Add news for v0.2.0

NEWS.md

@@ -1,3 +1,28 @@
+# 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 term 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
+
+
 # abclass 0.1.0
 
 ## New features