rawPredict method

Future<GoogleApiHttpBody> rawPredict(GoogleCloudAiplatformV1RawPredictRequest request, String endpoint, { String? $fields, })

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.

request - The metadata request object.

Request parameters:

endpoint - Required. The name of the Endpoint requested to serve the prediction. Format: projects/{project}/locations/{location}/endpoints/{endpoint} Value must have pattern ^projects/\[^/\]+/locations/\[^/\]+/publishers/\[^/\]+/models/\[^/\]+$.

$fields - Selector specifying which fields to include in a partial response.

Completes with a GoogleApiHttpBody.

Completes with a commons.ApiRequestError if the API endpoint returned an error.

If the used http.Client completes with an error when making a REST call, this method will complete with the same error.

Implementation

async.Future<GoogleApiHttpBody> rawPredict(
  GoogleCloudAiplatformV1RawPredictRequest request,
  core.String endpoint, {
  core.String? $fields,
}) async {
  final body_ = convert.json.encode(request);
  final queryParams_ = <core.String, core.List<core.String>>{
    if ($fields != null) 'fields': [$fields],
  };

  final url_ = 'v1/' + core.Uri.encodeFull('$endpoint') + ':rawPredict';

  final response_ = await _requester.request(
    url_,
    'POST',
    body: body_,
    queryParams: queryParams_,
  );
  return GoogleApiHttpBody.fromJson(
      response_ as core.Map<core.String, core.dynamic>);
}