Opened 5 years ago
Last modified 3 years ago
#3044 reviewing enhancement
Add scaling of input features
| Reported by: | djoedick | Owned by: | gkronber |
|---|---|---|---|
| Priority: | medium | Milestone: | HeuristicLab 3.3.17 |
| Component: | Problems.DataAnalysis | Version: | branch |
| Keywords: | Cc: |
Description
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.
Change History (8)
comment:1 Changed 5 years ago by mkommend
- Component changed from ### Undefined ### to Problems.DataAnalysis
comment:2 Changed 5 years ago by djoedick
- Status changed from new to accepted
comment:3 Changed 5 years ago by djoedick
comment:4 Changed 5 years ago by mkommend
r17389: Allowed modification of column within transformations.
comment:5 Changed 5 years ago by djoedick
r17390: Added new implementation for transformation of input variables in KernelRidgeRegressionModel and added helper methods in transformation base class.
comment:6 Changed 5 years ago by djoedick
r17391: Added transformation of input variables to problem data and created scaled dataset.
comment:7 Changed 5 years ago by djoedick
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.
comment:8 Changed 3 years ago by gkronber
- Owner changed from djoedick to gkronber
- Status changed from accepted to reviewing
r17387: Created new branch for SymRegScaling.
r17388: Added parameter for input variable scaling for regression problems.