deployModel method

Future<GoogleLongrunningOperation> deployModel(
  1. GoogleCloudAiplatformV1DeployModelRequest request,
  2. String endpoint, {
  3. String? $fields,
})

Deploys a Model into this Endpoint, creating a DeployedModel within it.

request - The metadata request object.

Request parameters:

endpoint - Required. The name of the Endpoint resource into which to deploy a Model. Format: projects/{project}/locations/{location}/endpoints/{endpoint} Value must have pattern ^projects/\[^/\]+/locations/\[^/\]+/endpoints/\[^/\]+$.

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

Completes with a GoogleLongrunningOperation.

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<GoogleLongrunningOperation> deployModel(
  GoogleCloudAiplatformV1DeployModelRequest 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') + ':deployModel';

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