Struct aws_sdk_machinelearning::client::Client

pub struct Client<C = DynConnector, M = AwsMiddleware, R = Standard> { /* fields omitted */ }

An ergonomic service client for AmazonML_20141212.

This client allows ergonomic access to a AmazonML_20141212-shaped service. Each method corresponds to an endpoint defined in the service’s Smithy model, and the request and response shapes are auto-generated from that same model.

Using a Client

Once you have a client set up, you can access the service’s endpoints by calling the appropriate method on Client. Each such method returns a request builder for that endpoint, with methods for setting the various fields of the request. Once your request is complete, use the send method to send the request. send returns a future, which you then have to .await to get the service’s response.

Implementations

impl<C, M, R> Client<C, M, R>

pub fn with_config(client: Client<C, M, R>, conf: Config) -> Self

Creates a client with the given service configuration.

pub fn conf(&self) -> &Config

Returns the client’s configuration.

impl<C, M, R> Client<C, M, R> where
    C: SmithyConnector,
    M: SmithyMiddleware<C>,
    R: NewRequestPolicy, 

pub fn add_tags(&self) -> AddTags<C, M, R>

Constructs a fluent builder for the AddTags operation.

See AddTags for more information about the operation and its arguments.

pub fn create_batch_prediction(&self) -> CreateBatchPrediction<C, M, R>

Constructs a fluent builder for the CreateBatchPrediction operation.

See CreateBatchPrediction for more information about the operation and its arguments.

pub fn create_data_source_from_rds(&self) -> CreateDataSourceFromRDS<C, M, R>

Constructs a fluent builder for the CreateDataSourceFromRDS operation.

See CreateDataSourceFromRDS for more information about the operation and its arguments.

pub fn create_data_source_from_redshift(
    &self
) -> CreateDataSourceFromRedshift<C, M, R>

Constructs a fluent builder for the CreateDataSourceFromRedshift operation.

See CreateDataSourceFromRedshift for more information about the operation and its arguments.

pub fn create_data_source_from_s3(&self) -> CreateDataSourceFromS3<C, M, R>

Constructs a fluent builder for the CreateDataSourceFromS3 operation.

See CreateDataSourceFromS3 for more information about the operation and its arguments.

pub fn create_evaluation(&self) -> CreateEvaluation<C, M, R>

Constructs a fluent builder for the CreateEvaluation operation.

See CreateEvaluation for more information about the operation and its arguments.

pub fn create_ml_model(&self) -> CreateMLModel<C, M, R>

Constructs a fluent builder for the CreateMLModel operation.

See CreateMLModel for more information about the operation and its arguments.

pub fn create_realtime_endpoint(&self) -> CreateRealtimeEndpoint<C, M, R>

Constructs a fluent builder for the CreateRealtimeEndpoint operation.

See CreateRealtimeEndpoint for more information about the operation and its arguments.

pub fn delete_batch_prediction(&self) -> DeleteBatchPrediction<C, M, R>

Constructs a fluent builder for the DeleteBatchPrediction operation.

See DeleteBatchPrediction for more information about the operation and its arguments.

pub fn delete_data_source(&self) -> DeleteDataSource<C, M, R>

Constructs a fluent builder for the DeleteDataSource operation.

See DeleteDataSource for more information about the operation and its arguments.

pub fn delete_evaluation(&self) -> DeleteEvaluation<C, M, R>

Constructs a fluent builder for the DeleteEvaluation operation.

See DeleteEvaluation for more information about the operation and its arguments.

pub fn delete_ml_model(&self) -> DeleteMLModel<C, M, R>

Constructs a fluent builder for the DeleteMLModel operation.

See DeleteMLModel for more information about the operation and its arguments.

pub fn delete_realtime_endpoint(&self) -> DeleteRealtimeEndpoint<C, M, R>

Constructs a fluent builder for the DeleteRealtimeEndpoint operation.

