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A

AbstractPMMLBackend - Class in org.jbpm.prediction.pmml

AbstractPMMLBackend(List<String>, String, double, File) - Constructor for class org.jbpm.prediction.pmml.AbstractPMMLBackend

addStrategy(PMMLRandomForest) - Method in class org.jbpm.prediction.pmml.PMMLRandomForestRegistry

C

confidenceThreshold - Variable in class org.jbpm.prediction.pmml.AbstractPMMLBackend

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evaluate(Map<String, Object>) - Method in class org.jbpm.prediction.pmml.AbstractPMMLBackend

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get() - Static method in class org.jbpm.prediction.pmml.PMMLRandomForestRegistry

getConfidenceThreshold() - Method in class org.jbpm.prediction.pmml.PMMLRandomForestConfiguration

Returns the confidence threshold to use for automatic task completion

getIdentifier() - Method in class org.jbpm.prediction.pmml.PMMLRandomForest

getInputFeatures() - Method in class org.jbpm.prediction.pmml.PMMLRandomForestConfiguration

getModelFile() - Method in class org.jbpm.prediction.pmml.PMMLRandomForestConfiguration

getOutcomeName() - Method in class org.jbpm.prediction.pmml.PMMLRandomForestConfiguration

Returns the name of the output attribute

getService() - Method in class org.jbpm.prediction.pmml.PMMLRandomForestRegistry

I

IDENTIFIER - Static variable in class org.jbpm.prediction.pmml.PMMLRandomForest

inputFeatures - Variable in class org.jbpm.prediction.pmml.AbstractPMMLBackend

O

org.jbpm.prediction.pmml - package org.jbpm.prediction.pmml

outcomeFeatureName - Variable in class org.jbpm.prediction.pmml.AbstractPMMLBackend

outputFields - Variable in class org.jbpm.prediction.pmml.AbstractPMMLBackend

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PMMLRandomForest - Class in org.jbpm.prediction.pmml

PMMLRandomForest() - Constructor for class org.jbpm.prediction.pmml.PMMLRandomForest

PMMLRandomForest(List<String>, String, double, File) - Constructor for class org.jbpm.prediction.pmml.PMMLRandomForest

PMMLRandomForest(PMMLRandomForestConfiguration) - Constructor for class org.jbpm.prediction.pmml.PMMLRandomForest

PMMLRandomForestConfiguration - Class in org.jbpm.prediction.pmml

Encapsulates the model's output information.

PMMLRandomForestConfiguration() - Constructor for class org.jbpm.prediction.pmml.PMMLRandomForestConfiguration

PMMLRandomForestRegistry - Class in org.jbpm.prediction.pmml

predict(Task, Map<String, Object>) - Method in class org.jbpm.prediction.pmml.PMMLRandomForest

Returns a model prediction given the input data

preProcess(Map<String, Object>) - Method in class org.jbpm.prediction.pmml.AbstractPMMLBackend

Returns the processed data (e.g. perform categorisation, etc).

preProcess(Map<String, Object>) - Method in class org.jbpm.prediction.pmml.PMMLRandomForest

Returns the processed data (e.g. perform categorisation, etc).

S

setConfidenceThreshold(double) - Method in class org.jbpm.prediction.pmml.PMMLRandomForestConfiguration

setInputFeatures(List<String>) - Method in class org.jbpm.prediction.pmml.PMMLRandomForestConfiguration

setModelFile(File) - Method in class org.jbpm.prediction.pmml.PMMLRandomForestConfiguration

setOutcomeName(String) - Method in class org.jbpm.prediction.pmml.PMMLRandomForestConfiguration

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train(Task, Map<String, Object>, Map<String, Object>) - Method in class org.jbpm.prediction.pmml.AbstractPMMLBackend

Method to train a model.

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