adams.flow.container.WekaForecastContainer.java Source code

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/*
 *   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 <http://www.gnu.org/licenses/>.
 */

/*
 * WekaForecastContainer.java
 * Copyright (C) 2013-2016 University of Waikato, Hamilton, New Zealand
 */

package adams.flow.container;

import weka.classifiers.evaluation.NumericPrediction;
import weka.classifiers.timeseries.AbstractForecaster;
import weka.classifiers.timeseries.WekaForecaster;

import java.util.ArrayList;
import java.util.Iterator;
import java.util.List;

/**
 * A container for forecasts made by a forecaster.
 *
 * @author  fracpete (fracpete at waikato dot ac dot nz)
 * @version $Revision$
 */
public class WekaForecastContainer extends AbstractContainer {

    /** for serialization. */
    private static final long serialVersionUID = 872330681430825295L;

    /** the identifier for the forecaster model. */
    public final static String VALUE_MODEL = "Model";

    /** the identifier for the Classification. */
    public final static String VALUE_FORECASTS = "Forecasts";

    /**
     * Initializes the container.
     * <br><br>
     * Only used for generating help information.
     */
    public WekaForecastContainer() {
        this(new WekaForecaster(), new ArrayList<List<NumericPrediction>>());
    }

    /**
     * Initializes the container.
     *
     * @param model   the forecaster model
     * @param forecasts   the forecasts
     */
    public WekaForecastContainer(AbstractForecaster model, List<List<NumericPrediction>> forecasts) {
        super();

        store(VALUE_MODEL, model);
        store(VALUE_FORECASTS, forecasts);
    }

    /**
     * Initializes the help strings.
     */
    protected void initHelp() {
        super.initHelp();

        addHelp(VALUE_MODEL, "forecaster model", AbstractForecaster.class);
        addHelp(VALUE_FORECASTS, "forecasts made; list of list of " + NumericPrediction.class.getName());
    }

    /**
     * Returns all value names that can be used (theoretically).
     *
     * @return      enumeration over all possible value names
     */
    @Override
    public Iterator<String> names() {
        List<String> result;

        result = new ArrayList<String>();

        result.add(VALUE_MODEL);
        result.add(VALUE_FORECASTS);

        return result.iterator();
    }

    /**
     * Checks whether the setup of the container is valid.
     *
     * @return      true if all the necessary values are available
     */
    @Override
    public boolean isValid() {
        return (hasValue(VALUE_MODEL) && hasValue(VALUE_FORECASTS));
    }
}