Kubernetes for ML
**Example:** Deploy a simple machine learning model using Kubernetes.
**Constraints:** Use a Python script to create a Kubernetes deployment and service.
In this problem, you will use Kubernetes to orchestrate the deployment of a machine learning model. You will create a Python script that uses the Kubernetes API to create a deployment and service for the model.
**Note:** You will need to have Kubernetes installed on your machine and a working Python environment.
Test Cases
Test Case 1
Input:
NoneExpected:
ML model deployed successfullyTest Case 2
Input:
NoneExpected:
ML model deployed successfully+ 3 hidden test cases