第二章 PipeLine的示例代码运行出错

[vine3401]

关于特征缩放的代码,就是下面这个Pipeline转换流水线

num_attribs = list(housing_num)
cat_attribs = ["ocean_proximity"]

num_pipeline = Pipeline([
    ('selector', DataFrameSelector(num_attribs)),
    ("imputer", Imputer(strategy="median")),
    ("attribs_adder", CombinedAttributesAdder()),
    ("std_scaler", StandardScaler()),
])
cat_pipeline = Pipeline([
    ('selector', DataFrameSelector(cat_attribs)),
    ('label_binarizer', LabelBinarizer()),
])

full_pipeline = FeatureUnion(transformer_list=[
    ("num_pipeline", num_pipeline),
    ("cat_pipeline", cat_pipeline)
])

housing_prepared = full_pipeline.fit_transform(housing)

运行报错如下:TypeError: fit_transform() takes 2 positional arguments but 3 were given,

查了网上资料后发现是版本问题,LabelBinareizer的fit_transform函数参数定义改变了:

"""
The pipeline is assuming LabelBinarizer's fit_transform method is defined to take three positional arguments:
"""
def fit_transform(self, x, y)
    ...rest of the code
while it is defined to take only two:

def fit_transform(self, x):
    ...rest of the code

希望能解决一哈,虽然找到了问题,但不知道咋改(新手QAQ)