minimal example to reproduce high generalization score on very high dimensional data
make the high resolution example more minimal, simple and use even higher resolution

--> still giving high generalization score
last version of the high_res_spectral file that helped my tracing down the bug
for MySVR move feature selection in validation loop
apply the new interface (include feature selection in training and gen_score estimation) to all ML methods

common interface for all my ML methods

fit - overwritten to include feature selection and to calculate gen_score on demand
gen_score - property which can be computed in fit
predict - like original predict but only on a selection of the features
score - like original score but only on a selection of the features
fix missing import and a few other small bugs introduced with new learning interface
use new learning interface in run_lib
add test for the new SVR xvalidation
fix the SVR Ensemble and add test for it

* pass kwargs to xvalidation ensembles
* fix other small problems
add test for the new random forest regression
fix score and prediction methods 

the problem is that score did feature selection and then called predict which did feature selection again
fix run_runner and add some debug output
Merge branch 'fix_feature_sel'