private void writeObject(ObjectOutputStream out) throws IOException { out.writeInt(CURRENT_SERIAL_VERSION); out.writeObject(getInstancePipe()); // write weight vector for each class out.writeObject(m_weights); }
int numClasses = getLabelAlphabet().size(); int numFeats = getAlphabet().size(); double[] scores = new double[numClasses]; FeatureVector fv = (FeatureVector) instance.getData (); return new Classification (instance, this, new LabelVector (getLabelAlphabet(), scores));
this.classifier = new BalancedWinnow (trainingList.getPipe(), m_weights); return classifier;
int numClasses = getLabelAlphabet().size(); int numFeats = getAlphabet().size(); double[] scores = new double[numClasses]; FeatureVector fv = (FeatureVector) instance.getData (); return new Classification (instance, this, new LabelVector (getLabelAlphabet(), scores));
this.classifier = new BalancedWinnow (trainingList.getPipe(), m_weights); return classifier;
int numClasses = getLabelAlphabet().size(); int numFeats = getAlphabet().size(); double[] scores = new double[numClasses]; FeatureVector fv = (FeatureVector) instance.getData (); return new Classification (instance, this, new LabelVector (getLabelAlphabet(), scores));
private void writeObject(ObjectOutputStream out) throws IOException { out.writeInt(CURRENT_SERIAL_VERSION); out.writeObject(getInstancePipe()); // write weight vector for each class out.writeObject(m_weights); }
this.classifier = new BalancedWinnow (trainingList.getPipe(), m_weights); return classifier;
private void writeObject(ObjectOutputStream out) throws IOException { out.writeInt(CURRENT_SERIAL_VERSION); out.writeObject(getInstancePipe()); // write weight vector for each class out.writeObject(m_weights); }