public class RegressionModelEvaluator extends RegressionModelManager implements Evaluator
| Constructor and Description |
|---|
RegressionModelEvaluator(PMML pmml) |
RegressionModelEvaluator(PMML pmml,
RegressionModel regressionModel) |
RegressionModelEvaluator(RegressionModelManager parent) |
| Modifier and Type | Method and Description |
|---|---|
Map<FieldName,?> |
evaluate(Map<FieldName,?> parameters) |
Map<FieldName,org.jpmml.evaluator.ClassificationMap> |
evaluateClassification(EvaluationContext context) |
Map<FieldName,Double> |
evaluateRegression(EvaluationContext context) |
Object |
prepare(FieldName name,
Object value)
Prepares the input value for a field.
|
addCategoricalPredictor, addNumericPredictor, createModel, createRegressionModel, getCategoricalPredictor, getModel, getNumericPredictor, getRegressionTables, getSummary, getTarget, setTargetaddField, addMiningField, ensureNotNull, ensureNull, getActiveFields, getMiningField, getMiningFields, getMiningSchema, getOrCreateLocalTransformations, getOrCreateOutput, getOutputField, getOutputFields, getPredictedFields, 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 RegressionModelEvaluator(PMML pmml)
public RegressionModelEvaluator(PMML pmml, RegressionModel regressionModel)
public RegressionModelEvaluator(RegressionModelManager 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),
evaluateClassification(EvaluationContext)public Map<FieldName,Double> evaluateRegression(EvaluationContext context)
public Map<FieldName,org.jpmml.evaluator.ClassificationMap> evaluateClassification(EvaluationContext context)
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