Java tutorial
/* * 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/>. */ /* * AbstractEvaluationMetric.java * Copyright (C) 2011-2012 University of Waikato, Hamilton, New Zealand * */ import java.io.Serializable; import java.util.ArrayList; import java.util.List; import java.util.Set; import weka.gui.beans.PluginManager; /** * Abstract base class for pluggable classification/regression evaluation * metrics. * * @author Mark Hall (mhall{[at]}pentaho{[dot]}com) * @version $Revision: 9320 $ */ public abstract class AbstractEvaluationMetric implements Serializable { /** For serialization */ private static final long serialVersionUID = -924507718482386887L; /** * Gets a list of freshly instantiated concrete implementations of available * plugin metrics or null if there are no plugin metrics available * * @return a list of plugin metrics or null if there are no plugin metrics */ public static ArrayList<AbstractEvaluationMetric> getPluginMetrics() { ArrayList<AbstractEvaluationMetric> pluginMetricsList = null; Set<String> pluginMetrics = PluginManager.getPluginNamesOfType(AbstractEvaluationMetric.class.getName()); if (pluginMetrics != null) { pluginMetricsList = new ArrayList<AbstractEvaluationMetric>(); for (String metric : pluginMetrics) { try { Object impl = PluginManager.getPluginInstance(AbstractEvaluationMetric.class.getName(), metric); if (impl instanceof AbstractEvaluationMetric) { pluginMetricsList.add((AbstractEvaluationMetric) impl); } } catch (Exception ex) { ex.printStackTrace(); } } } return pluginMetricsList; } /** * Exception for subclasses to throw if asked for a statistic that is not part * of their implementation * * @author Mark Hall (mhall{[at]}pentaho{[dot]}com) * @version $Revision: 9320 $ */ public class UnknownStatisticException extends IllegalArgumentException { /** For serialization */ private static final long serialVersionUID = -8787045492227999839L; /** * Constructs a new UnknownStatisticsException * * @param message the exception's message */ public UnknownStatisticException(String message) { super(message); } } /** * Base evaluation object for subclasses to access for statistics. IMPORTANT: * subclasses should treat this object as read-only */ protected Evaluation m_baseEvaluation; /** * Set the base evaluation object to use. IMPORTANT: subclasses should treat * this object as read-only. * * @param eval */ public void setBaseEvaluation(Evaluation eval) { m_baseEvaluation = eval; } /** * Return true if this evaluation metric can be computed when the class is * nominal * * @return true if this evaluation metric can be computed when the class is * nominal */ public abstract boolean appliesToNominalClass(); /** * Return true if this evaluation metric can be computed when the class is * numeric * * @return true if this evaluation metric can be computed when the class is * numeric */ public abstract boolean appliesToNumericClass(); /** * Get the name of this metric * * @return the name of this metric */ public abstract String getMetricName(); /** * Get a short description of this metric (algorithm, forumulas etc.). * * @return a short description of this metric */ public abstract String getMetricDescription(); /** * Get a list of the names of the statistics that this metrics computes. E.g. * an information theoretic evaluation measure might compute total number of * bits as well as avergate bits/instance * * @return the names of the statistics that this metric computes */ public abstract List<String> getStatisticNames(); /** * Get the value of the named statistic * * @param statName the name of the statistic to compute the value for * @return the computed statistic or Utils.missingValue() if the statistic * can't be computed for some reason */ public abstract double getStatistic(String statName); }