getTuneResult: Returns the optimal hyperparameters and optimization path...
In riebetob/mlr: Machine Learning in R
Description
Usage
Arguments
Value
See Also
View source: R/getTuneResult.R
Description
Returns the optimal hyperparameters and optimization path after training.
Usage
1
getTuneResult(object)
Arguments
object
[WrappedModel]
Trained Model created with makeTuneWrapper.
Value
[TuneResult].
See Also
Other tune: TuneControl,
getNestedTuneResultsOptPathDf,
getNestedTuneResultsX,
makeModelMultiplexerParamSet,
makeModelMultiplexer,
makeTuneControlCMAES,
makeTuneControlDesign,
makeTuneControlGenSA,
makeTuneControlGrid,
makeTuneControlIrace,
makeTuneControlMBO,
makeTuneControlRandom,
makeTuneWrapper, tuneParams,
tuneThreshold
riebetob/mlr documentation built on May 20, 2019, 5:58 p.m.
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Description Usage Arguments Value See Also
View source: R/getTuneResult.R
Description
Returns the optimal hyperparameters and optimization path after training.
Usage
1 | getTuneResult(object)
|
Arguments
object |
[ |
Value
[TuneResult].
See Also
Other tune: TuneControl,
getNestedTuneResultsOptPathDf,
getNestedTuneResultsX,
makeModelMultiplexerParamSet,
makeModelMultiplexer,
makeTuneControlCMAES,
makeTuneControlDesign,
makeTuneControlGenSA,
makeTuneControlGrid,
makeTuneControlIrace,
makeTuneControlMBO,
makeTuneControlRandom,
makeTuneWrapper, tuneParams,
tuneThreshold
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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