sklearn K-means聚类时，fit的时候报错 'ascii' codec can't encode characters in position 18-20: ordinal not in range(128)

Question

from sklearn.datasets import load_iris
import xlwt
import pandas as pd
from sklearn.cluster import KMeans
from sklearn.preprocessing import MinMaxScaler

iris=load_iris()
iris_data=iris['data']
iris_target=iris['target']
iris_names=iris['feature_names']

scale=MinMaxScaler().fit(iris_data)
iris_datascale=scale.transform(iris_data)

model=KMeans(n_clusters=3,random_state=123,n_jobs=4)
model.fit(iris_datascale)

在model.fit(iris_datascale) 的时候报错
'ascii' codec can't encode characters in position 18-20: ordinal not in range(128)

我试过换不同的数据集，都是报同一个错，这该怎么解决呢？

Answer 1

亲测把n_jobs参数删掉就行了、、、也不知道什么原理、、