Package org.tribuo.sequence

Class IndependentSequenceModel<T extends Output<T>>

java.lang.Object

org.tribuo.sequence.SequenceModel<T>

org.tribuo.sequence.IndependentSequenceModel<T>

Type Parameters:

T - The output type.

All Implemented Interfaces:

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

public class IndependentSequenceModel<T extends Output<T>>
extends SequenceModel<T>

A SequenceModel which independently predicts each element of the sequence.

See Also:

• Serialized Form

Field Summary

Fields inherited from class org.tribuo.sequence.SequenceModel

featureIDMap, name, outputIDMap, provenanceOutput

Method Summary

Modifier and Type	Method	Description
Map<String,List<com.oracle.labs.mlrg.olcut.util.Pair<String,Double>>>	getTopFeatures(int n)	Gets the top n features associated with this model.
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

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 n)

Description copied from class: SequenceModel

Gets the top n features associated with this model.

If the model does not produce per output feature lists, it returns a map with a single element with key Model.ALL_OUTPUTS.

If the model cannot describe it's top features then it returns Collections.emptyMap().

Specified by:

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

Parameters:

n - 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