本文整理了Java中org.dmg.pmml.Output.addOutputFields()方法的一些代码示例，展示了Output.addOutputFields()的具体用法。这些代码示例主要来源于Github/Stackoverflow/Maven等平台，是从一些精选项目中提取出来的代码，具有较强的参考意义，能在一定程度帮忙到你。Output.addOutputFields()方法的具体详情如下：
包路径：org.dmg.pmml.Output
类名称：Output
方法名：addOutputFields

Output.addOutputFields介绍

暂无

代码示例

代码示例来源：origin: jpmml/jpmml-sklearn

.setDataType(DataType.INTEGER);
output.addOutputFields(nodeIdField);

代码示例来源：origin: jpmml/jpmml-sklearn

.addOutputFields(ModelUtil.createProbabilityField(FieldName.create("decisionFunction(" + categoricalLabel.getValue(i) + ")"), DataType.DOUBLE, categoricalLabel.getValue(i)));

代码示例来源：origin: jpmml/jpmml-sklearn

@Override
protected ContinuousOutputFeature toContinuousFeature(FieldName name, DataType dataType, Supplier<? extends Expression> expressionSupplier){
  PMMLEncoder encoder = ensureEncoder();
  Output output = getOutput();
  OutputField outputField = OutputUtil.getOutputField(output, name);
  if(outputField == null){
    Expression expression = expressionSupplier.get();
    outputField = new OutputField(name, dataType)
      .setOpType(OpType.CONTINUOUS)
      .setResultFeature(ResultFeature.TRANSFORMED_VALUE)
      .setFinalResult(false)
      .setExpression(expression);
    output.addOutputFields(outputField);
  }
  return new ContinuousOutputFeature(encoder, output, outputField);
}

代码示例来源：origin: jpmml/jpmml-model

.setSegmentId(id);
output.addOutputFields(outputField);

代码示例来源：origin: jpmml/jpmml-r

@Override
public TreeModel encodeModel(Schema schema){
  S4Object binaryTree = getObject();
  RGenericVector tree = (RGenericVector)binaryTree.getAttributeValue("tree");
  Output output;
  switch(this.miningFunction){
    case REGRESSION:
      output = new Output();
      break;
    case CLASSIFICATION:
      CategoricalLabel categoricalLabel = (CategoricalLabel)schema.getLabel();
      output = ModelUtil.createProbabilityOutput(DataType.DOUBLE, categoricalLabel);
      break;
    default:
      throw new IllegalArgumentException();
  }
  output.addOutputFields(ModelUtil.createEntityIdField(FieldName.create("nodeId")));
  TreeModel treeModel = encodeTreeModel(tree, schema)
    .setOutput(output);
  return treeModel;
}

代码示例来源：origin: jpmml/jpmml-sklearn

.setExpression(derivedField.getExpression());
output.addOutputFields(outputField);

代码示例来源：origin: jpmml/jpmml-sparkml

.setExpression(derivedField.getExpression());
output.addOutputFields(outputField);

代码示例来源：origin: org.jpmml/jpmml-h2o

segmentOutput.addOutputFields(outputField);

代码示例来源：origin: jpmml/jpmml-sklearn

.setFinalResult(false);
output.addOutputFields(outputField);

代码示例来源：origin: jpmml/jpmml-sklearn

.setRank(rank);
output.addOutputFields(outputField);

代码示例来源：origin: jpmml/jpmml-sklearn

output.addOutputFields(predictField);

代码示例来源：origin: jpmml/jpmml-r

.addOutputFields(outputField);

代码示例来源：origin: jpmml/jpmml-model

@Test
public void inspectFieldAnnotations(){
  PMML pmml = createPMML();
  AssociationModel model = new AssociationModel();
  pmml.addModels(model);
  assertVersionRange(pmml, Version.PMML_3_0, Version.PMML_4_3);
  Output output = new Output();
  model.setOutput(output);
  assertVersionRange(pmml, Version.PMML_4_0, Version.PMML_4_3);
  model.setScorable(Boolean.FALSE);
  assertVersionRange(pmml, Version.PMML_4_1, Version.PMML_4_3);
  model.setScorable(null);
  assertVersionRange(pmml, Version.PMML_4_0, Version.PMML_4_3);
  OutputField outputField = new OutputField()
    .setRuleFeature(OutputField.RuleFeature.AFFINITY);
  output.addOutputFields(outputField);
  assertVersionRange(pmml, Version.PMML_4_1, Version.PMML_4_2);
  outputField.setDataType(DataType.DOUBLE);
  assertVersionRange(pmml, Version.PMML_4_1, Version.PMML_4_3);
  model.setOutput(null);
  assertVersionRange(pmml, Version.PMML_3_0, Version.PMML_4_3);
}