Package org.tribuo.interop.tensorflow.sequence

Class TensorFlowSequenceModel<T extends Output<T>>

java.lang.Object

org.tribuo.sequence.SequenceModel<T>

org.tribuo.interop.tensorflow.sequence.TensorFlowSequenceModel<T>

All Implemented Interfaces:

com.oracle.labs.mlrg.olcut.provenance.Provenancable<ModelProvenance>, Serializable, AutoCloseable

public class TensorFlowSequenceModel<T extends Output<T>>
extends SequenceModel<T>
implements AutoCloseable

A TensorFlow model which implements SequenceModel, suitable for use in sequential prediction tasks.

N.B. TensorFlow support is experimental and may change without a major version bump.

See Also:

• Serialized Form

Field Summary

Fields

Modifier and Type	Field	Description
protected final SequenceFeatureConverter	featureConverter
protected final SequenceOutputConverter<T>	outputConverter
protected final String	predictOp

Fields inherited from class org.tribuo.sequence.SequenceModel

featureIDMap, name, outputIDMap, provenanceOutput

Method Summary

Modifier and Type	Method	Description
void	close()	Close the session and graph if they exist.
Map<String,List<com.oracle.labs.mlrg.olcut.util.Pair<String,Double>>>	getTopFeatures(int i)	Returns an empty map, as the top features are not well defined for most TensorFlow models.
List<Prediction<T>>	predict(SequenceExample<T> example)	Uses the model to predict the output for a single example.

Methods inherited from class org.tribuo.sequence.SequenceModel

getFeatureIDMap, getName, getOutputIDInfo, getProvenance, predict, predict, setName, toMaxLabels, toString, validate

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Field Details

featureConverter

protected final SequenceFeatureConverter featureConverter

outputConverter

protected final SequenceOutputConverter<T extends Output<T>> outputConverter

predictOp

protected final String predictOp

Method Details

predict

public List<Prediction<T>> predict(SequenceExample<T> example)

Description copied from class: SequenceModel

Uses the model to predict the output for a single example.

Specified by:

predict in class SequenceModel<T extends Output<T>>

Parameters:

example - the example to predict.

Returns:

the result of the prediction.

getTopFeatures

public Map<String,List<com.oracle.labs.mlrg.olcut.util.Pair<String,Double>>> getTopFeatures(int i)

Returns an empty map, as the top features are not well defined for most TensorFlow models.

Specified by:

getTopFeatures in class SequenceModel<T extends Output<T>>

Parameters:

i - the number of features to return. If this value is less than 0, all features should be returned for each class, unless the model cannot score it's features.

Returns:

a map from string outputs to an ordered list of pairs of feature names and weights associated with that feature in the model

close

public void close()

Close the session and graph if they exist.

Specified by:

close in interface AutoCloseable