Interface RawPredictRequestOrBuilder (1.5.0)

public interface RawPredictRequestOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

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.