/**
* Copyright (C) 2001-2017 by RapidMiner and the contributors
*
* Complete list of developers available at our web site:
*
* http://rapidminer.com
*
* This program is free software: you can redistribute it and/or modify it under the terms of the
* GNU Affero General Public License as published by the Free Software Foundation, either version 3
* of the License, or (at your option) any later version.
*
* This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without
* even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
* Affero General Public License for more details.
*
* You should have received a copy of the GNU Affero General Public License along with this program.
* If not, see http://www.gnu.org/licenses/.
*/
package com.rapidminer.operator.ports.metadata;
import com.rapidminer.operator.learner.PredictionModel;
import com.rapidminer.operator.ports.InputPort;
import com.rapidminer.operator.ports.OutputPort;
/**
* @author Simon Fischer
*/
public class GeneratePredictionModelTransformationRule implements MDTransformationRule {
private final OutputPort outputPort;
private final InputPort exampleSetInput;
private final Class<? extends PredictionModel> modelClass;
public GeneratePredictionModelTransformationRule(InputPort exampleSetInput, OutputPort outputPort,
Class<? extends PredictionModel> modelClass) {
this.outputPort = outputPort;
this.exampleSetInput = exampleSetInput;
this.modelClass = modelClass;
}
@Override
public void transformMD() {
MetaData input = exampleSetInput.getMetaData();
PredictionModelMetaData mmd;
if (input != null && input instanceof ExampleSetMetaData) {
mmd = new PredictionModelMetaData(modelClass, (ExampleSetMetaData) input);
mmd.addToHistory(outputPort);
outputPort.deliverMD(mmd);
return;
}
outputPort.deliverMD(null);
return;
}
/**
* @return the {@link OutputPort} the MD rule is for
*/
public OutputPort getOutputPort() {
return outputPort;
}
}