加载 xgboost 部署模型遇到 AttributeError：super object has no attribute 'get_params'

一、问题

我的模型已被保存，我正在尝试部署该模型，但我收到错误消息AttributeError：“超级”对象没有属性“get_params”。我在我的代码中找不到任何错误。任何人都可以帮助解决这个问题。提前感谢您的帮助。我的完整代码如下所示。

from flask import Flask, render_template, request
from datetime import date
import numpy as np
import pandas as pd
from dateutil.relativedelta import relativedelta
import pickle
app=Flask(__name__)
model=pickle.load(open('XGBoost.pkl','rb'))
@app.route('/',methods=['GET'])

def home():
    return render_template('index.html')

@app.route('/predict',methods=['POST'])
def predict():
if request.method=='POST':
    loan_amt=float(request.form['loan_amt'])
    term=int(request.form['term'])
    issue_d=str(request.form['issue_d'])
    tol_paymnt=float(request.form['tol_paymnt'])
    int_recvd=float(request.form['int_recvd'])
    late_recv_fee=float(request.form['total_rec_late_fee'])
    rcvry=float(request.form['rcvry'])
    lst_pymnt_d=str(request.form['lst_pymnt_d'])
    last_pymnt_amnt=float(request.form['last_pymnt_amnt'])
    last_credit_pull_d=str(request.form['last_credit_pull_d'])
    nxt_pymnt_d=str(request.form['nxt_pymnt_d'])

    df=pd.DataFrame([[loan_amt,term,issue_d,tol_paymnt,int_recvd,late_recv_fee,rcvry,lst_pymnt_d,last_pymnt_amnt,last_credit_pull_d,nxt_pymnt_d]],
            columns=('loan_amnt','term','issue_d','total_pymnt','total_rec_int','late_recv_fee','recoveries','last_pymnt_d','last_pymnt_amnt','last_credit_pull_d','nxt_pymnt_d'))

    df['issue_d']=pd.to_datetime(df['issue_d']).dt.date
    df['last_pymnt_d']=pd.to_datetime(df['last_pymnt_d']).dt.date
    df['last_credit_pull_d']=pd.to_datetime(df['last_credit_pull_d']).dt.date
    df['nxt_pymnt_d']=pd.to_datetime(df['nxt_pymnt_d']).dt.date

    df['issue_d']=round((date.today()-df['issue_d'])/np.timedelta64(1,'M'))
    df['last_pymnt_d']=round((date.today()-df['last_pymnt_d'])/np.timedelta64(1,'M'))
    df['last_credit_pull_d']=round((date.today()-df['last_credit_pull_d'])/np.timedelta64(1,'M'))
    df['nxt_pymnt_d']=round((date.today()-df['nxt_pymnt_d'])/np.timedelta64(1,'M'))

    df['lst_nxt_pymnt_diff']=df['last_pymnt_d']-df['nxt_pymnt_d']
    df['issue_lst_pymnt_diff']=df['issue_d']-df['nxt_pymnt_d']

    df.drop(['nxt_pymnt_d'],axis=1,inplace=True)

    input=np.asarray([[df['loan_amnt'],df['term'],df['issue_d'],df['total_pymnt'],df['total_rec_int'],df['late_recv_fee'],df['recoveries'],df['last_pymnt_d'],df['last_pymnt_amnt'],
                       df['last_credit_pull_d'],df['lst_nxt_pymnt_diff'],df['issue_lst_pymnt_diff']]])

    prediction=model.predict(input)
    if prediction==0:
        return render_template('index.html',prediction_texts='Borrower will repay the loan amount.')
    else:
        return render_template('index.html',prediction_texts='Borrower will fail to repay the loan amount.')
else:
    return render_template('index.html')

if __name__=='main':
app.run(debug=True)

错误的完整回溯可以在下面看到:

    Traceback (most recent call last):
      File "C:\Users\Vikes\anaconda3\envs\loan_default\Lib\site-packages\werkzeug\serving.py", line 319, in run_wsgi xecute(self.server.app)
       File "C:\Users\Vikes\anaconda3\envs\loan_default\Lib\site-packages\werkzeug\serving.py", line 308, in execute application_iter = app(environ, start_response)
      File "C:\Users\Vikes\anaconda3\envs\loan_default\Lib\site-packages\flask\app.py", line 2088, in __call__
    return self.wsgi_app(environ, start_response)
  File "C:\Users\Vikes\anaconda3\envs\loan_default\Lib\site-packages\flask\app.py", line 2073, in wsgi_app
    response = self.handle_exception(e)
  File "C:\Users\Vikes\anaconda3\envs\loan_default\Lib\site-packages\flask\app.py", line 2070, in wsgi_app
    response = self.full_dispatch_request()
  File "C:\Users\Vikes\anaconda3\envs\loan_default\Lib\site-packages\flask\app.py", line 1515, in full_dispatch_request
    rv = self.handle_user_exception(e)
  File "C:\Users\Vikes\anaconda3\envs\loan_default\Lib\site-packages\flask\app.py", line 1513, in full_dispatch_request
    rv = self.dispatch_request()
  File "C:\Users\Vikes\anaconda3\envs\loan_default\Lib\site-packages\flask\app.py", line 1499, in dispatch_request
    return self.ensure_sync(self.view_functions[rule.endpoint])(**req.view_args)
  File "D:\Study material\Datasets\Python Project - Bank Lending\app.py", line 50, in predict
    prediction=model.predict(input)
  File "C:\Users\Vikes\anaconda3\envs\loan_default\Lib\site-packages\xgboost\sklearn.py", line 1209, in predict
    class_probs = super().predict(
  File "C:\Users\Vikes\anaconda3\envs\loan_default\Lib\site-packages\xgboost\sklearn.py", line 818, in predict
    if self._can_use_inplace_predict():
  File "C:\Users\Vikes\anaconda3\envs\loan_default\Lib\site-packages\xgboost\sklearn.py", line 758, in _can_use_inplace_predict
    params = self.get_params()
  File "C:\Users\Vikes\anaconda3\envs\loan_default\Lib\site-packages\xgboost\sklearn.py", line 438, in get_params
    params = super().get_params(deep)
AttributeError: 'super' object has no attribute 'get_params'

二、解决

我在我的Flask应用程序中遇到了类似的问题，同时使用了xgboost预测函数。
安装scikit-learn包后，问题得到了解决

pip install scikit-learn

相关文章：
AttributeError: 'super' object has no attribute 'get_params' while deploying
超级对象:在部署时没有属性“”get_params“”

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