Contains custom model training parameters. See Custom models in Neptune ML.

Contains custom model transform parameters. See Use a trained model to generate new model artifacts.

The payload for DeleteStatistics.

An edge structure.

A structure containing the fast reset token used to initiate a fast reset.

Captures the status of a Gremlin query (see the Gremlin query status API page).

Contains status components of a Gremlin query.

Contains a list of load IDs.

Contains a Neptune ML configuration.

Defines a Neptune ML resource.

A node structure.

A Gremlin or openCypher change record.

Structure of a property graph record.

The graph summary API returns a read-only list of node and edge labels and property keys, along with counts of nodes, edges, and properties. See Graph summary response for a property graph (PG).

Payload for the property graph summary response.

Structure to capture query statistics such as how many queries are running, accepted or waiting and their details.

Structure for expressing the query language version.

The RDF graph summary API returns a read-only list of classes and predicate keys, along with counts of quads, subjects, and predicates.

Payload for an RDF graph summary response.

Statistics for REFRESH mode.

Neptune logs are converted to SPARQL quads in the graph using the Resource Description Framework (RDF) N-QUADS language defined in the W3C RDF 1.1 N-Quads specification

A serialized SPARQL stream record capturing a change-log entry for the RDF graph.

Contains statistics information. The DFE engine uses information about the data in your Neptune graph to make effective trade-offs when planning query execution. This information takes the form of statistics that include so-called characteristic sets and predicate statistics that can guide query planning. See Managing statistics for the Neptune DFE to use.

Information about the characteristic sets generated in the statistics.

A subject structure.