Class IndependentMultiLabelTrainer

java.lang.Object

org.tribuo.multilabel.baseline.IndependentMultiLabelTrainer

All Implemented Interfaces:

com.oracle.labs.mlrg.olcut.config.Configurable, com.oracle.labs.mlrg.olcut.provenance.Provenancable<TrainerProvenance>, Trainer<MultiLabel>

public class IndependentMultiLabelTrainer
extends Object
implements Trainer<MultiLabel>

Trains n independent binary Models, each of which predicts a single Label.

Then wraps it up in an IndependentMultiLabelModel to provide a MultiLabel prediction.

It trains each model sequentially, and could be optimised to train in parallel.

Field Summary

Fields inherited from interface org.tribuo.Trainer

DEFAULT_SEED

Constructor Summary

Constructors

Constructor	Description
IndependentMultiLabelTrainer(Trainer<Label> innerTrainer)

Method Summary

Modifier and Type	Method	Description
int	getInvocationCount()	The number of times this trainer instance has had it's train method invoked.
TrainerProvenance	getProvenance()
String	toString()
Model<MultiLabel>	train(Dataset<MultiLabel> examples, Map<String, com.oracle.labs.mlrg.olcut.provenance.Provenance> runProvenance)	Trains a predictive 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 com.oracle.labs.mlrg.olcut.config.Configurable

postConfig

Methods inherited from interface org.tribuo.Trainer

train

Constructor Details

IndependentMultiLabelTrainer

public IndependentMultiLabelTrainer(Trainer<Label> innerTrainer)

Method Details

train

public Model<MultiLabel> train(Dataset<MultiLabel> examples,
 Map<String, com.oracle.labs.mlrg.olcut.provenance.Provenance> runProvenance)

Description copied from interface: Trainer

Trains a predictive model using the examples in the given data set.

Specified by:

train in interface Trainer<MultiLabel>

Parameters:

examples - 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: Trainer

The number of times this trainer instance has had it's train method invoked.

This is used to determine how many times the trainer's RNG has been accessed to ensure replicability in the random number stream.

Specified by:

getInvocationCount in interface Trainer<MultiLabel>

Returns:

The number of train invocations.

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>