setHyperPars: Set the hyperparameters of a learner object.
In Najah-lshanableh/R-data-mining2: Machine Learning in R

Description Usage Arguments Value Note See Also Examples

Set the hyperparameters of a learner object.

1	setHyperPars(learner, ..., par.vals = list())

`learner`	[`Learner` \| `character(1)`] The learner. If you pass a string the learner will be created via `makeLearner`.
`...`	[any] Named (hyper)parameters with new setting. Alternatively these can be passed using the `par.vals` argument.
`par.vals`	[`list`] Optional list of named (hyper)parameter settings. The arguments in `...` take precedence over values in this list.

[Learner].

If a named (hyper)parameter can't be found for the given learner, the 3 closest (hyper)parameter names will be output in case the user mistyped.

Other learner: LearnerProperties, getClassWeightParam, getHyperPars, getLearnerId, getLearnerPackages, getLearnerParVals, getLearnerParamSet, getLearnerPredictType, getLearnerShortName, getLearnerType, getParamSet, helpLearnerParam, helpLearner, makeLearners, makeLearner, removeHyperPars, setId, setLearnerId, setPredictThreshold, setPredictType

cl1 = makeLearner("classif.ksvm", sigma = 1)
cl2 = setHyperPars(cl1, sigma = 10, par.vals = list(C = 2))
print(cl1)
# note the now set and altered hyperparameters:
print(cl2)