slim: Slim nestedcv models
In nestedcv: Nested Cross-Validation with 'glmnet' and 'caret'
slim R Documentation
Slim nestedcv models
Description
Slims nestedcv objects to only the models in the outer CV folds.
Usage
slim(x)
Arguments
x
A 'nestedcv' or 'cva.glmnet' fitted model object.
Value
For 'nestedcv' objects, a list object of the same class but only
containing outer_result. For 'cva.glmnet' models, only the cv.glmnet
model with the best alpha value is kept. Models for all other values of
alpha are discarded.
See Also
nestcv.glmnet() nestcv.train() outercv() cva.glmnet()
nestedcv documentation built on April 4, 2025, 2:21 a.m.
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| slim | R Documentation |
Slim nestedcv models
Description
Slims nestedcv objects to only the models in the outer CV folds.
Usage
slim(x)
Arguments
x |
A 'nestedcv' or 'cva.glmnet' fitted model object. |
Value
For 'nestedcv' objects, a list object of the same class but only
containing outer_result. For 'cva.glmnet' models, only the cv.glmnet
model with the best alpha value is kept. Models for all other values of
alpha are discarded.
See Also
nestcv.glmnet() nestcv.train() outercv() cva.glmnet()
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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