Class: Google::Cloud::AIPlatform::V1::StudySpec::DecayCurveAutomatedStoppingSpec

Inherits:

Object

• Object
• Google::Cloud::AIPlatform::V1::StudySpec::DecayCurveAutomatedStoppingSpec

Extended by:

Protobuf::MessageExts::ClassMethods

Includes:

Protobuf::MessageExts

Defined in:

proto_docs/google/cloud/aiplatform/v1/study.rb

Overview

The decay curve automated stopping rule builds a Gaussian Process Regressor to predict the final objective value of a Trial based on the already completed Trials and the intermediate measurements of the current Trial. Early stopping is requested for the current Trial if there is very low probability to exceed the optimal value found so far.

Instance Attribute Summary

• #use_elapsed_duration ⇒ ::Boolean

  True if Measurement.elapsed_duration is used as the x-axis of each Trials Decay Curve.

Instance Attribute Details

#use_elapsed_duration ⇒ ::Boolean

Returns True if Measurement.elapsed_duration is used as the x-axis of each Trials Decay Curve. Otherwise, Measurement.step_count will be used as the x-axis.

Returns:

• (::Boolean) —

  True if Measurement.elapsed_duration is used as the x-axis of each Trials Decay Curve. Otherwise, Measurement.step_count will be used as the x-axis.

# File 'proto_docs/google/cloud/aiplatform/v1/study.rb', line 497

class DecayCurveAutomatedStoppingSpec
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods
end