GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_AutomatedStoppingConfig_MedianAutomatedStoppingConfig (google_api_machine_learning v0.27.0) View Source

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.

Link to this section Summary

Functions

Unwrap a decoded JSON object into its complex fields.

Link to this section Types

Specs

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

Link to this section Functions

Specs

decode(struct(), keyword()) :: struct()

Unwrap a decoded JSON object into its complex fields.