setup_GLM: Setup GLM Hyperparameters
In rtemis: Schema-Driven Machine Learning and Visualization
View source: R/070_Hyperparameters.R
setup_GLM R Documentation
Setup GLM Hyperparameters
Description
Setup hyperparameters for GLM training.
Usage
setup_GLM(ifw = FALSE)
Arguments
ifw
(Tunable) Logical: If TRUE, use Inverse Frequency Weighting in classification.
Value
GLMHyperparameters object.
Author(s)
EDG
Examples
glm_hyperparams <- setup_GLM(ifw = TRUE)
glm_hyperparams
rtemis documentation built on Oct. 20, 2026, 1:06 a.m.
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View source: R/070_Hyperparameters.R
| setup_GLM | R Documentation |
Setup GLM Hyperparameters
Description
Setup hyperparameters for GLM training.
Usage
setup_GLM(ifw = FALSE)
Arguments
ifw |
(Tunable) Logical: If TRUE, use Inverse Frequency Weighting in classification. |
Value
GLMHyperparameters object.
Author(s)
EDG
Examples
glm_hyperparams <- setup_GLM(ifw = TRUE)
glm_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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