rs.ImpSamp: Importance Sampling
In nunompmoniz/autoresampling: Automated Resampling Strategies for Imbalanced Learning
Description
Usage
Arguments
Value
View source: R/ResamplingStrategies.R
Description
Importance Sampling
Usage
1
rs.ImpSamp(form, train, und.perc = 1, ove.perc = 0, ...)
Arguments
form
A model formula
train
A data.frame object with the training data
und.perc
Undersampling percentage for the majority class (default is 1)
ove.perc
Oversampling percentage for the minority class (default is 1)
...
Additional parameters for the resampling strategy
Value
New data set
nunompmoniz/autoresampling documentation built on April 26, 2021, 4:43 a.m.
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Description Usage Arguments Value
View source: R/ResamplingStrategies.R
Description
Importance Sampling
Usage
1 | rs.ImpSamp(form, train, und.perc = 1, ove.perc = 0, ...)
|
Arguments
form |
A model formula |
train |
A data.frame object with the training data |
und.perc |
Undersampling percentage for the majority class (default is 1) |
ove.perc |
Oversampling percentage for the minority class (default is 1) |
... |
Additional parameters for the resampling strategy |
Value
New data set
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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