public static final class ReadFeatureValuesRequest.Builder extends GeneratedMessageV3.Builder<ReadFeatureValuesRequest.Builder> implements ReadFeatureValuesRequestOrBuilder
Request message for FeaturestoreOnlineServingService.ReadFeatureValues.
Protobuf type google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest
Static Methods
public static final Descriptors.Descriptor getDescriptor()
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Methods
public ReadFeatureValuesRequest.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
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public ReadFeatureValuesRequest build()
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public ReadFeatureValuesRequest buildPartial()
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public ReadFeatureValuesRequest.Builder clear()
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public ReadFeatureValuesRequest.Builder clearEntityId()
Required. ID for a specific entity. For example,
for a machine learning model predicting user clicks on a website, an entity
ID could be user_123.
string entity_id = 2 [(.google.api.field_behavior) = REQUIRED];
public ReadFeatureValuesRequest.Builder clearEntityType()
Required. The resource name of the EntityType for the entity being read.
Value format:
projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}.
For example, for a machine learning model predicting user clicks on a
website, an EntityType ID could be user.
string entity_type = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
public ReadFeatureValuesRequest.Builder clearFeatureSelector()
Required. Selector choosing Features of the target EntityType.
.google.cloud.aiplatform.v1beta1.FeatureSelector feature_selector = 3 [(.google.api.field_behavior) = REQUIRED];
public ReadFeatureValuesRequest.Builder clearField(Descriptors.FieldDescriptor field)
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public ReadFeatureValuesRequest.Builder clearOneof(Descriptors.OneofDescriptor oneof)
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public ReadFeatureValuesRequest.Builder clone()
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public ReadFeatureValuesRequest getDefaultInstanceForType()
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public Descriptors.Descriptor getDescriptorForType()
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public String getEntityId()
Required. ID for a specific entity. For example,
for a machine learning model predicting user clicks on a website, an entity
ID could be user_123.
string entity_id = 2 [(.google.api.field_behavior) = REQUIRED];
| Type | Description |
| String | The entityId.
|
public ByteString getEntityIdBytes()
Required. ID for a specific entity. For example,
for a machine learning model predicting user clicks on a website, an entity
ID could be user_123.
string entity_id = 2 [(.google.api.field_behavior) = REQUIRED];
public String getEntityType()
Required. The resource name of the EntityType for the entity being read.
Value format:
projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}.
For example, for a machine learning model predicting user clicks on a
website, an EntityType ID could be user.
string entity_type = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
| Type | Description |
| String | The entityType.
|
public ByteString getEntityTypeBytes()
Required. The resource name of the EntityType for the entity being read.
Value format:
projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}.
For example, for a machine learning model predicting user clicks on a
website, an EntityType ID could be user.
string entity_type = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
| Type | Description |
| ByteString | The bytes for entityType.
|
public FeatureSelector getFeatureSelector()
Required. Selector choosing Features of the target EntityType.
.google.cloud.aiplatform.v1beta1.FeatureSelector feature_selector = 3 [(.google.api.field_behavior) = REQUIRED];
public FeatureSelector.Builder getFeatureSelectorBuilder()
Required. Selector choosing Features of the target EntityType.
.google.cloud.aiplatform.v1beta1.FeatureSelector feature_selector = 3 [(.google.api.field_behavior) = REQUIRED];
public FeatureSelectorOrBuilder getFeatureSelectorOrBuilder()
Required. Selector choosing Features of the target EntityType.
.google.cloud.aiplatform.v1beta1.FeatureSelector feature_selector = 3 [(.google.api.field_behavior) = REQUIRED];
public boolean hasFeatureSelector()
Required. Selector choosing Features of the target EntityType.
.google.cloud.aiplatform.v1beta1.FeatureSelector feature_selector = 3 [(.google.api.field_behavior) = REQUIRED];
| Type | Description |
| boolean | Whether the featureSelector field is set.
|
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
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public final boolean isInitialized()
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public ReadFeatureValuesRequest.Builder mergeFeatureSelector(FeatureSelector value)
Required. Selector choosing Features of the target EntityType.
.google.cloud.aiplatform.v1beta1.FeatureSelector feature_selector = 3 [(.google.api.field_behavior) = REQUIRED];
public ReadFeatureValuesRequest.Builder mergeFrom(ReadFeatureValuesRequest other)
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public ReadFeatureValuesRequest.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
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Exceptions
public ReadFeatureValuesRequest.Builder mergeFrom(Message other)
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public final ReadFeatureValuesRequest.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
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public ReadFeatureValuesRequest.Builder setEntityId(String value)
Required. ID for a specific entity. For example,
for a machine learning model predicting user clicks on a website, an entity
ID could be user_123.
string entity_id = 2 [(.google.api.field_behavior) = REQUIRED];
| Name | Description |
| value | String
The entityId to set.
|
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public ReadFeatureValuesRequest.Builder setEntityIdBytes(ByteString value)
Required. ID for a specific entity. For example,
for a machine learning model predicting user clicks on a website, an entity
ID could be user_123.
string entity_id = 2 [(.google.api.field_behavior) = REQUIRED];
| Name | Description |
| value | ByteString
The bytes for entityId to set.
|
Returns
public ReadFeatureValuesRequest.Builder setEntityType(String value)
Required. The resource name of the EntityType for the entity being read.
Value format:
projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}.
For example, for a machine learning model predicting user clicks on a
website, an EntityType ID could be user.
string entity_type = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
| Name | Description |
| value | String
The entityType to set.
|
Returns
public ReadFeatureValuesRequest.Builder setEntityTypeBytes(ByteString value)
Required. The resource name of the EntityType for the entity being read.
Value format:
projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}.
For example, for a machine learning model predicting user clicks on a
website, an EntityType ID could be user.
string entity_type = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
| Name | Description |
| value | ByteString
The bytes for entityType to set.
|
Returns
public ReadFeatureValuesRequest.Builder setFeatureSelector(FeatureSelector value)
Required. Selector choosing Features of the target EntityType.
.google.cloud.aiplatform.v1beta1.FeatureSelector feature_selector = 3 [(.google.api.field_behavior) = REQUIRED];
public ReadFeatureValuesRequest.Builder setFeatureSelector(FeatureSelector.Builder builderForValue)
Required. Selector choosing Features of the target EntityType.
.google.cloud.aiplatform.v1beta1.FeatureSelector feature_selector = 3 [(.google.api.field_behavior) = REQUIRED];
public ReadFeatureValuesRequest.Builder setField(Descriptors.FieldDescriptor field, Object value)
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public ReadFeatureValuesRequest.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
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public final ReadFeatureValuesRequest.Builder setUnknownFields(UnknownFieldSet unknownFields)
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