getBMRTuningEntropy: Compute the tuning entropy
In hrvg/RiverML: Machine Learning for River Science
Description
Usage
Arguments
Value
View source: R/ml_post_processing.R
Description
Compute the tuning entropy
Usage
1
2
3
4
5
getBMRTuningEntropy(
BMR_tune,
TUNELENGTH,
maxH_nnTrain = sum(sapply(c(5, 7, 5, 3, 5, 3, 3), log2))
)
Arguments
BMR_tune
a data.frame containing the results of the tuning
TUNELENGTH
numeric, tuning length
maxH_nnTrain
numeric the maximum value for entropy for the nnTrain learner
Value
a data.frame
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
Compute the tuning entropy
Usage
1 2 3 4 5 | getBMRTuningEntropy(
BMR_tune,
TUNELENGTH,
maxH_nnTrain = sum(sapply(c(5, 7, 5, 3, 5, 3, 3), log2))
)
|
Arguments
BMR_tune |
a |
TUNELENGTH |
|
maxH_nnTrain |
|
Value
a data.frame
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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