where to put freeze_support() in a Python script?

by

On Windows all of your multiprocessing-using code must be guarded by if __name__ == "__main__":

So to be safe, I would put all of your the code currently at the top-level of your script in a main() function, and then just do this at the top-level:

if __name__ == "__main__":
    main()

See the “Safe importing of main module” sub-section here for an explanation of why this is necessary. You probably don’t need to call freeze_support at all, though it won’t hurt anything to include it.

Note that it’s a best practice to use the if __name__ == "__main__" guard for scripts anyway, so that code isn’t unexpectedly executed if you find you need to import your script into another script at some point in the future.

More Related Contents:

  1. Why does the following code cant get value of n_fold = 1?
  2. How to run functions in parallel?
  3. How to extract the decision rules from scikit-learn decision-tree?
  4. How to one-hot-encode from a pandas column containing a list?
  5. Dead simple example of using Multiprocessing Queue, Pool and Locking
  6. scikit-learn & statsmodels – which R-squared is correct?
  7. Python Multiprocessing: Handling Child Errors in Parent
  8. Processing single file from multiple processes
  9. Random state (Pseudo-random number) in Scikit learn
  10. How to use a multiprocessing.Manager()?
  11. Solving embarassingly parallel problems using Python multiprocessing
  12. multiprocessing vs multithreading vs asyncio in Python 3
  13. Multiprocessing : use tqdm to display a progress bar
  14. Appending to the same list from different processes using multiprocessing
  15. How to one hot encode variant length features?
  16. Exception thrown in multiprocessing Pool not detected
  17. pandas dataframe columns scaling with sklearn
  18. Clustering text documents using scikit-learn kmeans in Python
  19. scikit-learn cross validation, negative values with mean squared error
  20. ROC for multiclass classification
  21. Why can I pass an instance method to multiprocessing.Process, but not a multiprocessing.Pool?
  22. How do you pass a Queue reference to a function managed by pool.map_async()?
  23. Chrome crashes after several hours while multiprocessing using Selenium through Python
  24. What kind of problems (if any) would there be combining asyncio with multiprocessing?
  25. What is the difference between multiprocessing and subprocess?
  26. Python Multiprocessing Lib Error (AttributeError: __exit__)
  27. fit-transform on training data and transform on test data [duplicate]
  28. Show the progress of a Python multiprocessing pool imap_unordered call?
  29. ‘int’ object has no attribute ‘__getitem__’
  30. How to find the importance of the features for a logistic regression model?

Leave a Comment