new cost aware pso
visualization improved
stability improved
new regressors added
state saving works
image regenaration kind of works
quadrature based method extended
1.added extra mechanisms to prevent "screw ups"
2.most issues are handeled now...
3.added new gp libs, need to integraqte them -> should solve the problem of numerical instability later on (when predictions fail for some stupid reason
Merge branch 'master' of https://github.com/CustomComputingGroup/MLO

Conflicts:
	controller/visualizer.py
	views/visualizers/plot.py
1.new kernels
2.new MUCH faster pyGPR library
3.cost model added
4.some changes to makefile (should be really my local changes... they are just added to show how you can define multiple experiments
5.extra visualization
6.extra stability
Merge branch 'master' of https://github.com/CustomComputingGroup/MLO

Conflicts:
	controller/visualizer.py
	model/run.py
	model/surrogatemodels/classifiers.py
	model/surrogatemodels/regressors.py
	model/surrogatemodels/surrogatemodel.py
	model/trials/trial.py
	utils.py
	views/modes.py
	views/visualizers/plot.py