batchCreate method
- GoogleCloudAiplatformV1BatchCreateTensorboardTimeSeriesRequest request,
- String parent, {
- String? $fields,
Batch create TensorboardTimeSeries that belong to a TensorboardExperiment.
request
- The metadata request object.
Request parameters:
parent
- Required. The resource name of the TensorboardExperiment to
create the TensorboardTimeSeries in. Format:
projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}
The TensorboardRuns referenced by the parent fields in the
CreateTensorboardTimeSeriesRequest messages must be sub resources of this
TensorboardExperiment.
Value must have pattern
^projects/\[^/\]+/locations/\[^/\]+/tensorboards/\[^/\]+/experiments/\[^/\]+$
.
$fields
- Selector specifying which fields to include in a partial
response.
Completes with a GoogleCloudAiplatformV1BatchCreateTensorboardTimeSeriesResponse.
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<GoogleCloudAiplatformV1BatchCreateTensorboardTimeSeriesResponse>
batchCreate(
GoogleCloudAiplatformV1BatchCreateTensorboardTimeSeriesRequest request,
core.String parent, {
core.String? $fields,
}) async {
final body_ = convert.json.encode(request);
final queryParams_ = <core.String, core.List<core.String>>{
if ($fields != null) 'fields': [$fields],
};
final url_ = 'v1/' + core.Uri.encodeFull('$parent') + ':batchCreate';
final response_ = await _requester.request(
url_,
'POST',
body: body_,
queryParams: queryParams_,
);
return GoogleCloudAiplatformV1BatchCreateTensorboardTimeSeriesResponse
.fromJson(response_ as core.Map<core.String, core.dynamic>);
}