决策树 AttributeError：模块“sklearn.tree”在 Jupyter Notebook 中没有属性“plot_tree”错误

Question

我想为我的数据可视化显示决策树图。但是控制台出现错误。

AttributeError: module 'sklearn.tree' has no attribute 'plot_tree'

虽然我通过!pip install -U scikit-learn和!pip install --upgrade sklearn安装了额外的模块，但还是无法解决错误。

我该如何解决这个问题？

下面是我的代码

import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
from sklearn.model_selection import train_test_split
# from sklearn.tree import DecisionTreeClassifier
from sklearn import tree

data = pd.read_csv("files/data.csv")
data.drop(["id","Unnamed: 32"],axis=1,inplace=True)
data.diagnosis = [1 if each == "M" else 0 for each in data.diagnosis]

y = data["diagnosis"].values
x_data = data.drop(["diagnosis"],axis=1)

x = (x_data - np.min(x_data))/(np.max(x_data)-np.min(x_data))

x_train, x_test, y_train, y_test = train_test_split(x,y,test_size = 0.3,random_state=1)

dt = DecisionTreeClassifier()
dt.fit(x_train,y_train)

print("score: ", dt.score(x_test,y_test))


tree.plot_tree(dt,
              feature_names = data.columns,
              rounded = True,
              filled = True,
               class_names = ["diagnosis"],
              impurity = True)

Answer 1

这是我的答案。

在更新 Anaconda Navigator 中定义的所有包后，我编写的代码 sn-p 可以完美运行。