Package | Description |
---|---|
org.tribuo.classification.evaluation |
Evaluation classes for multi-class classification.
|
org.tribuo.classification.sequence |
Provides infrastructure for
SequenceModel s which
emit Label s 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.evaluation.metrics |
This package contains the infrastructure classes for building evaluation metrics.
|
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.provenance |
Provides Tribuo specific infrastructure for the
Provenance system which
tracks models and datasets. |
org.tribuo.provenance.impl |
Provides internal implementations for empty provenance classes and TrainerProvenance.
|
org.tribuo.sequence |
Provides core classes for working with sequences of
Example s. |
Class and Description |
---|
SequenceModel
A prediction model, which is used to predict outputs for unseen instances.
|
Class and Description |
---|
AbstractSequenceEvaluator
Base class for sequence evaluators.
|
SequenceEvaluation
An immutable evaluation of a specific sequence model and dataset.
|
SequenceEvaluator
An evaluation factory which produces immutable
SequenceEvaluation s of a given SequenceDataset using the given SequenceModel . |
SequenceExample
A sequence of examples, used for sequence classification.
|
SequenceModel
A prediction model, which is used to predict outputs for unseen instances.
|
SequenceTrainer
An interface for things that can train sequence prediction models.
|
Class and Description |
---|
MutableSequenceDataset
A MutableSequenceDataset is a
SequenceDataset with a MutableFeatureMap which grows over time. |
SequenceExample
A sequence of examples, used for sequence classification.
|
Class and Description |
---|
SequenceDataset
A class for sets of data, which are used to train and evaluate classifiers.
|
SequenceExample
A sequence of examples, used for sequence classification.
|
SequenceModel
A prediction model, which is used to predict outputs for unseen instances.
|
SequenceTrainer
An interface for things that can train sequence prediction models.
|
Class and Description |
---|
SequenceDataset
A class for sets of data, which are used to train and evaluate classifiers.
|
SequenceExample
A sequence of examples, used for sequence classification.
|
SequenceModel
A prediction model, which is used to predict outputs for unseen instances.
|
SequenceTrainer
An interface for things that can train sequence prediction models.
|
Class and Description |
---|
SequenceModel
A prediction model, which is used to predict outputs for unseen instances.
|
Class and Description |
---|
SequenceExample
A sequence of examples, used for sequence classification.
|
Class and Description |
---|
SequenceDataset
A class for sets of data, which are used to train and evaluate classifiers.
|
SequenceExample
A sequence of examples, used for sequence classification.
|
SequenceModel
A prediction model, which is used to predict outputs for unseen instances.
|
SequenceTrainer
An interface for things that can train sequence prediction models.
|
Class and Description |
---|
SequenceDataset
A class for sets of data, which are used to train and evaluate classifiers.
|
SequenceTrainer
An interface for things that can train sequence prediction models.
|
Class and Description |
---|
SequenceTrainer
An interface for things that can train sequence prediction models.
|
Class and Description |
---|
ImmutableSequenceDataset
This is a
SequenceDataset which has an ImmutableFeatureMap to store the feature information. |
IndependentSequenceModel
A SequenceModel which independently predicts each element of the sequence.
|
SequenceDataset
A class for sets of data, which are used to train and evaluate classifiers.
|
SequenceDataSource
A interface for things that can be given to a SequenceDataset's constructor.
|
SequenceEvaluation
An immutable evaluation of a specific sequence model and dataset.
|
SequenceEvaluator
An evaluation factory which produces immutable
SequenceEvaluation s of a given SequenceDataset using the given SequenceModel . |
SequenceExample
A sequence of examples, used for sequence classification.
|
SequenceModel
A prediction model, which is used to predict outputs for unseen instances.
|
SequenceTrainer
An interface for things that can train sequence prediction models.
|
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