Java GeneratePredictionModelTransformationRule類代碼示例

本文整理匯總了Java中com.rapidminer.operator.ports.metadata.GeneratePredictionModelTransformationRule類的典型用法代碼示例。如果您正苦於以下問題：Java GeneratePredictionModelTransformationRule類的具體用法？Java GeneratePredictionModelTransformationRule怎麽用？Java GeneratePredictionModelTransformationRule使用的例子？那麽, 這裏精選的類代碼示例或許可以為您提供幫助。

GeneratePredictionModelTransformationRule類屬於com.rapidminer.operator.ports.metadata包，在下文中一共展示了GeneratePredictionModelTransformationRule類的5個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Java代碼示例。

示例1: AbstractStacking

import com.rapidminer.operator.ports.metadata.GeneratePredictionModelTransformationRule; //導入依賴的package包/類
public AbstractStacking(OperatorDescription description, String... subprocessNames) {
	super(description, subprocessNames);
	baseInputExtender.start();
	baseModelExtender.start();
	getTransformer().addRule(baseInputExtender.makePassThroughRule(exampleSetInput));
	getTransformer().addRule(new SubprocessTransformRule(getSubprocess(0)));
	getTransformer().addRule(
			new GeneratePredictionModelTransformationRule(exampleSetInput, modelOutput, PredictionModel.class));
}

開發者ID:transwarpio，項目名稱:rapidminer，代碼行數:10，代碼來源:AbstractStacking.java

示例2: SDRulesetInduction

import com.rapidminer.operator.ports.metadata.GeneratePredictionModelTransformationRule; //導入依賴的package包/類
/** Constructor. */
public SDRulesetInduction(OperatorDescription description) {
	super(description, "Training");
	getTransformer().addRule(new ExampleSetPassThroughRule(exampleSetInput, trainingInnerSource, SetRelation.EQUAL) {

		@Override
		public ExampleSetMetaData modifyExampleSet(ExampleSetMetaData metaData) {
			AttributeMetaData weightAttribute = new AttributeMetaData("weight", Ontology.REAL, Attributes.WEIGHT_NAME);
			weightAttribute.setValueSetRelation(SetRelation.UNKNOWN);
			metaData.addAttribute(weightAttribute);

			AttributeMetaData specialAttribute = new AttributeMetaData(TIMES_COVERED, Ontology.REAL, TIMES_COVERED);
			specialAttribute.setValueSetRelation(SetRelation.UNKNOWN);
			metaData.addAttribute(specialAttribute);
			return metaData;
		}
	});
	getTransformer().addRule(new SubprocessTransformRule(getSubprocess(0)));
	getTransformer().addRule(
			new GeneratePredictionModelTransformationRule(exampleSetInput, modelOutput, PredictionModel.class));

	addValue(new ValueDouble("performance", "The performance.") {

		@Override
		public double getDoubleValue() {
			return performance;
		}
	});
	addValue(new ValueDouble("iteration", "The current iteration.") {

		@Override
		public double getDoubleValue() {
			return currentIteration;
		}
	});
}

開發者ID:transwarpio，項目名稱:rapidminer，代碼行數:37，代碼來源:SDRulesetInduction.java

示例3: SDRulesetInduction

import com.rapidminer.operator.ports.metadata.GeneratePredictionModelTransformationRule; //導入依賴的package包/類
/** Constructor. */
public SDRulesetInduction(OperatorDescription description) {
	super(description, "Training");
	getTransformer().addRule(new ExampleSetPassThroughRule(exampleSetInput, trainingInnerSource, SetRelation.EQUAL) {

		@Override
		public ExampleSetMetaData modifyExampleSet(ExampleSetMetaData metaData) {
			AttributeMetaData weightAttribute = new AttributeMetaData("weight", Ontology.REAL, Attributes.WEIGHT_NAME);
			weightAttribute.setValueSetRelation(SetRelation.UNKNOWN);
			metaData.addAttribute(weightAttribute);

