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SupportVectorMachineModel.getSupportVectorMachines
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How to use
getSupportVectorMachines
method
in
org.dmg.pmml.support_vector_machine.SupportVectorMachineModel

Best Java code snippets using org.dmg.pmml.support_vector_machine.SupportVectorMachineModel.getSupportVectorMachines (Showing top 8 results out of 315)

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private void myMethod () {
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}
origin: jpmml/jpmml-model

public SupportVectorMachineModel addSupportVectorMachines(SupportVectorMachine... supportVectorMachines) {
  getSupportVectorMachines().addAll(Arrays.asList(supportVectorMachines));
  return this;
}
origin: org.jpmml/pmml-model

public SupportVectorMachineModel addSupportVectorMachines(SupportVectorMachine... supportVectorMachines) {
  getSupportVectorMachines().addAll(Arrays.asList(supportVectorMachines));
  return this;
}
origin: jpmml/jpmml-evaluator

@Override
protected <V extends Number> Map<FieldName, ?> evaluateRegression(ValueFactory<V> valueFactory, EvaluationContext context){
  SupportVectorMachineModel supportVectorMachineModel = getModel();
  List<SupportVectorMachine> supportVectorMachines = supportVectorMachineModel.getSupportVectorMachines();
  if(supportVectorMachines.size() != 1){
    throw new InvalidElementListException(supportVectorMachines);
  }
  SupportVectorMachine supportVectorMachine = supportVectorMachines.get(0);
  Object input = createInput(context);
  Value<V> result = evaluateSupportVectorMachine(valueFactory, supportVectorMachine, input);
  return TargetUtil.evaluateRegression(getTargetField(), result);
}
origin: jpmml/jpmml-evaluator

List<SupportVectorMachine> supportVectorMachines = supportVectorMachineModel.getSupportVectorMachines();
origin: org.jpmml/pmml-model

@Override
public VisitorAction accept(Visitor visitor) {
  VisitorAction status = visitor.visit(this);
  if (status == VisitorAction.CONTINUE) {
    visitor.pushParent(this);
    if ((status == VisitorAction.CONTINUE)&&hasExtensions()) {
      status = PMMLObject.traverse(visitor, getExtensions());
    }
    if (status == VisitorAction.CONTINUE) {
      status = PMMLObject.traverse(visitor, getMiningSchema(), getOutput(), getModelStats(), getModelExplanation(), getTargets(), getLocalTransformations(), getKernel(), getVectorDictionary());
    }
    if ((status == VisitorAction.CONTINUE)&&hasSupportVectorMachines()) {
      status = PMMLObject.traverse(visitor, getSupportVectorMachines());
    }
    if (status == VisitorAction.CONTINUE) {
      status = PMMLObject.traverse(visitor, getModelVerification());
    }
    visitor.popParent();
  }
  if (status == VisitorAction.TERMINATE) {
    return VisitorAction.TERMINATE;
  }
  return VisitorAction.CONTINUE;
}
origin: jpmml/jpmml-model

@Override
public VisitorAction accept(Visitor visitor) {
  VisitorAction status = visitor.visit(this);
  if (status == VisitorAction.CONTINUE) {
    visitor.pushParent(this);
    if ((status == VisitorAction.CONTINUE)&&hasExtensions()) {
      status = PMMLObject.traverse(visitor, getExtensions());
    }
    if (status == VisitorAction.CONTINUE) {
      status = PMMLObject.traverse(visitor, getMiningSchema(), getOutput(), getModelStats(), getModelExplanation(), getTargets(), getLocalTransformations(), getKernel(), getVectorDictionary());
    }
    if ((status == VisitorAction.CONTINUE)&&hasSupportVectorMachines()) {
      status = PMMLObject.traverse(visitor, getSupportVectorMachines());
    }
    if (status == VisitorAction.CONTINUE) {
      status = PMMLObject.traverse(visitor, getModelVerification());
    }
    visitor.popParent();
  }
  if (status == VisitorAction.TERMINATE) {
    return VisitorAction.TERMINATE;
  }
  return VisitorAction.CONTINUE;
}
origin: jpmml/jpmml-sklearn

@Override
public SupportVectorMachineModel encodeModel(Schema schema){
  int[] shape = getSupportVectorsShape();
  int numberOfVectors = shape[0];
  int numberOfFeatures = shape[1];
  List<Integer> support = getSupport();
  List<? extends Number> supportVectors = getSupportVectors();
  List<Integer> supportSizes = getSupportSizes();
  List<? extends Number> dualCoef = getDualCoef();
  List<? extends Number> intercept = getIntercept();
  SupportVectorMachineModel supportVectorMachineModel = LibSVMUtil.createClassification(new CMatrix<>(ValueUtil.asDoubles(supportVectors), numberOfVectors, numberOfFeatures), supportSizes, SupportVectorMachineUtil.formatIds(support), ValueUtil.asDoubles(intercept), ValueUtil.asDoubles(dualCoef), schema)
    .setKernel(SupportVectorMachineUtil.createKernel(getKernel(), getDegree(), getGamma(), getCoef0()));
  List<SupportVectorMachine> supportVectorMachines = supportVectorMachineModel.getSupportVectorMachines();
  for(SupportVectorMachine supportVectorMachine : supportVectorMachines){
    String category = supportVectorMachine.getTargetCategory();
    // LibSVM: (decisionFunction > 0 ? first : second)
    // PMML: (decisionFunction < 0 ? first : second)
    supportVectorMachine.setTargetCategory(supportVectorMachine.getAlternateTargetCategory());
    supportVectorMachine.setAlternateTargetCategory(category);
  }
  return supportVectorMachineModel;
}
origin: jpmml/jpmml-evaluator

SupportVectorMachineModel supportVectorMachineModel = getModel();
List<SupportVectorMachine> supportVectorMachines = supportVectorMachineModel.getSupportVectorMachines();
org.dmg.pmml.support_vector_machineSupportVectorMachineModelgetSupportVectorMachines

Popular methods of SupportVectorMachineModel

  • getKernel
  • getVectorDictionary
  • hasSupportVectorMachines
  • setKernel
  • setOutput
  • <init>
  • getAlternateBinaryTargetCategory
  • getExtensions
  • getLocalTransformations
  • getMathContext
  • getMiningSchema
  • getModelExplanation
  • getMiningSchema,
  • getModelExplanation,
  • getModelStats,
  • getModelVerification,
  • getOutput,
  • getRepresentation,
  • getTargets,
  • getThreshold,
  • hasExtensions

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