nn_experiment: Investigate how quickly a k-nearest-neighbor classifier...

In tfglynn/sdsu-research-code: What the package does (short line)

Description

Investigate how quickly a k-nearest-neighbor classifier reaches capacity

Usage

nn_experiment(dims, be, reps = 50, seed = 2021)

Arguments

dims	the number of dimensions used to determine the class
be	the Bayes optimal classifier error
reps	the number of times to repeat the experiment
seed	random seed

Value

a list where the nth item is a vector of accuracies of models given n * 500 training examples

tfglynn/sdsu-research-code documentation built on Jan. 31, 2022, 12:04 a.m.