py4pnn
Pseudo Nearest Neighbors Python Library
Getting Started
This project is simply implementation of Pseudo Nearest Neighbors algorithm in python programming language.
Prerequisites
This Project Has No Prerequisites
Installing
The easiest way to install py4pnn is using pip
pip install py4pnn
Usage
There is only 1 public method of pnn class. It is predict method, it takes 5 argument namely x_train, t_train, x_test, k, and distance calculation method. We provide 6 distance namely euclidean, squared_euclidean, manhattan, canberra, chebyshev, and bray_curtis.
from py4pnn.p_nearest_neighbors import pnn
classifier = pnn()
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')
1 maintainer
Metadata
1 maintainer
Release files for py4pnn 0.0.3
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