View Source GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_AutomatedStoppingConfig_MedianAutomatedStoppingConfig (google_api_machine_learning v0.28.1)

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.

Attributes

  • useElapsedTime (type: boolean(), default: nil) - 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.

Summary

Types

t()

Functions

decode(value, options)

Unwrap a decoded JSON object into its complex fields.

Types

Link to this type

t()

View Source 
@type t() ::
  %GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_AutomatedStoppingConfig_MedianAutomatedStoppingConfig{
    useElapsedTime: boolean() | nil
  }

Functions

Link to this function

decode(value, options)

View Source 
@spec decode(struct(), keyword()) :: struct()

Unwrap a decoded JSON object into its complex fields.