CreateMlRunInput
Type: Input
Fields
| Name | Type | Default | Description |
|---|---|---|---|
| completedAt | DateTime | When the run finished successfully | |
| context | JsonString | Arbitrary context stored for Reactor steps | |
| datasetReport | JsonString | Dataset quality information captured during assembly | |
| errorDetails | JsonString | Structured error payload | |
| externalId | String | Optional cross-system identifier for the run | |
| initiatedBy | String | Human-friendly explanation of what triggered the run | |
| initiatorMetadata | JsonString | Structured metadata describing the run initiator | |
| kind | String! | Category of work performed by this run | |
| metrics | JsonString | Captured metrics for the run | |
| modelVersionId | ID | Associated model version id, populated for training/evaluation runs | |
| questionId | ID! | Owning ML question id | |
| startedAt | DateTime | When the run started | |
| status | String | Current execution status | |
| validationReport | JsonString | Evaluation or QA summary |