of Predictions.
List<Prediction<Regressor>>	RegressorConverter.convertToBatchPrediction(org.tensorflow.Tensor tensor, ImmutableOutputInfo<Regressor> outputIDInfo, int[] numValidFeatures, List<Example<Regressor>> examples)
Label	LabelConverter.convertToOutput(org.tensorflow.Tensor tensor, ImmutableOutputInfo<Label> outputIDInfo)
MultiLabel	MultiLabelConverter.convertToOutput(org.tensorflow.Tensor tensor, ImmutableOutputInfo<MultiLabel> outputIDInfo)
T	OutputConverter.convertToOutput(org.tensorflow.Tensor tensor, ImmutableOutputInfo<T> outputIDInfo)	Converts a Tensor into the specified output type.
Regressor	RegressorConverter.convertToOutput(org.tensorflow.Tensor tensor, ImmutableOutputInfo<Regressor> outputIDInfo)
Prediction<Label>	LabelConverter.convertToPrediction(org.tensorflow.Tensor tensor, ImmutableOutputInfo<Label> outputIDInfo, int numValidFeatures, Example<Label> example)
Prediction<MultiLabel>	MultiLabelConverter.convertToPrediction(org.tensorflow.Tensor tensor, ImmutableOutputInfo<MultiLabel> outputIDInfo, int numValidFeatures, Example<MultiLabel> example)
Prediction<T>	OutputConverter.convertToPrediction(org.tensorflow.Tensor tensor, ImmutableOutputInfo<T> outputIDInfo, int numValidFeatures, Example<T> example)	Converts a Tensor into a Prediction.
Prediction<Regressor>	RegressorConverter.convertToPrediction(org.tensorflow.Tensor tensor, ImmutableOutputInfo<Regressor> outputIDInfo, int numValidFeatures, Example<Regressor> example)
org.tensorflow.Tensor	LabelConverter.convertToTensor(List<Example<Label>> examples, ImmutableOutputInfo<Label> outputIDInfo)
org.tensorflow.Tensor	LabelConverter.convertToTensor(Label example, ImmutableOutputInfo<Label> outputIDInfo)
org.tensorflow.Tensor	MultiLabelConverter.convertToTensor(List<Example<MultiLabel>> examples, ImmutableOutputInfo<MultiLabel> outputIDInfo)
org.tensorflow.Tensor	MultiLabelConverter.convertToTensor(MultiLabel example, ImmutableOutputInfo<MultiLabel> outputIDInfo)
org.tensorflow.Tensor	OutputConverter.convertToTensor(List<Example<T>> examples, ImmutableOutputInfo<T> outputIDInfo)	Converts a list of Example into a Tensor representing all the outputs in the list.
org.tensorflow.Tensor	OutputConverter.convertToTensor(T output, ImmutableOutputInfo<T> outputIDInfo)	Converts an Output into a Tensor representing it's output.
org.tensorflow.Tensor	RegressorConverter.convertToTensor(List<Example<Regressor>> examples, ImmutableOutputInfo<Regressor> outputIDInfo)
org.tensorflow.Tensor	RegressorConverter.convertToTensor(Regressor example, ImmutableOutputInfo<Regressor> outputIDInfo)

Constructors in org.tribuo.interop.tensorflow with parameters of type ImmutableOutputInfo

Modifier	Constructor	Description
protected	TensorFlowModel(String name, ModelProvenance provenance, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo, org.tensorflow.proto.framework.GraphDef trainedGraphDef, int batchSize, String outputName, FeatureConverter featureConverter, OutputConverter<T> outputConverter)	Builds a TFModel.

Uses of ImmutableOutputInfo in org.tribuo.interop.tensorflow.sequence

Methods in org.tribuo.interop.tensorflow.sequence with parameters of type ImmutableOutputInfo

Modifier and Type	Method	Description
List<List<Prediction<T>>>	SequenceOutputConverter.decode(org.tensorflow.Tensor outputs, List<SequenceExample<T>> inputBatch, ImmutableOutputInfo<T> labelMap)	Decode graph output tensors corresponding to a batch of input sequences.
List<Prediction<T>>	SequenceOutputConverter.decode(org.tensorflow.Tensor output, SequenceExample<T> input, ImmutableOutputInfo<T> labelMap)	Decode a tensor of graph output into a list of predictions for the input sequence.
TensorMap	SequenceOutputConverter.encode(List<SequenceExample<T>> batch, ImmutableOutputInfo<T> labelMap)	Encodes a batch of labels as a feed dict.
TensorMap	SequenceOutputConverter.encode(SequenceExample<T> example, ImmutableOutputInfo<T> labelMap)	Encodes an example's label as a feed dict.

Uses of ImmutableOutputInfo in org.tribuo.multilabel

Classes in org.tribuo.multilabel that implement ImmutableOutputInfo

Modifier and Type	Class	Description
class	ImmutableMultiLabelInfo	An ImmutableOutputInfo for working with MultiLabel tasks.

