import org.jpmml.converter.ModelEncoder; //导入依赖的package包/类
@Test
public void encodeRegressionTable(){
	ModelEncoder encoder = new ModelEncoder();

	GeneralRegressionModel generalRegressionModel = new GeneralRegressionModel();

	generalRegressionModel = GeneralRegressionModelUtil.encodeRegressionTable(generalRegressionModel, Collections.<Feature>emptyList(), null, Collections.<Double>emptyList(), null);

	assertState(generalRegressionModel, false, false, false);

	Feature feature = SchemaUtil.createConstantFeature(encoder, 3d);

	generalRegressionModel = GeneralRegressionModelUtil.encodeRegressionTable(generalRegressionModel, Collections.singletonList(feature), 1d, Collections.singletonList(2d), null);

	assertState(generalRegressionModel, true, true, false);

	assertParameter(generalRegressionModel, "p0", 1d, Collections.<FieldName>emptyList());
	assertParameter(generalRegressionModel, "p1", (2d * 3d), Collections.<FieldName>emptyList());

	generalRegressionModel = new GeneralRegressionModel();

	feature = SchemaUtil.createInteractionFeature(encoder, FieldName.create("x1"), 5d, FieldName.create("x2"));

	generalRegressionModel = GeneralRegressionModelUtil.encodeRegressionTable(generalRegressionModel, Collections.singletonList(feature), 1d, Collections.singletonList(2d), null);

	assertState(generalRegressionModel, true, true, true);

	assertParameter(generalRegressionModel, "p0", 1d, Collections.<FieldName>emptyList());
	assertParameter(generalRegressionModel, "p1", (2d * 5d), Arrays.asList(FieldName.create("x1"), FieldName.create("x2")));
}
 

import org.jpmml.converter.ModelEncoder; //导入依赖的package包/类
@Test
public void createRegressionTable(){
	ModelEncoder encoder = new ModelEncoder();

	RegressionTable regressionTable = RegressionModelUtil.createRegressionTable(Collections.<Feature>emptyList(), Collections.<Double>emptyList(), null);

	assertState(regressionTable, 0d, false, false, false);

	Feature feature = SchemaUtil.createConstantFeature(encoder, 3d);

	regressionTable = RegressionModelUtil.createRegressionTable(Collections.singletonList(feature), Collections.singletonList(2d), 1d);

	assertState(regressionTable, 1d + (2d * 3d), false, false, false);

	feature = SchemaUtil.createInteractionFeature(encoder, 3d, FieldName.create("x"), 7d);

	regressionTable = RegressionModelUtil.createRegressionTable(Collections.singletonList(feature), Collections.singletonList(2d), 1d);

	assertState(regressionTable, 1d, true, false, false);

	NumericPredictor numericPredictor = Iterables.getOnlyElement(regressionTable.getNumericPredictors());

	assertEquals(FieldName.create("x"), numericPredictor.getName());
	assertEquals((Double)(2d * 3d * 7d), (Double)numericPredictor.getCoefficient());

	feature = SchemaUtil.createInteractionFeature(encoder, FieldName.create("x1"), 5d, FieldName.create("x2"));

	regressionTable = RegressionModelUtil.createRegressionTable(Collections.singletonList(feature), Collections.singletonList(2d), 1d);

	assertState(regressionTable, 1d, false, false, true);

	PredictorTerm predictorTerm = Iterables.getOnlyElement(regressionTable.getPredictorTerms());

	assertEquals((Double)(2d * 5d), (Double)predictorTerm.getCoefficient());

	List<FieldRef> fieldRefs = predictorTerm.getFieldRefs();

	assertEquals(FieldName.create("x1"), (fieldRefs.get(0)).getField());
	assertEquals(FieldName.create("x2"), (fieldRefs.get(1)).getField());
}