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public static final class StudySpec.ParameterSpec.DiscreteValueSpec.Builder extends GeneratedMessage.Builder<StudySpec.ParameterSpec.DiscreteValueSpec.Builder> implements StudySpec.ParameterSpec.DiscreteValueSpecOrBuilder Value specification for a parameter in DISCRETE type.
Protobuf type google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec
Inheritance
java.lang.Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessage.Builder > StudySpec.ParameterSpec.DiscreteValueSpec.BuilderStatic Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()| Returns | |
|---|---|
| Type | Description |
Descriptor |
|
Methods
addAllValues(Iterable<? extends Double> values)
public StudySpec.ParameterSpec.DiscreteValueSpec.Builder addAllValues(Iterable<? extends Double> values)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];
| Parameter | |
|---|---|
| Name | Description |
values |
Iterable<? extends java.lang.Double>The values to add. |
| Returns | |
|---|---|
| Type | Description |
StudySpec.ParameterSpec.DiscreteValueSpec.Builder |
This builder for chaining. |
addValues(double value)
public StudySpec.ParameterSpec.DiscreteValueSpec.Builder addValues(double value)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];
| Parameter | |
|---|---|
| Name | Description |
value |
doubleThe values to add. |
| Returns | |
|---|---|
| Type | Description |
StudySpec.ParameterSpec.DiscreteValueSpec.Builder |
This builder for chaining. |
build()
public StudySpec.ParameterSpec.DiscreteValueSpec build()| Returns | |
|---|---|
| Type | Description |
StudySpec.ParameterSpec.DiscreteValueSpec |
|
buildPartial()
public StudySpec.ParameterSpec.DiscreteValueSpec buildPartial()| Returns | |
|---|---|
| Type | Description |
StudySpec.ParameterSpec.DiscreteValueSpec |
|
clear()
public StudySpec.ParameterSpec.DiscreteValueSpec.Builder clear()| Returns | |
|---|---|
| Type | Description |
StudySpec.ParameterSpec.DiscreteValueSpec.Builder |
|
clearDefaultValue()
public StudySpec.ParameterSpec.DiscreteValueSpec.Builder clearDefaultValue() 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;
| Returns | |
|---|---|
| Type | Description |
StudySpec.ParameterSpec.DiscreteValueSpec.Builder |
This builder for chaining. |
clearValues()
public StudySpec.ParameterSpec.DiscreteValueSpec.Builder clearValues()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];
| Returns | |
|---|---|
| Type | Description |
StudySpec.ParameterSpec.DiscreteValueSpec.Builder |
This builder for chaining. |
getDefaultInstanceForType()
public StudySpec.ParameterSpec.DiscreteValueSpec getDefaultInstanceForType()| Returns | |
|---|---|
| Type | Description |
StudySpec.ParameterSpec.DiscreteValueSpec |
|
getDefaultValue()
public 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;
| Returns | |
|---|---|
| Type | Description |
double |
The defaultValue. |
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()| Returns | |
|---|---|
| Type | Description |
Descriptor |
|
getValues(int index)
public 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];
| Parameter | |
|---|---|
| Name | Description |
index |
intThe index of the element to return. |
| Returns | |
|---|---|
| Type | Description |
double |
The values at the given index. |
getValuesCount()
public 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];
| Returns | |
|---|---|
| Type | Description |
int |
The count of values. |
getValuesList()
public 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];
| Returns | |
|---|---|
| Type | Description |
List<Double> |
A list containing the values. |
hasDefaultValue()
public 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;
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the defaultValue field is set. |
internalGetFieldAccessorTable()
protected GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()| Returns | |
|---|---|
| Type | Description |
FieldAccessorTable |
|
isInitialized()
public final boolean isInitialized()| Returns | |
|---|---|
| Type | Description |
boolean |
|
mergeFrom(StudySpec.ParameterSpec.DiscreteValueSpec other)
public StudySpec.ParameterSpec.DiscreteValueSpec.Builder mergeFrom(StudySpec.ParameterSpec.DiscreteValueSpec other)| Parameter | |
|---|---|
| Name | Description |
other |
StudySpec.ParameterSpec.DiscreteValueSpec |
| Returns | |
|---|---|
| Type | Description |
StudySpec.ParameterSpec.DiscreteValueSpec.Builder |
|
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public StudySpec.ParameterSpec.DiscreteValueSpec.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)| Parameters | |
|---|---|
| Name | Description |
input |
CodedInputStream |
extensionRegistry |
ExtensionRegistryLite |
| Returns | |
|---|---|
| Type | Description |
StudySpec.ParameterSpec.DiscreteValueSpec.Builder |
|
| Exceptions | |
|---|---|
| Type | Description |
IOException |
|
mergeFrom(Message other)
public StudySpec.ParameterSpec.DiscreteValueSpec.Builder mergeFrom(Message other)| Parameter | |
|---|---|
| Name | Description |
other |
Message |
| Returns | |
|---|---|
| Type | Description |
StudySpec.ParameterSpec.DiscreteValueSpec.Builder |
|
setDefaultValue(double value)
public StudySpec.ParameterSpec.DiscreteValueSpec.Builder setDefaultValue(double value) 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;
| Parameter | |
|---|---|
| Name | Description |
value |
doubleThe defaultValue to set. |
| Returns | |
|---|---|
| Type | Description |
StudySpec.ParameterSpec.DiscreteValueSpec.Builder |
This builder for chaining. |
setValues(int index, double value)
public StudySpec.ParameterSpec.DiscreteValueSpec.Builder setValues(int index, double value)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];
| Parameters | |
|---|---|
| Name | Description |
index |
intThe index to set the value at. |
value |
doubleThe values to set. |
| Returns | |
|---|---|
| Type | Description |
StudySpec.ParameterSpec.DiscreteValueSpec.Builder |
This builder for chaining. |