Saving and Loading Your Model
Persist with joblib for reuse.
Why Save a Model?
Training can take minutes or hours. Saving the fitted model lets you reuse it instantly, with no need to retrain every time. 💾
Serialization in Plain Words
Serialization turns your in-memory model into bytes you can write to disk. Loading reverses it back into a working object.
All lessons in this course
- Structuring a Real NLP Project
- scikit-learn Pipelines End to End
- Saving and Loading Your Model
- Predicting on Brand-New Text