blob: e4e1c61717ef2b47c76d67f6b1996a29f9a118f6 [file] [log] [blame]
package org.apache.samoa.moa.core;
/*
* #%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 java.util.HashMap;
import java.util.Iterator;
import java.util.TreeSet;
import org.apache.samoa.instances.Attribute;
import org.apache.samoa.instances.DenseInstance;
import org.apache.samoa.instances.Instance;
public class DataPoint extends DenseInstance {
private static final long serialVersionUID = 1L;
protected int timestamp;
private HashMap<String, String> measure_values;
protected int noiseLabel;
public DataPoint(Instance nextInstance, Integer timestamp) {
super(nextInstance);
this.setDataset(nextInstance.dataset());
this.timestamp = timestamp;
measure_values = new HashMap<String, String>();
Attribute classLabel = dataset().classAttribute();
noiseLabel = classLabel.indexOfValue("noise"); // -1 returned if there is no noise
}
public void updateWeight(int cur_timestamp, double decay_rate) {
setWeight(Math.pow(2, (-1.0) * decay_rate * (cur_timestamp - timestamp)));
}
public void setMeasureValue(String measureKey, double value) {
synchronized (measure_values) {
measure_values.put(measureKey, Double.toString(value));
}
}
public void setMeasureValue(String measureKey, String value) {
synchronized (measure_values) {
measure_values.put(measureKey, value);
}
}
public String getMeasureValue(String measureKey) {
if (measure_values.containsKey(measureKey))
synchronized (measure_values) {
return measure_values.get(measureKey);
}
else
return "";
}
public int getTimestamp() {
return timestamp;
}
public String getInfo(int x_dim, int y_dim) {
StringBuffer sb = new StringBuffer();
sb.append("<html><table>");
sb.append("<tr><td>Point</td><td>" + timestamp + "</td></tr>");
for (int i = 0; i < numAttributes() - 1; i++) { // m_AttValues.length
String label = "Dim " + i;
if (i == x_dim)
label = "<b>X</b>";
if (i == y_dim)
label = "<b>Y</b>";
sb.append("<tr><td>" + label + "</td><td>" + value(i) + "</td></tr>");
}
sb.append("<tr><td>Decay</td><td>" + weight() + "</td></tr>");
sb.append("<tr><td>True cluster</td><td>" + classValue() + "</td></tr>");
sb.append("</table>");
sb.append("<br>");
sb.append("<b>Evaluation</b><br>");
sb.append("<table>");
TreeSet<String> sortedset;
synchronized (measure_values) {
sortedset = new TreeSet<String>(measure_values.keySet());
}
Iterator miterator = sortedset.iterator();
while (miterator.hasNext()) {
String key = (String) miterator.next();
sb.append("<tr><td>" + key + "</td><td>" + measure_values.get(key) + "</td></tr>");
}
sb.append("</table></html>");
return sb.toString();
}
public double getDistance(DataPoint other) {
double distance = 0.0;
int numDims = numAttributes();
if (classIndex() != 0)
numDims--;
for (int i = 0; i < numDims; i++) {
double d = value(i) - other.value(i);
distance += d * d;
}
return Math.sqrt(distance);
}
public boolean isNoise() {
return (int) classValue() == noiseLabel;
}
public double getNoiseLabel() {
return noiseLabel;
}
}