py4knn

K-Nearest Neighbors Python Library

Getting Started

This project is simply an implementation of K-Nearest Neighbors algorithm in python programming language.

Prerequisites

This Project Has No Prerequisites

Installing

The easiest way to install py4knn is by using pip

pip install py4knn

Usage

There is only 1 public method of knn class. It is predict method, it takes 5 argument namely x_train, t_train, x_test, k, and distance calculation method. We provide 6 distances namely euclidean, squared_euclidean, manhattan, canberra, chebyshev, and bray_curtis.

from py4knn.k_nearest_neighbors import knn
classifier = knn()
x_train = [[0.23,0.54],[0.45,1.23],[1.54,0.23],[0.93,0.535]]
t_train = [0,1,0,1]
x_test = [[0.34,0.65],[0.90,0.50]]
y = classifier.predict(x_train,t_train,x_test,1,'euclidean')