Uses of Class
org.tribuo.Feature

Packages that use Feature

Package	Description
org.tribuo	Provides the core interfaces and classes for using Tribuo.
org.tribuo.classification.sequence.viterbi	Provides an implementation of Viterbi for generating structured outputs, which can sit on top of any Label based classification model.
org.tribuo.clustering.kmeans	Provides a multithreaded implementation of K-Means, with a configurable distance function.
org.tribuo.data.columnar	Provides classes for processing columnar data and generating Examples.
org.tribuo.data.columnar.processors.field	Provides implementations of FieldProcessor.
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.impl	Provides implementations of base classes and interfaces from org.tribuo.
org.tribuo.interop.onnx.extractors	Provides feature extraction implementations which use ONNX models.
org.tribuo.sequence	Provides core classes for working with sequences of Examples.

Uses of Feature in org.tribuo

Methods in org.tribuo that return Feature

Modifier and Type	Method and Description
Feature	Feature.clone()
Feature	Example.lookup(String i) Returns the Feature in this Example which has the supplied name, if it's present.

Methods in org.tribuo that return types with arguments of type Feature

Modifier and Type	Method and Description
static Comparator<Feature>	Feature.featureNameComparator() A comparator using the lexicographic ordering of feature names.

Methods in org.tribuo with parameters of type Feature

Modifier and Type	Method and Description
abstract void	Example.add(Feature feature) Adds a feature.
int	Feature.compareTo(Feature o)
abstract void	Example.set(Feature feature) Overwrites the feature with the matching name.

Method parameters in org.tribuo with type arguments of type Feature

Modifier and Type	Method and Description
abstract void	Example.addAll(Collection<? extends Feature> features) Adds a collection of features.
abstract void	Example.removeFeatures(List<Feature> featureList) Removes all features in this list from the Example.

Uses of Feature in org.tribuo.classification.sequence.viterbi

Methods in org.tribuo.classification.sequence.viterbi that return types with arguments of type Feature

Modifier and Type	Method and Description
List<Feature>	NoopFeatureExtractor.extractFeatures(List<Label> previousOutcomes, double value)
List<Feature>	LabelFeatureExtractor.extractFeatures(List<Label> previousOutcomes, double value) Generates features based on the previously produced labels.
List<Feature>	DefaultFeatureExtractor.extractFeatures(List<Label> previousOutcomes, double value)

Uses of Feature in org.tribuo.clustering.kmeans

Methods in org.tribuo.clustering.kmeans that return types with arguments of type Feature

Modifier and Type	Method and Description
List<List<Feature>>	KMeansModel.getCentroids() Returns a list of features, one per centroid.

Uses of Feature in org.tribuo.data.columnar

Subclasses of Feature in org.tribuo.data.columnar

Modifier and Type	Class and Description
class	ColumnarFeature A Feature with extra bookkeeping for use inside the columnar package.

Uses of Feature in org.tribuo.data.columnar.processors.field

Method parameters in org.tribuo.data.columnar.processors.field with type arguments of type Feature

Modifier and Type	Method and Description
static List<ColumnarFeature>	TextFieldProcessor.wrapFeatures(String fieldName, List<Feature> inputFeatures) Convert the Features from a text pipeline into ColumnarFeatures with the right field name.

Uses of Feature in org.tribuo.data.text

Methods in org.tribuo.data.text that return types with arguments of type Feature

Modifier and Type	Method and Description
List<Feature>	FeatureAggregator.aggregate(List<Feature> input) Aggregates feature values with the same names.
List<Feature>	FeatureTransformer.map(String tag, List<Feature> features) Transforms features into a new list of features
List<Feature>	TextProcessor.process(String text) Extracts features from the supplied text.
List<Feature>	TextProcessor.process(String tag, String text) Extracts features from the supplied text.
List<Feature>	TextPipeline.process(String tag, String data) Extracts a list of features from the supplied text, using the tag to prepend the feature names.

Method parameters in org.tribuo.data.text with type arguments of type Feature

Modifier and Type	Method and Description
List<Feature>	FeatureAggregator.aggregate(List<Feature> input) Aggregates feature values with the same names.
List<Feature>	FeatureTransformer.map(String tag, List<Feature> features) Transforms features into a new list of features

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

Methods in org.tribuo.data.text.impl that return types with arguments of type Feature

Modifier and Type	Method and Description
List<Feature>	UniqueAggregator.aggregate(List<Feature> input)
List<Feature>	SumAggregator.aggregate(List<Feature> input)
List<Feature>	AverageAggregator.aggregate(List<Feature> input)
List<Feature>	FeatureHasher.map(String tag, List<Feature> features)
List<Feature>	NgramProcessor.process(String text)
List<Feature>	TokenPipeline.process(String tag, String data)
List<Feature>	NgramProcessor.process(String tag, String text)
List<Feature>	BasicPipeline.process(String tag, String data)