			AttributeMetaData specialAttribute = new AttributeMetaData(TIMES_COVERED, Ontology.REAL, TIMES_COVERED);
			specialAttribute.setValueSetRelation(SetRelation.UNKNOWN);
			metaData.addAttribute(specialAttribute);
			return metaData;
		}
	});
	getTransformer().addRule(new SubprocessTransformRule(getSubprocess(0)));
	getTransformer()
			.addRule(new GeneratePredictionModelTransformationRule(exampleSetInput, modelOutput, PredictionModel.class));

	addValue(new ValueDouble("performance", "The performance.") {

		@Override
		public double getDoubleValue() {
			return performance;
		}
	});
	addValue(new ValueDouble("iteration", "The current iteration.") {

		@Override
		public double getDoubleValue() {
			return currentIteration;
		}
	});
}

開發者ID:rapidminer，項目名稱:rapidminer-studio，代碼行數:37，代碼來源:SDRulesetInduction.java

示例4: AbstractStacking

import com.rapidminer.operator.ports.metadata.GeneratePredictionModelTransformationRule; //導入依賴的package包/類
public AbstractStacking(OperatorDescription description, String ... subprocessNames) {
	super(description, subprocessNames);
	baseInputExtender.start();
	baseModelExtender.start();
	getTransformer().addRule(baseInputExtender.makePassThroughRule(exampleSetInput));
	getTransformer().addRule(new SubprocessTransformRule(getSubprocess(0)));
	getTransformer().addRule(new GeneratePredictionModelTransformationRule(exampleSetInput, modelOutput, PredictionModel.class));
}

開發者ID:rapidminer，項目名稱:rapidminer-5，代碼行數:9，代碼來源:AbstractStacking.java

示例5: SDRulesetInduction

import com.rapidminer.operator.ports.metadata.GeneratePredictionModelTransformationRule; //導入依賴的package包/類
/** Constructor. */
public SDRulesetInduction(OperatorDescription description) {
	super(description, "Training");
	getTransformer().addRule(new ExampleSetPassThroughRule(exampleSetInput, trainingInnerSource, SetRelation.EQUAL) {
		@Override
		public ExampleSetMetaData modifyExampleSet(ExampleSetMetaData metaData) {
			AttributeMetaData weightAttribute = new AttributeMetaData("weight", Ontology.REAL, Attributes.WEIGHT_NAME);
			weightAttribute.setValueSetRelation(SetRelation.UNKNOWN);
			metaData.addAttribute(weightAttribute);

			AttributeMetaData specialAttribute = new AttributeMetaData(TIMES_COVERED, Ontology.REAL, TIMES_COVERED);
			specialAttribute.setValueSetRelation(SetRelation.UNKNOWN);
			metaData.addAttribute(specialAttribute);
			return metaData;
		}
	});
	getTransformer().addRule(new SubprocessTransformRule(getSubprocess(0)));
	getTransformer().addRule(new GeneratePredictionModelTransformationRule(exampleSetInput, modelOutput, PredictionModel.class));


	addValue(new ValueDouble("performance", "The performance.") {
		@Override
		public double getDoubleValue() {
			return performance;
		}
	});
	addValue(new ValueDouble("iteration", "The current iteration.") {
		@Override
		public double getDoubleValue() {
			return currentIteration;
		}
	});
}

開發者ID:rapidminer，項目名稱:rapidminer-5，代碼行數:34，代碼來源:SDRulesetInduction.java

注：本文中的com.rapidminer.operator.ports.metadata.GeneratePredictionModelTransformationRule類示例由純淨天空整理自Github/MSDocs等開源代碼及文檔管理平台，相關代碼片段篩選自各路編程大神貢獻的開源項目，源碼版權歸原作者所有，傳播和使用請參考對應項目的License；未經允許，請勿轉載。