Automated retraining triggers in MLOps - Mini Project: Build & Apply

Automated Retraining Triggers

📖 Scenario: You work as a machine learning engineer. You want to automate when your model retrains. This helps keep your model accurate without manual checks.Imagine you have a system that tracks model accuracy daily. If accuracy falls below a set limit, retraining should start automatically.

🎯 Goal: Build a simple Python script that checks model accuracy and triggers retraining when accuracy is too low.

📋 What You'll Learn

Create a dictionary with daily accuracy values

Set a threshold accuracy value

Write a loop to check each day's accuracy against the threshold

Print a message to trigger retraining when accuracy is below threshold

💡 Why This Matters

🌍 Real World

Automated retraining triggers help keep machine learning models accurate without manual monitoring. This saves time and improves model performance.

💼 Career

Understanding how to automate retraining is important for MLOps engineers and data scientists to maintain reliable AI systems.

1

Create accuracy data

Create a dictionary called daily_accuracy with these exact entries: 'day1': 0.92, 'day2': 0.88, 'day3': 0.85, 'day4': 0.90, 'day5': 0.80

MLOps

# Create the daily_accuracy dictionary with exact values
# Your code here

Need a hint?

Use curly braces to create a dictionary. Each day is a key with a float value for accuracy.

2

Set accuracy threshold

Create a variable called threshold and set it to 0.87

MLOps

daily_accuracy = {'day1': 0.92, 'day2': 0.88, 'day3': 0.85, 'day4': 0.90, 'day5': 0.80}
# Set the threshold variable to 0.87
# Your code here

Need a hint?

Use a simple assignment to create the threshold variable.

3

Check accuracy and trigger retraining

Use a for loop with variables day and accuracy to iterate over daily_accuracy.items(). Inside the loop, write an if statement to check if accuracy is less than threshold. If yes, create a variable trigger and set it to the string "Retrain model on {day}" using an f-string.

MLOps

daily_accuracy = {'day1': 0.92, 'day2': 0.88, 'day3': 0.85, 'day4': 0.90, 'day5': 0.80}
threshold = 0.87
# Loop over daily_accuracy and check if accuracy is below threshold
# Your code here

Need a hint?

Use for day, accuracy in daily_accuracy.items(): to loop. Use an if to compare accuracy and threshold. Use an f-string to create the trigger message.

4

Print retraining triggers

Inside the if block, add a print(trigger) statement to display the retraining message.

MLOps

daily_accuracy = {'day1': 0.92, 'day2': 0.88, 'day3': 0.85, 'day4': 0.90, 'day5': 0.80}
threshold = 0.87
for day, accuracy in daily_accuracy.items():
    if accuracy < threshold:
        trigger = f"Retrain model on {day}"
        # Print the trigger message
        # Your code here

Need a hint?

Use print(trigger) inside the if block to show the message.