org.tribuo.sequence

Class IndependentSequenceTrainer<T extends Output<T>>

java.lang.Object

org.tribuo.sequence.IndependentSequenceTrainer<T>

Type Parameters:

T - The output type.

All Implemented Interfaces:

com.oracle.labs.mlrg.olcut.config.Configurable, com.oracle.labs.mlrg.olcut.provenance.Provenancable<TrainerProvenance>, SequenceTrainer<T>

public class IndependentSequenceTrainer<T extends Output<T>>
extends Object
implements SequenceTrainer<T>

Trains a sequence model by training a regular model to independently predict every example in each sequence.

Constructor Summary

Constructors

Constructor and Description
IndependentSequenceTrainer(Trainer<T> innerTrainer) Builds a sequence trainer which uses a Trainer to independently predict each sequence element.

Method Summary

Modifier and Type	Method and Description
int	getInvocationCount() Returns the number of times the train method has been invoked.
TrainerProvenance	getProvenance()
String	toString()
IndependentSequenceModel<T>	train(SequenceDataset<T> sequenceExamples, Map<String,com.oracle.labs.mlrg.olcut.provenance.Provenance> runProvenance) Trains a sequence prediction model using the examples in the given data set.

Methods inherited from class java.lang.Object

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

Methods inherited from interface org.tribuo.sequence.SequenceTrainer

train

Methods inherited from interface com.oracle.labs.mlrg.olcut.config.Configurable

postConfig

Constructor Detail

IndependentSequenceTrainer

public IndependentSequenceTrainer(Trainer<T> innerTrainer)

Builds a sequence trainer which uses a Trainer to independently predict each sequence element.

Parameters:

innerTrainer - The trainer to use.

Method Detail

train

public IndependentSequenceModel<T> train(SequenceDataset<T> sequenceExamples,
                                         Map<String,com.oracle.labs.mlrg.olcut.provenance.Provenance> runProvenance)

Description copied from interface: SequenceTrainer

Trains a sequence prediction model using the examples in the given data set.

Specified by:

train in interface SequenceTrainer<T extends Output<T>>

Parameters:

sequenceExamples - the data set containing the examples.

runProvenance - Training run specific provenance (e.g., fold number).

Returns:

a predictive model that can be used to generate predictions for new examples.

getInvocationCount

public int getInvocationCount()

Description copied from interface: SequenceTrainer

Returns the number of times the train method has been invoked.

Specified by:

getInvocationCount in interface SequenceTrainer<T extends Output<T>>

Returns:

The number of times train has been invoked.

toString

public String toString()

Overrides:

toString in class Object

getProvenance

public TrainerProvenance getProvenance()

Specified by:

getProvenance in interface com.oracle.labs.mlrg.olcut.provenance.Provenancable<TrainerProvenance>