public class RandomForestEvaluator extends RandomForestManager implements Evaluator
| Constructor and Description |
|---|
RandomForestEvaluator(PMML pmml) |
RandomForestEvaluator(PMML pmml,
MiningModel miningModel) |
RandomForestEvaluator(RandomForestManager parent) |
| Modifier and Type | Method and Description |
|---|---|
Map<FieldName,?> |
evaluate(Map<FieldName,?> parameters) |
Map<FieldName,Double> |
evaluateRegression(EvaluationContext context) |
Object |
prepare(FieldName name,
Object value)
Prepares the input value for a field.
|
addSegment, addSegment, getSummary, isRandomForestcreateSegmentation, getSegmentation, getSegmentscreateModel, getModeladdField, addMiningField, ensureNotNull, ensureNull, getActiveFields, getMiningField, getMiningFields, getMiningSchema, getOrCreateLocalTransformations, getOrCreateOutput, getOutputField, getOutputFields, getPredictedFields, getTarget, resolveaddDataField, find, find, findAll, getDataDictionary, getDataField, getHeader, getModel, getModelManager, getModelManager, getModels, getOrCreateTransformationDictionary, getPmmlclone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, waitgetActiveFields, getDataField, getMiningField, getOutputField, getOutputFields, getPredictedFields, getSummarypublic RandomForestEvaluator(PMML pmml)
public RandomForestEvaluator(PMML pmml, MiningModel miningModel)
public RandomForestEvaluator(RandomForestManager parent)
public Object prepare(FieldName name, Object value)
Evaluatorprepare in interface Evaluatorname - The name of the fieldConsumer.getDataField(FieldName),
Consumer.getMiningField(FieldName)public Map<FieldName,?> evaluate(Map<FieldName,?> parameters)
evaluate in interface Evaluatorparameters - Map of active field values.predicted field and output field values.
Simple values are represented using the Java equivalents of PMML data types (eg. String, Integer, Float, Double etc.).
Complex values are represented as instances of Computable that return simple values.evaluateRegression(EvaluationContext)public Map<FieldName,Double> evaluateRegression(EvaluationContext context)
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