Click4Ai

558.

Hard

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: None
Expected: ML model deployed successfully
Test Case 2
Input: None
Expected: ML model deployed successfully
+ 3 hidden test cases