MusicClassificationExperiment

Script

if ((url == void) || (url == null)) {
	throw new RuntimeException("The url must be specified");
}

URL inputURL = null;
if (base != void) {
  inputURL = new URL(new URL(base), url);
}
else {
  inputURL = new URL(url);
}
URLConnection con = inputURL.openConnection();
InputStream in = con.getInputStream();

StringBuffer result = new StringBuffer();
BufferedReader reader;

String encoding = con.getContentEncoding();
if (encoding == null) {
  reader = new BufferedReader(new InputStreamReader(in));
} else {
  reader = new BufferedReader(new InputStreamReader(in, encoding));
}
String line = null;
String NEWLINE = System.getProperty("line.separator");
while ((line = reader.readLine()) != null) {
	result.append(line);
	result.append(NEWLINE);
}

reader.close();
contents = result.toString();

Script

String lowerCaseContent = document.toLowerCase();
int index = 0;
List mp3Names = new ArrayList();
while ((index = lowerCaseContent.indexOf("#");
	
	String strLink = st.nextToken();

	if(strLink.endsWith(".mp3")){
		mp3Names.add(strLink);		
	}

}

Script

URL inputURL = new URL(new URL(baseUrl), mp3Name);

int bytesRead = 0;
int totalBytesRead = 0;
InputStream is = inputURL.openStream();
ByteArrayOutputStream os = new ByteArrayOutputStream();
byte[] buffer = new byte[2048];
while (true) {
	bytesRead = is.read(buffer);
	if (bytesRead == -1) {
		break;	
	}
	os.write(buffer, 0, bytesRead);
}

mp3ByteArray = os.toByteArray();
is.close();

os.close();

Script

if ((url == void) || (url == null)) {
	throw new RuntimeException("The url must be specified");
}

URL inputURL = null;
if (base != void) {
  inputURL = new URL(new URL(base), url);
}
else {
  inputURL = new URL(url);
}
URLConnection con = inputURL.openConnection();
InputStream in = con.getInputStream();

StringBuffer result = new StringBuffer();
BufferedReader reader;

String encoding = con.getContentEncoding();
if (encoding == null) {
  reader = new BufferedReader(new InputStreamReader(in));
} else {
  reader = new BufferedReader(new InputStreamReader(in, encoding));
}
String line = null;
String NEWLINE = System.getProperty("line.separator");
while ((line = reader.readLine()) != null) {
	result.append(line);
	result.append(NEWLINE);
}

reader.close();
contents = result.toString();

Script

somLibVector = "$TYPE vec\n";
somLibVector += "$XDIM " + featureVector.size() + "\n";
somLibVector += "$YDIM 1\n";
somLibVector += "$VEC_DIM 60\n";
for (int i=0; i

Script

import java.io.File;
import at.tuwien.ifs.somtoolbox.data.SOMLibSparseInputData;
import at.tuwien.ifs.somtoolbox.data.SOMLibClassInformation;
import at.tuwien.ifs.somtoolbox.data.InputDataWriter;

SOMLibSparseInputData data = SOMLibSparseInputData.parse(somLibVector);
SOMLibClassInformation classInfo = SOMLibClassInformation.parse(somLibClassInfo);
data.setClassInfo(classInfo);

arff = InputDataWriter.getAsWekaARFF(data, false, false, "musicFeatures").toString();

Script

import java.io.StringReader;
import java.util.Random;

import weka.classifiers.Evaluation;
import weka.classifiers.functions.SMO;
import weka.core.Instances;
import weka.core.Range;


Instances data = new Instances(new StringReader(arff));
data.setClass(data.attribute("class"));
SMO classifier = new SMO();

int splitPercentage = 66;
int trainSize = data.numInstances() * splitPercentage / 100;
int testSize = data.numInstances() - trainSize;
data.randomize(new Random(7));

Instances train = new Instances(data, 0, trainSize);
Instances test = new Instances(data, trainSize, testSize);

classifier.buildClassifier(train);
Evaluation eval = new Evaluation(data);
StringBuffer stringBuffer = new StringBuffer();

eval.evaluateModel(classifier, test, new Object[] {stringBuffer, new Range("1"), false});
accuracy=(1 - eval.errorRate()) * 100;
detailedResults=stringBuffer.toString();

Script

import org.apache.commons.codec.binary.Base64;

base64 = new String(Base64.encodeBase64(bytes));

Wsdl

Wsdl Operation