Uses of Class
org.tribuo.ImmutableFeatureMap

Packages that use ImmutableFeatureMap

Package	Description
org.tribuo	Provides the core interfaces and classes for using Tribuo.
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.hash	Provides the base interface and implementations of the Model hashing which obscures the feature names stored in a model.
org.tribuo.impl	Provides implementations of base classes and interfaces from org.tribuo.
org.tribuo.sequence	Provides core classes for working with sequences of Examples.

Uses of ImmutableFeatureMap in org.tribuo

Fields in org.tribuo declared as ImmutableFeatureMap

Modifier and Type	Field	Description
protected ImmutableFeatureMap	ImmutableDataset.featureIDMap	A map from feature names to IDs for the features found in this dataset.
protected final ImmutableFeatureMap	Model.featureIDMap	The features this model knows about.

Methods in org.tribuo that return ImmutableFeatureMap

Modifier and Type	Method	Description
static ImmutableFeatureMap	ImmutableFeatureMap.deserializeFromProto(int version, String className, com.google.protobuf.Any message)	Deserialization factory.
abstract ImmutableFeatureMap	Dataset.getFeatureIDMap()	Returns or generates an ImmutableFeatureMap.
ImmutableFeatureMap	ImmutableDataset.getFeatureIDMap()
ImmutableFeatureMap	Model.getFeatureIDMap()	Gets the feature domain.
ImmutableFeatureMap	MutableDataset.getFeatureIDMap()
ImmutableFeatureMap	ImmutableDataset.getFeatureMap()

Methods in org.tribuo with parameters of type ImmutableFeatureMap

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.

Constructors in org.tribuo with parameters of type ImmutableFeatureMap

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 provenance, OutputFactory<T> factory, String tribuoVersion, ImmutableFeatureMap fmap, ImmutableOutputInfo<T> outputInfo, List<Example<T>> examples, boolean dropInvalidExamples)	Deserialization constructor.
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 ImmutableFeatureMap in org.tribuo.dataset

Methods in org.tribuo.dataset that return ImmutableFeatureMap

Modifier and Type	Method	Description
ImmutableFeatureMap	DatasetView.getFeatureMap()

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

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 ImmutableFeatureMap

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 ImmutableFeatureMap in org.tribuo.ensemble

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

Modifier and Type	Method	Description
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 ImmutableFeatureMap

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 ImmutableFeatureMap in org.tribuo.hash

Subclasses of ImmutableFeatureMap in org.tribuo.hash

Modifier and Type	Class	Description
final class	HashedFeatureMap	A FeatureMap used by the HashingTrainer to provide feature name hashing and guarantee that the Model does not contain feature name information, but still works with unhashed features names.

Uses of ImmutableFeatureMap in org.tribuo.impl

Methods in org.tribuo.impl that return ImmutableFeatureMap

Modifier and Type	Method	Description
ImmutableFeatureMap	ModelDataCarrier.featureDomain()	The feature domain.

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

Modifier	Constructor	Description
	IndexedArrayExample(Example<T> other, ImmutableFeatureMap featureMap, ImmutableOutputInfo<T> outputMap)	This constructor removes unknown features.
	ModelDataCarrier(String name, ModelProvenance provenance, ImmutableFeatureMap featureDomain, ImmutableOutputInfo<T> outputDomain, boolean generatesProbabilities, String tribuoVersion)	Constructs a new ModelDataCarrier.

Uses of ImmutableFeatureMap in org.tribuo.sequence

Fields in org.tribuo.sequence declared as ImmutableFeatureMap

Modifier and Type	Field	Description
protected ImmutableFeatureMap	ImmutableSequenceDataset.featureIDMap	A map from feature names to IDs for the features found in this dataset.
protected final ImmutableFeatureMap	SequenceModel.featureIDMap	The feature domain.

Methods in org.tribuo.sequence that return ImmutableFeatureMap

Modifier and Type	Method	Description
ImmutableFeatureMap	ImmutableSequenceDataset.getFeatureIDMap()
ImmutableFeatureMap	MutableSequenceDataset.getFeatureIDMap()
abstract ImmutableFeatureMap	SequenceDataset.getFeatureIDMap()	An immutable view on the feature map.
ImmutableFeatureMap	SequenceModel.getFeatureIDMap()	Gets the feature domain.
ImmutableFeatureMap	ImmutableSequenceDataset.getFeatureMap()

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

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 ImmutableFeatureMap

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.
protected	ImmutableSequenceDataset(DataProvenance provenance, OutputFactory<T> factory, String tribuoVersion, ImmutableFeatureMap fmap, ImmutableOutputInfo<T> outputInfo, List<SequenceExample<T>> examples)	Deserialization constructor.
	SequenceModel(String name, ModelProvenance provenance, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDMap)	Builds a SequenceModel.