getParamSet: Get a description of all possible parameter settings for a...
In mlr-org/mlr: Machine Learning in R
getParamSet R Documentation
Get a description of all possible parameter settings for a learner.
Description
Returns the ParamHelpers::ParamSet from a Learner.
Value
ParamSet.
See Also
Other learner:
LearnerProperties,
getClassWeightParam(),
getHyperPars(),
getLearnerId(),
getLearnerNote(),
getLearnerPackages(),
getLearnerParVals(),
getLearnerParamSet(),
getLearnerPredictType(),
getLearnerShortName(),
getLearnerType(),
helpLearnerParam(),
helpLearner(),
makeLearners(),
makeLearner(),
removeHyperPars(),
setHyperPars(),
setId(),
setLearnerId(),
setPredictThreshold(),
setPredictType()
mlr-org/mlr documentation built on Jan. 12, 2023, 5:16 a.m.
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| getParamSet | R Documentation |
Get a description of all possible parameter settings for a learner.
Description
Returns the ParamHelpers::ParamSet from a Learner.
Value
ParamSet.
See Also
Other learner:
LearnerProperties,
getClassWeightParam(),
getHyperPars(),
getLearnerId(),
getLearnerNote(),
getLearnerPackages(),
getLearnerParVals(),
getLearnerParamSet(),
getLearnerPredictType(),
getLearnerShortName(),
getLearnerType(),
helpLearnerParam(),
helpLearner(),
makeLearners(),
makeLearner(),
removeHyperPars(),
setHyperPars(),
setId(),
setLearnerId(),
setPredictThreshold(),
setPredictType()
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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