There should be what to do after saving the trained Scikit-Learn model (e.g., using joblib)

[hypntzed78]

The code show how to save but not say how to use, access it later! So it not meaningful yet.

[Kirushikesh]

If you using pickle library to save the model. you can use pickle.load() to access it later. https://www.geeksforgeeks.org/understanding-python-pickling-example/

[ageron]

Hi @ladylazy9x , Thanks for your feedback. Both the book and the notebook contain the following code:

import joblib
joblib.dump(my_model, "my_model.pkl")
#...
my_model_loaded = joblib.load("my_model.pkl")

This shows how to save the model using joblib.dump() and how to recover it later using joblib.load(). Does this answer your question or were you referring to something else?

[hypntzed78]

my_model_loaded

Dear @ageron

yeah, I think there should be how to use the my_model_loaded after that. Like what my_model_loaded is like. What does it contain? Show the reader until this fit to their work.

[ageron]

Oh I see! It's just identical to my_model. So you can make predictions with it, just like you would with my_model:

my_model_loaded.predict(X_new)

Makes sense?