k最近邻ML的程序
import numpy as np
import math
import matplotlib.pyplot as plt
from matplotlib import style
from collections import Counter
dataset={'k':[[1,2],[2,3],[3,1]], 'r':[[6,5],[7,7],[8,6]]}
new_features=[5,7]
def k_nearest_neigh(data,predict,k=3):
distances = []
if len(data)>=k:
warnings.warn('jerk')
for group in data:
for features in data[group]:
eu_dist=np.linalg.norm(np.array(features)-np.array(predict))
distances.append([eu_dist,group])
print(distances)
votes=[i[1] for i in sorted(distances)[:k]]
print(Counter(votes).most_common(1))
vote_result=Counter(votes).most_common(1)[0][0]
return vote_result
result=k_nearest_neigh(dataset,new_features,k=3)
print(result)
程序抛出错误
line 32, in k_nearest_neigh
vote_result=Counter(votes).most_common(1)[0][0]
IndexError: list index out of range
多次尝试不同的方式和方法,但错误是持久的。
答案 0 :(得分:0)
你的缩进是关闭的:你应该警告或运行循环。这是一个版本,你可以解决这个问题:
def k_nearest_neigh(data,predict,k=3):
if len(data)>=k:
warnings.warn('jerk')
return
distances = []
for group in data: # do this whenever you issue no warning.
....