public static final class RawPredictRequest.Builder extends GeneratedMessageV3.Builder<RawPredictRequest.Builder> implements RawPredictRequestOrBuilderRequest message for PredictionService.RawPredict.
Protobuf type google.cloud.vertexai.v1.RawPredictRequest
Inheritance
Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > RawPredictRequest.BuilderImplements
RawPredictRequestOrBuilderStatic Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()| Returns | |
|---|---|
| Type | Description |
Descriptor |
|
Methods
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public RawPredictRequest.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)| Parameters | |
|---|---|
| Name | Description |
field |
FieldDescriptor |
value |
Object |
| Returns | |
|---|---|
| Type | Description |
RawPredictRequest.Builder |
|
build()
public RawPredictRequest build()| Returns | |
|---|---|
| Type | Description |
RawPredictRequest |
|
buildPartial()
public RawPredictRequest buildPartial()| Returns | |
|---|---|
| Type | Description |
RawPredictRequest |
|
clear()
public RawPredictRequest.Builder clear()| Returns | |
|---|---|
| Type | Description |
RawPredictRequest.Builder |
|
clearEndpoint()
public RawPredictRequest.Builder clearEndpoint() Required. The name of the Endpoint requested to serve the prediction.
Format:
projects/{project}/locations/{location}/endpoints/{endpoint}
string endpoint = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
| Returns | |
|---|---|
| Type | Description |
RawPredictRequest.Builder |
This builder for chaining. |
clearField(Descriptors.FieldDescriptor field)
public RawPredictRequest.Builder clearField(Descriptors.FieldDescriptor field)| Parameter | |
|---|---|
| Name | Description |
field |
FieldDescriptor |
| Returns | |
|---|---|
| Type | Description |
RawPredictRequest.Builder |
|
clearHttpBody()
public RawPredictRequest.Builder clearHttpBody()The prediction input. Supports HTTP headers and arbitrary data payload.
A DeployedModel may have an upper limit on the number of instances it supports per request. When this limit it is exceeded for an AutoML model, the RawPredict method returns an error. When this limit is exceeded for a custom-trained model, the behavior varies depending on the model.
You can specify the schema for each instance in the
predict_schemata.instance_schema_uri
field when you create a Model. This
schema applies when you deploy the Model as a DeployedModel to an
Endpoint and use the RawPredict
method.
.google.api.HttpBody http_body = 2;
| Returns | |
|---|---|
| Type | Description |
RawPredictRequest.Builder |
|
clearOneof(Descriptors.OneofDescriptor oneof)
public RawPredictRequest.Builder clearOneof(Descriptors.OneofDescriptor oneof)| Parameter | |
|---|---|
| Name | Description |
oneof |
OneofDescriptor |
| Returns | |
|---|---|
| Type | Description |
RawPredictRequest.Builder |
|
clone()
public RawPredictRequest.Builder clone()| Returns | |
|---|---|
| Type | Description |
RawPredictRequest.Builder |
|
getDefaultInstanceForType()
public RawPredictRequest getDefaultInstanceForType()| Returns | |
|---|---|
| Type | Description |
RawPredictRequest |
|
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()| Returns | |
|---|---|
| Type | Description |
Descriptor |
|
getEndpoint()
public String getEndpoint() Required. The name of the Endpoint requested to serve the prediction.
Format:
projects/{project}/locations/{location}/endpoints/{endpoint}
string endpoint = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
| Returns | |
|---|---|
| Type | Description |
String |
The endpoint. |
getEndpointBytes()
public ByteString getEndpointBytes() Required. The name of the Endpoint requested to serve the prediction.
Format:
projects/{project}/locations/{location}/endpoints/{endpoint}
string endpoint = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
| Returns | |
|---|---|
| Type | Description |
ByteString |
The bytes for endpoint. |
getHttpBody()
public HttpBody getHttpBody()The prediction input. Supports HTTP headers and arbitrary data payload.
A DeployedModel may have an upper limit on the number of instances it supports per request. When this limit it is exceeded for an AutoML model, the RawPredict method returns an error. When this limit is exceeded for a custom-trained model, the behavior varies depending on the model.
