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public static interface StudySpec.ParameterSpec.DiscreteValueSpecOrBuilder extends MessageOrBuilder
Implements
MessageOrBuilderMethods
getDefaultValue()
public abstract double 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.
optional double default_value = 3;
Type | Description |
double | The defaultValue. |
getValues(int index)
public abstract double getValues(int index)
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.
repeated double values = 1 [(.google.api.field_behavior) = REQUIRED];
Name | Description |
index | int The index of the element to return. |
Type | Description |
double | The values at the given index. |
getValuesCount()
public abstract int getValuesCount()
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.
repeated double values = 1 [(.google.api.field_behavior) = REQUIRED];
Type | Description |
int | The count of values. |
getValuesList()
public abstract List<Double> getValuesList()
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.
repeated double values = 1 [(.google.api.field_behavior) = REQUIRED];
Type | Description |
List<Double> | A list containing the values. |
hasDefaultValue()
public abstract boolean hasDefaultValue()
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.
optional double default_value = 3;
Type | Description |
boolean | Whether the defaultValue field is set. |