You have developed a BigQuery ML model that predicts customer churn based on feature values such as customer activity and transaction history. This model is deployed to Vertex AI Endpoints for serving predictions. To maintain the model's accuracy over time, you need to automate the retraining process triggered by changes in model feature values, while minimizing the training costs. What approach should you use to achieve this with minimal additional code?