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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

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Exercise instructions

  • Import the mlflow client module.
  • Create an instance of the mlflow client class named client.
  • 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
____.____("____")
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