Struct googapis::google::cloud::aiplatform::v1::prediction_service_client::PredictionServiceClient [−][src]
pub struct PredictionServiceClient<T> { /* fields omitted */ }
Expand description
A service for online predictions and explanations.
Implementations
impl<T> PredictionServiceClient<T> where
T: GrpcService<BoxBody>,
T::ResponseBody: Body + Send + 'static,
T::Error: Into<StdError>,
<T::ResponseBody as Body>::Error: Into<StdError> + Send,
impl<T> PredictionServiceClient<T> where
T: GrpcService<BoxBody>,
T::ResponseBody: Body + Send + 'static,
T::Error: Into<StdError>,
<T::ResponseBody as Body>::Error: Into<StdError> + Send,
pub fn with_interceptor<F>(
inner: T,
interceptor: F
) -> PredictionServiceClient<InterceptedService<T, F>> where
F: Interceptor,
T: Service<Request<BoxBody>, Response = Response<<T as GrpcService<BoxBody>>::ResponseBody>>,
<T as Service<Request<BoxBody>>>::Error: Into<StdError> + Send + Sync,
Compress requests with gzip
.
This requires the server to support it otherwise it might respond with an error.
Enable decompressing responses with gzip
.
pub async fn predict(
&mut self,
request: impl IntoRequest<PredictRequest>
) -> Result<Response<PredictResponse>, Status>
pub async fn predict(
&mut self,
request: impl IntoRequest<PredictRequest>
) -> Result<Response<PredictResponse>, Status>
Perform an online prediction.
pub async fn raw_predict(
&mut self,
request: impl IntoRequest<RawPredictRequest>
) -> Result<Response<HttpBody>, Status>
pub async fn raw_predict(
&mut self,
request: impl IntoRequest<RawPredictRequest>
) -> Result<Response<HttpBody>, Status>
Perform an online prediction with an arbitrary HTTP payload.
The response includes the following HTTP headers:
-
X-Vertex-AI-Endpoint-Id
: ID of the [Endpoint][google.cloud.aiplatform.v1.Endpoint] that served this prediction. -
X-Vertex-AI-Deployed-Model-Id
: ID of the Endpoint’s [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] that served this prediction.
pub async fn explain(
&mut self,
request: impl IntoRequest<ExplainRequest>
) -> Result<Response<ExplainResponse>, Status>
pub async fn explain(
&mut self,
request: impl IntoRequest<ExplainRequest>
) -> Result<Response<ExplainResponse>, Status>
Perform an online explanation.
If [deployed_model_id][google.cloud.aiplatform.v1.ExplainRequest.deployed_model_id] is specified, the corresponding DeployModel must have [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] populated. If [deployed_model_id][google.cloud.aiplatform.v1.ExplainRequest.deployed_model_id] is not specified, all DeployedModels must have [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] populated. Only deployed AutoML tabular Models have explanation_spec.
Trait Implementations
Auto Trait Implementations
impl<T> RefUnwindSafe for PredictionServiceClient<T> where
T: RefUnwindSafe,
impl<T> Send for PredictionServiceClient<T> where
T: Send,
impl<T> Sync for PredictionServiceClient<T> where
T: Sync,
impl<T> Unpin for PredictionServiceClient<T> where
T: Unpin,
impl<T> UnwindSafe for PredictionServiceClient<T> where
T: UnwindSafe,
Blanket Implementations
Mutably borrows from an owned value. Read more
Wrap the input message T
in a tonic::Request
pub fn vzip(self) -> V
Attaches the provided Subscriber
to this type, returning a
WithDispatch
wrapper. Read more
Attaches the current default Subscriber
to this type, returning a
WithDispatch
wrapper. Read more