Joblib

Creator
Creator
Seonglae Cho
Created
Created
2025 Feb 1 14:39
Editor
Edited
Edited
2025 Feb 1 14:40

Dffective dumping

joblib, which is optimized for handling NumPy arrays and large objects efficiently.
from joblib import dump, load # Save a model dump(model, 'model.joblib') # Load the model loaded_model = load('model.joblib')
Optimizing Workflows with Computation Caching
from joblib import Memory memory = Memory('cache_dir') @memory.cache def expensive_function(x): return sum(range(x))
 
 
 
 
 
 

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