Machine Learning, Data Science, Testing, Software Engineering.
found the best hyperparameters, we’ll train the real model: model = XGBClassifier(**best_hyperparameters) pipeline = Pipeline(steps=[ (“preprocessor”, transformer), (“model”, model) ]) pipeline.fit(X_train, y_train) Lastly, we can save the model object: joblib.dump(pipeline, “model.joblib”) The