| package org.apache.samoa.moa.classifiers.core.driftdetection; |
| |
| /* |
| * #%L |
| * SAMOA |
| * %% |
| * Copyright (C) 2014 - 2015 Apache Software Foundation |
| * %% |
| * 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. |
| * #L% |
| */ |
| |
| import org.apache.samoa.moa.core.ObjectRepository; |
| import org.apache.samoa.moa.tasks.TaskMonitor; |
| |
| import com.github.javacliparser.IntOption; |
| |
| /** |
| * Drift detection method based in DDM method of Joao Gama SBIA 2004. |
| * |
| * <p> |
| * João Gama, Pedro Medas, Gladys Castillo, Pedro Pereira Rodrigues: Learning with Drift Detection. SBIA 2004: 286-295 |
| * </p> |
| * |
| * @author Manuel Baena (mbaena@lcc.uma.es) |
| * @version $Revision: 7 $ |
| */ |
| public class DDM extends AbstractChangeDetector { |
| |
| private static final long serialVersionUID = -3518369648142099719L; |
| |
| // private static final int DDM_MINNUMINST = 30; |
| public IntOption minNumInstancesOption = new IntOption( |
| "minNumInstances", |
| 'n', |
| "The minimum number of instances before permitting detecting change.", |
| 30, 0, Integer.MAX_VALUE); |
| private int m_n; |
| |
| private double m_p; |
| |
| private double m_s; |
| |
| private double m_psmin; |
| |
| private double m_pmin; |
| |
| private double m_smin; |
| |
| public DDM() { |
| resetLearning(); |
| } |
| |
| @Override |
| public void resetLearning() { |
| m_n = 1; |
| m_p = 1; |
| m_s = 0; |
| m_psmin = Double.MAX_VALUE; |
| m_pmin = Double.MAX_VALUE; |
| m_smin = Double.MAX_VALUE; |
| } |
| |
| @Override |
| public void input(double prediction) { |
| // prediction must be 1 or 0 |
| // It monitors the error rate |
| if (this.isChangeDetected) { |
| resetLearning(); |
| } |
| m_p = m_p + (prediction - m_p) / (double) m_n; |
| m_s = Math.sqrt(m_p * (1 - m_p) / (double) m_n); |
| |
| m_n++; |
| |
| // System.out.print(prediction + " " + m_n + " " + (m_p+m_s) + " "); |
| this.estimation = m_p; |
| this.isChangeDetected = false; |
| this.isWarningZone = false; |
| this.delay = 0; |
| |
| if (m_n < this.minNumInstancesOption.getValue()) { |
| return; |
| } |
| |
| if (m_p + m_s <= m_psmin) { |
| m_pmin = m_p; |
| m_smin = m_s; |
| m_psmin = m_p + m_s; |
| } |
| |
| if (m_n > this.minNumInstancesOption.getValue() && m_p + m_s > m_pmin + 3 * m_smin) { |
| this.isChangeDetected = true; |
| // resetLearning(); |
| } else |
| this.isWarningZone = m_p + m_s > m_pmin + 2 * m_smin; |
| } |
| |
| @Override |
| public void getDescription(StringBuilder sb, int indent) { |
| // TODO Auto-generated method stub |
| } |
| |
| @Override |
| protected void prepareForUseImpl(TaskMonitor monitor, |
| ObjectRepository repository) { |
| // TODO Auto-generated method stub |
| } |
| } |