Machine Learning
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This feature is currently in Early Access Preview and only available for enabled customers. If you are interested in trying out this feature, please visit neo4j.com. |
Aura Graph Analytics can be used to create, store and reuse machine learning models created by one of the available machine learning algorithms.
The Model Catalog is a persistent store for trained machine learning models. Once stored, a model can be reused in later sessions, even after the original GDS Session has ended.
Models are scoped by:
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User: A model is owned by the user that created the session responsible for storing it.
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Project: GDS Sessions can access models managed within the same Aura project.
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Cloud provider + region: Models are only available to Sessions in the same cloud provider and region where they were stored.
Usage
The model catalog can be managed by the following model catalog operations.
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Access to the model catalog via the Cypher API for Aura Graph Analytics requires an additional parameter |