public interface RawPredictRequestOrBuilder extends MessageOrBuilderImplements
MessageOrBuilderMethods
getEndpoint()
public abstract 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 abstract 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 abstract 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. |
getHttpBodyOrBuilder()
public abstract 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 abstract 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. |