#717 closed defect (done)
SVM regression engine takes a very long time to finish
| Reported by: | gkronber | Owned by: | gkronber |
|---|---|---|---|
| Priority: | low | Milestone: | HeuristicLab 3.3.0 |
| Component: | ZZZ OBSOLETE: SupportVectorMachines | Version: | 3.2 |
| Keywords: | Cc: |
Description
Maybe a better approach would be to use a smaller training set and cross-validation for parameter tuning and then train a final model with the best parameters.
Change History (6)
comment:1 Changed 15 years ago by gkronber
- Status changed from new to assigned
comment:2 Changed 15 years ago by gkronber
comment:3 Changed 15 years ago by gkronber
Reduced the actual training set for SVM from 5000 to 1000 samples to improve the speed of the parameter search with r2251.
comment:4 Changed 15 years ago by gkronber
- Resolution set to fixed
- Status changed from assigned to closed
comment:5 Changed 13 years ago by swagner
- Milestone changed from Iteration 4 to Current
Milestone Iteration 4 deleted
comment:11 Changed 13 years ago by swagner
- Milestone changed from Current to HeuristicLab 3.3.0
Milestone Current deleted
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Changed variable impact calculation operators to use the actual training sub-set instead of the full training set with r2242.