本文整理汇总了Java中com.rapidminer.tools.math.LiftDataGenerator类的典型用法代码示例。如果您正苦于以下问题：Java LiftDataGenerator类的具体用法？Java LiftDataGenerator怎么用？Java LiftDataGenerator使用的例子？那么, 这里精选的类代码示例或许可以为您提供帮助。
LiftDataGenerator类属于com.rapidminer.tools.math包，在下文中一共展示了LiftDataGenerator类的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: doWork
import com.rapidminer.tools.math.LiftDataGenerator; //导入依赖的package包/类
@Override
public void doWork() throws OperatorException {
ExampleSet exampleSet = exampleSetInput.getData(ExampleSet.class);
Model model = modelInput.getData(Model.class);
if (exampleSet.getAttributes().getLabel() == null) {
throw new UserError(this, 105);
}
if (!exampleSet.getAttributes().getLabel().isNominal()) {
throw new UserError(this, 101, "Lift Charts", exampleSet.getAttributes().getLabel());
}
if (exampleSet.getAttributes().getLabel().getMapping().getValues().size() != 2) {
throw new UserError(this, 114, "Lift Charts", exampleSet.getAttributes().getLabel());
}
ExampleSet workingSet = (ExampleSet) exampleSet.clone();
if (workingSet.getAttributes().getPredictedLabel() != null) {
PredictionModel.removePredictedLabel(workingSet);
}
workingSet = model.apply(workingSet);
if (workingSet.getAttributes().getPredictedLabel() == null) {
throw new UserError(this, 107);
}
LiftDataGenerator liftDataGenerator = new LiftDataGenerator();
List<double[]> liftPoints = liftDataGenerator.createLiftDataList(workingSet);
liftDataGenerator.createLiftChartPlot(liftPoints);
PredictionModel.removePredictedLabel(workingSet);
exampleSetOutput.deliver(exampleSet);
modelOutput.deliver(model);
}
示例2: doWork
import com.rapidminer.tools.math.LiftDataGenerator; //导入依赖的package包/类
@Override
public void doWork() throws OperatorException {
ExampleSet exampleSet = exampleSetInput.getData(ExampleSet.class);
Model model = modelInput.getData(Model.class);
Tools.hasNominalLabels(exampleSet, getOperatorClassName());
Attribute label = exampleSet.getAttributes().getLabel();
if (label.getMapping().size() != 2) {
throw new UserError(this, 114, getOperatorClassName(), label);
}
ExampleSet workingSet = (ExampleSet) exampleSet.clone();
if (workingSet.getAttributes().getPredictedLabel() != null) {
PredictionModel.removePredictedLabel(workingSet);
}
workingSet = model.apply(workingSet);
if (workingSet.getAttributes().getPredictedLabel() == null) {
throw new UserError(this, 107);
}
LiftDataGenerator liftDataGenerator = new LiftDataGenerator();
List<double[]> liftPoints = liftDataGenerator.createLiftDataList(workingSet);
liftDataGenerator.createLiftChartPlot(liftPoints);
PredictionModel.removePredictedLabel(workingSet);
exampleSetOutput.deliver(exampleSet);
modelOutput.deliver(model);
}