The purpose of this page is just to serve as todo or scratch pad for the development project and to list and share some ideas.
After making changes to the code and/or documentation, this page should remain on the website as a reminder of what was done and how it was done. However, there is no guarantee that this page is updated in the end to reflect the final state of the project
So chances are that this page is considerably outdated and irrelevant. The notes here might not reflect the current state of the code, and you should not use this as serious documentation.
Ensemble methods
At the moment the ft_mv_gridsearch class produces the classifier of all candidate classifiers, which are defined in the input, with the best performance.
The extension which is currently implemented and under investigation is a class that finds an ensemble of all candidate classifiers.
The input to this alternative grid superclassifier class is the same as for the grid search and produces an ensemble classifier using arbitrary many of the candidate configuration as ensemble members.
contact: karch-spam(at)mpib-berlin(dot)mpg(dot)de without -spam