Opened 8 years ago
Last modified 7 years ago
#2678 new enhancement
Simplify specification of kernels for Gaussian processes
| Reported by: | gkronber | Owned by: | |
|---|---|---|---|
| Priority: | lowest | Milestone: | HeuristicLab 4.x Backlog |
| Component: | Algorithms.DataAnalysis | Version: | 3.3.14 |
| Keywords: | Cc: |
Description
It is currently quite cumbersome to specify the kernel function for Gaussian process regression. The current implementation is closely related to the GPML implementation.
Instead we could also use our existing framework for symbolic expressions and AutoDiff to parse the expression for the kernel.
Change History (3)
comment:1 Changed 8 years ago by gkronber
- Priority changed from medium to lowest
- Version changed from 3.3.14 to 4.0
comment:2 Changed 8 years ago by gkronber
- Milestone changed from HeuristicLab 3.3.15 to HeuristicLab 3.3.x Backlog
- Version changed from 4.0 to 3.3.14
comment:3 Changed 7 years ago by gkronber
- Milestone changed from HeuristicLab 3.3.x Backlog to HeuristicLab 4.x Backlog
Note: See
TracTickets for help on using
tickets.
