setup_GAM: Setup GAM Hyperparameters
In rtemis: Schema-Driven Machine Learning and Visualization
View source: R/070_Hyperparameters.R
setup_GAM R Documentation
Setup GAM Hyperparameters
Description
Setup hyperparameters for GAM training.
Usage
setup_GAM(k = 5L, ifw = FALSE)
Arguments
k
(Tunable) Integer [1, Inf): Number of knots.
ifw
(Tunable) Logical: If TRUE, use Inverse Frequency Weighting in classification.
Details
Get more information from mgcv::gam.
Value
GAMHyperparameters object.
Author(s)
EDG
Examples
gam_hyperparams <- setup_GAM(k = 5L, ifw = FALSE)
gam_hyperparams
rtemis documentation built on Oct. 20, 2026, 1:06 a.m.
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View source: R/070_Hyperparameters.R
| setup_GAM | R Documentation |
Setup GAM Hyperparameters
Description
Setup hyperparameters for GAM training.
Usage
setup_GAM(k = 5L, ifw = FALSE)
Arguments
k |
(Tunable) Integer [1, Inf): Number of knots. |
ifw |
(Tunable) Logical: If TRUE, use Inverse Frequency Weighting in classification. |
Details
Get more information from mgcv::gam.
Value
GAMHyperparameters object.
Author(s)
EDG
Examples
gam_hyperparams <- setup_GAM(k = 5L, ifw = FALSE)
gam_hyperparams
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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