getMetaFeatures: Meta-Feature Description
In nunompmoniz/autoresampling: Automated Resampling Strategies for Imbalanced Learning
Description
Usage
Arguments
Value
Examples
Description
Provides anextensive description of a data set based on the extraction of meta-features
Usage
1
getMetaFeatures(ds, form, numCores = 1)
Arguments
ds
A data set
form
A model formula
numCores
number of cores for parallel computing
Value
A vector of meta-features describing the data set
Examples
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## Not run:
library(mlbench)
data(PimaIndiansDiabetes)
form <- diabetes ~ .
getMetaFeatures(PimaIndiansDiabetes,form)
## End(Not run)
nunompmoniz/autoresampling documentation built on April 26, 2021, 4:43 a.m.
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Description Usage Arguments Value Examples
Description
Provides anextensive description of a data set based on the extraction of meta-features
Usage
1 | getMetaFeatures(ds, form, numCores = 1)
|
Arguments
ds |
A data set |
form |
A model formula |
numCores |
number of cores for parallel computing |
Value
A vector of meta-features describing the data set
Examples
1 2 3 4 5 6 7 8 9 10 11 12 | ## Not run:
library(mlbench)
data(PimaIndiansDiabetes)
form <- diabetes ~ .
getMetaFeatures(PimaIndiansDiabetes,form)
## End(Not run)
|
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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