Uses of Interface
org.tribuo.OutputFactory

Packages that use OutputFactory

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.example	Provides anomaly data generators used for demos and testing implementations.
org.tribuo.classification	Provides classes and infrastructure for multiclass classification problems.
org.tribuo.classification.explanations.lime	Provides an implementation of LIME (Locally Interpretable Model Explanations).
org.tribuo.clustering	Provides classes and infrastructure for working with clustering problems.
org.tribuo.clustering.example	Provides clustering data generators used for demos and testing implementations.
org.tribuo.common.xgboost	Provides abstract classes for interfacing with XGBoost abstracting away all the Output dependent parts.
org.tribuo.data	Provides classes for loading in data from disk, processing it into examples, and splitting datasets for things like cross-validation and train-test splits.
org.tribuo.data.columnar	Provides classes for processing columnar data and generating Examples.
org.tribuo.data.columnar.processors.response	Provides implementations of ResponseProcessor.
org.tribuo.data.csv	Provides classes which can load columnar data (using a RowProcessor) from a CSV (or other character delimited format) file.
org.tribuo.data.sql	Provides classes which can load columnar data (using a RowProcessor) from a SQL source.
org.tribuo.data.text	Provides interfaces for converting text inputs into Features and Examples.
org.tribuo.data.text.impl	Provides implementations of text data processors.
org.tribuo.datasource	Simple data sources for ingesting or aggregating data.
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.onnx.extractors	Provides feature extraction implementations which use ONNX models.
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.example	Provides a multi-label data generator for testing implementations and a configurable data source suitable for demos and tests.
org.tribuo.provenance	Provides Tribuo specific infrastructure for the Provenance system which tracks models and datasets.
org.tribuo.regression	Provides classes and infrastructure for regression problems with single or multiple output dimensions.
org.tribuo.regression.example	Provides some example regression data generators for testing implementations.
org.tribuo.sequence	Provides core classes for working with sequences of Examples.

Uses of OutputFactory in org.tribuo

Fields in org.tribuo declared as OutputFactory

Modifier and Type	Field	Description
protected final OutputFactory<T>	Dataset.outputFactory	A factory for making OutputInfo and Output of the appropriate type.

Methods in org.tribuo that return OutputFactory

Modifier and Type	Method	Description
OutputFactory<T>	Dataset.getOutputFactory()	Gets the output factory this dataset contains.
OutputFactory<T>	DataSource.getOutputFactory()	Returns the OutputFactory associated with this Output subclass.

Constructors in org.tribuo with parameters of type OutputFactory

Modifier	Constructor	Description
protected	Dataset(DataProvenance provenance, OutputFactory<T> outputFactory)	Creates a dataset.
	ImmutableDataset(Iterable<Example<T>> dataSource, DataProvenance description, OutputFactory<T> outputFactory, FeatureMap featureIDMap, OutputInfo<T> outputIDInfo, boolean dropInvalidExamples)	Creates a dataset from a data source.
	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)	If you call this it's your job to setup outputMap, featureIDMap and fill it with examples.
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.
	MutableDataset(Iterable<Example<T>> dataSource, DataProvenance provenance, OutputFactory<T> outputFactory)	Creates a dataset from a data source.
	MutableDataset(DataProvenance sourceProvenance, OutputFactory<T> outputFactory)	Creates an empty dataset.

Uses of OutputFactory in org.tribuo.anomaly

Classes in org.tribuo.anomaly that implement OutputFactory

Modifier and Type	Class	Description
final class	AnomalyFactory	A factory for generating events.

Uses of OutputFactory in org.tribuo.anomaly.example

Methods in org.tribuo.anomaly.example that return OutputFactory

Modifier and Type	Method	Description
OutputFactory<Event>	GaussianAnomalyDataSource.getOutputFactory()

Uses of OutputFactory in org.tribuo.classification

Classes in org.tribuo.classification that implement OutputFactory

Modifier and Type	Class	Description
final class	LabelFactory	A factory for making Label related classes.

Uses of OutputFactory in org.tribuo.classification.explanations.lime

Fields in org.tribuo.classification.explanations.lime declared as OutputFactory

Modifier and Type	Field	Description
protected static final OutputFactory<Regressor>	LIMEBase.regressionFactory

Uses of OutputFactory in org.tribuo.clustering

Classes in org.tribuo.clustering that implement OutputFactory

Modifier and Type	Class	Description
final class	ClusteringFactory	A factory for making ClusterID related classes.

