User guide startet for models, surrogate training, sequential training, postprocessing and BAyesian classes. The guide now contains simplified UMLs (for BayesInf not yet done).

Errors thrown by the tests were resolved where possible.
If they could not be resolved and issue was created for them.
For the sake of testing the pipeline, the unresolved tests were commented out.

Changed scipy, tqdm, statsmodels

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.

User guide startet for models, surrogate training, sequential training, postprocessing and BAyesian classes. The guide now contains simplified UMLs (for BayesInf not yet done).

Errors thrown by the tests were resolved where possible.
If they could not be resolved and issue was created for them.
For the sake of testing the pipeline, the unresolved tests were commented out.

Changed scipy, tqdm, statsmodels

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