CliMA / CliMA/CalibrateEmulateSample.jl
RF localisation causes singularity issues
- Dominant language
- Julia
- Stars
- 90
- Forks
- 16
- PR merge metrics
- No merged PRs in 30d
Description
## issue
During optimization of RF hyperparameters, one of the loss function entries was zero-d out (a hack fix to remove this item).
It does not outwardly effect the calibration. But this causes ensembles in the optimisation algorithm to have a 0-uncertainty row, which causes an issue with the localisation algorithms that often invert the variance/covariance.
## Solution
Remove the item from the loss function&data instead of simply zeroing it out.
Contributor guide
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Research direction
Start by tracing where RF hyperparameter optimization constructs the loss function and data, then follow the localisation code that inverts variance or covariance. The issue is done when the affected item is removed from the loss function and data rather than zeroed, so ensembles no longer contain a zero-uncertainty row.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 42/100