Struct RecommendationJobContainerConfigBuilder

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

Expand description

A builder for RecommendationJobContainerConfig.

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impl RecommendationJobContainerConfigBuilder

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

The machine learning domain of the model and its components.

Valid Values: COMPUTER_VISION | NATURAL_LANGUAGE_PROCESSING | MACHINE_LEARNING

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

The machine learning domain of the model and its components.

Valid Values: COMPUTER_VISION | NATURAL_LANGUAGE_PROCESSING | MACHINE_LEARNING

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

The machine learning domain of the model and its components.

Valid Values: COMPUTER_VISION | NATURAL_LANGUAGE_PROCESSING | MACHINE_LEARNING

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

The machine learning task that the model accomplishes.

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

The machine learning task that the model accomplishes.

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

The machine learning task that the model accomplishes.

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

The machine learning framework of the container image.

Valid Values: TENSORFLOW | PYTORCH | XGBOOST | SAGEMAKER-SCIKIT-LEARN

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

The machine learning framework of the container image.

Valid Values: TENSORFLOW | PYTORCH | XGBOOST | SAGEMAKER-SCIKIT-LEARN

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

The machine learning framework of the container image.

Valid Values: TENSORFLOW | PYTORCH | XGBOOST | SAGEMAKER-SCIKIT-LEARN

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

The framework version of the container image.

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

The framework version of the container image.

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

The framework version of the container image.

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pub fn payload_config(self, input: RecommendationJobPayloadConfig) -> Self

Specifies the SamplePayloadUrl and all other sample payload-related fields.

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pub fn set_payload_config( self, input: Option<RecommendationJobPayloadConfig>, ) -> Self

Specifies the SamplePayloadUrl and all other sample payload-related fields.

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pub fn get_payload_config(&self) -> &Option<RecommendationJobPayloadConfig>

Specifies the SamplePayloadUrl and all other sample payload-related fields.

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

The name of a pre-trained machine learning model benchmarked by Amazon SageMaker Inference Recommender that matches your model.

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

The name of a pre-trained machine learning model benchmarked by Amazon SageMaker Inference Recommender that matches your model.

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

The name of a pre-trained machine learning model benchmarked by Amazon SageMaker Inference Recommender that matches your model.

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

Appends an item to supported_instance_types.

To override the contents of this collection use set_supported_instance_types.

A list of the instance types that are used to generate inferences in real-time.

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

A list of the instance types that are used to generate inferences in real-time.

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pub fn get_supported_instance_types(&self) -> &Option<Vec<String>>

A list of the instance types that are used to generate inferences in real-time.

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pub fn supported_endpoint_type( self, input: RecommendationJobSupportedEndpointType, ) -> Self

The endpoint type to receive recommendations for. By default this is null, and the results of the inference recommendation job return a combined list of both real-time and serverless benchmarks. By specifying a value for this field, you can receive a longer list of benchmarks for the desired endpoint type.

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pub fn set_supported_endpoint_type( self, input: Option<RecommendationJobSupportedEndpointType>, ) -> Self

The endpoint type to receive recommendations for. By default this is null, and the results of the inference recommendation job return a combined list of both real-time and serverless benchmarks. By specifying a value for this field, you can receive a longer list of benchmarks for the desired endpoint type.

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pub fn get_supported_endpoint_type( &self, ) -> &Option<RecommendationJobSupportedEndpointType>

The endpoint type to receive recommendations for. By default this is null, and the results of the inference recommendation job return a combined list of both real-time and serverless benchmarks. By specifying a value for this field, you can receive a longer list of benchmarks for the desired endpoint type.

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

Specifies the name and shape of the expected data inputs for your trained model with a JSON dictionary form. This field is used for optimizing your model using SageMaker Neo. For more information, see DataInputConfig.

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

Specifies the name and shape of the expected data inputs for your trained model with a JSON dictionary form. This field is used for optimizing your model using SageMaker Neo. For more information, see DataInputConfig.

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

Specifies the name and shape of the expected data inputs for your trained model with a JSON dictionary form. This field is used for optimizing your model using SageMaker Neo. For more information, see DataInputConfig.

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

Appends an item to supported_response_mime_types.

To override the contents of this collection use set_supported_response_mime_types.

The supported MIME types for the output data.

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

The supported MIME types for the output data.

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pub fn get_supported_response_mime_types(&self) -> &Option<Vec<String>>

The supported MIME types for the output data.

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pub fn build(self) -> RecommendationJobContainerConfig

Consumes the builder and constructs a RecommendationJobContainerConfig.

Trait Implementations§

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impl Clone for RecommendationJobContainerConfigBuilder

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fn clone(&self) -> RecommendationJobContainerConfigBuilder

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 RecommendationJobContainerConfigBuilder

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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 RecommendationJobContainerConfigBuilder

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fn default() -> RecommendationJobContainerConfigBuilder

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

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impl PartialEq for RecommendationJobContainerConfigBuilder

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fn eq(&self, other: &RecommendationJobContainerConfigBuilder) -> 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 RecommendationJobContainerConfigBuilder

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impl UnwindSafe for RecommendationJobContainerConfigBuilder

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Struct RecommendationJobContainerConfigBuilderCopy item path

Implementations§

impl RecommendationJobContainerConfigBuilder

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

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

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

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

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

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

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

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

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

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

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

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

pub fn payload_config(self, input: RecommendationJobPayloadConfig) -> Self

pub fn set_payload_config( self, input: Option<RecommendationJobPayloadConfig>, ) -> Self

pub fn get_payload_config(&self) -> &Option<RecommendationJobPayloadConfig>

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

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

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

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

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

pub fn get_supported_instance_types(&self) -> &Option<Vec<String>>

pub fn supported_endpoint_type( self, input: RecommendationJobSupportedEndpointType, ) -> Self

pub fn set_supported_endpoint_type( self, input: Option<RecommendationJobSupportedEndpointType>, ) -> Self

pub fn get_supported_endpoint_type( &self, ) -> &Option<RecommendationJobSupportedEndpointType>

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

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

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

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

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

pub fn get_supported_response_mime_types(&self) -> &Option<Vec<String>>

pub fn build(self) -> RecommendationJobContainerConfig

Trait Implementations§

impl Clone for RecommendationJobContainerConfigBuilder

fn clone(&self) -> RecommendationJobContainerConfigBuilder

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

impl Debug for RecommendationJobContainerConfigBuilder

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

impl Default for RecommendationJobContainerConfigBuilder

fn default() -> RecommendationJobContainerConfigBuilder

impl PartialEq for RecommendationJobContainerConfigBuilder

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

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

impl StructuralPartialEq for RecommendationJobContainerConfigBuilder

Auto Trait Implementations§

impl Freeze for RecommendationJobContainerConfigBuilder

impl RefUnwindSafe for RecommendationJobContainerConfigBuilder

impl Send for RecommendationJobContainerConfigBuilder

impl Sync for RecommendationJobContainerConfigBuilder

impl Unpin for RecommendationJobContainerConfigBuilder

impl UnwindSafe for RecommendationJobContainerConfigBuilder

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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 RecommendationJobContainerConfigBuilder

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,