Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class DiscreteValueSpec.
Value specification for a parameter in DISCRETE type.
Generated from protobuf message google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec
Namespace
Google \ Cloud \ AIPlatform \ V1 \ StudySpec \ ParameterSpecMethods
__construct
Constructor.
| Parameters | |
|---|---|
| Name | Description |
data |
array
Optional. Data for populating the Message object. |
↳ values |
array
Required. A list of possible values. The list should be in increasing order and at least 1e-10 apart. For instance, this parameter might have possible settings of 1.5, 2.5, and 4.0. This list should not contain more than 1,000 values. |
↳ default_value |
float
A default value for a |
getValues
Required. A list of possible values.
The list should be in increasing order and at least 1e-10 apart. For instance, this parameter might have possible settings of 1.5, 2.5, and 4.0. This list should not contain more than 1,000 values.
| Returns | |
|---|---|
| Type | Description |
Google\Protobuf\Internal\RepeatedField |
|
setValues
Required. A list of possible values.
The list should be in increasing order and at least 1e-10 apart. For instance, this parameter might have possible settings of 1.5, 2.5, and 4.0. This list should not contain more than 1,000 values.
| Parameter | |
|---|---|
| Name | Description |
var |
float[]
|
| Returns | |
|---|---|
| Type | Description |
$this |
|
getDefaultValue
A default value for a DISCRETE parameter that is assumed to be a
relatively good starting point. Unset value signals that there is no
offered starting point. It automatically rounds to the
nearest feasible discrete point.
Currently only supported by the Vertex AI Vizier service. Not supported by HyperparameterTuningJob or TrainingPipeline.
| Returns | |
|---|---|
| Type | Description |
float |
|
hasDefaultValue
clearDefaultValue
setDefaultValue
A default value for a DISCRETE parameter that is assumed to be a
relatively good starting point. Unset value signals that there is no
offered starting point. It automatically rounds to the
nearest feasible discrete point.
Currently only supported by the Vertex AI Vizier service. Not supported by HyperparameterTuningJob or TrainingPipeline.
| Parameter | |
|---|---|
| Name | Description |
var |
float
|
| Returns | |
|---|---|
| Type | Description |
$this |
|