Amazon Neptune ML API
Machine learning operations
Amazon Neptune ML API is one of 29 APIs that Amazon Neptune publishes on the APIs.io network, described by a machine-readable OpenAPI specification.
Tagged areas include ML. The published artifact set on APIs.io includes an OpenAPI specification, API documentation, an API reference, pricing, a getting-started guide, and best-practice docs.
This API exposes 16 operations across 8 paths, and defines 6 schemas. It is described by OpenAPI 3.2.0, at version 2023-08-01.
Requests are made against a single base URL, https://neptune-db.{region}.amazonaws.com.
Metadata
The identity and technical contract details declared by the specification.
Authentication & Security 1
Amazon Neptune ML API declares
1 security scheme
for authenticating requests.
An API key is passed in the header as Authorization (aws_sigv4).
By default, every request must be authenticated.
aws_sigv4— AWS Signature Version 4 authentication
Paths & Operations 16
Across 8 paths, the API surfaces 16 operations — 4 DELETE, 8 GET, 4 POST. Each is listed below with its method, path, parameters, and response codes.
Machine learning operations
Schemas 6
The contract defines 6 schemas that model the data the API accepts and returns. The most detailed are StartMLModelTrainingJobInput (20 properties), StartMLDataProcessingJobInput (16 properties), StartMLModelTransformJobInput (15 properties), CreateMLEndpointInput (9 properties). Each schema is shown below with its type and property counts.
Specification
The full machine-readable OpenAPI contract behind this narrative.
Source
More from Amazon Neptune 12
Other APIs Amazon Neptune publishes across the network.
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