setup_RadialSVM: Setup RadialSVM Hyperparameters
In rtemis: Schema-Driven Machine Learning and Visualization
View source: R/070_Hyperparameters.R
setup_RadialSVM R Documentation
Setup RadialSVM Hyperparameters
Description
Setup hyperparameters for RadialSVM training.
Usage
setup_RadialSVM(cost = 1, gamma = 0.01, ifw = FALSE)
Arguments
cost
(Tunable) Numeric (0, Inf): Cost of constraints violation.
gamma
(Tunable) Numeric (0, Inf): Kernel coefficient.
ifw
(Tunable) Logical: If TRUE, use Inverse Frequency Weighting in classification.
Details
Get more information from e1071::svm.
Value
RadialSVMHyperparameters object.
Author(s)
EDG
Examples
radial_svm_hyperparams <- setup_RadialSVM(cost = 10, gamma = 0.1, ifw = TRUE)
radial_svm_hyperparams
rtemis documentation built on Oct. 20, 2026, 1:06 a.m.
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View source: R/070_Hyperparameters.R
| setup_RadialSVM | R Documentation |
Setup RadialSVM Hyperparameters
Description
Setup hyperparameters for RadialSVM training.
Usage
setup_RadialSVM(cost = 1, gamma = 0.01, ifw = FALSE)
Arguments
cost |
(Tunable) Numeric (0, Inf): Cost of constraints violation. |
gamma |
(Tunable) Numeric (0, Inf): Kernel coefficient. |
ifw |
(Tunable) Logical: If TRUE, use Inverse Frequency Weighting in classification. |
Details
Get more information from e1071::svm.
Value
RadialSVMHyperparameters object.
Author(s)
EDG
Examples
radial_svm_hyperparams <- setup_RadialSVM(cost = 10, gamma = 0.1, ifw = TRUE)
radial_svm_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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