class Google::Apis::MlV1::GoogleCloudMlV1AutomatedStoppingConfig

Configuration for Automated Early Stopping of Trials. If no implementation_config is set, automated early stopping will not be run.

Attributes

decay_curve_stopping_config[RW]

Corresponds to the JSON property `decayCurveStoppingConfig` @return [Google::Apis::MlV1::GoogleCloudMlV1AutomatedStoppingConfigDecayCurveAutomatedStoppingConfig]

median_automated_stopping_config[RW]

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. Corresponds to the JSON property `medianAutomatedStoppingConfig` @return [Google::Apis::MlV1::GoogleCloudMlV1AutomatedStoppingConfigMedianAutomatedStoppingConfig]

Public Class Methods

new(**args) click to toggle source
# File lib/google/apis/ml_v1/classes.rb, line 586
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 591
def update!(**args)
  @decay_curve_stopping_config = args[:decay_curve_stopping_config] if args.key?(:decay_curve_stopping_config)
  @median_automated_stopping_config = args[:median_automated_stopping_config] if args.key?(:median_automated_stopping_config)
end