set_hparams_glmnet: Set hyperparameters for regression models for use with glmnet
In mikropml: User-Friendly R Package for Supervised Machine Learning Pipelines
View source: R/hyperparameters.R
set_hparams_glmnet R Documentation
Set hyperparameters for regression models for use with glmnet
Description
Alpha is set to 0 for ridge (L2). An alpha of 1 would make it lasso (L1).
Usage
set_hparams_glmnet()
Value
default lambda & alpha values
Author(s)
Zena Lapp, zenalapp@umich.edu
mikropml documentation built on Aug. 21, 2023, 5:10 p.m.
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View source: R/hyperparameters.R
| set_hparams_glmnet | R Documentation |
Set hyperparameters for regression models for use with glmnet
Description
Alpha is set to 0 for ridge (L2). An alpha of 1 would make it lasso (L1).
Usage
set_hparams_glmnet()
Value
default lambda & alpha values
Author(s)
Zena Lapp, zenalapp@umich.edu
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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