MAINT: raise error is no partial_fit in hyperparameter search #840
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mrocklin
reviewed
Jun 1, 2021
| "requirement for doing incremental hyperparameter " | ||
| "optimization. For more detail, see\n\n" | ||
| " https://ml.dask.org/hyper-parameter-search.html#hyperparameter-scaling" | ||
| ) |
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Hooray for informative error messages!
Co-authored-by: Matthew Rocklin <[email protected]>
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In ba8b4fe, I tried to make the header more informative. Now it reads
I think we should more clearly expose the tradeoffs of hyperparameter searches. Give me a while on that. I'm trying to resolve #838 (comment). I think it wouldn't be a bad idea to have a summary table. |
…/dask-ml into hyperparam-compat-docs
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What does this PR implement?
It raises an error if a model is passed to an incremental hyperparameter optimization that doesn't support
partial_fit. It points to https://ml.dask.org/hyper-parameter-search.html#hyperparameter-scaling.It also tests to make sure that a passive search like
RandomizedSearchCVworks.Reference issues/PRs
This resolves #839. It doesn't solve the issue, but it makes the error more clear.