xgboost.save_model() and mlflow.xgboost.log_model() methods mediante python and mlflow_save_model and mlflow_log_model mediante R respectively. These methods also add the python_function flavor puro the MLflow Models that they produce, allowing the models preciso be interpreted as generic Python functions for inference strada mlflow.pyfunc.load_model() . This loaded PyFunc model can only be scored with DataFrame incentivo. You can also use the mlflow.xgboost.load_model() method to load MLflow Models with the xgboost model flavor mediante native XGBoost format.
LightGBM ( lightgbm )
The lightgbm model flavor enables logging of LightGBM models durante MLflow format cammino the mlflow.lightgbm.save_model() and mlflow.lightgbm.log_model() methods. These methods also add the python_function flavor puro the MLflow Models that they produce, allowing the models to be interpreted as generic Python functions for inference via mlflow.pyfunc.load_model() . This loaded PyFunc model can only be scored with DataFrame incentivo. You can also use the mlflow.lightgbm.load_model() method to load MLflow Models with the lightgbm model flavor sopra native LightGBM format. Читать далее The xgboost model flavor enables logging of XGBoost models mediante MLflow format via the mlflow