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.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.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.evaluation	Evaluation classes for multi-label classification using MultiLabel.
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.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 and Description
protected ImmutableOutputInfo<T>	Model.outputIDInfo The outputs this model predicts.
protected ImmutableOutputInfo<T>	ImmutableDataset.outputIDInfo Output information, and id numbers for outputs found in this dataset.

Methods in org.tribuo that return ImmutableOutputInfo

Modifier and Type	Method and 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.
ImmutableOutputInfo<T>	MutableDataset.getOutputIDInfo()
ImmutableOutputInfo<T>	Model.getOutputIDInfo() Gets the output domain.
ImmutableOutputInfo<T>	ImmutableDataset.getOutputIDInfo()
abstract ImmutableOutputInfo<T>	Dataset.getOutputIDInfo() Returns or generates an ImmutableOutputInfo.
ImmutableOutputInfo<T>	ImmutableDataset.getOutputInfo()

Methods in org.tribuo with parameters of type ImmutableOutputInfo

Modifier and Type	Method and 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.

Constructors in org.tribuo with parameters of type ImmutableOutputInfo

Constructor and Description
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.
ImmutableDataset(Iterable<Example<T>> dataSource, DataProvenance description, OutputFactory<T> outputFactory, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo, boolean dropInvalidExamples) Creates a dataset from a data source.
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 and Description
class	ImmutableAnomalyInfo An ImmutableOutputInfo object for Events.

Methods in org.tribuo.anomaly that return ImmutableOutputInfo

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

Uses of ImmutableOutputInfo in org.tribuo.anomaly.liblinear

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

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

Methods in org.tribuo.classification that return ImmutableOutputInfo

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

Uses of ImmutableOutputInfo in org.tribuo.classification.ensemble

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

Modifier and Type	Method and Description
Prediction<Label>	VotingCombiner.combine(ImmutableOutputInfo<Label> outputInfo, List<Prediction<Label>> predictions)
Prediction<Label>	FullyWeightedVotingCombiner.combine(ImmutableOutputInfo<Label> outputInfo, List<Prediction<Label>> predictions)
Prediction<Label>	VotingCombiner.combine(ImmutableOutputInfo<Label> outputInfo, List<Prediction<Label>> predictions, float[] weights)
Prediction<Label>	FullyWeightedVotingCombiner.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 and Description
ImmutableOutputInfo<Label>	LabelConfusionMatrix.getDomain()
ImmutableOutputInfo<T>	ConfusionMatrix.getDomain() Returns the classification domain that this confusion matrix operates over.

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

Modifier and Type	Method and 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

Constructor and 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 and 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 and 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

Constructor and Description
ConfidencePredictingSequenceModel(String name, ModelProvenance description, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<Label> labelIDMap)

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 and 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.linear

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

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

Methods in org.tribuo.clustering that return ImmutableOutputInfo

Modifier and Type	Method and 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()

Uses of ImmutableOutputInfo in org.tribuo.common.liblinear

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

Modifier and Type	Method and 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

Constructor and Description
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 and 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

Constructor and Description
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 and 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

Constructor and Description
AbstractLinearSGDModel(String name, ModelProvenance provenance, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo, LinearParameters parameters, boolean generatesProbabilities) Constructs a linear model trained via SGD.
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

Constructor and Description
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 and 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 and Description
ImmutableOutputInfo<T>	DatasetView.getOutputInfo()

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

Modifier and Type	Method and 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

Constructor and 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 and 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, SplittableRandom localRNG, Map<String,com.oracle.labs.mlrg.olcut.provenance.Provenance> runProvenance)

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

Constructor and Description
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

Constructor and 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 and 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

Constructor and Description
ExternalModel(String name, ModelProvenance provenance, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo, boolean generatesProbabilities, Map<String,Integer> featureMapping)
ExternalModel(String name, ModelProvenance provenance, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo, int[] featureForwardMapping, int[] featureBackwardMapping, boolean generatesProbabilities)

