getBestBMRTuningEntropy: Get the tuning entropy corresponding to the optimal models
In hrvg/RiverML: Machine Learning for River Science
Description
Get the tuning entropy corresponding to the optimal models
Usage
1
getBestBMRTuningEntropy(BMR_lrnH, bestFeatureSets, bestBMR_tune)
Arguments
BMR_lrnH
a data.frame generated with getBMRTuningEntropy()
bestFeatureSets
the optimal selected features for each regions
bestBMR_tune
a data.frame containing the results of the tuning for optimal models
hrvg/RiverML documentation built on Oct. 12, 2020, 10:40 a.m.
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Description
Get the tuning entropy corresponding to the optimal models
Usage
1 | getBestBMRTuningEntropy(BMR_lrnH, bestFeatureSets, bestBMR_tune)
|
Arguments
BMR_lrnH |
a |
bestFeatureSets |
the optimal selected features for each regions |
bestBMR_tune |
a |
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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