moa.clusterers.outliers.AbstractC.AbstractCBase Maven / Gradle / Ivy
Go to download
Show more of this group Show more artifacts with this name
Show all versions of moa Show documentation
Show all versions of moa Show documentation
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.
/*
* AbstractCBase.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.clusterers.outliers.AbstractC;
import java.util.ArrayList;
import java.util.Vector;
import moa.clusterers.outliers.AbstractC.ISBIndex.ISBNode;
import moa.clusterers.outliers.MyBaseOutlierDetector;
public abstract class AbstractCBase extends MyBaseOutlierDetector {
protected static final Long FIRST_OBJ_ID = 1L;
// object identifier increments with each new data stream object
protected Long objId;
// list used to find expired nodes
protected Vector windowNodes;
protected ISBIndex ISB;
protected int m_WindowSize;
protected double m_radius;
protected double m_Fraction;
protected boolean bWarning = false;
// statistics
public int m_nBothInlierOutlier;
public int m_nOnlyInlier;
public int m_nOnlyOutlier;
@Override
public String getObjectInfo(Object obj) {
if (obj == null) return null;
ISBNode node = (ISBNode) obj;
ArrayList infoTitle = new ArrayList();
ArrayList infoValue = new ArrayList();
StringBuilder sb = new StringBuilder();
// show node position
for (int i = 0; i < node.obj.dimensions(); i++) {
infoTitle.add("Dim" + (i+1));
infoValue.add(String.format("%.3f", node.obj.get(i)));
}
// show node properties
infoTitle.add("id");
infoValue.add(String.format("%d", node.id));
sb.append("");
sb.append("");
int i = 0;
while(i < infoTitle.size() && i < infoValue.size()){
sb.append(""+infoTitle.get(i)+": "+infoValue.get(i)+" ");
i++;
}
sb.append("
");
sb.append("");
return sb.toString();
}
@Override
public String getStatistics() {
StringBuilder sb = new StringBuilder();
sb.append("Statistics:\n\n");
// get counters of expired nodes
int nBothInlierOutlier = m_nBothInlierOutlier;
int nOnlyInlier = m_nOnlyInlier;
int nOnlyOutlier = m_nOnlyOutlier;
// add counters of non expired nodes
for (ISBNode node : windowNodes) {
if ((node.nInlier > 0) && (node.nOutlier > 0))
nBothInlierOutlier++;
else if (node.nInlier > 0)
nOnlyInlier++;
else
nOnlyOutlier++;
}
int sum = nBothInlierOutlier + nOnlyInlier + nOnlyOutlier;
if (sum > 0) {
sb.append(String.format(" Nodes always inlier: %d (%.1f%%)\n", nOnlyInlier, (100 * nOnlyInlier) / (double)sum));
sb.append(String.format(" Nodes always outlier: %d (%.1f%%)\n", nOnlyOutlier, (100 * nOnlyOutlier) / (double)sum));
sb.append(String.format(" Nodes both inlier and outlier: %d (%.1f%%)\n", nBothInlierOutlier, (100 * nBothInlierOutlier) / (double)sum));
sb.append(" (Sum: " + sum + ")\n");
}
sb.append("\n Total range queries: " + nRangeQueriesExecuted + "\n");
sb.append(" Max memory usage: " + iMaxMemUsage + " MB\n");
sb.append(" Total process time: " + String.format("%.2f ms", nTotalRunTime / 1000.0) + "\n");
return sb.toString();
}
Long GetWindowEnd() {
return objId - 1;
}
Long GetWindowStart() {
Long x = GetWindowEnd() - m_WindowSize + 1;
if (x < FIRST_OBJ_ID)
x = FIRST_OBJ_ID;
return x;
}
boolean IsWinFull() {
return (GetWindowEnd() >= FIRST_OBJ_ID + m_WindowSize - 1);
}
Long GetExpirationTime(ISBNode node) {
return node.id + m_WindowSize;
}
void AddNode(ISBNode node) {
windowNodes.add(node);
ISB.Insert(node);
}
void RemoveNode(ISBNode node) {
windowNodes.remove(node);
ISB.Remove(node);
RemoveExpiredOutlier(new Outlier(node.inst, node.id, node)); // ### remove when expired?
// update statistics
if ((node.nInlier > 0) && (node.nOutlier > 0))
m_nBothInlierOutlier++;
else if (node.nInlier > 0)
m_nOnlyInlier++;
else
m_nOnlyOutlier++;
}
ISBNode GetExpiredNode() {
if (windowNodes.size() <= 0)
return null;
// get oldest node
ISBNode node = windowNodes.get(0);
// check if node has expired
if (node.id < GetWindowStart()) {
return node;
}
return null;
}
void SaveOutlier(ISBNode node) {
AddOutlier(new Outlier(node.inst, node.id, node));
node.nOutlier++; // update statistics
}
void RemoveOutlier(ISBNode node) {
RemoveOutlier(new Outlier(node.inst, node.id, node));
node.nInlier++; // update statistics
}
@Override
protected boolean IsNodeIdInWin(long id) {
if ((GetWindowStart() <= id) && (id <= GetWindowEnd()) )
return true;
else
return false;
}
void PrintWindow() {
Println("Window [" + GetWindowStart() + "-" + GetWindowEnd() + "]: ");
ISBNode node;
for (int i = 0; i < windowNodes.size(); i++) {
node = windowNodes.get(i);
Print(" Node: ");
PrintNode(node);
}
}
void PrintNode(ISBNode n) {
Print("id=" + n.id + " (");
int dim = n.obj.dimensions();
for (int d = 0; d < dim; d++) {
Print(Double.toString(n.obj.get(d)));
if (d < dim - 1)
Print(", ");
}
Println(")");
}
public void Print_lt_cnt(ArrayList lt_cnt) {
for (int i = 0; i < lt_cnt.size(); i++) {
Print("(" + i + ": " + lt_cnt.get(i) + ") ");
}
Println("");
}
}
© 2015 - 2025 Weber Informatics LLC | Privacy Policy