Struct RecommendationJobInputConfigBuilder

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#[non_exhaustive]
pub struct RecommendationJobInputConfigBuilder { /* private fields */ }

Expand description

A builder for RecommendationJobInputConfig.

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impl RecommendationJobInputConfigBuilder

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pub fn model_package_version_arn(self, input: impl Into<String>) -> Self

The Amazon Resource Name (ARN) of a versioned model package.

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pub fn set_model_package_version_arn(self, input: Option<String>) -> Self

The Amazon Resource Name (ARN) of a versioned model package.

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pub fn get_model_package_version_arn(&self) -> &Option<String>

The Amazon Resource Name (ARN) of a versioned model package.

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pub fn model_name(self, input: impl Into<String>) -> Self

The name of the created model.

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pub fn set_model_name(self, input: Option<String>) -> Self

The name of the created model.

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pub fn get_model_name(&self) -> &Option<String>

The name of the created model.

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pub fn job_duration_in_seconds(self, input: i32) -> Self

Specifies the maximum duration of the job, in seconds. The maximum value is 18,000 seconds.

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pub fn set_job_duration_in_seconds(self, input: Option<i32>) -> Self

Specifies the maximum duration of the job, in seconds. The maximum value is 18,000 seconds.

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pub fn get_job_duration_in_seconds(&self) -> &Option<i32>

Specifies the maximum duration of the job, in seconds. The maximum value is 18,000 seconds.

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pub fn traffic_pattern(self, input: TrafficPattern) -> Self

Specifies the traffic pattern of the job.

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pub fn set_traffic_pattern(self, input: Option<TrafficPattern>) -> Self

Specifies the traffic pattern of the job.

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pub fn get_traffic_pattern(&self) -> &Option<TrafficPattern>

Specifies the traffic pattern of the job.

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pub fn resource_limit(self, input: RecommendationJobResourceLimit) -> Self

Defines the resource limit of the job.

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pub fn set_resource_limit( self, input: Option<RecommendationJobResourceLimit>, ) -> Self

Defines the resource limit of the job.

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pub fn get_resource_limit(&self) -> &Option<RecommendationJobResourceLimit>

Defines the resource limit of the job.

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pub fn endpoint_configurations(self, input: EndpointInputConfiguration) -> Self

Appends an item to endpoint_configurations.

To override the contents of this collection use set_endpoint_configurations.

Specifies the endpoint configuration to use for a job.

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pub fn set_endpoint_configurations( self, input: Option<Vec<EndpointInputConfiguration>>, ) -> Self

Specifies the endpoint configuration to use for a job.

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pub fn get_endpoint_configurations( &self, ) -> &Option<Vec<EndpointInputConfiguration>>

Specifies the endpoint configuration to use for a job.

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pub fn volume_kms_key_id(self, input: impl Into<String>) -> Self

The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint. This key will be passed to SageMaker Hosting for endpoint creation.

The SageMaker execution role must have kms:CreateGrant permission in order to encrypt data on the storage volume of the endpoints created for inference recommendation. The inference recommendation job will fail asynchronously during endpoint configuration creation if the role passed does not have kms:CreateGrant permission.

The KmsKeyId can be any of the following formats:

// KMS Key ID

"1234abcd-12ab-34cd-56ef-1234567890ab"
// Amazon Resource Name (ARN) of a KMS Key

"arn:aws:kms:<region>:<account>:key/<key-id-12ab-34cd-56ef-1234567890ab>"
// KMS Key Alias

"alias/ExampleAlias"
// Amazon Resource Name (ARN) of a KMS Key Alias

"arn:aws:kms:<region>:<account>:alias/<ExampleAlias>"

For more information about key identifiers, see Key identifiers (KeyID) in the Amazon Web Services Key Management Service (Amazon Web Services KMS) documentation.

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pub fn set_volume_kms_key_id(self, input: Option<String>) -> Self

The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint. This key will be passed to SageMaker Hosting for endpoint creation.

The SageMaker execution role must have kms:CreateGrant permission in order to encrypt data on the storage volume of the endpoints created for inference recommendation. The inference recommendation job will fail asynchronously during endpoint configuration creation if the role passed does not have kms:CreateGrant permission.

The KmsKeyId can be any of the following formats:

// KMS Key ID

"1234abcd-12ab-34cd-56ef-1234567890ab"
// Amazon Resource Name (ARN) of a KMS Key

"arn:aws:kms:<region>:<account>:key/<key-id-12ab-34cd-56ef-1234567890ab>"
// KMS Key Alias

"alias/ExampleAlias"
// Amazon Resource Name (ARN) of a KMS Key Alias

"arn:aws:kms:<region>:<account>:alias/<ExampleAlias>"

For more information about key identifiers, see Key identifiers (KeyID) in the Amazon Web Services Key Management Service (Amazon Web Services KMS) documentation.

