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>);
}