pandas 未知标签类型 sklearn
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时间：2020-09-14 02:21:42 来源:igfitidea点击:
Unknown label type sklearn
提问by Руслан Вергунов
I 'm new in sklearn. I 'm trying to do this code
我是 sklearn 的新手。我正在尝试执行此代码
data = pandas.read_csv('titanic.csv')
data= data[data['Pclass'].notnull() & data['Sex'].notnull() & data['Age'].notnull() & data['Fare'].notnull()]
test = data.loc[:,['Pclass','Sex','Age','Fare']]
target = data.loc[:,['Survived']]
test = test.replace(to_replace=['male','female'],value=[1,0])
clf=DecisionTreeClassifier(random_state=241)
clf.fit(target,test)
And I saw this error
我看到了这个错误
ValueError: Unknown label type: array([[ 22. , 3. , 7.25 , 1. ], [ 38. , 1. , 71.2833, 0. ], [ 26. , 3. , 7.925 , 0. ], ..., [ 19. , 1. , 30. , 0. ], [ 26. , 1. , 30. , 1. ], [ 32. , 3. , 7.75 , 1. ]])
ValueError: Unknown label type: array([[ 22. , 3. , 7.25 , 1. ], [ 38. , 1. , 71.2833, 0. ], [ 26. , 3. , 7.925 , 0. ], ..., [ 19. , 1. , 30. , 0. ], [ 26. , 1. , 30. , 1. ], [ 32. , 3. , 7.75 , 1. ]])
What is a problem?
什么是问题？
采纳答案by Nickil Maveli
You are currently providing a dataframe and not it's numpy array representation as the training input to the fitmethod. Do this instead:
您当前提供的是一个数据帧，而不是它的 numpy 数组表示作为该fit方法的训练输入。改为这样做：
clf.fit(X=test.values, y=target.values)
# Even .asmatrix() works but is not generally recommended
