103 forward inverse

Implementation of the forward_evaluation method in the model instance. In a nutshell, allows to provide a set of inputML, with any formatting (normalized or not, transformed or not), and then return the outputML also with any format, such as dataframe, dict, etc.

In the notebook there is an example

# Example of forward evaluation
aux_eval = dataset_semiramis.data['design_parameters'].iloc[:5]
cae.forward_evaluation(aux_eval, format_out="df_per_obj", normalize_in=False)

There are several compulsory flags to indicate if the data provided is normalized or not, etc.