public static final class StudySpec.ParameterSpec.DiscreteValueSpec.Builder extends GeneratedMessageV3.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
Static Methods
public static final Descriptors.Descriptor getDescriptor()
Returns
Methods
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];
| Name | Description |
| values | Iterable<? extends java.lang.Double>
The values to add.
|
Returns
public StudySpec.ParameterSpec.DiscreteValueSpec.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters
Returns
Overrides
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];
| Name | Description |
| value | double
The values to add.
|
Returns
public StudySpec.ParameterSpec.DiscreteValueSpec build()
Returns
public StudySpec.ParameterSpec.DiscreteValueSpec buildPartial()
Returns
public StudySpec.ParameterSpec.DiscreteValueSpec.Builder clear()
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Overrides
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;
public StudySpec.ParameterSpec.DiscreteValueSpec.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
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Overrides
public StudySpec.ParameterSpec.DiscreteValueSpec.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
Returns
Overrides
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];
public StudySpec.ParameterSpec.DiscreteValueSpec.Builder clone()
Returns
Overrides
public StudySpec.ParameterSpec.DiscreteValueSpec getDefaultInstanceForType()
Returns
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;
| Type | Description |
| double | The defaultValue.
|
public Descriptors.Descriptor getDescriptorForType()
Returns
Overrides
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];
| Name | Description |
| index | int
The index of the element to return.
|
Returns
| Type | Description |
| double | The values at the given index.
|
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];
| Type | Description |
| int | The count of values.
|
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];
| Type | Description |
| List<Double> | A list containing the values.
|
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;
| Type | Description |
| boolean | Whether the defaultValue field is set.
|
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Overrides
public final boolean isInitialized()
Returns
Overrides
public StudySpec.ParameterSpec.DiscreteValueSpec.Builder mergeFrom(StudySpec.ParameterSpec.DiscreteValueSpec other)
Parameter
Returns
public StudySpec.ParameterSpec.DiscreteValueSpec.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
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Overrides
Exceptions
public StudySpec.ParameterSpec.DiscreteValueSpec.Builder mergeFrom(Message other)
Parameter
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Overrides
public final StudySpec.ParameterSpec.DiscreteValueSpec.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
Returns
Overrides
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;
| Name | Description |
| value | double
The defaultValue to set.
|
Returns
public StudySpec.ParameterSpec.DiscreteValueSpec.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters
Returns
Overrides
public StudySpec.ParameterSpec.DiscreteValueSpec.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters
Returns
Overrides
public final StudySpec.ParameterSpec.DiscreteValueSpec.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
Returns
Overrides
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];
| Name | Description |
| index | int
The index to set the value at.
|
| value | double
The values to set.
|
Returns
