question: public String globalInfo ( ) { return "Implements stochastic gradient descent for learning" + " various linear models (binary class SVM, binary class" + " logistic regression, squared loss, Huber loss and " + "epsilon-insensitive loss linear regression)." + " Globally replaces all missing values and transforms nominal" + " attributes into binary ones. It also normalizes all attributes," + " so the coefficients in the output are based on the normalized" + " data.\n" + "For numeric class attributes, the squared, Huber or " + "epsilon-insensitve loss function must be used. Epsilon-insensitive " + "and Huber loss may require a much higher learning rate." ; }
target:  Returns a string describing classifier