渣渣又来了 上图和代码

没有土豆的洋芋

import numpy as np
import matplotlib.pyplot as plt
import sklearn.datasets
import sklearn.linear_model
import sklearn
from utils import plot_decision_boundary




#Generate a dataset and plot it
np.random.seed(0)
X,y=sklearn.datasets.make_moons(200,noise=0.20)
plt.scatter(X[:,0],X[:,1],s=40,c=y,cmap=plt.cm.Spectral)

#Train the logistic rgeression classifier
clf=sklearn.linear_model.LogisticRegressionCV()
clf.fit(X,y)

#PLot the decision boundary
plot_decision_boundary(lambda x: clf.predict(x))
plt.title("logistic regression")
plt.show()


求大神 改错啊

小锟

不太懂untils模块，但是从报错来看，是你导入plot_decision_boundary这个模块没有成功