create method
- GoogleCloudAiplatformV1TensorboardTimeSeries request,
- String parent, {
- String? tensorboardTimeSeriesId,
- String? $fields,
Creates a TensorboardTimeSeries.
request - The metadata request object.
Request parameters:
parent - Required. The resource name of the TensorboardRun to create the
TensorboardTimeSeries in. Format:
projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}
Value must have pattern
^projects/\[^/\]+/locations/\[^/\]+/tensorboards/\[^/\]+/experiments/\[^/\]+/runs/\[^/\]+$.
tensorboardTimeSeriesId - Optional. The user specified unique ID to use
for the TensorboardTimeSeries, which becomes the final component of the
TensorboardTimeSeries's resource name. This value should match "a-z0-9{0,
127}"
$fields - Selector specifying which fields to include in a partial
response.
Completes with a GoogleCloudAiplatformV1TensorboardTimeSeries.
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<GoogleCloudAiplatformV1TensorboardTimeSeries> create(
  GoogleCloudAiplatformV1TensorboardTimeSeries request,
  core.String parent, {
  core.String? tensorboardTimeSeriesId,
  core.String? $fields,
}) async {
  final body_ = convert.json.encode(request);
  final queryParams_ = <core.String, core.List<core.String>>{
    if (tensorboardTimeSeriesId != null)
      'tensorboardTimeSeriesId': [tensorboardTimeSeriesId],
    if ($fields != null) 'fields': [$fields],
  };
  final url_ = 'v1/' + core.Uri.encodeFull('$parent') + '/timeSeries';
  final response_ = await _requester.request(
    url_,
    'POST',
    body: body_,
    queryParams: queryParams_,
  );
  return GoogleCloudAiplatformV1TensorboardTimeSeries.fromJson(
    response_ as core.Map<core.String, core.dynamic>,
  );
}