Struct google_api_proto::google::cloud::retail::v2beta::model_service_client::ModelServiceClient

pub struct ModelServiceClient<T> { /* private fields */ }

Service for performing CRUD operations on models. Recommendation models contain all the metadata necessary to generate a set of models for the Predict() API. A model is queried indirectly via a ServingConfig, which associates a model with a given Placement (e.g. Frequently Bought Together on Home Page).

This service allows you to do the following:

• Initiate training of a model.
• Pause training of an existing model.
• List all the available models along with their metadata.
• Control their tuning schedule.

Implementations

impl<T> ModelServiceClient<T>

where T: GrpcService<BoxBody>, T::Error: Into<StdError>, T::ResponseBody: Body<Data = Bytes> + Send + 'static, <T::ResponseBody as Body>::Error: Into<StdError> + Send,

pub fn new(inner: T) -> Self

pub fn with_origin(inner: T, origin: Uri) -> Self

pub fn with_interceptor<F>( inner: T, interceptor: F, ) -> ModelServiceClient<InterceptedService<T, F>>

where F: Interceptor, T::ResponseBody: Default, T: Service<Request<BoxBody>, Response = Response<<T as GrpcService<BoxBody>>::ResponseBody>>, <T as Service<Request<BoxBody>>>::Error: Into<StdError> + Send + Sync,

pub fn send_compressed(self, encoding: CompressionEncoding) -> Self

Compress requests with the given encoding.

This requires the server to support it otherwise it might respond with an error.

pub fn accept_compressed(self, encoding: CompressionEncoding) -> Self

Enable decompressing responses.

pub fn max_decoding_message_size(self, limit: usize) -> Self

Limits the maximum size of a decoded message.

Default: 4MB

pub fn max_encoding_message_size(self, limit: usize) -> Self

Limits the maximum size of an encoded message.

Default: usize::MAX

pub async fn create_model( &mut self, request: impl IntoRequest<CreateModelRequest>, ) -> Result<Response<Operation>, Status>

Creates a new model.

pub async fn get_model( &mut self, request: impl IntoRequest<GetModelRequest>, ) -> Result<Response<Model>, Status>

Gets a model.

pub async fn pause_model( &mut self, request: impl IntoRequest<PauseModelRequest>, ) -> Result<Response<Model>, Status>

Pauses the training of an existing model.

pub async fn resume_model( &mut self, request: impl IntoRequest<ResumeModelRequest>, ) -> Result<Response<Model>, Status>

Resumes the training of an existing model.

pub async fn delete_model( &mut self, request: impl IntoRequest<DeleteModelRequest>, ) -> Result<Response<()>, Status>

Deletes an existing model.

pub async fn list_models( &mut self, request: impl IntoRequest<ListModelsRequest>, ) -> Result<Response<ListModelsResponse>, Status>

Lists all the models linked to this event store.

pub async fn update_model( &mut self, request: impl IntoRequest<UpdateModelRequest>, ) -> Result<Response<Model>, Status>

Update of model metadata. Only fields that currently can be updated are: filtering_option and periodic_tuning_state. If other values are provided, this API method ignores them.

pub async fn tune_model( &mut self, request: impl IntoRequest<TuneModelRequest>, ) -> Result<Response<Operation>, Status>

Tunes an existing model.

Trait Implementations

impl<T: Clone> Clone for ModelServiceClient<T>

fn clone(&self) -> ModelServiceClient<T>

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl<T: Debug> Debug for ModelServiceClient<T>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.