| Index: generated/googleapis_beta/lib/ml/v1beta1.dart
|
| diff --git a/generated/googleapis_beta/lib/ml/v1beta1.dart b/generated/googleapis_beta/lib/ml/v1beta1.dart
|
| index 045150b792c79534a5ae795c847cc3b4baa40ef6..af79bdab571e34aedd28a6bee9d28ddad6963f67 100644
|
| --- a/generated/googleapis_beta/lib/ml/v1beta1.dart
|
| +++ b/generated/googleapis_beta/lib/ml/v1beta1.dart
|
| @@ -2303,6 +2303,8 @@ class GoogleCloudMlV1beta1TrainingOutput {
|
| * The number of hyperparameter tuning trials that completed successfully.
|
| */
|
| core.String completedTrialCount;
|
| + /** The amount of ML units consumed by the job. */
|
| + core.double consumedMlUnits;
|
| /** Results for individual Hyperparameter trials. */
|
| core.List<GoogleCloudMlV1beta1HyperparameterOutput> trials;
|
|
|
| @@ -2312,6 +2314,9 @@ class GoogleCloudMlV1beta1TrainingOutput {
|
| if (_json.containsKey("completedTrialCount")) {
|
| completedTrialCount = _json["completedTrialCount"];
|
| }
|
| + if (_json.containsKey("consumedMlUnits")) {
|
| + consumedMlUnits = _json["consumedMlUnits"];
|
| + }
|
| if (_json.containsKey("trials")) {
|
| trials = _json["trials"].map((value) => new GoogleCloudMlV1beta1HyperparameterOutput.fromJson(value)).toList();
|
| }
|
| @@ -2322,6 +2327,9 @@ class GoogleCloudMlV1beta1TrainingOutput {
|
| if (completedTrialCount != null) {
|
| _json["completedTrialCount"] = completedTrialCount;
|
| }
|
| + if (consumedMlUnits != null) {
|
| + _json["consumedMlUnits"] = consumedMlUnits;
|
| + }
|
| if (trials != null) {
|
| _json["trials"] = trials.map((value) => (value).toJson()).toList();
|
| }
|
|
|