Opened 8 years ago
Closed 8 years ago
#2652 closed defect (done)
Scaling of variable values is missing for k-nearest neighbors models
| Reported by: | gkronber | Owned by: | gkronber |
|---|---|---|---|
| Priority: | medium | Milestone: | HeuristicLab 3.3.15 |
| Component: | Algorithms.DataAnalysis | Version: | 3.3.14 |
| Keywords: | Cc: |
Description (last modified by gkronber)
Input variables are not scaled and it is not possible to specify different weigths for different features explicitly.
Scaling should be added (same scaling factors for training/test) and an optional parameter for feature weights should be added.
Change History (7)
comment:1 Changed 8 years ago by gkronber
- Description modified (diff)
- Summary changed from Scaling of variable values is inconsistent for k-nearest neighbors models to Scaling of variable values is missing for k-nearest neighbors models
comment:2 Changed 8 years ago by gkronber
comment:3 Changed 8 years ago by gkronber
- Status changed from new to accepted
comment:4 Changed 8 years ago by gkronber
- Owner changed from gkronber to mkommend
- Status changed from accepted to reviewing
comment:5 Changed 8 years ago by mkommend
- Owner changed from mkommend to gkronber
- Status changed from reviewing to readytorelease
Reviewed and tested r14235 (could not test backwards compatibility). Everything looks good.
comment:6 Changed 8 years ago by gkronber
comment:7 Changed 8 years ago by gkronber
- Resolution set to done
- Status changed from readytorelease to closed
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r14235: added scaling and optional specification of feature-weights for kNN