You can specify the schema for each instance in the
predict_schemata.instance_schema_uri
field when you create a Model. This
schema applies when you deploy the Model as a DeployedModel to an
Endpoint and use the RawPredict
method.
.google.api.HttpBody http_body = 2;
| Returns | |
|---|---|
| Type | Description |
com.google.api.HttpBody |
The httpBody. |
getHttpBodyBuilder()
public HttpBody.Builder getHttpBodyBuilder()The prediction input. Supports HTTP headers and arbitrary data payload.
A DeployedModel may have an upper limit on the number of instances it supports per request. When this limit it is exceeded for an AutoML model, the RawPredict method returns an error. When this limit is exceeded for a custom-trained model, the behavior varies depending on the model.
You can specify the schema for each instance in the
predict_schemata.instance_schema_uri
field when you create a Model. This
schema applies when you deploy the Model as a DeployedModel to an
Endpoint and use the RawPredict
method.
.google.api.HttpBody http_body = 2;
| Returns | |
|---|---|
| Type | Description |
com.google.api.HttpBody.Builder |
|
getHttpBodyOrBuilder()
public HttpBodyOrBuilder getHttpBodyOrBuilder()The prediction input. Supports HTTP headers and arbitrary data payload.
A DeployedModel may have an upper limit on the number of instances it supports per request. When this limit it is exceeded for an AutoML model, the RawPredict method returns an error. When this limit is exceeded for a custom-trained model, the behavior varies depending on the model.
You can specify the schema for each instance in the
predict_schemata.instance_schema_uri
field when you create a Model. This
schema applies when you deploy the Model as a DeployedModel to an
Endpoint and use the RawPredict
method.
.google.api.HttpBody http_body = 2;
| Returns | |
|---|---|
| Type | Description |
com.google.api.HttpBodyOrBuilder |
|
hasHttpBody()
public boolean hasHttpBody()The prediction input. Supports HTTP headers and arbitrary data payload.
A DeployedModel may have an upper limit on the number of instances it supports per request. When this limit it is exceeded for an AutoML model, the RawPredict method returns an error. When this limit is exceeded for a custom-trained model, the behavior varies depending on the model.
You can specify the schema for each instance in the
predict_schemata.instance_schema_uri
field when you create a Model. This
schema applies when you deploy the Model as a DeployedModel to an
Endpoint and use the RawPredict
method.
.google.api.HttpBody http_body = 2;
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the httpBody field is set. |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()| Returns | |
|---|---|
| Type | Description |
FieldAccessorTable |
|
isInitialized()
public final boolean isInitialized()| Returns | |
|---|---|
| Type | Description |
boolean |
|
mergeFrom(RawPredictRequest other)
public RawPredictRequest.Builder mergeFrom(RawPredictRequest other)| Parameter | |
|---|---|
| Name | Description |
other |
RawPredictRequest |
| Returns | |
|---|---|
| Type | Description |
RawPredictRequest.Builder |
|
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public RawPredictRequest.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)| Parameters | |
|---|---|
| Name | Description |
input |
CodedInputStream |
extensionRegistry |
ExtensionRegistryLite |
| Returns | |
|---|---|
| Type | Description |
RawPredictRequest.Builder |
|
| Exceptions | |
|---|---|
| Type | Description |
IOException |
|
mergeFrom(Message other)
public RawPredictRequest.Builder mergeFrom(Message other)| Parameter | |
|---|---|
| Name | Description |
other |
Message |
| Returns | |
|---|---|
| Type | Description |
RawPredictRequest.Builder |
|
mergeHttpBody(HttpBody value)
public RawPredictRequest.Builder mergeHttpBody(HttpBody value)The prediction input. Supports HTTP headers and arbitrary data payload.
A DeployedModel may have an upper limit on the number of instances it supports per request. When this limit it is exceeded for an AutoML model, the RawPredict method returns an error. When this limit is exceeded for a custom-trained model, the behavior varies depending on the model.
You can specify the schema for each instance in the
predict_schemata.instance_schema_uri
field when you create a Model. This
schema applies when you deploy the Model as a DeployedModel to an
Endpoint and use the RawPredict
method.