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pub fn get_volume_kms_key_id(&self) -> &Option<String>

The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint. This key will be passed to SageMaker Hosting for endpoint creation.

The SageMaker execution role must have kms:CreateGrant permission in order to encrypt data on the storage volume of the endpoints created for inference recommendation. The inference recommendation job will fail asynchronously during endpoint configuration creation if the role passed does not have kms:CreateGrant permission.

The KmsKeyId can be any of the following formats:

// KMS Key ID

"1234abcd-12ab-34cd-56ef-1234567890ab"
// Amazon Resource Name (ARN) of a KMS Key

"arn:aws:kms:<region>:<account>:key/<key-id-12ab-34cd-56ef-1234567890ab>"
// KMS Key Alias

"alias/ExampleAlias"
// Amazon Resource Name (ARN) of a KMS Key Alias

"arn:aws:kms:<region>:<account>:alias/<ExampleAlias>"

For more information about key identifiers, see Key identifiers (KeyID) in the Amazon Web Services Key Management Service (Amazon Web Services KMS) documentation.

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pub fn container_config(self, input: RecommendationJobContainerConfig) -> Self

Specifies mandatory fields for running an Inference Recommender job. The fields specified in ContainerConfig override the corresponding fields in the model package.

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pub fn set_container_config( self, input: Option<RecommendationJobContainerConfig>, ) -> Self

Specifies mandatory fields for running an Inference Recommender job. The fields specified in ContainerConfig override the corresponding fields in the model package.

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pub fn get_container_config(&self) -> &Option<RecommendationJobContainerConfig>

Specifies mandatory fields for running an Inference Recommender job. The fields specified in ContainerConfig override the corresponding fields in the model package.

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pub fn endpoints(self, input: EndpointInfo) -> Self

Appends an item to endpoints.

To override the contents of this collection use set_endpoints.

Existing customer endpoints on which to run an Inference Recommender job.

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pub fn set_endpoints(self, input: Option<Vec<EndpointInfo>>) -> Self

Existing customer endpoints on which to run an Inference Recommender job.

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pub fn get_endpoints(&self) -> &Option<Vec<EndpointInfo>>

Existing customer endpoints on which to run an Inference Recommender job.

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pub fn vpc_config(self, input: RecommendationJobVpcConfig) -> Self

Inference Recommender provisions SageMaker endpoints with access to VPC in the inference recommendation job.

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pub fn set_vpc_config(self, input: Option<RecommendationJobVpcConfig>) -> Self

Inference Recommender provisions SageMaker endpoints with access to VPC in the inference recommendation job.

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pub fn get_vpc_config(&self) -> &Option<RecommendationJobVpcConfig>

Inference Recommender provisions SageMaker endpoints with access to VPC in the inference recommendation job.

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pub fn build(self) -> RecommendationJobInputConfig

Consumes the builder and constructs a RecommendationJobInputConfig.

Trait Implementations§

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impl Clone for RecommendationJobInputConfigBuilder

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fn clone(&self) -> RecommendationJobInputConfigBuilder

Returns a duplicate of the value. Read more

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

Performs copy-assignment from source. Read more

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impl Debug for RecommendationJobInputConfigBuilder

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

Formats the value using the given formatter. Read more

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impl Default for RecommendationJobInputConfigBuilder

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fn default() -> RecommendationJobInputConfigBuilder

Returns the “default value” for a type. Read more

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impl PartialEq for RecommendationJobInputConfigBuilder

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fn eq(&self, other: &RecommendationJobInputConfigBuilder) -> bool

Tests for self and other values to be equal, and is used by ==.

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fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

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impl StructuralPartialEq for RecommendationJobInputConfigBuilder

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impl UnwindSafe for RecommendationJobInputConfigBuilder

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Struct RecommendationJobInputConfigBuilderCopy item path

Implementations§

impl RecommendationJobInputConfigBuilder

pub fn model_package_version_arn(self, input: impl Into<String>) -> Self

pub fn set_model_package_version_arn(self, input: Option<String>) -> Self

pub fn get_model_package_version_arn(&self) -> &Option<String>

pub fn model_name(self, input: impl Into<String>) -> Self

pub fn set_model_name(self, input: Option<String>) -> Self

pub fn get_model_name(&self) -> &Option<String>

pub fn job_duration_in_seconds(self, input: i32) -> Self

pub fn set_job_duration_in_seconds(self, input: Option<i32>) -> Self

pub fn get_job_duration_in_seconds(&self) -> &Option<i32>

pub fn traffic_pattern(self, input: TrafficPattern) -> Self

pub fn set_traffic_pattern(self, input: Option<TrafficPattern>) -> Self

pub fn get_traffic_pattern(&self) -> &Option<TrafficPattern>

pub fn resource_limit(self, input: RecommendationJobResourceLimit) -> Self

pub fn set_resource_limit( self, input: Option<RecommendationJobResourceLimit>, ) -> Self

