public class NaiveBayesModelEvaluator extends ModelEvaluator<org.dmg.pmml.naive_bayes.NaiveBayesModel>
DEFAULT_TARGET_NAME| Constructor and Description |
|---|
NaiveBayesModelEvaluator(org.dmg.pmml.PMML pmml) |
NaiveBayesModelEvaluator(org.dmg.pmml.PMML pmml,
org.dmg.pmml.naive_bayes.NaiveBayesModel naiveBayesModel) |
| Modifier and Type | Method and Description |
|---|---|
protected <V extends Number> |
evaluateClassification(ValueFactory<V> valueFactory,
EvaluationContext context) |
protected List<org.dmg.pmml.naive_bayes.BayesInput> |
getBayesInputs() |
protected Map<org.dmg.pmml.FieldName,Map<Object,Number>> |
getFieldCountSums() |
String |
getSummary()
Gets a short description of the
Model. |
assessParentCompatibility, assessPurity, configure, createClassification, createEvaluationContext, createInputFields, createInputFields, createOutputFields, createTargetFields, ensureConfiguration, ensureModelEvaluatorFactory, ensureOutputFilter, ensureValueFactory, ensureValueFactoryFactory, evaluate, evaluateAssociationRules, evaluateClustering, evaluateInternal, evaluateMixed, evaluateRegression, evaluateSequences, evaluateTimeSeries, getConfiguration, getInputMapper, getNumberOfVisibleFields, getResultMapper, isParentCompatible, isPure, processArguments, processResults, verifyaddResultFeatures, createMiningSchemaException, getActiveFields, getDataField, getDefaultDataField, getDefineFunction, getDerivedField, getInputFields, getLocalDerivedField, getMathContext, getMiningField, getMiningFunction, getModel, getOutputField, getOutputFields, getPMML, getResultFeatures, getTarget, getTargetField, getTargetFields, getTargetName, getValue, getValue, getVisibleFields, hasLocalDerivedFields, hasOutputFields, hasResultFeature, resetInputFields, resetResultFields, resolveField, setDefaultDataFieldclone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, waitgetMiningFunctiongetInputFieldsgetActiveFieldsgetOutputFields, getTargetFieldspublic NaiveBayesModelEvaluator(org.dmg.pmml.PMML pmml)
public NaiveBayesModelEvaluator(org.dmg.pmml.PMML pmml,
org.dmg.pmml.naive_bayes.NaiveBayesModel naiveBayesModel)
public String getSummary()
Evaluator
Gets a short description of the Model.
protected <V extends Number> Map<org.dmg.pmml.FieldName,? extends Classification<?,V>> evaluateClassification(ValueFactory<V> valueFactory, EvaluationContext context)
evaluateClassification in class ModelEvaluator<org.dmg.pmml.naive_bayes.NaiveBayesModel>protected List<org.dmg.pmml.naive_bayes.BayesInput> getBayesInputs()
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