A machine learning engineer has registered a sklearn model in the MLflow Model Registry using the sklearn model flavor with UI model_uri.
Which of the following operations can be used to load the model as an sklearn object for batch deployment?
A machine learning engineer has registered a sklearn model in the MLflow Model Registry using the sklearn model flavor with UI model_uri.
Which of the following operations can be used to load the model as an sklearn object for batch deployment?
To load a model that was registered using the sklearn model flavor in the MLflow Model Registry, the correct operation is mlflow.sklearn.load_model(model_uri). This function is specifically designed to load sklearn models registered in MLflow and return a scikit-learn model object that can be used for batch deployment.
The correct answer is E. mlflow.sklearn.load_model(model_uri). The mlflow.sklearn.load_model function is used to load a model that was saved using the sklearn flavor of MLflow. This function returns a sklearn model object that can be used for batch deployment
Doc: https://mlflow.org/docs/latest/python_api/mlflow.sklearn.html#mlflow.sklearn.load_model