balanced.cv.folds: Create balanced folds for cross validation
In averissimo/verissimo-rpackage: A lot of generic functions that can be reused
Description
Usage
Arguments
Value
Examples
Description
Create balanced folds for cross validation
Usage
1
balanced.cv.folds(..., nfolds = 10)
Arguments
...
vectors representing data
nfolds
number of folds to be created
Value
list with given input, nfolds and result. The result is a list matching the input with foldid attributed to each position.
Examples
1
2
3
balanced.cv.folds(1:10, 11:15, nfolds = 2)
balanced.cv.folds(1:10, 11:13, nfolds = 10) # will give a warning
balanced.cv.folds(1:100, 101:133, nfolds = 10)
averissimo/verissimo-rpackage documentation built on May 11, 2019, 4:07 p.m.
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Description Usage Arguments Value Examples
Description
Create balanced folds for cross validation
Usage
1 | balanced.cv.folds(..., nfolds = 10)
|
Arguments
... |
vectors representing data |
nfolds |
number of folds to be created |
Value
list with given input, nfolds and result. The result is a list matching the input with foldid attributed to each position.
Examples
1 2 3 | balanced.cv.folds(1:10, 11:15, nfolds = 2)
balanced.cv.folds(1:10, 11:13, nfolds = 10) # will give a warning
balanced.cv.folds(1:100, 101:133, nfolds = 10)
|
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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