Uses of ImmutableOutputInfo in org.tribuo.interop.onnx

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

Modifier and Type	Method and Description
List<Label>	LabelTransformer.transformToBatchOutput(List<ai.onnxruntime.OnnxValue> tensor, ImmutableOutputInfo<Label> outputIDInfo)
List<Regressor>	RegressorTransformer.transformToBatchOutput(List<ai.onnxruntime.OnnxValue> tensor, ImmutableOutputInfo<Regressor> 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<Prediction<Label>>	LabelTransformer.transformToBatchPrediction(List<ai.onnxruntime.OnnxValue> tensor, ImmutableOutputInfo<Label> outputIDInfo, int[] numValidFeatures, List<Example<Label>> examples)
List<Prediction<Regressor>>	RegressorTransformer.transformToBatchPrediction(List<ai.onnxruntime.OnnxValue> tensor, ImmutableOutputInfo<Regressor> outputIDInfo, int[] numValidFeatures, List<Example<Regressor>> 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.
Label	LabelTransformer.transformToOutput(List<ai.onnxruntime.OnnxValue> tensor, ImmutableOutputInfo<Label> outputIDInfo)
Regressor	RegressorTransformer.transformToOutput(List<ai.onnxruntime.OnnxValue> tensor, ImmutableOutputInfo<Regressor> outputIDInfo)
T	OutputTransformer.transformToOutput(List<ai.onnxruntime.OnnxValue> value, ImmutableOutputInfo<T> outputIDInfo) Converts a OnnxValue into the specified output type.
Prediction<Label>	LabelTransformer.transformToPrediction(List<ai.onnxruntime.OnnxValue> tensor, ImmutableOutputInfo<Label> outputIDInfo, int numValidFeatures, Example<Label> example)
Prediction<Regressor>	RegressorTransformer.transformToPrediction(List<ai.onnxruntime.OnnxValue> tensor, ImmutableOutputInfo<Regressor> outputIDInfo, int numValidFeatures, Example<Regressor> example)
Prediction<T>	OutputTransformer.transformToPrediction(List<ai.onnxruntime.OnnxValue> value, ImmutableOutputInfo<T> outputIDInfo, int numValidFeatures, Example<T> example) Converts a OnnxValue into a Prediction.

Uses of ImmutableOutputInfo in org.tribuo.interop.tensorflow

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

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

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

Constructor and Description
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 and 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 and Description
class	ImmutableMultiLabelInfo An ImmutableOutputInfo for working with multi-label tasks.

Methods in org.tribuo.multilabel that return ImmutableOutputInfo

Modifier and Type	Method and 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 and 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.

Uses of ImmutableOutputInfo in org.tribuo.multilabel.evaluation

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

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

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 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)

Uses of ImmutableOutputInfo in org.tribuo.regression

Classes in org.tribuo.regression that implement ImmutableOutputInfo

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

Methods in org.tribuo.regression that return ImmutableOutputInfo

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

Uses of ImmutableOutputInfo in org.tribuo.regression.ensemble

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

Modifier and Type	Method and 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

Constructor and Description
RegressionSufficientStatistics(ImmutableOutputInfo<Regressor> domain, List<Prediction<Regressor>> predictions, boolean useExampleWeights)

Uses of ImmutableOutputInfo in org.tribuo.regression.impl

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

Modifier and Type	Method and Description
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.
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.

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

Constructor and Description
SkeletalIndependentRegressionModel(String name, String[] dimensions, ModelProvenance modelProvenance, ImmutableFeatureMap featureMap, ImmutableOutputInfo<Regressor> outputInfo) models.size() must equal labelInfo.getDomain().size()
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 and 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 and 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

Constructor and Description
RegressorTrainingNode(RegressorImpurity impurity, RegressorTrainingNode.InvertedData tuple, int dimIndex, String dimName, int numExamples, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<Regressor> outputInfo, AbstractTrainingNode.LeafDeterminer leafDeterminer)

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

Methods in org.tribuo.sequence that return ImmutableOutputInfo

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

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

Modifier and Type	Method and 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

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