How to use

getDefaultTemporalModel

method

in

net.recommenders.rival.core.DataModelFactory

/**
 * {@inheritDoc}
 */
@Override
public TemporalDataModelIF<Long, Long> parseTemporalData(final File f) throws IOException {
  TemporalDataModelIF<Long, Long> dataset = DataModelFactory.getDefaultTemporalModel();
  BufferedReader br = SimpleParser.getBufferedReader(f);
  String line;
  while ((line = br.readLine()) != null) {
    parseLine(line, dataset);
  }
  br.close();
  return dataset;
}

/**
 * Parses a data file with a specific separator between fields.
 *
 * @param f The file to be parsed.
 * @param token The separator to be used.
 * @param isTemporal A flag indicating if the file contains temporal
 * information.
 * @return A dataset created from the file.
 * @throws IOException if the file cannot be read.
 */
public TemporalDataModelIF<Long, Long> parseData(final File f, final String token, final boolean isTemporal) throws IOException {
  TemporalDataModelIF<Long, Long> dataset = DataModelFactory.getDefaultTemporalModel();
  BufferedReader br = SimpleParser.getBufferedReader(f);
  String line = br.readLine();
  if ((line != null) && (!line.matches(".*[a-zA-Z].*"))) {
    parseLine(line, dataset, token, isTemporal);
  }
  while ((line = br.readLine()) != null) {
    parseLine(line, dataset, token, isTemporal);
  }
  br.close();
  return dataset;
}

TemporalDataModelIF<Long, Long> dataset = DataModelFactory.getDefaultTemporalModel();

TemporalDataModelIF<Long, Long> dataset = DataModelFactory.getDefaultTemporalModel();

final TemporalDataModelIF<U, I>[] splits = new TemporalDataModelIF[2 * nFolds];
for (int i = 0; i < nFolds; i++) {
  splits[2 * i] = DataModelFactory.getDefaultTemporalModel(); // training
  splits[2 * i + 1] = DataModelFactory.getDefaultTemporalModel(); // test

/**
 * {@inheritDoc}
 */
@Override
public TemporalDataModelIF<Long, Long> parseTemporalData(final File f) throws IOException {
  TemporalDataModelIF<Long, Long> dataset = DataModelFactory.getDefaultTemporalModel();
  Reader in = new InputStreamReader(new FileInputStream(f), "UTF-8");
  Iterable<CSVRecord> records;
  if (isHasHeader()) {
    records = CSVFormat.EXCEL.withDelimiter(getDelimiter()).withHeader().parse(in);
  } else {
    records = CSVFormat.EXCEL.withDelimiter(getDelimiter()).parse(in);
  }
  for (CSVRecord record : records) {
    long userID = Long.parseLong(record.get(getUserTok()));
    long itemID = Long.parseLong(record.get(getItemTok()));
    long timestamp = -1L;
    if (getTimeTok() != -1) {
      timestamp = Long.parseLong(record.get(getTimeTok()));
    }
    double preference = Double.parseDouble(record.get(getPrefTok()));
    dataset.addPreference(userID, itemID, preference);
    dataset.addTimestamp(userID, itemID, timestamp);
  }
  in.close();
  return dataset;
}

@SuppressWarnings("unchecked")
final TemporalDataModelIF<U, I>[] splits = new TemporalDataModel[2];
splits[0] = DataModelFactory.getDefaultTemporalModel(); // training
splits[1] = DataModelFactory.getDefaultTemporalModel(); // test
if (perUser) {
  for (U user : data.getUsers()) {