Vertex AI V1 API - Class Google::Cloud::AIPlatform::V1::StudySpec::MedianAutomatedStoppingSpec (v1.40.0)

Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::StudySpec::MedianAutomatedStoppingSpec.

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.

Inherits

  • Object

Extended By

  • Google::Protobuf::MessageExts::ClassMethods

Includes

  • Google::Protobuf::MessageExts

Methods

#use_elapsed_duration

def use_elapsed_duration() -> ::Boolean
Returns
  • (::Boolean) — True if median automated stopping rule applies on Measurement.elapsed_duration. It means that elapsed_duration field of latest measurement of current Trial is used to compute median objective value for each completed Trials.

#use_elapsed_duration=

def use_elapsed_duration=(value) -> ::Boolean
Parameter
  • value (::Boolean) — True if median automated stopping rule applies on Measurement.elapsed_duration. It means that elapsed_duration field of latest measurement of current Trial is used to compute median objective value for each completed Trials.
Returns
  • (::Boolean) — True if median automated stopping rule applies on Measurement.elapsed_duration. It means that elapsed_duration field of latest measurement of current Trial is used to compute median objective value for each completed Trials.