See DeleteRealtimeEndpoint for more information about the operation and its arguments.

pub fn delete_tags(&self) -> DeleteTags<C, M, R>

Constructs a fluent builder for the DeleteTags operation.

See DeleteTags for more information about the operation and its arguments.

pub fn describe_batch_predictions(&self) -> DescribeBatchPredictions<C, M, R>

Constructs a fluent builder for the DescribeBatchPredictions operation.

See DescribeBatchPredictions for more information about the operation and its arguments.

pub fn describe_data_sources(&self) -> DescribeDataSources<C, M, R>

Constructs a fluent builder for the DescribeDataSources operation.

See DescribeDataSources for more information about the operation and its arguments.

pub fn describe_evaluations(&self) -> DescribeEvaluations<C, M, R>

Constructs a fluent builder for the DescribeEvaluations operation.

See DescribeEvaluations for more information about the operation and its arguments.

pub fn describe_ml_models(&self) -> DescribeMLModels<C, M, R>

Constructs a fluent builder for the DescribeMLModels operation.

See DescribeMLModels for more information about the operation and its arguments.

pub fn describe_tags(&self) -> DescribeTags<C, M, R>

Constructs a fluent builder for the DescribeTags operation.

See DescribeTags for more information about the operation and its arguments.

pub fn get_batch_prediction(&self) -> GetBatchPrediction<C, M, R>

Constructs a fluent builder for the GetBatchPrediction operation.

See GetBatchPrediction for more information about the operation and its arguments.

pub fn get_data_source(&self) -> GetDataSource<C, M, R>

Constructs a fluent builder for the GetDataSource operation.

See GetDataSource for more information about the operation and its arguments.

pub fn get_evaluation(&self) -> GetEvaluation<C, M, R>

Constructs a fluent builder for the GetEvaluation operation.

See GetEvaluation for more information about the operation and its arguments.

pub fn get_ml_model(&self) -> GetMLModel<C, M, R>

Constructs a fluent builder for the GetMLModel operation.

See GetMLModel for more information about the operation and its arguments.

pub fn predict(&self) -> Predict<C, M, R>

Constructs a fluent builder for the Predict operation.

See Predict for more information about the operation and its arguments.

pub fn update_batch_prediction(&self) -> UpdateBatchPrediction<C, M, R>

Constructs a fluent builder for the UpdateBatchPrediction operation.

See UpdateBatchPrediction for more information about the operation and its arguments.

pub fn update_data_source(&self) -> UpdateDataSource<C, M, R>

Constructs a fluent builder for the UpdateDataSource operation.

See UpdateDataSource for more information about the operation and its arguments.

pub fn update_evaluation(&self) -> UpdateEvaluation<C, M, R>

Constructs a fluent builder for the UpdateEvaluation operation.

See UpdateEvaluation for more information about the operation and its arguments.

pub fn update_ml_model(&self) -> UpdateMLModel<C, M, R>

Constructs a fluent builder for the UpdateMLModel operation.

See UpdateMLModel for more information about the operation and its arguments.

impl<C> Client<C, AwsMiddleware, Standard>

pub fn from_conf_conn(conf: Config, conn: C) -> Self

Creates a client with the given service config and connector override.

impl Client<DynConnector, AwsMiddleware, Standard>

pub fn new(config: &Config) -> Self

Creates a new client from a shared config.

pub fn from_conf(conf: Config) -> Self

Creates a new client from the service Config.

Trait Implementations

impl<C, M, R> Clone for Client<C, M, R>

fn clone(&self) -> Self

Returns a copy of the value.

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

Performs copy-assignment from source.

impl<C: Debug, M: Debug, R: Debug> Debug for Client<C, M, R>

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

Formats the value using the given formatter.

impl<C, M, R> From<Client<C, M, R>> for Client<C, M, R>

fn from(client: Client<C, M, R>) -> Self

Performs the conversion.