I tried to compress a pickle file representing a PyCaret model.
import joblib
joblib.dump('my_file.pkl', 'new_file.pkl.z',compress=3)
The above code didn't work.
How can I reduce the size of a pickle file for PyCaret models?
There is no need to call the joblib.dump function yourself, you should call the PyCaret save function directly on the loaded model as follows:
from pycaret.regression import load_model, save_model
your_model = load_model('my_file.pkl')
save_model(your_model, f'my_file.pkl', **{"compress":3})
Example above is for a regression model
For reference: Pycaret calls the jolib.dump function here passing any given kwargs.