TypeError：fit（）缺少1个必需的位置参数：“ X”

Question

我尝试的代码是-

X = dataset.iloc[:,:].values
from sklearn.preprocessing import Imputer
imputer = Imputer(missing_values = 'Nan', strategy = 'mean', axis = 0)
imputer = Imputer.fit(X[:,2:52])
X[:,2:52] = imputer.transform(X[:,2:52])

我遇到的错误是- TypeError：fit（）缺少1个必需的位置参数：“ X”

Answer 1

imputer = Imputer(...)创建Imputer的新实例。当您要使用此实例时，只需像imputer.method(args)那样调用它即可。因此正确的用法应该是这样的：

X = dataset.iloc[:,:].values
from sklearn.preprocessing import Imputer
imputer = Imputer(missing_values = 'Nan', strategy = 'mean', axis = 0)
imputer.fit(X[:,2:52])
X[:,2:52] = imputer.transform(X[:,2:52])