Method parameters in org.tribuo.data.text.impl with type arguments of type Feature

Modifier and Type	Method and Description
List<Feature>	UniqueAggregator.aggregate(List<Feature> input)
List<Feature>	SumAggregator.aggregate(List<Feature> input)
List<Feature>	AverageAggregator.aggregate(List<Feature> input)
List<Feature>	FeatureHasher.map(String tag, List<Feature> features)

Uses of Feature in org.tribuo.impl

Methods in org.tribuo.impl that return Feature

Modifier and Type	Method and Description
Feature	ListExample.lookup(String i)
Feature	BinaryFeaturesExample.lookup(String i)
Feature	ArrayExample.lookup(String i)

Methods in org.tribuo.impl that return types with arguments of type Feature

Modifier and Type	Method and Description
Iterator<Feature>	ListExample.iterator()
Iterator<Feature>	BinaryFeaturesExample.iterator()
Iterator<Feature>	ArrayExample.iterator()

Methods in org.tribuo.impl with parameters of type Feature

Modifier and Type	Method and Description
void	ListExample.add(Feature feature)
void	IndexedArrayExample.add(Feature feature)
void	BinaryFeaturesExample.add(Feature feature) Adds a feature to this example.
void	ArrayExample.add(Feature feature)
static void	BinaryFeaturesExample.checkIsBinary(Feature feature)
static boolean	BinaryFeaturesExample.isBinary(Feature feature)
void	ListExample.set(Feature feature)
void	BinaryFeaturesExample.set(Feature feature)
void	ArrayExample.set(Feature feature)

Method parameters in org.tribuo.impl with type arguments of type Feature

Modifier and Type	Method and Description
void	ListExample.addAll(Collection<? extends Feature> features)
void	IndexedArrayExample.addAll(Collection<? extends Feature> features)
void	BinaryFeaturesExample.addAll(Collection<? extends Feature> features) Adds a collection of features to this example.
void	ArrayExample.addAll(Collection<? extends Feature> features)
void	ListExample.removeFeatures(List<Feature> featureList)
void	IndexedArrayExample.removeFeatures(List<Feature> featureList)
void	BinaryFeaturesExample.removeFeatures(List<Feature> featureList)
void	ArrayExample.removeFeatures(List<Feature> featureList)

Constructor parameters in org.tribuo.impl with type arguments of type Feature

Constructor and Description
ArrayExample(T output, List<? extends Feature> features) Constructs an example from an output and a list of features.
BinaryFeaturesExample(T output, List<? extends Feature> features) Constructs an example from an output and a list of features.
ListExample(T output, List<? extends Feature> features)

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

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

Modifier and Type	Method and Description
List<Feature>	BERTFeatureExtractor.process(String tag, String data) Tokenizes the input using the loaded tokenizer, truncates the token list if it's longer than maxLength - 2 (to account for [CLS] and [SEP] tokens), and then passes the token list to BERTFeatureExtractor.extractExample(java.util.List<java.lang.String>).

Uses of Feature in org.tribuo.sequence

Methods in org.tribuo.sequence that return types with arguments of type Feature

Modifier and Type	Method and Description
Iterator<Feature>	SequenceExample.featureIterator() Creates an iterator over every feature in this sequence.

Method parameters in org.tribuo.sequence with type arguments of type Feature

Modifier and Type	Method and Description
static <T extends Output<T>> SequenceExample<T>	SequenceExample.createWithEmptyOutputs(List<? extends List<? extends Feature>> features, OutputFactory<T> outputFactory) Creates a SequenceExample using OutputFactory.getUnknownOutput() as the output for each sequence element.
void	SequenceExample.removeFeatures(List<Feature> features) Removes the features in the supplied list from each example contained in this sequence.

Constructor parameters in org.tribuo.sequence with type arguments of type Feature

Constructor and Description
SequenceExample(List<T> outputs, List<? extends List<? extends Feature>> features) Creates a sequence example from the supplied outputs and list of list of features.
SequenceExample(List<T> outputs, List<? extends List<? extends Feature>> features, boolean attemptBinaryFeatures)
SequenceExample(List<T> outputs, List<? extends List<? extends Feature>> features, float weight) Creates a sequence example from the supplied weight, outputs and list of list of features.
SequenceExample(List<T> outputs, List<? extends List<? extends Feature>> features, float weight, boolean attemptBinaryFeatures)