Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class 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.
Generated from protobuf message google.cloud.aiplatform.v1.StudySpec.MedianAutomatedStoppingSpec
Methods
__construct
Constructor.
| Parameters | |
|---|---|
| Name | Description |
data |
array
Optional. Data for populating the Message object. |
↳ use_elapsed_duration |
bool
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. |
getUseElapsedDuration
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.
Generated from protobuf field bool use_elapsed_duration = 1;
| Returns | |
|---|---|
| Type | Description |
bool | |
setUseElapsedDuration
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.
Generated from protobuf field bool use_elapsed_duration = 1;
| Parameter | |
|---|---|
| Name | Description |
var |
bool
|
| Returns | |
|---|---|
| Type | Description |
$this | |