abclass 0.2.0

New features

• Added experimental group-wise regularization by group lasso penalty.

Minor changes

• Removed the function call from the return of abclass() to avoid
  unnecessarily large returned objects
• Changed the default value of lum_c for abclass() from 0 to 1.
• Renamed the argument rel_tol to epsilon for abclass().

Bug fixes

• Fixed the first derivatives of the boosting loss
• Fixed the label prediction by using the fitted inner products instead of the
  probability estimates
• Fixed the computation of regularization terms for verbose outputs in
  AbclassNet
• Fixed the computation of validation accuracy in cross-validation
• Fixed the assignment of lum_c in the associated header files.
• Fixed the computation of lower bound for distinct observation weights