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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.
/*
* OutlierEvalPanel.java
* Copyright (C) 2013 Aristotle University of Thessaloniki, Greece
* @author D. Georgiadis, A. Gounaris, A. Papadopoulos, K. Tsichlas, Y. Manolopoulos
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*
*/
package moa.gui.outliertab;
import java.awt.GridBagConstraints;
import java.util.ArrayList;
import java.util.logging.Logger;
import javax.swing.JCheckBox;
import javax.swing.JLabel;
import moa.core.AutoClassDiscovery;
import moa.core.AutoExpandVector;
import moa.evaluation.ClassificationMeasureCollection;
import moa.evaluation.MeasureCollection;
import moa.evaluation.OutlierPerformance;
public class OutlierEvalPanel extends javax.swing.JPanel {
Class>[] measure_classes = null;
ArrayList labels = null;
ArrayList checkboxes = null;
/** Creates new form ClusteringEvalPanel */
public OutlierEvalPanel() {
initComponents();
measure_classes = findMeasureClasses();
labels = new ArrayList();
checkboxes = new ArrayList();
addComponents();
}
private void addComponents() {
GridBagConstraints gb = new GridBagConstraints();
gb.insets = new java.awt.Insets(4, 7, 4, 7);
int counter = 0;
for (int i = 0; i < measure_classes.length; i++) {
try {
MeasureCollection m = (MeasureCollection) measure_classes[i].newInstance();
for (int j = 0; j < m.getNumMeasures(); j++) {
String t = m.getName(j);
JLabel l = new JLabel(m.getName(j));
l.setPreferredSize(new java.awt.Dimension(100, 14));
//labels[i].setToolTipText("");
gb.gridx = 0;
gb.gridy = counter;
labels.add(l);
contentPanel.add(l, gb);
JCheckBox cb = new JCheckBox();
if (m.isEnabled(j)) {
cb.setSelected(true);
} else {
cb.setSelected(false);
}
gb.gridx = 1;
checkboxes.add(cb);
contentPanel.add(cb, gb);
counter++;
}
} catch (Exception ex) {
System.out.println("Couldn't create Instance for " + measure_classes[i].getName());
}
}
JLabel dummy = new JLabel();
gb.gridx = 0;
gb.gridy++;
gb.gridwidth = 3;
gb.weightx = 1;
gb.weighty = 1;
add(dummy, gb);
}
private Class>[] findMeasureClasses() {
AutoExpandVector> finalClasses = new AutoExpandVector>();
Class>[] classesFound = AutoClassDiscovery.findClassesOfType("moa.evaluation",
OutlierPerformance.class);
for (Class> foundClass : classesFound) {
finalClasses.add(foundClass);
}
return finalClasses.toArray(new Class>[finalClasses.size()]);
}
public MeasureCollection[] getSelectedMeasures() {
ArrayList measuresSelect = new ArrayList();
for (int i = 0; i < measure_classes.length; i++) {
try {
MeasureCollection m = (MeasureCollection) measure_classes[i].newInstance();
measuresSelect.add(m);
} catch (Exception ex) {
System.out.println("Couldn't create Instance for " + measure_classes[i].getName());
}
}
MeasureCollection[] measures = new MeasureCollection[measuresSelect.size()];
for (int i = 0; i < measures.length; i++) {
measures[i] = measuresSelect.get(i);
}
return measures;
}
/** This method is called from within the constructor to
* initialize the form.
* WARNING: Do NOT modify this code. The content of this method is
* always regenerated by the Form Editor.
*/
@SuppressWarnings("unchecked")
// //GEN-BEGIN:initComponents
private void initComponents() {
java.awt.GridBagConstraints gridBagConstraints;
scrollPane = new javax.swing.JScrollPane();
contentPanel = new javax.swing.JPanel();
setBorder(javax.swing.BorderFactory.createTitledBorder(null, "Evaluation Measures", javax.swing.border.TitledBorder.DEFAULT_JUSTIFICATION, javax.swing.border.TitledBorder.DEFAULT_POSITION, new java.awt.Font("Tahoma", 1, 11))); // NOI18N
setLayout(new java.awt.GridBagLayout());
scrollPane.setBorder(null);
scrollPane.setHorizontalScrollBarPolicy(javax.swing.ScrollPaneConstants.HORIZONTAL_SCROLLBAR_NEVER);
scrollPane.setVerticalScrollBarPolicy(javax.swing.ScrollPaneConstants.VERTICAL_SCROLLBAR_ALWAYS);
scrollPane.setPreferredSize(new java.awt.Dimension(100, 225));
contentPanel.setLayout(new java.awt.GridBagLayout());
scrollPane.setViewportView(contentPanel);
gridBagConstraints = new java.awt.GridBagConstraints();
gridBagConstraints.fill = java.awt.GridBagConstraints.BOTH;
gridBagConstraints.weightx = 1.0;
gridBagConstraints.weighty = 1.0;
add(scrollPane, gridBagConstraints);
}// //GEN-END:initComponents
// Variables declaration - do not modify//GEN-BEGIN:variables
private javax.swing.JPanel contentPanel;
private javax.swing.JScrollPane scrollPane;
// End of variables declaration//GEN-END:variables
}
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