.google.api.HttpBody http_body = 2;
| Parameter | |
|---|---|
| Name | Description |
value |
com.google.api.HttpBody |
| Returns | |
|---|---|
| Type | Description |
RawPredictRequest.Builder |
|
mergeUnknownFields(UnknownFieldSet unknownFields)
public final RawPredictRequest.Builder mergeUnknownFields(UnknownFieldSet unknownFields)| Parameter | |
|---|---|
| Name | Description |
unknownFields |
UnknownFieldSet |
| Returns | |
|---|---|
| Type | Description |
RawPredictRequest.Builder |
|
setEndpoint(String value)
public RawPredictRequest.Builder setEndpoint(String value) Required. The name of the Endpoint requested to serve the prediction.
Format:
projects/{project}/locations/{location}/endpoints/{endpoint}
string endpoint = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
| Parameter | |
|---|---|
| Name | Description |
value |
StringThe endpoint to set. |
| Returns | |
|---|---|
| Type | Description |
RawPredictRequest.Builder |
This builder for chaining. |
setEndpointBytes(ByteString value)
public RawPredictRequest.Builder setEndpointBytes(ByteString value) Required. The name of the Endpoint requested to serve the prediction.
Format:
projects/{project}/locations/{location}/endpoints/{endpoint}
string endpoint = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
| Parameter | |
|---|---|
| Name | Description |
value |
ByteStringThe bytes for endpoint to set. |
| Returns | |
|---|---|
| Type | Description |
RawPredictRequest.Builder |
This builder for chaining. |
setField(Descriptors.FieldDescriptor field, Object value)
public RawPredictRequest.Builder setField(Descriptors.FieldDescriptor field, Object value)| Parameters | |
|---|---|
| Name | Description |
field |
FieldDescriptor |
value |
Object |
| Returns | |
|---|---|
| Type | Description |
RawPredictRequest.Builder |
|
setHttpBody(HttpBody value)
public RawPredictRequest.Builder setHttpBody(HttpBody value)The prediction input. Supports HTTP headers and arbitrary data payload.
A DeployedModel may have an upper limit on the number of instances it supports per request. When this limit it is exceeded for an AutoML model, the RawPredict method returns an error. When this limit is exceeded for a custom-trained model, the behavior varies depending on the model.
You can specify the schema for each instance in the
predict_schemata.instance_schema_uri
field when you create a Model. This
schema applies when you deploy the Model as a DeployedModel to an
Endpoint and use the RawPredict
method.
.google.api.HttpBody http_body = 2;
| Parameter | |
|---|---|
| Name | Description |
value |
com.google.api.HttpBody |
| Returns | |
|---|---|
| Type | Description |
RawPredictRequest.Builder |
|
setHttpBody(HttpBody.Builder builderForValue)
public RawPredictRequest.Builder setHttpBody(HttpBody.Builder builderForValue)The prediction input. Supports HTTP headers and arbitrary data payload.
A DeployedModel may have an upper limit on the number of instances it supports per request. When this limit it is exceeded for an AutoML model, the RawPredict method returns an error. When this limit is exceeded for a custom-trained model, the behavior varies depending on the model.
You can specify the schema for each instance in the
predict_schemata.instance_schema_uri
field when you create a Model. This
schema applies when you deploy the Model as a DeployedModel to an
Endpoint and use the RawPredict
method.
.google.api.HttpBody http_body = 2;
| Parameter | |
|---|---|
| Name | Description |
builderForValue |
com.google.api.HttpBody.Builder |
| Returns | |
|---|---|
| Type | Description |
RawPredictRequest.Builder |
|
setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
public RawPredictRequest.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)| Parameters | |
|---|---|
| Name | Description |
field |
FieldDescriptor |
index |
int |
value |
Object |
| Returns | |
|---|---|
| Type | Description |
RawPredictRequest.Builder |
|
setUnknownFields(UnknownFieldSet unknownFields)
public final RawPredictRequest.Builder setUnknownFields(UnknownFieldSet unknownFields)| Parameter | |
|---|---|
| Name | Description |
unknownFields |
UnknownFieldSet |
| Returns | |
|---|---|
| Type | Description |
RawPredictRequest.Builder |
|