setup_GAM: Setup GAM Hyperparameters
In egenn/rtemis: Machine Learning and Visualization
View source: R/01_S7_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: 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
egenn/rtemis documentation built on June 14, 2025, 11:54 p.m.
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View source: R/01_S7_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: 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
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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