gpe_cv.glmnet: Default penalized trainer for gpe
In marjoleinF/pre: Prediction Rule Ensembles
gpe_cv.glmnet R Documentation
Default penalized trainer for gpe
Description
Default "penalizer function" generator gpe which uses cv.glmnet.
Usage
gpe_cv.glmnet(...)
Arguments
...
arguments to cv.glmnet. x, y, weights and family will not be used.
Value
Returns a function with formal arguments x, y, weights, family and returns a fit object.
See Also
gpe
marjoleinF/pre documentation built on June 15, 2025, 1:21 a.m.
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| gpe_cv.glmnet | R Documentation |
Default penalized trainer for gpe
Description
Default "penalizer function" generator gpe which uses cv.glmnet.
Usage
gpe_cv.glmnet(...)
Arguments
... |
arguments to |
Value
Returns a function with formal arguments x, y, weights, family and returns a fit object.
See Also
gpe
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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