Initial release
19.07.2018
Compboost now uses sparse matrices for splines to reduce memory load.
29.06.2018
Compboost API is almost ready to use.
14.06.2018
Update naming GreedyOptimizer -> OptimizerCoordinateDescent and small typos.
30.03.2018
Compboost is now ready to do binary classification by using the BernoulliLoss.
29.03.2018
Upload C++ documentation created by doxygen.
28.03.2018
P-Splines are now availalbe as baselearner. Additionally the Polynomial and P-Spline learner are speeded up using a more gneeral data structure which stores the inverse once and reuse it for every iteration.
21.03.2018
New data structure with independent source and target.
01.03.2018
Compboost should now run stable and without memory leaks.
07.02.2018
Naming of the C++ classes. Those are matching the R classes now.
29.01.2018
Update naming to a mroe consistent scheme.
26.01.2018
Add printer for the classes.
22.01.2018
Add inbag and out of bag logger.
21.01.2018
New structure for factorys and baselearner. The function InstantiateData is now member of the factory, not the baselearner. This should also speed up the algorithm, since we don’t have to check whether data is instantiated or not. We can do that once within the constructor. Additionally, it should be more clear now what the member does since there is no hacky baselearner helper necessary to instantiate the data.