code: public void init() {
  	numLabels = model.data.numLabels();
  	numFeatures = model.feaGen.numFeatures();
  	if (numLabels <= 0 || numFeatures <= 0) {
  	    System.out.println("Invalid number of labels or features");
  	    return;
  	}
  	
  	lambda = model.lambda;
  	tempLambda = new double[numFeatures];
  	
  	gradLogLi = new double[numFeatures];
  	diag = new double[numFeatures];
  	
  	temp = new double[numLabels];
  	
  	int wsSize = numFeatures * (2 * model.option.mForHessian + 1) +
  		    2 * model.option.mForHessian;		
  	ws = new double[wsSize];
  	
  	iprint = new int[2];
  	iflag = new int[1];
  	
      }
docs: Inits the.