xgboost.save_model() and mlflow.xgboost.log_model() methods con python and mlflow_save_model and mlflow_log_model durante R respectively. These methods also add the python_function flavor sicuro the MLflow Models that they produce, allowing the models puro be interpreted as generic Python functions for inference coraggio 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 onesto load MLflow Models with the xgboost model flavor sopra native XGBoost format.

LightGBM ( lightgbm )

The lightgbm model flavor enables logging of LightGBM models in MLflow format modo the mlflow.lightgbm.save_model() and...