Represents the result of a single hyperparameter tuning trial from a training job. The TrainingOutput object that is returned on successful completion of a training job with hyperparameter tuning includes a list of HyperparameterOutput objects, one for each successful trial.

Attributes

• allMetrics (type: list(GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_HyperparameterOutput_HyperparameterMetric.t), default: nil) - All recorded object metrics for this trial. This field is not currently populated.
• builtInAlgorithmOutput (type: GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_BuiltInAlgorithmOutput.t, default: nil) - Details related to built-in algorithms jobs. Only set for trials of built-in algorithms jobs that have succeeded.
• endTime (type: DateTime.t, default: nil) - Output only. End time for the trial.
• finalMetric (type: GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_HyperparameterOutput_HyperparameterMetric.t, default: nil) - The final objective metric seen for this trial.
• hyperparameters (type: map(), default: nil) - The hyperparameters given to this trial.
• isTrialStoppedEarly (type: boolean(), default: nil) - True if the trial is stopped early.
• startTime (type: DateTime.t, default: nil) - Output only. Start time for the trial.
• state (type: String.t, default: nil) - Output only. The detailed state of the trial.
• trialId (type: String.t, default: nil) - The trial id for these results.
• webAccessUris (type: map(), default: nil) - URIs for accessing interactive shells (one URI for each training node). Only available if this trial is part of a hyperparameter tuning job and the job's training_input.enable_web_access is true. The keys are names of each node in the training job; for example, master-replica-0 for the master node, worker-replica-0 for the first worker, and ps-replica-0 for the first parameter server. The values are the URIs for each node's interactive shell.