Methods in org.tribuo.multilabel that return ImmutableOutputInfo

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

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

Modifier and Type	Method	Description
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 ImmutableOutputInfo in org.tribuo.multilabel.ensemble

Methods in org.tribuo.multilabel.ensemble with parameters of type ImmutableOutputInfo

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)

Uses of ImmutableOutputInfo in org.tribuo.multilabel.evaluation

Methods in org.tribuo.multilabel.evaluation that return ImmutableOutputInfo

Modifier and Type	Method	Description
ImmutableOutputInfo<MultiLabel>	MultiLabelConfusionMatrix.getDomain()

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

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

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)

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

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

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)

Uses of ImmutableOutputInfo in org.tribuo.regression

Classes in org.tribuo.regression that implement ImmutableOutputInfo

Modifier and Type	Class	Description
class	ImmutableRegressionInfo	A ImmutableOutputInfo for Regressors.

Methods in org.tribuo.regression that return ImmutableOutputInfo

Modifier and Type	Method	Description
ImmutableOutputInfo<Regressor>	RegressionFactory.constructInfoForExternalModel(Map<Regressor,Integer> mapping)
ImmutableOutputInfo<Regressor>	RegressionInfo.generateImmutableOutputInfo()

Methods in org.tribuo.regression with parameters of type ImmutableOutputInfo

Modifier and Type	Method	Description
boolean	ImmutableRegressionInfo.domainAndIDEquals(ImmutableOutputInfo<Regressor> other)

Uses of ImmutableOutputInfo in org.tribuo.regression.ensemble

Methods in org.tribuo.regression.ensemble with parameters of type ImmutableOutputInfo

Modifier and Type	Method	Description
Prediction<Regressor>	AveragingCombiner.combine(ImmutableOutputInfo<Regressor> outputInfo, List<Prediction<Regressor>> predictions)
Prediction<Regressor>	AveragingCombiner.combine(ImmutableOutputInfo<Regressor> outputInfo, List<Prediction<Regressor>> predictions, float[] weights)

Uses of ImmutableOutputInfo in org.tribuo.regression.evaluation

Constructors in org.tribuo.regression.evaluation with parameters of type ImmutableOutputInfo

Modifier	Constructor	Description
	RegressionSufficientStatistics(ImmutableOutputInfo<Regressor> domain, List<Prediction<Regressor>> predictions, boolean useExampleWeights)	Constructs the sufficient statistics for regression metrics.

Uses of ImmutableOutputInfo in org.tribuo.regression.impl

Methods in org.tribuo.regression.impl with parameters of type ImmutableOutputInfo

Modifier and Type	Method	Description
protected abstract SkeletalIndependentRegressionSparseModel	SkeletalIndependentRegressionSparseTrainer.createModel(Map<String,T> models, ModelProvenance provenance, ImmutableFeatureMap featureMap, ImmutableOutputInfo<Regressor> outputInfo)	Constructs the appropriate subclass of SkeletalIndependentRegressionModel for this trainer.
protected abstract SkeletalIndependentRegressionModel	SkeletalIndependentRegressionTrainer.createModel(Map<String,T> models, ModelProvenance provenance, ImmutableFeatureMap featureMap, ImmutableOutputInfo<Regressor> outputInfo)	Constructs the appropriate subclass of SkeletalIndependentRegressionModel for this trainer.

Constructors in org.tribuo.regression.impl with parameters of type ImmutableOutputInfo

Modifier	Constructor	Description
protected	SkeletalIndependentRegressionModel(String name, String[] dimensions, ModelProvenance modelProvenance, ImmutableFeatureMap featureMap, ImmutableOutputInfo<Regressor> outputInfo)	models.size() must equal labelInfo.getDomain().size()
protected	SkeletalIndependentRegressionSparseModel(String name, String[] dimensions, ModelProvenance modelProvenance, ImmutableFeatureMap featureMap, ImmutableOutputInfo<Regressor> outputInfo, Map<String,List<String>> activeFeatures)	models.size() must equal labelInfo.getDomain().size()

Uses of ImmutableOutputInfo in org.tribuo.regression.liblinear

Methods in org.tribuo.regression.liblinear with parameters of type ImmutableOutputInfo

Modifier and Type	Method	Description
protected LibLinearModel<Regressor>	LibLinearRegressionTrainer.createModel(ModelProvenance provenance, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<Regressor> outputIDInfo, List<de.bwaldvogel.liblinear.Model> models)
protected com.oracle.labs.mlrg.olcut.util.Pair<de.bwaldvogel.liblinear.FeatureNode[][],double[][]>	LibLinearRegressionTrainer.extractData(Dataset<Regressor> data, ImmutableOutputInfo<Regressor> outputInfo, ImmutableFeatureMap featureMap)

Uses of ImmutableOutputInfo in org.tribuo.regression.libsvm

Methods in org.tribuo.regression.libsvm with parameters of type ImmutableOutputInfo

