Trying out if parallel feature extraction works.
Learning from past mistakes and printing out exceptions from worker method.
Trying out to avoid running into memory problems by chunking up the data.
Batching up the data.
Wrong returning?
Merge branch 'classify-existing-relations' into parallel-classification

Conflicts:
	Set.py
	TestSet.py
	TrainingSet.py
New try.
Next try with Managers which needs to much memory on my laptop.
More debugging output.
Fixed wrong order of arguments.
Finally a working version. Pretty ugly though.
Removing Nones from set of relations.
Remove debugging statement since it is working now. Yey.
Create closures and inverses.
Changed name of global variable.
Cache parsed data.
Use SVM instead of RandomForest.
Merge branch 'parallel-classification' into classify-existing-relations