get_smote_data: Resolve the class imbalance using the SMOTE algorithm
In hrvg/RiverML: Machine Learning for River Science
Description
Usage
Arguments
Value
View source: R/ml_data_transformation.R
Description
This function is wrapped around resolve_class_imbalance().
Usage
1
get_smote_data(training_data, seed_preproc)
Arguments
training_data
a named list with two elements data and labels
seed_preproc
numeric seed for set.seed() to reproduce results
Value
a list with two elements data and labels
hrvg/RiverML documentation built on Oct. 12, 2020, 10:40 a.m.
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Description Usage Arguments Value
View source: R/ml_data_transformation.R
Description
This function is wrapped around resolve_class_imbalance().
Usage
1 | get_smote_data(training_data, seed_preproc)
|
Arguments
training_data |
a named list with two elements |
seed_preproc |
|
Value
a list with two elements data and labels
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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