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parsnip and glmnet for model parameter tuning #105

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ChloeYou opened this issue Jul 19, 2022 · 4 comments · May be fixed by #131
Open

parsnip and glmnet for model parameter tuning #105

ChloeYou opened this issue Jul 19, 2022 · 4 comments · May be fixed by #131
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@ChloeYou

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@ChloeYou
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figure out how to use parsnip+glmnet with a selected tuning parameter (want answer for “how do I use CV”?)
@ChloeYou ChloeYou self-assigned this Jul 19, 2022
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Also look into how cross-validation should be done in this framework. Are there other packages in tidymodels that is helpful?

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These articles use random forests as an example:

There does seem to be tidymodels packages for cross-validation and model tuning and set up to work with the workflows framework.

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ChloeYou commented Aug 29, 2022 •
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  • short vignette for epipredict to see how it fits in the current workflow?

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https://www.tidymodels.org/learn/models/time-series/

@ChloeYou ChloeYou linked a pull request Aug 30, 2022 that will close this issue
105 parameter tuning #131
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@dajmcdon dajmcdon mentioned this issue Oct 14, 2022
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105 parameter tuning cmu-delphi/epipredict
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@ChloeYou