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Massive On-line Analysis is an environment for massive data mining. MOA provides a framework for data stream mining and includes tools for evaluation and a collection of machine learning algorithms. Related to the WEKA project, also written in Java, while scaling to more demanding problems.

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/*
 *    ClassificationMainTask.java
 *    Copyright (C) 2007 University of Waikato, Hamilton, New Zealand
 *    @author Richard Kirkby ([email protected])
 *
 *    This program is free software; you can redistribute it and/or modify
 *    it under the terms of the GNU 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 General Public License for more details.
 *
 *    You should have received a copy of the GNU General Public License
 *    along with this program. If not, see .
 *
 */
package moa.tasks;

import moa.capabilities.CapabilitiesHandler;
import moa.capabilities.Capability;
import moa.capabilities.ImmutableCapabilities;
import moa.streams.clustering.ClusterEvent;

import java.util.ArrayList;

/**
 * Abstract Classification Main Task. All tasks that uses classifiers must
 * extend this class.
 *
 * @author Richard Kirkby ([email protected])
 * @version $Revision: 7 $
 */
public abstract class ClassificationMainTask extends MainTask
                                             implements CapabilitiesHandler {

    protected ArrayList events;

    protected void setEventsList(ArrayList events) {
        this.events = events;
    }
    
    public ArrayList getEventsList() {
        return this.events;
    }

    public ImmutableCapabilities defineImmutableCapabilities() {
        // We are restricting tasks based on view mode
        return new ImmutableCapabilities(Capability.VIEW_STANDARD);
    }
    
}