I know how to fit a linear regression model, save it using joblib.dump and then load it again with joblib_load.However, after I reload the model, I would like to be able to keep training it, but it looks like if I doalg = joblib.load(myModel)alg.fit(X, y)the fit will fit it from scratch, dropping the previously saved model loaded with joblib.How can I train a model, save it, load it, and then do some more training on it?
Saving a model with joblib, load it and keep training it
python;scikit learn;training