Why model versioning enables rollback in MLOps - See It in Action

Why Model Versioning Enables Rollback

📖 Scenario: You work in a team that builds machine learning models. Sometimes new models have bugs or perform worse. To fix this quickly, you want to keep track of all model versions so you can go back to a previous good one if needed.

🎯 Goal: Build a simple Python dictionary to represent model versions and their statuses. Then write code to select a model version to rollback to if the current one fails.

📋 What You'll Learn

Create a dictionary called model_versions with exact keys and values

Create a variable called current_version with the exact value 'v3'

Write a for loop using version and status to find the last stable model version

Print the rollback version with the exact text format

💡 Why This Matters

🌍 Real World

Model versioning helps teams quickly revert to a safe model if a new one causes problems, reducing downtime and errors in production.

💼 Career

Understanding model versioning and rollback is key for MLOps engineers and data scientists to maintain reliable machine learning systems.

1

Create the model versions dictionary

Create a dictionary called model_versions with these exact entries: 'v1': 'stable', 'v2': 'unstable', 'v3': 'unstable', 'v4': 'stable'.

MLOps

# Create the model_versions dictionary with exact entries
# Your code here

Need a hint?

Use curly braces {} to create a dictionary with keys and values separated by colons.

2

Set the current model version

Create a variable called current_version and set it to the string 'v3'.

MLOps

model_versions = {'v1': 'stable', 'v2': 'unstable', 'v3': 'unstable', 'v4': 'stable'}
# Set current_version to 'v3'
# Your code here

Need a hint?

Assign the string 'v3' to the variable current_version.

3

Find the last stable model version for rollback

Write a for loop using variables version and status to iterate over model_versions.items(). Inside the loop, if status is 'stable' and version is less than current_version, set a variable rollback_version to version. This finds the last stable version before the current one.

MLOps

model_versions = {'v1': 'stable', 'v2': 'unstable', 'v3': 'unstable', 'v4': 'stable'}
current_version = 'v3'
# Find rollback_version using a for loop
# Your code here

Need a hint?

Use model_versions.items() to get key-value pairs. Compare strings directly to find versions before current_version.

4

Print the rollback version

Write a print statement to display the text: "Rollback to model version: {rollback_version}" using an f-string.

MLOps

model_versions = {'v1': 'stable', 'v2': 'unstable', 'v3': 'unstable', 'v4': 'stable'}
current_version = 'v3'
rollback_version = None
for version, status in model_versions.items():
    if status == 'stable' and version < current_version:
        rollback_version = version
# Print the rollback version
# Your code here

Need a hint?

Use print(f"Rollback to model version: {rollback_version}") to show the rollback version.