select_cv_balanced: Balanced training/test set selection for crossvalidation.
In bootfs: Derive Robust Feature Sets for Two or Multiclass Classification Problems
Description
Usage
Arguments
Details
Value
Author(s)
Description
Balanced training/test set selection for crossvalidation.
Usage
1
select_cv_balanced(yp, ncv, verbose=FALSE)
Arguments
yp
The grouping.
ncv
Number of folds.
verbose
Boolean. If TRUE print some informational messages.
Details
Balanced training and test set selection.
Value
The training and test sets.
Author(s)
Christian Bender (christian.bender@tron-mainz.de)
bootfs documentation built on May 2, 2019, 5:50 p.m.
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Description Usage Arguments Details Value Author(s)
Description
Balanced training/test set selection for crossvalidation.
Usage
1 | select_cv_balanced(yp, ncv, verbose=FALSE)
|
Arguments
yp |
The grouping. |
ncv |
Number of folds. |
verbose |
Boolean. If TRUE print some informational messages. |
Details
Balanced training and test set selection.
Value
The training and test sets.
Author(s)
Christian Bender (christian.bender@tron-mainz.de)
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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