blob: e4bdb8270377c2b8378ad46fd6eeef092f74b808 [file] [log] [blame]
package org.apache.samoa.moa.evaluation;
/*
* #%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.ArrayList;
import java.util.List;
import org.apache.samoa.moa.AbstractMOAObject;
import org.apache.samoa.moa.core.DoubleVector;
import org.apache.samoa.moa.core.Measurement;
import org.apache.samoa.moa.core.StringUtils;
import org.apache.samoa.moa.core.Vote;
/**
* Class that stores and keeps the history of evaluation measurements.
*
* @author Richard Kirkby (rkirkby@cs.waikato.ac.nz)
* @version $Revision: 7 $
*/
public class LearningCurve extends AbstractMOAObject {
private static final long serialVersionUID = 1L;
protected List<String> measurementNames = new ArrayList<>();
protected List<String> voteNames = new ArrayList<>();
protected List<double[]> measurementValues = new ArrayList<>();
protected List<String> voteValues = new ArrayList<String>();
public LearningCurve(String orderingMeasurementName) {
this.measurementNames.add(orderingMeasurementName);
}
public String getOrderingMeasurementName() {
return this.measurementNames.get(0);
}
public void insertEntry(LearningEvaluation learningEvaluation) {
Measurement[] measurements = learningEvaluation.getMeasurements();
Measurement orderMeasurement = Measurement.getMeasurementNamed(
getOrderingMeasurementName(), measurements);
if (orderMeasurement == null) {
throw new IllegalArgumentException();
}
DoubleVector entryVals = new DoubleVector();
for (Measurement measurement : measurements) {
entryVals.setValue(addMeasurementName(measurement.getName()),
measurement.getValue());
}
double orderVal = orderMeasurement.getValue();
int index = 0;
while ((index < this.measurementValues.size())
&& (orderVal > this.measurementValues.get(index)[0])) {
index++;
}
this.measurementValues.add(index, entryVals.getArrayRef());
}
public int numEntries() {
return this.measurementValues.size();
}
protected int addMeasurementName(String name) {
int index = this.measurementNames.indexOf(name);
if (index < 0) {
index = this.measurementNames.size();
this.measurementNames.add(name);
}
return index;
}
public String headerToString() {
StringBuilder sb = new StringBuilder();
boolean first = true;
for (String name : this.measurementNames) {
if (!first) {
sb.append(',');
} else {
first = false;
}
sb.append(name);
}
return sb.toString();
}
public String entryToString(int entryIndex) {
StringBuilder sb = new StringBuilder();
double[] vals = this.measurementValues.get(entryIndex);
for (int i = 0; i < this.measurementNames.size(); i++) {
if (i > 0) {
sb.append(',');
}
if ((i >= vals.length) || Double.isNaN(vals[i])) {
sb.append('?');
} else {
sb.append(Double.toString(vals[i]));
}
}
return sb.toString();
}
@Override
public void getDescription(StringBuilder sb, int indent) {
sb.append(headerToString());
for (int i = 0; i < numEntries(); i++) {
StringUtils.appendNewlineIndented(sb, indent, entryToString(i));
}
}
public double getMeasurement(int entryIndex, int measurementIndex) {
return this.measurementValues.get(entryIndex)[measurementIndex];
}
public String getMeasurementName(int measurementIndex) {
return this.measurementNames.get(measurementIndex);
}
protected int addVoteName(String name) {
int index = this.voteNames.indexOf(name);
if (index < 0) {
index = this.voteNames.size();
this.voteNames.add(name);
}
return index;
}
public void setVote(Vote[] votes) {
this.voteValues.clear();
for (Vote vote : votes) {
voteValues.add(addVoteName(vote.getName()), vote.getValue());
}
}
/**
* This method is used to set generate header line of a text file containing predictions and votes (for classification
* only)
*
* @return String This returns the text of the header of a file containing predictions and votes.
*/
public String voteHeaderToString() {
StringBuilder sb = new StringBuilder();
boolean first = true;
for (String name : this.voteNames) {
if (!first) {
sb.append(',');
} else {
first = false;
}
sb.append(name);
}
return sb.toString();
}
/**
* This method is used to set generate one body line of a text file containing predictions and votes (for
* classification only)
*
* @return String This returns the text of one line of a file containing predictions and votes.
*/
public String voteEntryToString() {
StringBuilder sb = new StringBuilder();
for (int i = 0; i < this.voteNames.size(); i++) {
if (i > 0) {
sb.append(',');
}
if ((i >= voteValues.size())) {
sb.append('?');
} else {
sb.append(voteValues.get(i));
}
}
return sb.toString();
}
}