Comments (4)
I guess it might be cleaner to just have the model not throw an error, but just return an uninitialized array in case of error?
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Hi,
There are some parts of search space where my model will fail to return a usable result, and this triggers a
BoundError
at the prediction step. The parts of search space where this will occur is not clearly defined (and is probabilistic), soclean!
is not applicable. I am wondering how I may wrap the tuning with atry-catch
so that certain errors are simply returned as an infinite loss, rather than breaking the entire tuning and exiting?Thanks! Miles
Can you give an example code snippet.
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I guess it might be cleaner to just have the model not throw an error, but just return an uninitialized array in case of error?
Yeah. You should be able to handle all that during the call to fit.
from mljtuning.jl.
Thanks for the quick response!
After thinking about it more, I may just have the predict
step return an uninitialized array in case of incorrect fits, as it seems something unique to SRRegressor (in case the search can't find a valid expression, for example).
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Related Issues (20)
- Make `RandomSearch` the default, instead of `Grid` HOT 1
- Remove `learning_curve!` which has been deprecated
- Checklist for 0.7.0 release HOT 1
- Allow `TunedModel(mymodel; kwargs....)` in addition to `TunedModel(model=mymodel; kwargs...)`
- `learning_curve` throwing nested task error
- Plotting results of tuning is not working for negative measurements
- Machines wrapping `TunedModel` instances should never cache data
- Allow hyper-parameter tuning for immutable models.
- Improper loss functions silently accepted in training a `TunedModel` HOT 1
- Typo in error message for `TunedModel` missing arguments
- Support Optimization.jl Interface? HOT 1
- Allow Tuples of ranges HOT 1
- Avoid model introspection by requiring users to provide a function that defines a model instance HOT 3
- Add checks in the case of the `Explicit` strategy that all models have the same type of prediction
- Use measures that are not of the form `f(y, yhat)` but `f(fitresult)` HOT 7
- Implement transform?
- Overload `save`/`restore` to fix serialisation when atomic model has ephemeral fitresult
- Remove redundant keys in history entries
- Broken link (404) for each dependent link of the site https://alan-turing-institute.github.io HOT 2
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