getBestBMRTune: Get the tuning results of the optimal models
In hrvg/RiverML: Machine Learning for River Science
Description
Usage
Arguments
Value
View source: R/ml_post_processing.R
Description
Get the tuning results of the optimal models
Usage
1
getBestBMRTune(BMR_tune, bestFeatureSets)
Arguments
BMR_tune
a data.frame containing the results of the tuning
bestFeatureSets
the optimal selected features for each regions
Value
a data.frame subsetted to correspond to the bestFeatureSets
hrvg/RiverML documentation built on Oct. 12, 2020, 10:40 a.m.
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Description Usage Arguments Value
View source: R/ml_post_processing.R
Description
Get the tuning results of the optimal models
Usage
1 | getBestBMRTune(BMR_tune, bestFeatureSets)
|
Arguments
BMR_tune |
a |
bestFeatureSets |
the optimal selected features for each regions |
Value
a data.frame subsetted to correspond to the bestFeatureSets
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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