Python Can'；t获取属性'；MyScaler'；on<；模块'__主&'&燃气轮机；

我的笔记本上有一节课，如下所示：

class MyScaler(BaseEstimator,TransformerMixin):
    def __init__(self,columns,with_mean=True,with_std=True,copy=True):
        self.scaler = StandardScaler(copy,with_mean,with_std)
        self.columns = columns
        self.mean_ = None
        self.var_ = None

    def fit(self,X,y=None):
        self.scaler.fit(X[self.columns],y)
        self.mean_ = np.array(np.mean(X[self.columns]))
        self.var_ = np.array(np.var(X[self.columns]))
        return self

    def transform(self,X,y=None,copy=None):
        initial_col_order = X.columns
        X_scaled = pd.DataFrame(self.scaler.transform(X[self.columns]),columns=self.columns)
        X_not_scaled = X.loc[:,~X.columns.isin(self.columns)]
        return pd.concat([X_not_scaled,X_scaled],axis=1)[initial_col_order]

我将本课程作为：

with open('Custom_Scaler','wb') as file:
    pickle.dump(MyScaler,file)

我有另一个模块“LogReg\u缺席\u模块”，我正在尝试取消pickle这个文件。我还在该模块中定义了此类，如下所示：

import pandas as pd
import numpy as np
import pickle
from sklearn.preprocessing import StandardScaler
from sklearn.base import BaseEstimator, TransformerMixin

#The custom scaler that only scales the non-dummy value columns.
class MyScaler(BaseEstimator,TransformerMixin):
    def __init__(self,columns,with_mean=True,with_std=True,copy=True):
        self.scaler = StandardScaler(copy,with_mean,with_std)
        self.columns = columns
        self.mean_ = None
        self.var_ = None

    def fit(self,X,y=None):
        self.scaler.fit(X[self.columns],y)
        self.mean_ = np.array(np.mean(X[self.columns]))
        self.var_ = np.array(np.var(X[self.columns]))
        return self

    def transform(self,X,y=None,copy=None):
        initial_col_order = X.columns
        X_scaled = pd.DataFrame(self.scaler.transform(X[self.columns]),columns=self.columns)
        X_not_scaled = X.loc[:,~X.columns.isin(self.columns)]
        return pd.concat([X_not_scaled,X_scaled],axis=1)[initial_col_order]

#The class that we are going to use from here on to predict new data
class absenteeism_model():
    def __init__(self,model_file,scaler_file):
        with open('Absenteeism_Model','rb') as model_file,open('Custom_Scaler','rb') as scaler_file:
            self.log_reg = pickle.load(model_file)             #Load the previously saved model 
            self.scaler = pickle.load(scaler_file)             #and scaler.
            self.data = None

从一个新笔记本中，当我尝试

model=旷工模型（'旷工模型'，'Custom\u Scaler'）

我得到：

<ipython-input-66-8631c175353f> in <module>
----> 1 model = absenteeism_model('Absenteeism_Model','Custom_Scaler')

~\LogReg_Absent_Module.py in __init__(self, model_file, scaler_file)
    37         with open('Absenteeism_Model','rb') as model_file,open('Custom_Scaler','rb') as scaler_file:
    38             self.log_reg = pickle.load(model_file)             #Load the previously saved model
---> 39             self.scaler = pickle.load(scaler_file)             #and scaler.
    40             self.data = None
    41 

AttributeError: Can't get attribute 'MyScaler' on <module '__main__'>```

   

in
---->1模型=旷工模型（“旷工模型”，“自定义定标器”）
~\LogReg\u缺席\u init\uuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuu中的Module.py（self、model\u文件、scaler\u文件）
37以open（“旷工模型”，“rb”）作为模型文件，以open（“自定义定标器”，“rb”）作为定标器文件：
38 self.log_reg=pickle.load（model_文件）#加载以前保存的模型
--->39 self.scaler=pickle.load（scaler_文件）和scaler。
40自我数据=无
41
AttributeError:无法在上获取属性“MyScaler”```

我不明白你为什么要pickle一个类而不是该类的对象

你介意展示一下你实现MyScaler的部分代码吗。我认为，在保存scaler时，MyScaler类的对象存在问题

例如，您已声明：

scaler = MyScaler(X)

在本例中，您将使用以下代码进行pickle：

 with open ('Custom_Scaler' , 'wb') as file: 
  pickle.dump(scaler, file)

---

看看这是否解决了您的问题。

我尝试过清理MyScaler类的对象，但仍然得到AttributeError。如果没有帮助，请尝试使用此文件更改您的缩放器文件：