Class GoogleCloudMlV1AutomatedStoppingConfigMedianAutomatedStoppingConfig

The median automated stopping rule stops a pending trial if the trial's best objective_value is strictly below the median 'performance' of all completed trials reported up to the trial's last measurement. Currently, 'performance' refers to the running average of the objective values reported by the trial in each measurement.

Inheritance

object

GoogleCloudMlV1AutomatedStoppingConfigMedianAutomatedStoppingConfig

Implements

IDirectResponseSchema

Inherited Members

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Namespace: Google.Apis.CloudMachineLearningEngine.v1.Data

Assembly: Google.Apis.CloudMachineLearningEngine.v1.dll

Syntax

public class GoogleCloudMlV1AutomatedStoppingConfigMedianAutomatedStoppingConfig : IDirectResponseSchema

Properties

ETag

The ETag of the item.

Declaration

public virtual string ETag { get; set; }

Property Value

Type	Description
string

UseElapsedTime

If true, the median automated stopping rule applies to measurement.use_elapsed_time, which means the elapsed_time field of the current trial's latest measurement is used to compute the median objective value for each completed trial.

Declaration

[JsonProperty("useElapsedTime")]
public virtual bool? UseElapsedTime { get; set; }

Property Value

Type	Description
bool?

Implements

IDirectResponseSchema