Uses of Class
org.tribuo.sequence.SequenceExample

Packages that use SequenceExample

Package	Description
org.tribuo.classification.sequence	Provides infrastructure for SequenceModels which emit Labels at each step of the sequence.
org.tribuo.classification.sequence.example	Provides a classification sequence data generator for smoke testing implementations.
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.classification.sgd.crf	Provides an implementation of a linear chain CRF trained using Stochastic Gradient Descent.
org.tribuo.interop.onnx.extractors	Provides feature extraction implementations which use ONNX models.
org.tribuo.interop.tensorflow.sequence	Provides an interface for working with TensorFlow sequence models, using Tribuo's SequenceModel abstraction.
org.tribuo.sequence	Provides core classes for working with sequences of Examples.

Uses of SequenceExample in org.tribuo.classification.sequence

Methods in org.tribuo.classification.sequence with parameters of type SequenceExample

Modifier and Type	Method	Description
abstract <SUB extends ConfidencePredictingSequenceModel.Subsequence> List<Double>	ConfidencePredictingSequenceModel.scoreSubsequences(SequenceExample<Label> example, List<Prediction<Label>> predictions, List<SUB> subsequences)	The scoring function for the subsequences.

Uses of SequenceExample in org.tribuo.classification.sequence.example

Methods in org.tribuo.classification.sequence.example that return SequenceExample

Modifier and Type	Method	Description
static SequenceExample<Label>	SequenceDataGenerator.generateEmptyExample()	This generates a sequence example with no examples.
static SequenceExample<Label>	SequenceDataGenerator.generateGorillaA()	Generates a sequence example with a mixture of features and three labels "O", "Status" and "Monkey".
static SequenceExample<Label>	SequenceDataGenerator.generateGorillaB()	Generates a sequence example with a mixture of features and three labels "O", "Status" and "Monkey".
static SequenceExample<Label>	SequenceDataGenerator.generateInvalidExample()	This generates a sequence example with features that are unused by the training data.
static SequenceExample<Label>	SequenceDataGenerator.generateOtherInvalidExample()	This generates a sequence example where the first example has no features.

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

Methods in org.tribuo.classification.sequence.viterbi with parameters of type SequenceExample

Modifier and Type	Method	Description
List<Prediction<Label>>	ViterbiModel.predict(SequenceExample<Label> examples)

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

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

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 <T extends Output<T>> SparseVector[]	CRFModel.convert(SequenceExample<T> example, ImmutableFeatureMap featureIDMap)	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.
static <T extends Output<T>> SGDVector[]	CRFModel.convertToVector(SequenceExample<T> example, ImmutableFeatureMap featureIDMap)	Converts a SequenceExample into an array of SGDVectors suitable for CRF prediction.
List<Prediction<Label>>	CRFModel.predict(SequenceExample<Label> example)
List<Double>	CRFModel.scoreChunks(SequenceExample<Label> example, List<Chunk> chunks)	Scores the chunks using constrained belief propagation.
<SUB extends ConfidencePredictingSequenceModel.Subsequence> List<Double>	CRFModel.scoreSubsequences(SequenceExample<Label> example, List<Prediction<Label>> predictions, List<SUB> subsequences)

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

Methods in org.tribuo.interop.onnx.extractors that return SequenceExample

Modifier and Type	Method	Description
SequenceExample<T>	BERTFeatureExtractor.extractSequenceExample(List<String> tokens, boolean stripSentenceMarkers)	Passes the tokens through BERT, replacing any unknown tokens with the [UNK] token.
SequenceExample<T>	BERTFeatureExtractor.extractSequenceExample(List<String> tokens, List<T> output, boolean stripSentenceMarkers)	Passes the tokens through BERT, replacing any unknown tokens with the [UNK] token.

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

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

Modifier and Type	Method	Description
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	SequenceFeatureConverter.encode(SequenceExample<?> example, ImmutableFeatureMap featureMap)	Encodes an example as a feed dict.
TensorMap	SequenceOutputConverter.encode(SequenceExample<T> example, ImmutableOutputInfo<T> labelMap)	Encodes an example's label as a feed dict.
List<Prediction<T>>	TensorFlowSequenceModel.predict(SequenceExample<T> example)

Method parameters in org.tribuo.interop.tensorflow.sequence with type arguments of type SequenceExample

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.
TensorMap	SequenceFeatureConverter.encode(List<? extends SequenceExample<?>> batch, ImmutableFeatureMap featureMap)	Encodes a batch of examples as a feed dict.
TensorMap	SequenceOutputConverter.encode(List<SequenceExample<T>> batch, ImmutableOutputInfo<T> labelMap)	Encodes a batch of labels as a feed dict.

Uses of SequenceExample in org.tribuo.sequence

Fields in org.tribuo.sequence with type parameters of type SequenceExample

Modifier and Type	Field	Description
protected final List<SequenceExample<T>>	SequenceDataset.data	The data in this data set.

Methods in org.tribuo.sequence that return SequenceExample

Modifier and Type	Method	Description
SequenceExample<T>	SequenceExample.copy()	Returns a deep copy of this SequenceExample.
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.
SequenceExample<T>	SequenceDataset.getExample(int index)	Gets the example at the specified index, or throws IllegalArgumentException if the index is out of bounds.

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

Modifier and Type	Method	Description
List<SequenceExample<T>>	SequenceDataset.getData()	Returns an unmodifiable view on the data.
Iterator<SequenceExample<T>>	SequenceDataset.iterator()

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

Modifier and Type	Method	Description
protected void	ImmutableSequenceDataset.add(SequenceExample<T> ex)	Adds a SequenceExample to the dataset, which will insert feature ids, remove unknown features and sort the examples by the feature ids.
protected void	ImmutableSequenceDataset.add(SequenceExample<T> ex, Merger merger)	Adds a SequenceExample to the dataset, which will insert feature ids, remove unknown features and sort the examples by the feature ids.
void	MutableSequenceDataset.add(SequenceExample<T> ex)	Adds a SequenceExample to this dataset.
List<Prediction<T>>	IndependentSequenceModel.predict(SequenceExample<T> example)
abstract List<Prediction<T>>	SequenceModel.predict(SequenceExample<T> example)	Uses the model to predict the output for a single example.

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

Modifier and Type	Method	Description
void	MutableSequenceDataset.addAll(Collection<SequenceExample<T>> collection)	Adds all the SequenceExamples in the supplied collection to this dataset.
List<List<Prediction<T>>>	SequenceModel.predict(Iterable<SequenceExample<T>> examples)	Uses the model to predict the output for multiple examples.

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

Modifier	Constructor	Description
	SequenceExample(SequenceExample<T> other)	Creates a deep copy of the supplied sequence example.

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

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.
	MutableSequenceDataset(Iterable<SequenceExample<T>> dataSource, DataProvenance sourceProvenance, OutputFactory<T> outputFactory)	Creates a dataset from a data source.