my_knn_cv: K-nearest Neighbors Cross Validation Function
In carldmyers/PROJECT3: What the Package Does (One Line, Title Case)

This function predicts output using covaritates.

1	my_knn_cv(train, cl, k_nn, k_cv)

`train`	A data frame to input.
`cl`	It is a true value of my training data.
`k_nn`	An integer that represents the number of neighbors.
`k_cv`	An integer that represents the number of folds.

The function will output a list of objects.

1 2	my_knn_cv(train = iris [, -5], cl = iris$Species, 1, 5) my_knn_cv(train = iris [, -5], cl = iris$Species, 5, 5)

carldmyers/PROJECT3 documentation built on March 25, 2020, 12:11 a.m.

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