GCP Vertex AI Feature Store Platform Service
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A GCP Vertex AI Feature Store Platform Service is a feature store service that is a GCP Vertex AI component.
- Context:
- It can be used independently or as part of Vertex AI workflows.
- …
- Example(s):
- Counter-Example(s):
- See: GCP Vertex AI Matching Engine.
References
2021
- https://cloud.google.com/vertex-ai/docs/featurestore/overview
- QUOTE: Vertex Feature Store (Feature Store) provides a centralized repository for organizing, storing, and serving ML features. By using a central featurestore, your organization can efficiently share, discover, and re-use ML features at scale, which can increase the velocity of your organization for developing and deploying new ML applications. Feature Store is a fully managed solution; it manages and scales the underlying infrastructure for you such as storage and compute resources. This solution means that your data scientists can focus on the feature computation logic instead of worrying about the challenges of deploying features into production.
Feature Store is an integrated part of Vertex AI. You can use Feature Store independently or as part of Vertex AI workflows. For example, you can fetch data from Feature Store to train custom or AutoML models in Vertex AI.
- QUOTE: Vertex Feature Store (Feature Store) provides a centralized repository for organizing, storing, and serving ML features. By using a central featurestore, your organization can efficiently share, discover, and re-use ML features at scale, which can increase the velocity of your organization for developing and deploying new ML applications. Feature Store is a fully managed solution; it manages and scales the underlying infrastructure for you such as storage and compute resources. This solution means that your data scientists can focus on the feature computation logic instead of worrying about the challenges of deploying features into production.
