Represents a set of hyperparameters to optimize.
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| virtual string | Algorithm [get, set] |
| | Optional. The search algorithm specified for the hyperparameter tuning job. Uses the default AI Platform hyperparameter tuning algorithm if unspecified. More...
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| virtual System.Nullable< bool > | EnableTrialEarlyStopping [get, set] |
| | Optional. Indicates if the hyperparameter tuning job enables auto trial early stopping. More...
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| virtual string | Goal [get, set] |
| | Required. The type of goal to use for tuning. Available types are MAXIMIZE and MINIMIZE. More...
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| virtual string | HyperparameterMetricTag [get, set] |
| | Optional. The TensorFlow summary tag name to use for optimizing trials. For current versions of TensorFlow, this tag name should exactly match what is shown in TensorBoard, including all scopes. For versions of TensorFlow prior to 0.12, this should be only the tag passed to tf.Summary. By default, "training/hptuning/metric" will be used. More...
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| virtual System.Nullable< int > | MaxFailedTrials [get, set] |
| | Optional. The number of failed trials that need to be seen before failing the hyperparameter tuning job. You can specify this field to override the default failing criteria for AI Platform hyperparameter tuning jobs. More...
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| virtual System.Nullable< int > | MaxParallelTrials [get, set] |
| | Optional. The number of training trials to run concurrently. You can reduce the time it takes to perform hyperparameter tuning by adding trials in parallel. However, each trail only benefits from the information gained in completed trials. That means that a trial does not get access to the results of trials running at the same time, which could reduce the quality of the overall optimization. More...
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| virtual System.Nullable< int > | MaxTrials [get, set] |
| | Optional. How many training trials should be attempted to optimize the specified hyperparameters. More...
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| virtual System.Collections.Generic.IList< GoogleCloudMlV1ParameterSpec > | Params__ [get, set] |
| | Required. The set of parameters to tune. More...
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| virtual string | ResumePreviousJobId [get, set] |
| | Optional. The prior hyperparameter tuning job id that users hope to continue with. The job id will be used to find the corresponding vizier study guid and resume the study. More...
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| virtual string | ETag [get, set] |
| | The ETag of the item. More...
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string | ETag |
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Represents a set of hyperparameters to optimize.
◆ Algorithm
| virtual string Google.Apis.CloudMachineLearningEngine.v1.Data.GoogleCloudMlV1HyperparameterSpec.Algorithm |
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getset |
Optional. The search algorithm specified for the hyperparameter tuning job. Uses the default AI Platform hyperparameter tuning algorithm if unspecified.
◆ EnableTrialEarlyStopping
| virtual System.Nullable<bool> Google.Apis.CloudMachineLearningEngine.v1.Data.GoogleCloudMlV1HyperparameterSpec.EnableTrialEarlyStopping |
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getset |
Optional. Indicates if the hyperparameter tuning job enables auto trial early stopping.
◆ ETag
| virtual string Google.Apis.CloudMachineLearningEngine.v1.Data.GoogleCloudMlV1HyperparameterSpec.ETag |
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getset |
◆ Goal
| virtual string Google.Apis.CloudMachineLearningEngine.v1.Data.GoogleCloudMlV1HyperparameterSpec.Goal |
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getset |
Required. The type of goal to use for tuning. Available types are MAXIMIZE and MINIMIZE.
Defaults to MAXIMIZE.
◆ HyperparameterMetricTag
| virtual string Google.Apis.CloudMachineLearningEngine.v1.Data.GoogleCloudMlV1HyperparameterSpec.HyperparameterMetricTag |
|
getset |
Optional. The TensorFlow summary tag name to use for optimizing trials. For current versions of TensorFlow, this tag name should exactly match what is shown in TensorBoard, including all scopes. For versions of TensorFlow prior to 0.12, this should be only the tag passed to tf.Summary. By default, "training/hptuning/metric" will be used.
◆ MaxFailedTrials
| virtual System.Nullable<int> Google.Apis.CloudMachineLearningEngine.v1.Data.GoogleCloudMlV1HyperparameterSpec.MaxFailedTrials |
|
getset |
Optional. The number of failed trials that need to be seen before failing the hyperparameter tuning job. You can specify this field to override the default failing criteria for AI Platform hyperparameter tuning jobs.
Defaults to zero, which means the service decides when a hyperparameter job should fail.
◆ MaxParallelTrials
| virtual System.Nullable<int> Google.Apis.CloudMachineLearningEngine.v1.Data.GoogleCloudMlV1HyperparameterSpec.MaxParallelTrials |
|
getset |
Optional. The number of training trials to run concurrently. You can reduce the time it takes to perform hyperparameter tuning by adding trials in parallel. However, each trail only benefits from the information gained in completed trials. That means that a trial does not get access to the results of trials running at the same time, which could reduce the quality of the overall optimization.
Each trial will use the same scale tier and machine types.
Defaults to one.
◆ MaxTrials
| virtual System.Nullable<int> Google.Apis.CloudMachineLearningEngine.v1.Data.GoogleCloudMlV1HyperparameterSpec.MaxTrials |
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getset |
Optional. How many training trials should be attempted to optimize the specified hyperparameters.
Defaults to one.
◆ Params__
| virtual System.Collections.Generic.IList<GoogleCloudMlV1ParameterSpec> Google.Apis.CloudMachineLearningEngine.v1.Data.GoogleCloudMlV1HyperparameterSpec.Params__ |
|
getset |
Required. The set of parameters to tune.
◆ ResumePreviousJobId
| virtual string Google.Apis.CloudMachineLearningEngine.v1.Data.GoogleCloudMlV1HyperparameterSpec.ResumePreviousJobId |
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getset |
Optional. The prior hyperparameter tuning job id that users hope to continue with. The job id will be used to find the corresponding vizier study guid and resume the study.
The documentation for this class was generated from the following file:
- Google.Apis.CloudMachineLearningEngine.v1.cs
Properties inherited from Google::Apis::Requests::IDirectResponseSchema