[USER (data scientist)]: Great! Now, how do I train a logistic regression classifier with this data? Please train a Logistic Regression model on the training set from the 'credit_customers' dataset.
My template of code snippet is:

---BEGIN CODE TEMPLATE---

import pandas as pd 
from sklearn.linear_model import LogisticRegression 
import pickle
from decision_company import read_csv_file, 

# please import the necessary private functions from decision_company first
 
# Load the dataset 
credit_customers = read_csv_file("credit_customers.csv") 
 
# YOUR SOLUTION BEGIN:
<code1>
[COMPLETE YOUR CODE]
</code1>
# YOUR SOLUTION END

print(LogisticRegression)

# save data
pickle.dump(LogisticRegression,open("./pred_result/LogisticRegression.pkl","wb"))

---END CODE TEMPLATE---

[YOU (AI assistant)]: You can use the 'LogisticRegression' class from the 'sklearn.linear_model' module to train the classifier. Here's how:
'''
import pandas as pd 
from sklearn.linear_model import LogisticRegression 
import pickle
from decision_company import read_csv_file, 

# please import the necessary private functions from decision_company first
 
# Load the dataset 
credit_customers = read_csv_file("credit_customers.csv") 
 
# YOUR SOLUTION BEGIN:
