listOptimalTrials method
- GoogleCloudAiplatformV1ListOptimalTrialsRequest request,
- String parent, {
- String? $fields,
Lists the pareto-optimal Trials for multi-objective Study or the optimal Trials for single-objective Study.
The definition of pareto-optimal can be checked in wiki page. https://en.wikipedia.org/wiki/Pareto_efficiency
request
- The metadata request object.
Request parameters:
parent
- Required. The name of the Study that the optimal Trial belongs
to.
Value must have pattern
^projects/\[^/\]+/locations/\[^/\]+/studies/\[^/\]+$
.
$fields
- Selector specifying which fields to include in a partial
response.
Completes with a GoogleCloudAiplatformV1ListOptimalTrialsResponse.
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<GoogleCloudAiplatformV1ListOptimalTrialsResponse>
listOptimalTrials(
GoogleCloudAiplatformV1ListOptimalTrialsRequest 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') + '/trials:listOptimalTrials';
final response_ = await _requester.request(
url_,
'POST',
body: body_,
queryParams: queryParams_,
);
return GoogleCloudAiplatformV1ListOptimalTrialsResponse.fromJson(
response_ as core.Map<core.String, core.dynamic>);
}