knn-python

A simple k-nearest neighbors (KNN) classifier algorithm implementation in python.

Usage

initialize knn instance

_knn = knn(k=8, distanceFunc=manhatten)

fit model with trainingsdata

_knn.fit(trainData,trainLabels)

predicts labels for a given list of samples

predictions = _knn.predict(samples)

test model with testdata

score = _knn.score(testData,testLabels)

Requirements

install requirements with: pip install -r requirements.txt

• sklearn
• numpy
• matplotlib