Add scaling of input features

[HeuristicLab-Trac-Bot]

Issue migrated from trac ticket # 3044

milestone: HeuristicLab 3.3.17 | component: Problems.DataAnalysis | priority: medium

2019-12-17 13:59:29: djoedick created the issue

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Investigation of ticket #3043 has shown, that scaling of input variables often leads to an improvement in the quality of the results, especially when using a standard deviation. This feature should be implemented as a standard option for upcoming versions.

[HeuristicLab-Trac-Bot]

2019-12-20 10:15:15: @mkommend changed component from ### Undefined ### to Problems.DataAnalysis

[HeuristicLab-Trac-Bot]

2019-12-20 10:43:38: djoedick changed status from new to accepted

[HeuristicLab-Trac-Bot]

2019-12-20 11:39:12: djoedick commented

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r17387: Created new branch for SymRegScaling.\ r17388: Added parameter for input variable scaling for regression problems.

[HeuristicLab-Trac-Bot]

2019-12-20 12:44:28: @mkommend commented

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r17389: Allowed modification of column within transformations.

[HeuristicLab-Trac-Bot]

2019-12-20 13:22:50: djoedick commented

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r17390: Added new implementation for transformation of input variables in KernelRidgeRegressionModel and added helper methods in transformation base class.

[HeuristicLab-Trac-Bot]

2019-12-20 14:00:46: djoedick commented

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r17391: Added transformation of input variables to problem data and created scaled dataset.

[HeuristicLab-Trac-Bot]

2019-12-20 14:03:20: djoedick commented

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Current status: Implementation of a transformation of input variables, creation of scaled dataset in symbolic regression problems using the parameter "Scale Inputs"

Further steps: Use a new dataset for modeling.

[HeuristicLab-Trac-Bot]

2019-12-20 14:03:20: @gkronber

[HeuristicLab-Trac-Bot]

2021-07-13 10:27:34: @gkronber changed status from accepted to reviewing

[HeuristicLab-Trac-Bot]

2021-07-13 10:27:34: @gkronber changed owner from djoedick to @gkronber