模块sklearn.tree_tree没有属性DTYPE。

时间:2018-03-25 13:46:15

标签: python tree scikit-learn

from sklearn import tree
#Just a basic program. I am just a beginner.
clf = tree.DecisionTreeClassifier()

X = [[190,84,9], [180,80,9], [175,67,8],[165,60,6],[180,64,7],[180,74,8],[154,56,5],[162,60,8],
      [184,76,9],[142,46,5],[164,69,8]]
Y = ["Male", "Male", "Male", "Female", "Female", "Male", "Female", "Female", "Male", "Female", 
     "Female"]

clf = clf.fit(X,Y)

prediction = clf.predict([169,58,8])

print(prediction)

这是我的python代码。我已经成功安装了软件包,但是我收到了这个错误。我使用Spyder编辑器的Anaconda发行版。 请帮忙。谢谢!

2 个答案:

答案 0 :(得分:0)

尝试更改导入语句

from sklearn.tree import DecisionTreeClassifier

clf = DecisionTreeClassifier()

X = [[190,84,9], [180,80,9], [175,67,8],[165,60,6],[180,64,7],[180,74,8],[154,56,5],[162,60,8],
      [184,76,9],[142,46,5],[164,69,8]]
Y = ["Male", "Male", "Male", "Female", "Female", "Male", "Female", "Female", "Male", "Female", 
     "Female"]

clf = clf.fit(X,Y)

prediction = clf.predict([169,58,8])

print(prediction)

答案 1 :(得分:0)

此代码的错误是使用为预测函数传递的参数。 更正的代码是

from sklearn import tree
#Just a basic program. I am just a beginner.
clf = tree.DecisionTreeClassifier()

X = [[190,84,9], [180,80,9], [175,67,8],[165,60,6],[180,64,7],[180,74,8],[154,56,5],[162,60,8],
      [184,76,9],[142,46,5],[164,69,8]]
Y = ["Male", "Male", "Male", "Female", "Female", "Male", "Female", "Female", "Male", "Female", 
     "Female"]

clf = clf.fit(X,Y)

prediction = clf.predict([[169,58,8]])

print(prediction)

它给出了正确的输出['女性']。 感谢。