Package org.kie.pmml.models.regression.model

Class KiePMMLClassificationTable.Builder

java.lang.Object

org.kie.pmml.commons.model.abstracts.AbstractKiePMMLComponent.Builder<T>

org.kie.pmml.models.regression.model.AbstractKiePMMLTable.Builder<KiePMMLClassificationTable>

org.kie.pmml.models.regression.model.KiePMMLClassificationTable.Builder

Enclosing class:

KiePMMLClassificationTable

public static class KiePMMLClassificationTable.Builder
extends AbstractKiePMMLTable.Builder<KiePMMLClassificationTable>

Field Summary

Fields inherited from class org.kie.pmml.commons.model.abstracts.AbstractKiePMMLComponent.Builder

toBuild

Constructor Summary

Constructors

Modifier	Constructor	Description
protected	Builder(String name, List<KiePMMLExtension> extensions)

Method Summary

Modifier and Type	Method	Description
KiePMMLClassificationTable.Builder	withCategoryTableMap(Map<String,KiePMMLRegressionTable> categoryTableMap)
KiePMMLClassificationTable.Builder	withIsBinary(Boolean isBinary)
KiePMMLClassificationTable.Builder	withOpType(OP_TYPE opType)
KiePMMLClassificationTable.Builder	withProbabilityMapFunction(SerializableFunction<LinkedHashMap<String,Double>,LinkedHashMap<String,Double>> probabilityMapFunction)
KiePMMLClassificationTable.Builder	withRegressionNormalizationMethod(REGRESSION_NORMALIZATION_METHOD regressionNormalizationMethod)

Methods inherited from class org.kie.pmml.models.regression.model.AbstractKiePMMLTable.Builder

withCategoricalFunctionMap, withIntercept, withNumericFunctionMap, withPredictorTermsFunctionMap, withResultUpdater, withTargetCategory, withTargetField

Methods inherited from class org.kie.pmml.commons.model.abstracts.AbstractKiePMMLComponent.Builder

build, withParentId

Methods inherited from class java.lang.Object

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

Constructor Details

Builder

protected Builder(String name,
 List<KiePMMLExtension> extensions)

Method Details

withRegressionNormalizationMethod

public KiePMMLClassificationTable.Builder withRegressionNormalizationMethod(REGRESSION_NORMALIZATION_METHOD regressionNormalizationMethod)

withOpType

public KiePMMLClassificationTable.Builder withOpType(OP_TYPE opType)

withCategoryTableMap

public KiePMMLClassificationTable.Builder withCategoryTableMap(Map<String,KiePMMLRegressionTable> categoryTableMap)

Parameters:

categoryTableMap - Keep in mind that insertion order matters, so provide an ordered map

Returns:

withProbabilityMapFunction

public KiePMMLClassificationTable.Builder withProbabilityMapFunction(SerializableFunction<LinkedHashMap<String,Double>,LinkedHashMap<String,Double>> probabilityMapFunction)

Parameters:

probabilityMapFunction - Keep in mind that insertion order matters, so provide an ordered map inside the SerializableFunction

Returns:

withIsBinary

public KiePMMLClassificationTable.Builder withIsBinary(Boolean isBinary)