org.jbpm.prediction.pmml

Class PMMLRandomForest

java.lang.Object

org.jbpm.prediction.pmml.AbstractPMMLBackend

org.jbpm.prediction.pmml.PMMLRandomForest

All Implemented Interfaces:

org.kie.internal.task.api.prediction.PredictionService

public class PMMLRandomForest
extends AbstractPMMLBackend

Field Summary

Fields

Modifier and Type	Field and Description
static String	IDENTIFIER

Fields inherited from class org.jbpm.prediction.pmml.AbstractPMMLBackend

confidenceThreshold, inputFeatures, outcomeFeatureName, outputFields

Constructor Summary

Constructors

Constructor and Description
PMMLRandomForest()
PMMLRandomForest(List<String> inputFeatures, String outputFeatureName, double confidenceThreshold, File pmmlFile)
PMMLRandomForest(PMMLRandomForestConfiguration configuration)

Method Summary

Modifier and Type	Method and Description
String	getIdentifier()
org.kie.internal.task.api.prediction.PredictionOutcome	predict(org.kie.api.task.model.Task task, Map<String,Object> data) Returns a model prediction given the input data
protected Map<String,Object>	preProcess(Map<String,Object> data) Returns the processed data (e.g. perform categorisation, etc).

Methods inherited from class org.jbpm.prediction.pmml.AbstractPMMLBackend

evaluate, train

Methods inherited from class java.lang.Object

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

Field Detail

IDENTIFIER

public static final String IDENTIFIER

See Also:

Constant Field Values

Constructor Detail

PMMLRandomForest

public PMMLRandomForest()

PMMLRandomForest

public PMMLRandomForest(PMMLRandomForestConfiguration configuration)

PMMLRandomForest

public PMMLRandomForest(List<String> inputFeatures,
                        String outputFeatureName,
                        double confidenceThreshold,
                        File pmmlFile)

Method Detail

preProcess

protected Map<String,Object> preProcess(Map<String,Object> data)

Returns the processed data (e.g. perform categorisation, etc). If no processing is needed, simply return the original data.

Specified by:

preProcess in class AbstractPMMLBackend

Parameters:

data - A map containing the input data, with attribute names as key and values as values.

Returns:

data A map containing the processed data, with attribute names as key and values as values.

getIdentifier

public String getIdentifier()

predict

public org.kie.internal.task.api.prediction.PredictionOutcome predict(org.kie.api.task.model.Task task,
                                                                      Map<String,Object> data)

Returns a model prediction given the input data

Parameters:

task - Human task data

data - A map containing the input attribute names as keys and the attribute values as values.

Returns:

A PredictionOutcome containing the model's prediction for the input data.