How to save & load xgboost model? [closed]
Here is how I solved the problem: import pickle file_name = “xgb_reg.pkl” # save pickle.dump(xgb_model, open(file_name, “wb”)) # load xgb_model_loaded = pickle.load(open(file_name, “rb”)) # test ind = 1 test = X_val[ind] xgb_model_loaded.predict(test)[0] == xgb_model.predict(test)[0] Out[1]: True