getParamSet: Get a description of all possible parameter settings for a...
In riebetob/mlr: Machine Learning in R
Description
Returns the ParamSet from a Learner.
Value
[ParamSet].
See Also
Other learner: LearnerProperties,
getClassWeightParam,
getHyperPars, getLearnerId,
getLearnerPackages,
getLearnerParVals,
getLearnerParamSet,
getLearnerPredictType,
getLearnerShortName,
getLearnerType,
helpLearnerParam,
helpLearner, makeLearners,
makeLearner, removeHyperPars,
setHyperPars, setId,
setLearnerId,
setPredictThreshold,
setPredictType
riebetob/mlr documentation built on May 20, 2019, 5:58 p.m.
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Description
Returns the ParamSet from a Learner.
Value
[ParamSet].
See Also
Other learner: LearnerProperties,
getClassWeightParam,
getHyperPars, getLearnerId,
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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