Create a Model
The MLflow Model Registry provides a centralized storage location for MLflow Models. The Registry enables collaboration and provides a way to manage a model's lifecycle.
In this exercise, you will use the mlflow client
module to create a new Model named "Insurance"
. This will create an area in the MLflow Model Registry where you can register versioned models at a later time.
This exercise is part of the course
Introduction to MLflow
Exercise instructions
- Import the
mlflow client
module. - Create an instance of the
mlflow client
class namedclient
. - Create a new model named
"Insurance"
.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Import MLflow Client from MLflow module
from ____ import ____
# Create an instance of MLflow Client Class named client
____ = ____
# Create new model
____.____("____")