Improve evaluating models on new data

[mkommend]

Currently, it is only possible to evaluate a model on new data if the different problem data exactly matches the original one w.r.t variable names. Even unused variables that do not occur in the model (either because of feature selection or disabling them in the problem data) are compared and have to have exact same spelling. This is a relic from the evolving source code, because previously there was no way to determine which variables are used in a model (input and target). Due to the inclusion of variable information in the models (#2604) it becomes feasible to refactor this functionality and only check for actually used variables when applying it on new data.

[mkommend]

r16241: Added utility method that checks if a variable is present in the dataset.

[mkommend]

r16243: Added IsProblemDataCompatible and IsDatasetCompatible to all DataAnalysisModels.

[mkommend]

r16244: Used IsProblemDataCompatible and IsDatasetCompatible instead of now obsolete AdjustProblemDataProperties when exchanging the problem data of data analysis solutions.

[gkronber]

Reviewed r16241, r16243, r16244 and tested in HL.

[gkronber]

r16763: changed error strings when trying to load an incompatible dataset for a model.

[mkommend]

Replying to gkronber:

r16763: changed error strings when trying to load an incompatible dataset for a model.

Thank you for improving the error message.

[mkommend]

r17054: Merged r16241, r16243, r16244, r16763 into stable.

[gkronber]

r17172: update mergeinfo