Models of an Ensemble may get a different problem data if loaded

[sforsten]

The AfterDeserialization method in *EnsembleSolution give the models in the ensemble only a copy of the problem data, which is a *EnsembleProblemData and behaves differently from a *ProblemData (especially the methods IsTrainingSample and IsTestSample). So the ensemble may become different after it is saved and loaded again.

Remark: Classification and Regression are meant with the * sign.

Also one of the constructors in *EnsembleSolution may give the models wrong problem data.

[mkommend]

r8528: Changed CreateSolution method in all DataAnalysisModels to transform the handed IProblemData to the correct type.

[sforsten]

r8533: corrected typo

[sforsten]

r8857: changes made in r8528 have been extended to TimeSeriesPrognosis and to DiscriminantFunctionClassificationModel, which has been missed

[gkronber]

no review comments for r8533 and r8857. Reviewed r8528, which looks ok.

However, when testing I stumbled over a bug that I think is related to the changes of r8528: If you create a RegressionEnsembleSolution using cross validation, the ErrorCharacteristicCurveView will throw an exception because the estimated values enumerable produced by the ConstantRegressionSolution is empty (the TrainingIndices enumerable is empty).

Please fix this problem and assign the ticket back to me.

[mkommend]

r8963: Corrected problem in RegressionSolutionErrorCharacteristicsCurveView regarding the constant model.

[gkronber]

Reviewed r8963 and tested the ECC view again. Now everything works as expected.