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(); |
} |