All Downloads are FREE. Search and download functionalities are using the official Maven repository.

moa.gui.outliertab.OutlierAlgoPanel Maven / Gradle / Ivy

Go to download

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.

There is a newer version: 2024.07.0
Show newest version
/*
 *    OutlierAlgoPanel.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.*;
import java.awt.event.ActionEvent;
import java.awt.event.ActionListener;
import java.util.ArrayList;
import java.util.LinkedList;
import java.util.List;
import java.util.logging.Level;
import java.util.logging.Logger;
import javax.swing.JButton;
import javax.swing.JComponent;
import javax.swing.JLabel;
import javax.swing.JPanel;
import moa.clusterers.outliers.MyBaseOutlierDetector;
import moa.gui.GUIUtils;
import moa.gui.OptionEditComponent;
import moa.options.ClassOption;
import moa.options.Option;
import moa.streams.clustering.ClusteringStream;

public class OutlierAlgoPanel extends javax.swing.JPanel implements ActionListener{

    protected List editComponents = new LinkedList();

    private ClassOption streamOption = new ClassOption("Stream", 's',
                "", ClusteringStream.class,
                "RandomRBFGeneratorEvents"); 

    private ClassOption algorithmOption0 = new ClassOption("Algorithm0", 'a',
               "Algorithm to use.", MyBaseOutlierDetector.class, "MCOD.MCOD");
    
    private ClassOption algorithmOption1 = new ClassOption("Algorithm1", 'a',
               "Algorithm to use.", MyBaseOutlierDetector.class, "Angiulli.ExactSTORM");
   
    public OutlierAlgoPanel() {
        initComponents();
    }

    public void renderAlgoPanel(){

        setLayout(new BorderLayout());

        ArrayList




© 2015 - 2025 Weber Informatics LLC | Privacy Policy