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