export method

Future<GoogleLongrunningOperation> export(
  1. GoogleCloudAiplatformV1ExportModelRequest request,
  2. String name, {
  3. String? $fields,
})

Exports a trained, exportable Model to a location specified by the user.

A Model is considered to be exportable if it has at least one supported export format.

request - The metadata request object.

Request parameters:

name - Required. The resource name of the Model to export. The resource name may contain version id or version alias to specify the version, if no version is specified, the default version will be exported. Value must have pattern ^projects/\[^/\]+/locations/\[^/\]+/models/\[^/\]+$.

$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> export(
  GoogleCloudAiplatformV1ExportModelRequest request,
  core.String name, {
  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('$name') + ':export';

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