Struct CreateTrainingDatasetInputBuilder 

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

A builder for CreateTrainingDatasetInput.

Implementations

impl CreateTrainingDatasetInputBuilder

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

The name of the training dataset. This name must be unique in your account and region.

This field is required.

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

The name of the training dataset. This name must be unique in your account and region.

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

The name of the training dataset. This name must be unique in your account and region.

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

The ARN of the IAM role that Clean Rooms ML can assume to read the data referred to in the dataSource field of each dataset.

Passing a role across AWS accounts is not allowed. If you pass a role that isn't in your account, you get an AccessDeniedException error.

This field is required.

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

The ARN of the IAM role that Clean Rooms ML can assume to read the data referred to in the dataSource field of each dataset.

Passing a role across AWS accounts is not allowed. If you pass a role that isn't in your account, you get an AccessDeniedException error.

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

The ARN of the IAM role that Clean Rooms ML can assume to read the data referred to in the dataSource field of each dataset.

Passing a role across AWS accounts is not allowed. If you pass a role that isn't in your account, you get an AccessDeniedException error.

pub fn training_data(self, input: Dataset) -> Self

Appends an item to training_data.

To override the contents of this collection use set_training_data.

An array of information that lists the Dataset objects, which specifies the dataset type and details on its location and schema. You must provide a role that has read access to these tables.

pub fn set_training_data(self, input: Option<Vec<Dataset>>) -> Self

An array of information that lists the Dataset objects, which specifies the dataset type and details on its location and schema. You must provide a role that has read access to these tables.

pub fn get_training_data(&self) -> &Option<Vec<Dataset>>

An array of information that lists the Dataset objects, which specifies the dataset type and details on its location and schema. You must provide a role that has read access to these tables.

pub fn tags(self, k: impl Into<String>, v: impl Into<String>) -> Self

Adds a key-value pair to tags.

To override the contents of this collection use set_tags.

The optional metadata that you apply to the resource to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define.

The following basic restrictions apply to tags:

• Maximum number of tags per resource - 50.

• For each resource, each tag key must be unique, and each tag key can have only one value.

• Maximum key length - 128 Unicode characters in UTF-8.

• Maximum value length - 256 Unicode characters in UTF-8.

• If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.

• Tag keys and values are case sensitive.

• Do not use aws:, AWS:, or any upper or lowercase combination of such as a prefix for keys as it is reserved for AWS use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value has aws as its prefix but the key does not, then Clean Rooms ML considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of aws do not count against your tags per resource limit.

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

The optional metadata that you apply to the resource to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define.

The following basic restrictions apply to tags:

• Maximum number of tags per resource - 50.

• For each resource, each tag key must be unique, and each tag key can have only one value.

• Maximum key length - 128 Unicode characters in UTF-8.

• Maximum value length - 256 Unicode characters in UTF-8.

• If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.

• Tag keys and values are case sensitive.

• Do not use aws:, AWS:, or any upper or lowercase combination of such as a prefix for keys as it is reserved for AWS use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value has aws as its prefix but the key does not, then Clean Rooms ML considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of aws do not count against your tags per resource limit.

pub fn get_tags(&self) -> &Option<HashMap<String, String>>

The optional metadata that you apply to the resource to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define.

The following basic restrictions apply to tags:

• Maximum number of tags per resource - 50.

• For each resource, each tag key must be unique, and each tag key can have only one value.

• Maximum key length - 128 Unicode characters in UTF-8.

• Maximum value length - 256 Unicode characters in UTF-8.

• If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.

• Tag keys and values are case sensitive.

• Do not use aws:, AWS:, or any upper or lowercase combination of such as a prefix for keys as it is reserved for AWS use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value has aws as its prefix but the key does not, then Clean Rooms ML considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of aws do not count against your tags per resource limit.

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

The description of the training dataset.

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

The description of the training dataset.

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

The description of the training dataset.

pub fn build(self) -> Result<CreateTrainingDatasetInput, BuildError>

Consumes the builder and constructs a CreateTrainingDatasetInput.

impl CreateTrainingDatasetInputBuilder

pub async fn send_with( self, client: &Client, ) -> Result<CreateTrainingDatasetOutput, SdkError<CreateTrainingDatasetError, HttpResponse>>

Sends a request with this input using the given client.

Trait Implementations

impl Clone for CreateTrainingDatasetInputBuilder

fn clone(&self) -> CreateTrainingDatasetInputBuilder

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for CreateTrainingDatasetInputBuilder

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

Formats the value using the given formatter.

impl Default for CreateTrainingDatasetInputBuilder

fn default() -> CreateTrainingDatasetInputBuilder

Returns the “default value” for a type.

impl PartialEq for CreateTrainingDatasetInputBuilder

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

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

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

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

impl StructuralPartialEq for CreateTrainingDatasetInputBuilder