create method

Future<GoogleCloudAiplatformV1TensorboardRun> create(
  1. GoogleCloudAiplatformV1TensorboardRun request,
  2. String parent, {
  3. String? tensorboardRunId,
  4. String? $fields,
})

Creates a TensorboardRun.

request - The metadata request object.

Request parameters:

parent - Required. The resource name of the TensorboardExperiment to create the TensorboardRun in. Format: projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment} Value must have pattern ^projects/\[^/\]+/locations/\[^/\]+/tensorboards/\[^/\]+/experiments/\[^/\]+$.

tensorboardRunId - Required. The ID to use for the Tensorboard run, which becomes the final component of the Tensorboard run's resource name. This value should be 1-128 characters, and valid characters are /a-z-/.

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

Completes with a GoogleCloudAiplatformV1TensorboardRun.

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<GoogleCloudAiplatformV1TensorboardRun> create(
  GoogleCloudAiplatformV1TensorboardRun request,
  core.String parent, {
  core.String? tensorboardRunId,
  core.String? $fields,
}) async {
  final body_ = convert.json.encode(request);
  final queryParams_ = <core.String, core.List<core.String>>{
    if (tensorboardRunId != null) 'tensorboardRunId': [tensorboardRunId],
    if ($fields != null) 'fields': [$fields],
  };

  final url_ = 'v1/' + core.Uri.encodeFull('$parent') + '/runs';

  final response_ = await _requester.request(
    url_,
    'POST',
    body: body_,
    queryParams: queryParams_,
  );
  return GoogleCloudAiplatformV1TensorboardRun.fromJson(
    response_ as core.Map<core.String, core.dynamic>,
  );
}