Package | Description |
---|---|
org.tribuo.classification.sequence |
Provides infrastructure for
SequenceModel s which
emit Label s at each step of the sequence. |
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.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. |
Modifier and Type | Field and Description |
---|---|
SequenceTrainer<Label> |
SeqTrainTest.SeqTrainTestOptions.trainer |
Modifier and Type | Class and Description |
---|---|
class |
ViterbiTrainer
Builds a Viterbi model using the supplied
Trainer . |
Modifier and Type | Class and Description |
---|---|
class |
CRFTrainer
A trainer for CRFs using SGD.
|
Modifier and Type | Class and Description |
---|---|
class |
TensorFlowSequenceTrainer<T extends Output<T>>
A trainer for SequenceModels which use an underlying TensorFlow graph.
|
Constructor and Description |
---|
SkeletalTrainerProvenance(SequenceTrainer<T> host) |
Constructor and Description |
---|
TrainerProvenanceImpl(SequenceTrainer<T> host)
Construct a TrainerProvenance by reading all the configurable parameters
along with the train call count.
|
Modifier and Type | Class and Description |
---|---|
class |
HashingSequenceTrainer<T extends Output<T>>
A SequenceTrainer that hashes all the feature names on the way in.
|
class |
IndependentSequenceTrainer<T extends Output<T>>
Trains a sequence model by training a regular model to independently predict every example in each sequence.
|
Constructor and Description |
---|
HashingSequenceTrainer(SequenceTrainer<T> trainer,
Hasher hasher) |
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