Description
The information about an algorithm that is deployed in an OpenSearch application.
Example
{
"id": "281",
"appGroupName": "tongtianhe_apitest",
"scene": "SECOND_RANK",
"desc": "",
"models": [{
"modelName": "popV2",
"modelId": 363,
"progress": 100,
"status": "IN_SERVICE",
"projectId": 1747,
"algorithmType": "POP"
}],
"gmtCreate": "2020-02-07T10:59:12+0000",
"gmtModified": "2020-02-07T11:15:02+0000",
"status": "IN_SERVICE",
"apps": [
"100298098"
]
}Structure
Field | Type | Description |
|---|---|---|
id | Integer | The ID of the deployed algorithm. |
appGroupName | String | The name of the application. |
scene | String | The scenario where the algorithm is deployed. Valid values:- FIRST_RANK: rough sort- SECOND_RANK: fine sort |
desc | String | The description of the algorithm. |
models[] | Object | The deployed algorithm models. For more information, see DeployedAlgorithmModel. |
status | String | The deployment status. Valid values:- UNKNOWN: The deployment status is unknown.- PREDICTING: The model prediction is in progress.- PENDING: The algorithm is waiting to be deployed.- REINDEX_PENDING: The algorithm waits for reindexing.- REINDEXING: The indexes are being rebuilt and the rough sort expression is being created.- DEPLOYING: The algorithm is being deployed and the fine sort expression is being created.- IN_SERVICE: The algorithm takes effect.- OFFLINE: The algorithm is offline.- TARGET_MISSING: The algorithm to be deployed does not exist. |
apps | Array | The version for which the algorithm is deployed. |
gmtCreate | String | The time when the algorithm was deployed. |
gmtModified | String | The time when the algorithm was last updated. |