AttributeError:模块“numpy”没有属性“testing”

Question

上周，我可以用python3.7.2运行程序。在

今天早上我进来，运行同一个程序，结果出错了

AttributeError: module 'numpy' has no attribute 'testing'

我重新卸载并安装了python3.7.2

然后我做了pip3 install -U scikit-learn scipy matplotlib，运行了相同的程序，仍然得到这个错误。在

整个上午都在搜索，尝试不同的东西（当然，重启机器，检查路径）

请帮忙！！！！！！在

代码（以及其他代码触发器）

# Assigning features and label variables

# First Feature
weather=['Sunny','Sunny','Overcast','Rainy','Rainy','Rainy','Overcast','Sunny','Sunny',
'Rainy','Sunny','Overcast','Overcast','Rainy']

# Second Feature
temp=['Hot','Hot','Hot','Mild','Cool','Cool','Cool','Mild','Cool','Mild','Mild','Mild','Hot','Mild']

# Label or target varible
play=['No','No','Yes','Yes','Yes','No','Yes','No','Yes','Yes','Yes','Yes','Yes','No']


# Import LabelEncoder

from sklearn import preprocessing

# creating labelEncoder

le = preprocessing.LabelEncoder()

# converting string labels into numbers

weather_encoded = le.fit_transform(weather)

print(weather_encoded)

# converting string labels into numbers

temp_encoded = le.fit_transform(temp)

label = le.fit_transform(play)

# combining weather and temp into a single list of tuples

features = list(zip(weather_encoded,temp_encoded))


from sklearn.neighbors import KNeighborsClassifier

model = KNeighborsClassifier(n_neighbors=3)

# Train the model using the training sets

model.fit(features, label)

# Predict Output

predicted = model.predict([[0,2]]) #0:Overcast, 2:Mild

print(predicted)

回溯

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