Uses of OutputFactory in org.tribuo.clustering.example

Methods in org.tribuo.clustering.example that return OutputFactory

Modifier and Type	Method	Description
OutputFactory<ClusterID>	GaussianClusterDataSource.getOutputFactory()

Uses of OutputFactory in org.tribuo.common.xgboost

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

Modifier and Type	Method	Description
static <T extends Output<T>> XGBoostExternalModel<T>	XGBoostExternalModel.createXGBoostModel(OutputFactory<T> factory, Map<String,Integer> featureMapping, Map<T,Integer> outputMapping, XGBoostOutputConverter<T> outputFunc, String path)	Creates an XGBoostExternalModel from the supplied model on disk.
static <T extends Output<T>> XGBoostExternalModel<T>	XGBoostExternalModel.createXGBoostModel(OutputFactory<T> factory, Map<String,Integer> featureMapping, Map<T,Integer> outputMapping, XGBoostOutputConverter<T> outputFunc, Path path)	Creates an XGBoostExternalModel from the supplied model on disk.
static <T extends Output<T>> XGBoostExternalModel<T>	XGBoostExternalModel.createXGBoostModel(OutputFactory<T> factory, Map<String,Integer> featureMapping, Map<T,Integer> outputMapping, XGBoostOutputConverter<T> outputFunc, ml.dmlc.xgboost4j.java.Booster model, URL provenanceLocation)	Deprecated. As the URL argument must always be valid.
static <T extends Output<T>> XGBoostExternalModel<T>	XGBoostExternalModel.createXGBoostModel(OutputFactory<T> factory, Map<String,Integer> featureMapping, Map<T,Integer> outputMapping, XGBoostOutputConverter<T> outputFunc, ml.dmlc.xgboost4j.java.Booster model, Map<String,com.oracle.labs.mlrg.olcut.provenance.Provenance> instanceProvenance)	Creates an XGBoostExternalModel from the supplied in-memory XGBoost Booster.

Uses of OutputFactory in org.tribuo.data

Fields in org.tribuo.data declared as OutputFactory

Modifier and Type	Field	Description
OutputFactory<?>	ConfigurableTrainTest.ConfigurableTrainTestOptions.outputFactory	The output factory to construct.

Methods in org.tribuo.data with parameters of type OutputFactory

Modifier and Type	Method	Description
<T extends Output<T>> com.oracle.labs.mlrg.olcut.util.Pair<Dataset<T>,Dataset<T>>	DataOptions.load(OutputFactory<T> outputFactory)	Loads the training and testing data from DataOptions.trainingPath and DataOptions.testingPath according to the other parameters specified in this class.

Uses of OutputFactory in org.tribuo.data.columnar

Methods in org.tribuo.data.columnar that return OutputFactory

Modifier and Type	Method	Description
OutputFactory<T>	ColumnarDataSource.getOutputFactory()
OutputFactory<T>	ResponseProcessor.getOutputFactory()	Gets the OutputFactory this ResponseProcessor uses.

Constructors in org.tribuo.data.columnar with parameters of type OutputFactory

Modifier	Constructor	Description
protected	ColumnarDataSource(OutputFactory<T> outputFactory, RowProcessor<T> rowProcessor, boolean outputRequired)	Constructs a columnar data source with the specified parameters.

Uses of OutputFactory in org.tribuo.data.columnar.processors.response

Methods in org.tribuo.data.columnar.processors.response that return OutputFactory

Modifier and Type	Method	Description
OutputFactory<T>	BinaryResponseProcessor.getOutputFactory()
OutputFactory<T>	EmptyResponseProcessor.getOutputFactory()
OutputFactory<T>	FieldResponseProcessor.getOutputFactory()
OutputFactory<T>	QuartileResponseProcessor.getOutputFactory()

Constructors in org.tribuo.data.columnar.processors.response with parameters of type OutputFactory

