一个热编码“得到意外的关键字参数'category'u features'”

Question

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error : oneHot = OneHotEncoder(categorical_features = [0]) TypeError: init() got an unexpected keyword argument 'categorical_features'.

我正设法对第一列进行编码 下面是我的代码示例：

from sklearn.preprocessing import LabelEncoder,OneHotEncoder 
labelen_x = LabelEncoder() # string to numeric encoding object
x[:,0]= labelen_x.fit_transform(x[:,0]) # replaces the string labels with numerics for ML algorithm to be able to work with it
oneHot = OneHotEncoder(categorical_features = [0])
x = oneHot.fit_transform(x).toarray()

Answer 1

初始化OHE类时不应传递任何obejct，只需执行以下操作：

from sklearn.preprocessing import OneHotEncoder 

# sample data
df = pd.DataFrame({'col': [0,1,2,3,0,1,2]})
colnames = ['col'] # modify this for your df

oneHot = OneHotEncoder()
x_ohe = oneHot.fit_transform(df[colnames].values.reshape(-1,1))

要检查一个热编码数据的外观（请参见矩阵），只需执行以下操作：

^{pr2}$

Answer 2

参数就是categories。在

https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html

Answer 3

使用scikit learn版本0.21.3我可以获得正确的一个热编码，如下所示：

正如您在警告中看到的，参数categorical_features将在sklearn版本0.22之后贬值。所以，您需要使用ColumnTransformer。Here是{}的文档