@Override
public void initialize(Parameters params) throws ResourceInitializationException {
if (params.contains(Constants.LABELS)) {
labels = loadLabels(((ResourceReader) params.get(Constants.LABELS)).getReader());
} else {
throw new ResourceInitializationException("No labels provided.");
}
if (params.contains(Constants.THRESHOLD)) {
threshold = params.getDouble(Constants.THRESHOLD);
}
}
@Override
public void initialize(Parameters params) throws ResourceInitializationException {
super.initialize(params);
try {
model = Model.load(((ResourceReader) params.get(Constants.MODEL)).getReader());
} catch (IOException e) {
throw new ResourceInitializationException("Failed to load SVM model.", e);
}
labelIndeces = new int[labels.size()];
labelIndeces = model.getLabels();
representer = (TextRepresenter) params.get(Constants.REPRESENTER);
}
@Override
public void initialize(Parameters params) throws ResourceInitializationException {
super.initialize(params);
if (params.contains(Constants.REPRESENTER)) {
representer = (TextRepresenter) params.get(Constants.REPRESENTER);
} else {
throw new ResourceInitializationException("No text representer specified.");
}
if (params.contains(Constants.FIND_BEST_PARAMETERS)) {
findBestParameters = params.getBoolean(Constants.FIND_BEST_PARAMETERS);
} else {
gamma = 1.0 / (double) representer.getFeatures().size();
}
if (params.contains(Constants.C)) {
if (findBestParameters) {
logger.warn("Finding best parameters. The specified C value will be ignored.");
} else {
c = params.getDouble(Constants.C);
}
}
if (params.contains(Constants.WEIGHTS)) {
// Parse weight specs
weights = new TreeMap<Integer, Double>();
for (String piece : params.getString(Constants.WEIGHTS).split(",\\s*")) {
String[] pair = piece.split(":");
if (pair.length != 2) {
throw new ResourceInitializationException(
"Invalid weight specs in " + params.getString(Constants.WEIGHTS));
}
try {
int i = Integer.parseInt(pair[0]);
double w = Double.parseDouble(pair[1]);
weights.put(i, w);
} catch (Exception e) {
throw new ResourceInitializationException(
"Invalid weight specs in " + params.getString(Constants.WEIGHTS), e);
}
}
}
if (params.contains(Constants.GAMMA)) {
if (findBestParameters) {
logger.warn("Finding best parameters. The specified gamma value will be ignored.");
} else {
gamma = params.getDouble(Constants.GAMMA);
}
}
if (params.contains(Constants.SAMPLE)) {
if (findBestParameters) {
sample = params.getDouble(Constants.SAMPLE);
if (sample <= 0 || sample > 1) {
throw new ResourceInitializationException("Invalid sample value " + sample);
}
} else {
logger.warn(
"Sample value valid for parameter optimization only. Provided sample value will be ignored.");
}
}
if (params.contains(Constants.NUMBER_OF_THREADS)) {
numberOfThreads = params.getInt(Constants.NUMBER_OF_THREADS);
if (numberOfThreads < 1) {
throw new ResourceInitializationException(Constants.NUMBER_OF_THREADS + " must be >= 1");
}
}
if (params.contains(Constants.TARGET_CLASS)) {
targetClass = params.getString(Constants.TARGET_CLASS);
logger.debug("Target Class: " + targetClass);
}
}