private InstanceList readFile() throws IOException {
String NL = System.getProperty("line.separator");
Scanner scanner = new Scanner(new FileInputStream(fileName), encoding);
ArrayList<Pipe> pipeList = new ArrayList<Pipe>();
pipeList.add(new CharSequence2TokenSequence(Pattern.compile("\\p{L}\\p{L}+")));
pipeList.add(new TokenSequence2FeatureSequence());
InstanceList testing = new InstanceList(new SerialPipes(pipeList));
try {
while (scanner.hasNextLine()) {
String text = scanner.nextLine();
text = text.replaceAll("\\x0d", "");
Pattern patten = Pattern.compile("^(.*?),(.*?),(.*)$");
Matcher matcher = patten.matcher(text);
if (matcher.find()) {
docIds.add(matcher.group(1));
testing.addThruPipe(new Instance(matcher.group(3), null, "test instance", null));
}
}
} finally {
scanner.close();
}
return testing;
}
private InstanceList generateInstanceList() throws Exception {
ArrayList<Pipe> pipeList = new ArrayList<Pipe>();
pipeList.add(new CharSequence2TokenSequence(Pattern.compile("\\p{L}\\p{L}+")));
pipeList.add(new TokenSequence2FeatureSequence());
Reader fileReader = new InputStreamReader(new FileInputStream(new File(fileName)), "UTF-8");
InstanceList instances = new InstanceList(new SerialPipes(pipeList));
instances.addThruPipe(
new CsvIterator(
fileReader,
Pattern.compile("^(\\S*)[\\s,]*(\\S*)[\\s,]*(.*)$"),
3,
2,
1)); // data, label, name fields
return instances;
}
public void test() throws Exception {
ParallelTopicModel model = ParallelTopicModel.read(new File(inferencerFile));
TopicInferencer inferencer = model.getInferencer();
ArrayList<Pipe> pipeList = new ArrayList<Pipe>();
pipeList.add(new CharSequence2TokenSequence(Pattern.compile("\\p{L}\\p{L}+")));
pipeList.add(new TokenSequence2FeatureSequence());
InstanceList instances = new InstanceList(new SerialPipes(pipeList));
Reader fileReader = new InputStreamReader(new FileInputStream(new File(fileName)), "UTF-8");
instances.addThruPipe(
new CsvIterator(
fileReader,
Pattern.compile("^(\\S*)[\\s,]*(\\S*)[\\s,]*(.*)$"),
3,
2,
1)); // data, label, name fields
double[] testProbabilities = inferencer.getSampledDistribution(instances.get(1), 10, 1, 5);
for (int i = 0; i < 1000; i++) System.out.println(i + ": " + testProbabilities[i]);
}