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K-Nearest Neighbors Python Library

Project description


K-Nearest Neighbors Python Library

Getting Started

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


This Project Has No Prerequisites


The easiest way to install py4knn is by using pip

pip install py4knn


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')

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