Opened 8 years ago
Closed 7 years ago
#2660 closed enhancement (done)
Extend VariableNetworkInstances to include problems with no noise and to calculate actual variable relevance
Reported by: | bburlacu | Owned by: | gkronber |
---|---|---|---|
Priority: | medium | Milestone: | HeuristicLab 3.3.15 |
Component: | Problems.Instances | Version: | 3.3.14 |
Keywords: | Cc: |
Description
It should also be possible to use VariableNetwork problem instances with zero noise. Additionally, the problem descriptions could be improved such that variable descriptions are ordered alphabetically.
Change History (18)
comment:1 Changed 8 years ago by bburlacu
- Owner set to bburlacu
- Status changed from new to accepted
comment:2 Changed 8 years ago by bburlacu
- Owner changed from bburlacu to gkronber
- Status changed from accepted to reviewing
comment:3 Changed 8 years ago by gkronber
r14271: slightly refactored VariableNetwork instance and added calculation of variable relevance
comment:4 Changed 8 years ago by gkronber
- Status changed from reviewing to assigned
- Summary changed from Extend VariableNetworkInstances to include problems with no noise to Extend VariableNetworkInstances to include problems with no noise and to calculate actual variable relevance
comment:5 Changed 8 years ago by gkronber
The variable relevance measure introduced with r14271 does not completely match our definition of variable relevance. The variable relevance calculation should therefore be adapted.
comment:6 Changed 8 years ago by gkronber
r14291: changed calculation of variable relevance values for variable interaction networks based on sampling Gaussian processes.
Instead of taking inverse length scale (ARD). We calculate the deviation from the original function (y) after individual variables are removed (y').
comment:7 Changed 8 years ago by gkronber
- Owner changed from gkronber to bburlacu
- Status changed from assigned to reviewing
comment:8 follow-up: ↓ 10 Changed 8 years ago by gkronber
- Owner changed from bburlacu to gkronber
- Status changed from reviewing to assigned
The current variable relevance calculation does not consider relevances of indirectly dependent variables.
comment:9 Changed 8 years ago by gkronber
- Status changed from assigned to accepted
comment:10 in reply to: ↑ 8 Changed 8 years ago by gkronber
Replying to gkronber:
The current variable relevance calculation does not consider relevances of indirectly dependent variables.
This is in fact the correct approach.
When we sample data form the network we also observe statistical dependencies to other - indirectly related - variables. However, these indirect dependencies should not be considered as actual dependencies within the network (indirectly connected variables are conditionally independent).
comment:11 Changed 8 years ago by gkronber
r14623: removed obsolete comment
comment:12 Changed 7 years ago by gkronber
r14630: introduced base class for variable network instance description and implemented GPR and linear variable networks as specific classes
comment:13 Changed 7 years ago by gkronber
- Owner changed from gkronber to mkommend
- Status changed from accepted to reviewing
comment:14 Changed 7 years ago by mkommend
comment:15 Changed 7 years ago by mkommend
- Owner changed from mkommend to gkronber
- Status changed from reviewing to readytorelease
comment:16 Changed 7 years ago by gkronber
r15194: added reference publication for variable network instances
comment:17 Changed 7 years ago by gkronber
comment:18 Changed 7 years ago by gkronber
- Resolution set to done
- Status changed from readytorelease to closed
r14260: Include instances with no noise. Improve formatting of problem description.