Modifier	Constructor	Description
	BinaryResponseProcessor(String fieldName, String positiveResponse, OutputFactory<T> outputFactory)	Constructs a binary response processor which emits a positive value for a single string and a negative value for all other field values.
	BinaryResponseProcessor(List<String> fieldNames, String positiveResponse, OutputFactory<T> outputFactory)	Constructs a binary response processor which emits a positive value for a single string and a negative value for all other field values.
	BinaryResponseProcessor(List<String> fieldNames, List<String> positiveResponses, OutputFactory<T> outputFactory)	Constructs a binary response processor which emits a positive value for a single string and a negative value for all other field values.
	BinaryResponseProcessor(List<String> fieldNames, List<String> positiveResponses, OutputFactory<T> outputFactory, boolean displayField)	Constructs a binary response processor which emits a positive value for a single string and a negative value for all other field values.
	BinaryResponseProcessor(List<String> fieldNames, List<String> positiveResponses, OutputFactory<T> outputFactory, String positiveName, String negativeName, boolean displayField)	Constructs a binary response processor which emits a positive value for a single string and a negative value for all other field values.
	EmptyResponseProcessor(OutputFactory<T> outputFactory)	Constructs a response processor which never emits a response.
	FieldResponseProcessor(String fieldName, String defaultValue, OutputFactory<T> outputFactory)	Constructs a response processor which passes the field value through the output factory.
	FieldResponseProcessor(List<String> fieldNames, String defaultValue, OutputFactory<T> outputFactory)	Constructs a response processor which passes the field value through the output factory.
	FieldResponseProcessor(List<String> fieldNames, List<String> defaultValues, OutputFactory<T> outputFactory)	Constructs a response processor which passes the field value through the output factory.
	FieldResponseProcessor(List<String> fieldNames, List<String> defaultValues, OutputFactory<T> outputFactory, boolean displayField)	Constructs a response processor which passes the field value through the output factory.
	FieldResponseProcessor(List<String> fieldNames, List<String> defaultValues, OutputFactory<T> outputFactory, boolean displayField, boolean uppercase)	Constructs a response processor which passes the field value through the output factory.
	QuartileResponseProcessor(String name, String fieldName, Quartile quartile, OutputFactory<T> outputFactory)	Constructs a response processor which emits 4 distinct bins for the output factory to process.
	QuartileResponseProcessor(List<String> fieldNames, List<Quartile> quartiles, OutputFactory<T> outputFactory)	Constructs a response processor which emits 4 distinct bins for the output factory to process.

Uses of OutputFactory in org.tribuo.data.csv

Constructors in org.tribuo.data.csv with parameters of type OutputFactory

Modifier	Constructor	Description
	CSVLoader(char separator, char quote, OutputFactory<T> outputFactory)	Creates a CSVLoader using the supplied separator, quote and output factory.
	CSVLoader(char separator, OutputFactory<T> outputFactory)	Creates a CSVLoader using the supplied separator and output factory.
	CSVLoader(OutputFactory<T> outputFactory)	Creates a CSVLoader using the supplied output factory.

Uses of OutputFactory in org.tribuo.data.sql

Constructors in org.tribuo.data.sql with parameters of type OutputFactory

Modifier	Constructor	Description
	SQLDataSource(String sqlString, SQLDBConfig sqlConfig, OutputFactory<T> outputFactory, RowProcessor<T> rowProcessor, boolean outputRequired)	Constructs a SQLDataSource.

Uses of OutputFactory in org.tribuo.data.text

Fields in org.tribuo.data.text declared as OutputFactory

Modifier and Type	Field	Description
protected OutputFactory<T>	DirectoryFileSource.outputFactory	The factory that converts a String into an Output.
protected OutputFactory<T>	TextDataSource.outputFactory	The factory that converts a String into an Output.

Methods in org.tribuo.data.text that return OutputFactory

Modifier and Type	Method	Description
OutputFactory<T>	DirectoryFileSource.getOutputFactory()
OutputFactory<T>	TextDataSource.getOutputFactory()	Returns the output factory used to convert the text input into an Output.

Constructors in org.tribuo.data.text with parameters of type OutputFactory

Modifier	Constructor	Description
	DirectoryFileSource(Path dataDir, OutputFactory<T> outputFactory, TextFeatureExtractor<T> extractor, DocumentPreprocessor... preprocessors)	Creates a data source that will use the given feature extractor and document preprocessors on the data read from the files in the directories representing classes.
	TextDataSource(File file, OutputFactory<T> outputFactory, TextFeatureExtractor<T> extractor, DocumentPreprocessor... preprocessors)	Creates a text data set by reading it from a file.
	TextDataSource(Path path, OutputFactory<T> outputFactory, TextFeatureExtractor<T> extractor, DocumentPreprocessor... preprocessors)	Creates a text data set by reading it from a path.