pub fn get_resource_limit(&self) -> &Option<RecommendationJobResourceLimit>

pub fn endpoint_configurations(self, input: EndpointInputConfiguration) -> Self

pub fn set_endpoint_configurations( self, input: Option<Vec<EndpointInputConfiguration>>, ) -> Self

pub fn get_endpoint_configurations( &self, ) -> &Option<Vec<EndpointInputConfiguration>>

pub fn volume_kms_key_id(self, input: impl Into<String>) -> Self

pub fn set_volume_kms_key_id(self, input: Option<String>) -> Self

pub fn get_volume_kms_key_id(&self) -> &Option<String>

pub fn container_config(self, input: RecommendationJobContainerConfig) -> Self

pub fn set_container_config( self, input: Option<RecommendationJobContainerConfig>, ) -> Self

pub fn get_container_config(&self) -> &Option<RecommendationJobContainerConfig>

pub fn endpoints(self, input: EndpointInfo) -> Self

pub fn set_endpoints(self, input: Option<Vec<EndpointInfo>>) -> Self

pub fn get_endpoints(&self) -> &Option<Vec<EndpointInfo>>

pub fn vpc_config(self, input: RecommendationJobVpcConfig) -> Self

pub fn set_vpc_config(self, input: Option<RecommendationJobVpcConfig>) -> Self

pub fn get_vpc_config(&self) -> &Option<RecommendationJobVpcConfig>

pub fn build(self) -> RecommendationJobInputConfig

Trait Implementations§

impl Clone for RecommendationJobInputConfigBuilder

fn clone(&self) -> RecommendationJobInputConfigBuilder

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

impl Debug for RecommendationJobInputConfigBuilder

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

impl Default for RecommendationJobInputConfigBuilder

fn default() -> RecommendationJobInputConfigBuilder

impl PartialEq for RecommendationJobInputConfigBuilder

fn eq(&self, other: &RecommendationJobInputConfigBuilder) -> bool

fn ne(&self, other: &Rhs) -> bool

impl StructuralPartialEq for RecommendationJobInputConfigBuilder

Auto Trait Implementations§

impl Freeze for RecommendationJobInputConfigBuilder

impl RefUnwindSafe for RecommendationJobInputConfigBuilder

impl Send for RecommendationJobInputConfigBuilder

impl Sync for RecommendationJobInputConfigBuilder

impl Unpin for RecommendationJobInputConfigBuilder

impl UnwindSafe for RecommendationJobInputConfigBuilder

Blanket Implementations§

impl<T> Any for Twhere T: 'static + ?Sized,

fn type_id(&self) -> TypeId

impl<T> Borrow<T> for Twhere T: ?Sized,

fn borrow(&self) -> &T

impl<T> BorrowMut<T> for Twhere T: ?Sized,

fn borrow_mut(&mut self) -> &mut T

impl<T> CloneToUninit for Twhere T: Clone,

unsafe fn clone_to_uninit(&self, dest: *mut u8)

impl<T> From<T> for T

fn from(t: T) -> T

impl<T> Instrument for T

fn instrument(self, span: Span) -> Instrumented<Self>

fn in_current_span(self) -> Instrumented<Self>

impl<T, U> Into<U> for Twhere U: From<T>,

fn into(self) -> U

impl<T> IntoEither for T

fn into_either(self, into_left: bool) -> Either<Self, Self>

fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>where F: FnOnce(&Self) -> bool,

impl<Unshared, Shared> IntoShared<Shared> for Unsharedwhere Shared: FromUnshared<Unshared>,

fn into_shared(self) -> Shared

impl<T> Paint for Twhere T: ?Sized,

fn fg(&self, value: Color) -> Painted<&T>

§Example

fn primary(&self) -> Painted<&T>

§Example

fn fixed(&self, color: u8) -> Painted<&T>

Struct RecommendationJobInputConfigBuilder

impl<T> Any for T
where T: 'static + ?Sized,

impl<T> Borrow<T> for T
where T: ?Sized,

impl<T> BorrowMut<T> for T
where T: ?Sized,

impl<T> CloneToUninit for T
where T: Clone,

impl<T, U> Into<U> for T
where U: From<T>,

fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
where F: FnOnce(&Self) -> bool,

impl<Unshared, Shared> IntoShared<Shared> for Unshared
where Shared: FromUnshared<Unshared>,

impl<T> Paint for T
where T: ?Sized,