class Google::Apis::MlV1::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.

Attributes

use_elapsed_time[RW]

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. Corresponds to the JSON property `useElapsedTime` @return [Boolean]

use_elapsed_time?[RW]

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. Corresponds to the JSON property `useElapsedTime` @return [Boolean]

Public Class Methods

new(**args) click to toggle source
# File lib/google/apis/ml_v1/classes.rb, line 111
def initialize(**args)
   update!(**args)
end

Public Instance Methods

update!(**args) click to toggle source

Update properties of this object

# File lib/google/apis/ml_v1/classes.rb, line 116
def update!(**args)
  @use_elapsed_time = args[:use_elapsed_time] if args.key?(:use_elapsed_time)
end