Distance_for_KNN_test

is a matrix where the columns are the features of the test set

test_set

is a matrix with the features of the training set

train_set


Distance for KNN Test
The Distance_for_KNN_test returns the distance matrix between the test set and the training set.


Compute labels for a test set according to the k-Nearest Neighbors classification. This is a fast way to do k-Nearest Neighbors classification because the distance matrix -between the features of the observations- is an input to the function rather than being calculated in the function itself every time.

Distance_for_KNN_test: Distance for KNN Test The Distance_for_KNN_test returns the distance matrix between the test set and the training set.

Description

Usage

Arguments

Value

See Also