initial draft for gp notebook
some updates on binary classification
some more updates for likelihoods
another paragraph on inference for binary classification
some updates on inference and model-selection
some more things on model-selection with ML2
wrote part on toy regression
-use posterior GP methods that Romand just implemented
-some more updates
CT_SG* and CT_* are now treated as equal in TSGDataType::equals
some parts on ARD and Bayesian hyper-parameters
removed outputs again :(
added forgotten check for other container types
more updates on ARD
add arts/asp __init__.py such that it can be imported