foldsComposition: Setting up the Cross Validation
In DiceEval: Construction and Evaluation of Metamodels
View source: R/crossValidation.R
foldsComposition R Documentation
Setting up the Cross Validation
Description
Randomly partitioning the data into folders
Usage
foldsComposition(n, K)
Arguments
n
number of observations
K
number of classes
Value
a vector v of length n with v[i] = the class of observation
i.
Author(s)
D. Dupuy
See Also
crossValidation
DiceEval documentation built on May 29, 2024, 10:56 a.m.
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View source: R/crossValidation.R
| foldsComposition | R Documentation |
Setting up the Cross Validation
Description
Randomly partitioning the data into folders
Usage
foldsComposition(n, K)
Arguments
n |
number of observations |
K |
number of classes |
Value
a vector v of length n with v[i] = the class of observation
i.
Author(s)
D. Dupuy
See Also
crossValidation
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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