📄 asevaluation.java
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/**
*
* AgentAcademy - an open source Data Mining framework for
* training intelligent agents
*
* Copyright (C) 2001-2003 AA Consortium.
*
* This library is open source software; you can redistribute it
* and/or modify it under the terms of the GNU Lesser General
* Public License as published by the Free Software Foundation;
* either version 2.0 of the License, or (at your option) any later
* version.
*
* This library 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 General Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with this library; if not, write to the Free
* Software Foundation, Inc., 59 Temple Place, Suite 330, Boston,
* MA 02111-1307 USA
*
*/
package org.agentacademy.modules.dataminer.attributeSelection;
import java.io.Serializable;
import org.agentacademy.modules.dataminer.core.Instances;
import org.agentacademy.modules.dataminer.core.SerializedObject;
import org.agentacademy.modules.dataminer.core.Utils;
public abstract class ASEvaluation implements Serializable {
// ===============
// Public methods.
// ===============
/**
* Generates a attribute evaluator. Has to initialize all fields of the
* evaluator that are not being set via options.
*
* @param data set of instances serving as training data
* @exception Exception if the evaluator has not been
* generated successfully
*/
public abstract void buildEvaluator(Instances data) throws Exception;
/**
* Provides a chance for a attribute evaluator to do any special
* post processing of the selected attribute set.
*
* @param attributeSet the set of attributes found by the search
* @return a possibly ranked list of postprocessed attributes
* @exception Exception if postprocessing fails for some reason
*/
public int [] postProcess(int [] attributeSet)
throws Exception
{
return attributeSet;
}
/**
* Creates a new instance of an attribute/subset evaluator
* given it's class name and
* (optional) arguments to pass to it's setOptions method. If the
* evaluator implements OptionHandler and the options parameter is
* non-null, the evaluator will have it's options set.
*
* @param evaluatorName the fully qualified class name of the evaluator
* @param options an array of options suitable for passing to setOptions. May
* be null.
* @return the newly created evaluator, ready for use.
* @exception Exception if the evaluator name is invalid, or the options
* supplied are not acceptable to the evaluator
*/
public static ASEvaluation forName(String evaluatorName,
String [] options) throws Exception
{
return (ASEvaluation)Utils.forName(ASEvaluation.class,
evaluatorName,
options);
}
/**
* Creates copies of the current evaluator. Note that this method
* now uses Serialization to perform a deep copy, so the evaluator
* object must be fully Serializable. Any currently built model will
* now be copied as well.
*
* @param model an example evaluator to copy
* @param num the number of evaluator copies to create.
* @return an array of evaluators.
* @exception Exception if an error occurs
*/
public static ASEvaluation [] makeCopies(ASEvaluation model,
int num) throws Exception {
if (model == null) {
throw new Exception("No model evaluator set");
}
ASEvaluation [] evaluators = new ASEvaluation [num];
SerializedObject so = new SerializedObject(model);
for(int i = 0; i < evaluators.length; i++) {
evaluators[i] = (ASEvaluation) so.getObject();
}
return evaluators;
}
}
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