my_knn_cv: my_knn_cv
In andreyrisukhin/STAT302package: Package Building Demonstration
Description
Usage
Arguments
Value
Examples
Description
This function performs a k-Nearest Neighbors Cross-Validation in R
Usage
1
my_knn_cv(train, cl, k_nn, k_cv)
Arguments
train
Input data frame to be validated
cl
true class value of the training data
k_nn
integer representing the number of neighbors
k_cv
integer representing the number of folds
Value
a list with objects output .
Examples
1
2
my_knn_cv(train = na.omit(STAT302package::my_penguins)[, 3:6]
, cl = na.omit(STAT302package::my_penguins)$species, k_nn = 5, k_cv = 5)
andreyrisukhin/STAT302package documentation built on Dec. 19, 2021, 3:34 a.m.
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Description Usage Arguments Value Examples
Description
This function performs a k-Nearest Neighbors Cross-Validation in R
Usage
1 | my_knn_cv(train, cl, k_nn, k_cv)
|
Arguments
train |
Input data frame to be validated |
cl |
true class value of the training data |
k_nn |
integer representing the number of neighbors |
k_cv |
integer representing the number of folds |
Value
a list with objects output .
Examples
1 2 | my_knn_cv(train = na.omit(STAT302package::my_penguins)[, 3:6]
, cl = na.omit(STAT302package::my_penguins)$species, k_nn = 5, k_cv = 5)
|
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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