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.
Protobuf type google.cloud.aiplatform.v1.StudySpec.MedianAutomatedStoppingSpec
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.
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.
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.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-01-27 UTC."],[],[]]