sklearn.neighbors.KNeighborsClassifier源码笔记

class sklearn.neighbors.KNeighborsClassifier(n_neighbors=5,weights=’uniform’,algorithm=’auto’,leaf_size=30,p=2,metric=’minkowski’,metric_params=None,n_jobs=1,**kwargs)

Examples

>

X = [[0], [1], [2], [3]]
y = [0, 0, 1, 1]
from sklearn.neighbors import KNeighborsClassifier
neigh = KNeighborsClassifier(n_neighbors=3)
neigh.fit(X, y)
KNeighborsClassifier(…)
print(neigh.predict([[1.1]]))
[0]
print(neigh.predict_proba([[0.9]]))
[[ 0.66666667 0.33333333]]

有训练集，由X,y组成，用于预测。区别于NearsetNeighbors