Preprocessing includes building the InputSpace, checking the input dimensions and assigning the inputs to parameters.

Some surrogate strategies and PostProcessing options need to be reworked

Tested static training with PCE on analytical example, remaining changes tbd for sequential training and postprocessing

An example 'principal_component_analysis' was added to specifically test this functionality. It uses the analytical model.
Fixed two if-calls in `pca_transformation` to match older code and the content of the function.

This merge is to be a part of release 1.1.0.
It contains bug fixes and restructuring of the classes BayesInference and BayesianModelComparison, as well as new tests and examples and the first draft of a package-specific website.

An example 'principal_component_analysis' was added to specifically test this functionality. It uses the analytical model.
Fixed two if-calls in `pca_transformation` to match older code and the content of the function.

MCMC does not receive the whole BayesInf object anymore, performance of inference now should be back up to speed with MCMC. In future perhaps rework so that MCMC is a child class of BayesInf?

This reverts merge request !18

This reverts commit acf483a1

More test for BayesInf, starting tests for MCMC

Some simple fixes for various test, start on testing BayesInf, output directory as changeable parameter in BayesInf

Solved some issues from rebasing

Added tests for Inputs and started on those for ExpDesign.
Regarding the second there are some open questions noted in issue #32