Uses of OutputFactory in org.tribuo.data.text.impl

Constructors in org.tribuo.data.text.impl with parameters of type OutputFactory

Modifier	Constructor	Description
	SimpleStringDataSource(List<String> rawLines, OutputFactory<T> outputFactory, TextFeatureExtractor<T> extractor)	Constructs a simple string data source from the supplied lines.
	SimpleTextDataSource(File file, OutputFactory<T> outputFactory, TextFeatureExtractor<T> extractor)	Constructs a simple text data source by reading lines from the supplied file.
	SimpleTextDataSource(Path path, OutputFactory<T> outputFactory, TextFeatureExtractor<T> extractor)	Constructs a simple text data source by reading lines from the supplied path.
protected	SimpleTextDataSource(OutputFactory<T> outputFactory, TextFeatureExtractor<T> extractor)

Uses of OutputFactory in org.tribuo.datasource

Methods in org.tribuo.datasource that return OutputFactory

Modifier and Type	Method	Description
OutputFactory<T>	AggregateConfigurableDataSource.getOutputFactory()
OutputFactory<T>	AggregateDataSource.getOutputFactory()
OutputFactory<T>	IDXDataSource.getOutputFactory()
OutputFactory<T>	LibSVMDataSource.getOutputFactory()
OutputFactory<T>	ListDataSource.getOutputFactory()

Constructors in org.tribuo.datasource with parameters of type OutputFactory

Modifier	Constructor	Description
	IDXDataSource(Path featuresPath, Path outputPath, OutputFactory<T> outputFactory)	Constructs an IDXDataSource from the supplied paths.
	LibSVMDataSource(URL url, OutputFactory<T> outputFactory)	Constructs a LibSVMDataSource from the supplied URL and output factory.
	LibSVMDataSource(URL url, OutputFactory<T> outputFactory, boolean zeroIndexed, int maxFeatureID)	Constructs a LibSVMDataSource from the supplied URL and output factory.
	LibSVMDataSource(Path path, OutputFactory<T> outputFactory)	Constructs a LibSVMDataSource from the supplied path and output factory.
	LibSVMDataSource(Path path, OutputFactory<T> outputFactory, boolean zeroIndexed, int maxFeatureID)	Constructs a LibSVMDataSource from the supplied path and output factory.
	ListDataSource(List<Example<T>> list, OutputFactory<T> factory, DataSourceProvenance provenance)	Constructs an in-memory data source wrapping the supplied examples.

Uses of OutputFactory in org.tribuo.interop

Methods in org.tribuo.interop with parameters of type OutputFactory

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 OutputFactory

Modifier	Constructor	Description
	ExternalDatasetProvenance(String description, OutputFactory<T> factory, boolean isSequence, int numFeatures, int numOutputs)	An empty provenance used as a placeholder for externally trained models.

Uses of OutputFactory in org.tribuo.interop.oci

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

Modifier and Type	Method	Description
static <T extends Output<T>> OCIModel<T>	OCIModel.createOCIModel(OutputFactory<T> factory, Map<String,Integer> featureMapping, Map<T,Integer> outputMapping, Path configFile, String profileName, String endpointURL, OCIOutputConverter<T> outputConverter)	Creates an OCIModel by wrapping an OCI DS Model Deployment endpoint.
static <T extends Output<T>> OCIModel<T>	OCIModel.createOCIModel(OutputFactory<T> factory, Map<String,Integer> featureMapping, Map<T,Integer> outputMapping, Path configFile, String endpointURL, OCIOutputConverter<T> outputConverter)	Creates an OCIModel by wrapping an OCI DS Model Deployment endpoint.

Uses of OutputFactory in org.tribuo.interop.onnx

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

Modifier and Type	Method	Description
static <T extends Output<T>> ONNXExternalModel<T>	ONNXExternalModel.createOnnxModel(OutputFactory<T> factory, Map<String,Integer> featureMapping, Map<T,Integer> outputMapping, ExampleTransformer featureTransformer, OutputTransformer<T> outputTransformer, ai.onnxruntime.OrtSession.SessionOptions opts, String filename, String inputName)	Creates an ONNXExternalModel by loading the model from disk.
static <T extends Output<T>> ONNXExternalModel<T>	ONNXExternalModel.createOnnxModel(OutputFactory<T> factory, Map<String,Integer> featureMapping, Map<T,Integer> outputMapping, ExampleTransformer featureTransformer, OutputTransformer<T> outputTransformer, ai.onnxruntime.OrtSession.SessionOptions opts, Path path, String inputName)	Creates an ONNXExternalModel by loading the model from disk.

Uses of OutputFactory in org.tribuo.interop.onnx.extractors

Constructors in org.tribuo.interop.onnx.extractors with parameters of type OutputFactory

Modifier	Constructor	Description
	BERTFeatureExtractor(OutputFactory<T> outputFactory, Path modelPath, Path tokenizerPath)	Constructs a BERTFeatureExtractor.
	BERTFeatureExtractor(OutputFactory<T> outputFactory, Path modelPath, Path tokenizerPath, BERTFeatureExtractor.OutputPooling pooling, int maxLength, boolean useCUDA)	Constructs a BERTFeatureExtractor.

