LogisticRegression class is provided with minimum amount of coding for simplicity, together with basic statistics information such as deviance, residual deviance and AIC just like the lm function in R package.
Sample code for implementing classification using data from https://github.com/SaveTheRbtz/ml-class/blob/master/ex2/ex2data1.txt is available. Only two variables are used for fitting and predicting label here but the provided class can adapt to any number of variables and data size.