// Distributed Decision making system framework
// Copyright (c) 2014, Jordi Coll Corbilla
// All rights reserved.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are met:
//
// - Redistributions of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
// - Redistributions in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
// - Neither the name of this library nor the names of its contributors may be
// used to endorse or promote products derived from this software without
// specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
// ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE
// LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
// CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
// SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
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// POSSIBILITY OF SUCH DAMAGE.
package ddm.ontology;
import jade.content.AgentAction;
/**
* file: ClassifierSettings.java
*
* @author ontology bean generator
* @version 2014/04/15, 22:56:31
*/
@SuppressWarnings("serial")
public class ClassifierSettings implements AgentAction {
private String ClassifierModule;
private String Name;
private int PercentageTrainingData;
public String getClassifierModule() {
return ClassifierModule;
}
public void setClassifierModule(String classifierModule) {
ClassifierModule = classifierModule;
}
public String getName() {
return Name;
}
public void setName(String name) {
Name = name;
}
public int getPercentageTrainingData() {
return PercentageTrainingData;
}
public void setPercentageTrainingData(int percentageTrainingData) {
PercentageTrainingData = percentageTrainingData;
}
public String toString() {
return "Agent: " + getName() + " Classifier: " + getClassifierModule()
+ " Percentage: " + getPercentageTrainingData();
}
}