Uses of OutputFactory in org.tribuo.interop.tensorflow

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

Modifier and Type	Method	Description
static <T extends Output<T>> TensorFlowFrozenExternalModel<T>	TensorFlowFrozenExternalModel.createTensorflowModel(OutputFactory<T> factory, Map<String,Integer> featureMapping, Map<T,Integer> outputMapping, String inputName, String outputName, FeatureConverter featureConverter, OutputConverter<T> outputConverter, String filename)	Creates a TensorflowFrozenExternalModel by loading in a frozen graph.
static <T extends Output<T>> TensorFlowSavedModelExternalModel<T>	TensorFlowSavedModelExternalModel.createTensorflowModel(OutputFactory<T> factory, Map<String,Integer> featureMapping, Map<T,Integer> outputMapping, String outputName, FeatureConverter featureConverter, OutputConverter<T> outputConverter, String bundleDirectory)	Creates a TensorflowSavedModelExternalModel by loading in a SavedModelBundle.

Uses of OutputFactory in org.tribuo.multilabel

Classes in org.tribuo.multilabel that implement OutputFactory

Modifier and Type	Class	Description
final class	MultiLabelFactory	A factory for generating MultiLabel objects and their associated OutputInfo and Evaluator objects.

Uses of OutputFactory in org.tribuo.multilabel.example

Methods in org.tribuo.multilabel.example that return OutputFactory

Modifier and Type	Method	Description
OutputFactory<MultiLabel>	MultiLabelGaussianDataSource.getOutputFactory()

Uses of OutputFactory in org.tribuo.provenance

Constructors in org.tribuo.provenance with parameters of type OutputFactory

Modifier	Constructor	Description
	SimpleDataSourceProvenance(String description, OffsetDateTime creationTime, OutputFactory<T> outputFactory)	This constructor initialises the provenance using the supplied description, time and output factory.
	SimpleDataSourceProvenance(String description, OutputFactory<T> outputFactory)	This constructor initialises the provenance using the current time in the system timezone.

Uses of OutputFactory in org.tribuo.regression

Classes in org.tribuo.regression that implement OutputFactory

Modifier and Type	Class	Description
final class	RegressionFactory	A factory for creating Regressors and RegressionInfos.

Uses of OutputFactory in org.tribuo.regression.example

Methods in org.tribuo.regression.example that return OutputFactory

Modifier and Type	Method	Description
OutputFactory<Regressor>	GaussianDataSource.getOutputFactory()
OutputFactory<Regressor>	NonlinearGaussianDataSource.getOutputFactory()

Uses of OutputFactory in org.tribuo.sequence

Fields in org.tribuo.sequence declared as OutputFactory

Modifier and Type	Field	Description
protected final OutputFactory<T>	SequenceDataset.outputFactory	A factory for making OutputInfo and Output of the appropriate type.

Methods in org.tribuo.sequence that return OutputFactory

Modifier and Type	Method	Description
OutputFactory<T>	SequenceDataset.getOutputFactory()	Gets the output factory.
OutputFactory<T>	SequenceDataSource.getOutputFactory()	Gets the OutputFactory which was used to generate the Outputs in this SequenceDataSource.

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

Modifier and Type	Method	Description
static <T extends Output<T>> SequenceExample<T>	SequenceExample.createWithEmptyOutputs(List<? extends List<? extends Feature>> features, OutputFactory<T> outputFactory)	Creates a SequenceExample using getUnknownOutput() as the output for each sequence element.

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

Modifier	Constructor	Description
	ImmutableSequenceDataset(Iterable<SequenceExample<T>> dataSource, DataProvenance sourceProvenance, FeatureMap featureIDMap, OutputInfo<T> outputIDInfo, OutputFactory<T> outputFactory)	Creates a dataset from a data source.
	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, OutputFactory<T> outputFactory)	If you call this it's your job to setup outputIDInfo and featureIDMap.
	MutableSequenceDataset(Iterable<SequenceExample<T>> dataSource, DataProvenance sourceProvenance, OutputFactory<T> outputFactory)	Creates a dataset from a data source.
	MutableSequenceDataset(DataProvenance sourceProvenance, OutputFactory<T> outputFactory)	Creates an empty sequence dataset.
protected	SequenceDataset(DataProvenance sourceProvenance, OutputFactory<T> outputFactory)