#693 closed defect (done)
SVMs should not learn on rows where the target variable is nan
| Reported by: | mkommend | Owned by: | mkommend |
|---|---|---|---|
| Priority: | medium | Milestone: | HeuristicLab 3.3.0 |
| Component: | ZZZ OBSOLETE: SupportVectorMachines | Version: | 3.2 |
| Keywords: | Cc: |
Description
During the creation of the dataset it is possible that a specified target variable is null. LibSVM is not able to handle these null values and so the rows must be skipped respectively should not be include in the SVM problem.
Change History (5)
comment:1 Changed 15 years ago by mkommend
- Owner changed from gkronber to mkommend
- Status changed from new to assigned
comment:2 Changed 15 years ago by mkommend
comment:3 Changed 15 years ago by mkommend
- Resolution set to fixed
- Status changed from assigned to closed
comment:4 Changed 14 years ago by swagner
- Milestone changed from Iteration 4 to Current
Milestone Iteration 4 deleted
comment:11 Changed 14 years ago by swagner
- Milestone changed from Current to HeuristicLab 3.3.0
Milestone Current deleted
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ignored dataset rows where the target variable is nan during !SVM learning r2148