Perform an online prediction with an arbitrary HTTP payload. The
response includes the following HTTP headers: *
X-Vertex-AI-Endpoint-Id
: ID of the Endpoint that served this
prediction. * X-Vertex-AI-Deployed-Model-Id
: ID of the Endpoint's
DeployedModel that served this prediction.
Arguments
Parameters | |
---|---|
endpoint |
Required. The name of the Endpoint requested to serve the prediction. Format: |
region |
Required. Region of the HTTP endpoint. For example, if region is set to |
body |
Required. |
Raised exceptions
Exceptions | |
---|---|
ConnectionError |
In case of a network problem (such as DNS failure or refused connection). |
HttpError |
If the response status is >= 400 (excluding 429 and 503). |
TimeoutError |
If a long-running operation takes longer to finish than the specified timeout limit. |
TypeError |
If an operation or function receives an argument of the wrong type. |
ValueError |
If an operation or function receives an argument of the right type but an inappropriate value. For example, a negative timeout. |
Response
If successful, the response contains an instance of GoogleApiHttpBody
.
Subworkflow snippet
Some fields might be optional or required. To identify required fields, refer to the API documentation.
YAML
- rawPredict: call: googleapis.aiplatform.v1.projects.locations.publishers.models.rawPredict args: endpoint: ... region: ... body: httpBody: contentType: ... data: ... extensions: ... result: rawPredictResult
JSON
[ { "rawPredict": { "call": "googleapis.aiplatform.v1.projects.locations.publishers.models.rawPredict", "args": { "endpoint": "...", "region": "...", "body": { "httpBody": { "contentType": "...", "data": "...", "extensions": "..." } } }, "result": "rawPredictResult" } } ]