kfold_crossvalidation: K-Fold Cross-Validation
In dsnavega/grnnet: Generalized Regression Neural Network
Description
Usage
Arguments
Value
Description
Helper function to perform K-Fold Cross-Validation
Usage
1
kfold_crossvalidation(n, k = 5, seed = NULL)
Arguments
n
number of training examples
k
number of folds. Default is 5
seed
seed for the pseudo-random number generator
Value
a matrix of logical vectors defining observations in each fold.
dsnavega/grnnet documentation built on May 9, 2019, 5 a.m.
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Description Usage Arguments Value
Description
Helper function to perform K-Fold Cross-Validation
Usage
1 | kfold_crossvalidation(n, k = 5, seed = NULL)
|
Arguments
n |
number of training examples |
k |
number of folds. Default is 5 |
seed |
seed for the pseudo-random number generator |
Value
a matrix of logical vectors defining observations in each fold.
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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