lightgbm

Try: my_model.booster_.save_model(‘mode.txt’) #load from model: bst = lgb.Booster(model_file=”mode.txt”) Note: the API state that bst = lgb.train(…) bst.save_model(‘model.txt’, num_iteration=bst.best_iteration) Depending on the version, one of the above works. For generic, You can also use pickle or something similar to freeze your model. import joblib # save model joblib.dump(my_model, ‘lgb.pkl’) # load model gbm_pickle = joblib.load(‘lgb.pkl’) Let … Read more