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Google Cloud Certified Professional Machine Learning Engineer · Google Cloud
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D. Vertex ML Metadata – Vertex ML Metadata allows you to store model versions, performance statistics, and metadata. Importantly, you can store season and year as slices/events and then compare performance metrics across slices easily. This is designed for tracking experiments and versions over time and is integrated into Vertex AI
https://cloud.google.com/vertex-ai/docs/evaluation/introduction
https://cloud.google.com/vertex-ai/docs/model-registry/versioning Model versioning lets you create multiple versions of the same model. With model versioning, you can organize your models in a way that helps navigate and understand which changes had what effect on the models. With Vertex AI Model Registry you can view your models and all of their versions in a single view. You can drill down into specific model versions and see exactly how they performed.