Modifier and Type	Method	Description
protected LibSVMModel<Regressor>	LibSVMRegressionTrainer.createModel(ModelProvenance provenance, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<Regressor> outputIDInfo, List<libsvm.svm_model> models)
protected com.oracle.labs.mlrg.olcut.util.Pair<libsvm.svm_node[][],double[][]>	LibSVMRegressionTrainer.extractData(Dataset<Regressor> data, ImmutableOutputInfo<Regressor> outputInfo, ImmutableFeatureMap featureMap)

Uses of ImmutableOutputInfo in org.tribuo.regression.rtree.impl

Constructors in org.tribuo.regression.rtree.impl with parameters of type ImmutableOutputInfo

Modifier	Constructor	Description
	RegressorTrainingNode(RegressorImpurity impurity, RegressorTrainingNode.InvertedData tuple, int dimIndex, String dimName, int numExamples, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<Regressor> outputInfo, AbstractTrainingNode.LeafDeterminer leafDeterminer)	Constructs a tree training node for regression problems.

Uses of ImmutableOutputInfo in org.tribuo.regression.sgd.fm

Methods in org.tribuo.regression.sgd.fm with parameters of type ImmutableOutputInfo

Modifier and Type	Method	Description
protected FMRegressionModel	FMRegressionTrainer.createModel(String name, ModelProvenance provenance, ImmutableFeatureMap featureMap, ImmutableOutputInfo<Regressor> outputInfo, FMParameters parameters)
protected DenseVector	FMRegressionTrainer.getTarget(ImmutableOutputInfo<Regressor> outputInfo, Regressor output)

Uses of ImmutableOutputInfo in org.tribuo.regression.sgd.linear

Methods in org.tribuo.regression.sgd.linear with parameters of type ImmutableOutputInfo

Modifier and Type	Method	Description
protected LinearSGDModel	LinearSGDTrainer.createModel(String name, ModelProvenance provenance, ImmutableFeatureMap featureMap, ImmutableOutputInfo<Regressor> outputInfo, LinearParameters parameters)
protected DenseVector	LinearSGDTrainer.getTarget(ImmutableOutputInfo<Regressor> outputInfo, Regressor output)

Uses of ImmutableOutputInfo in org.tribuo.regression.xgboost

Methods in org.tribuo.regression.xgboost with parameters of type ImmutableOutputInfo

Modifier and Type	Method	Description
List<Prediction<Regressor>>	XGBoostRegressionConverter.convertBatchOutput(ImmutableOutputInfo<Regressor> info, List<float[][]> probabilities, int[] numValidFeatures, Example<Regressor>[] examples)
Prediction<Regressor>	XGBoostRegressionConverter.convertOutput(ImmutableOutputInfo<Regressor> info, List<float[]> probabilities, int numValidFeatures, Example<Regressor> example)

Uses of ImmutableOutputInfo in org.tribuo.sequence

Fields in org.tribuo.sequence declared as ImmutableOutputInfo

Modifier and Type	Field	Description
protected ImmutableOutputInfo<T>	ImmutableSequenceDataset.outputIDInfo	A map from labels to IDs for the labels found in this dataset.
protected final ImmutableOutputInfo<T>	SequenceModel.outputIDMap

Methods in org.tribuo.sequence that return ImmutableOutputInfo

Modifier and Type	Method	Description
ImmutableOutputInfo<T>	ImmutableSequenceDataset.getOutputIDInfo()
ImmutableOutputInfo<T>	MutableSequenceDataset.getOutputIDInfo()
abstract ImmutableOutputInfo<T>	SequenceDataset.getOutputIDInfo()	An immutable view on the output info in this dataset.
ImmutableOutputInfo<T>	SequenceModel.getOutputIDInfo()	Gets the output domain.
ImmutableOutputInfo<T>	ImmutableSequenceDataset.getOutputInfo()

Methods in org.tribuo.sequence with parameters of type ImmutableOutputInfo

Modifier and Type	Method	Description
static <T extends Output<T>> ImmutableSequenceDataset<T>	ImmutableSequenceDataset.copyDataset(SequenceDataset<T> dataset, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo)	Creates an immutable deep copy of the supplied dataset, using a different feature and output map.
static <T extends Output<T>> ImmutableSequenceDataset<T>	ImmutableSequenceDataset.copyDataset(SequenceDataset<T> dataset, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo, Merger merger)	Creates an immutable deep copy of the supplied dataset.

Constructors in org.tribuo.sequence with parameters of type ImmutableOutputInfo

Modifier	Constructor	Description
	ImmutableSequenceDataset(Iterable<SequenceExample<T>> dataSource, DataProvenance sourceProvenance, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo, OutputFactory<T> outputFactory)	Creates a dataset from a data source.
protected	ImmutableSequenceDataset(DataProvenance sourceProvenance, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo)	This is dangerous, and should not be used unless you've overridden everything in ImmutableSequenceDataset.
	SequenceModel(String name, ModelProvenance provenance, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDMap)	Builds a SequenceModel.