without haste but without rest

0. 개요 pickle type으로 모델을 저장한다 -> deployment ## Deployment ## ### Store Model for Later with Pickle ### # import module import pickle # save the pipeline model to disk pickle.dump(model, open('./model.pkl', 'wb')) # load the pipeline model from disk and deserialize model_load = pickle.load(open('./model.pkl', 'rb')) # use the loaded pipeline model to predict on new data y_pred = model_load.predict..