Struct CreateExplainabilityInputBuilder

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

A builder for CreateExplainabilityInput.

Implementations

impl CreateExplainabilityInputBuilder

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

A unique name for the Explainability.

This field is required.

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

A unique name for the Explainability.

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

A unique name for the Explainability.

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

The Amazon Resource Name (ARN) of the Predictor or Forecast used to create the Explainability.

This field is required.

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

The Amazon Resource Name (ARN) of the Predictor or Forecast used to create the Explainability.

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

The Amazon Resource Name (ARN) of the Predictor or Forecast used to create the Explainability.

pub fn explainability_config(self, input: ExplainabilityConfig) -> Self

The configuration settings that define the granularity of time series and time points for the Explainability.

This field is required.

pub fn set_explainability_config( self, input: Option<ExplainabilityConfig>, ) -> Self

The configuration settings that define the granularity of time series and time points for the Explainability.

pub fn get_explainability_config(&self) -> &Option<ExplainabilityConfig>

The configuration settings that define the granularity of time series and time points for the Explainability.

pub fn data_source(self, input: DataSource) -> Self

The source of your data, an Identity and Access Management (IAM) role that allows Amazon Forecast to access the data and, optionally, an Key Management Service (KMS) key.

pub fn set_data_source(self, input: Option<DataSource>) -> Self

The source of your data, an Identity and Access Management (IAM) role that allows Amazon Forecast to access the data and, optionally, an Key Management Service (KMS) key.

pub fn get_data_source(&self) -> &Option<DataSource>

The source of your data, an Identity and Access Management (IAM) role that allows Amazon Forecast to access the data and, optionally, an Key Management Service (KMS) key.

pub fn schema(self, input: Schema) -> Self

Defines the fields of a dataset.

pub fn set_schema(self, input: Option<Schema>) -> Self

Defines the fields of a dataset.

pub fn get_schema(&self) -> &Option<Schema>

Defines the fields of a dataset.

pub fn enable_visualization(self, input: bool) -> Self

Create an Explainability visualization that is viewable within the Amazon Web Services console.

pub fn set_enable_visualization(self, input: Option<bool>) -> Self

Create an Explainability visualization that is viewable within the Amazon Web Services console.

pub fn get_enable_visualization(&self) -> &Option<bool>

Create an Explainability visualization that is viewable within the Amazon Web Services console.

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

If TimePointGranularity is set to SPECIFIC, define the first point for the Explainability.

Use the following timestamp format: yyyy-MM-ddTHH:mm:ss (example: 2015-01-01T20:00:00)

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

If TimePointGranularity is set to SPECIFIC, define the first point for the Explainability.

Use the following timestamp format: yyyy-MM-ddTHH:mm:ss (example: 2015-01-01T20:00:00)

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

If TimePointGranularity is set to SPECIFIC, define the first point for the Explainability.

Use the following timestamp format: yyyy-MM-ddTHH:mm:ss (example: 2015-01-01T20:00:00)

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

If TimePointGranularity is set to SPECIFIC, define the last time point for the Explainability.

Use the following timestamp format: yyyy-MM-ddTHH:mm:ss (example: 2015-01-01T20:00:00)

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

If TimePointGranularity is set to SPECIFIC, define the last time point for the Explainability.

Use the following timestamp format: yyyy-MM-ddTHH:mm:ss (example: 2015-01-01T20:00:00)

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

If TimePointGranularity is set to SPECIFIC, define the last time point for the Explainability.

Use the following timestamp format: yyyy-MM-ddTHH:mm:ss (example: 2015-01-01T20:00:00)

pub fn tags(self, input: Tag) -> Self

Appends an item to tags.

To override the contents of this collection use set_tags.

Optional metadata to help you categorize and organize your resources. Each tag consists of a key and an optional value, both of which you define. Tag keys and values are case sensitive.

The following restrictions apply to tags:

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

• Maximum number of tags per resource: 50.

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

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

• Accepted characters: all letters and numbers, spaces representable in UTF-8, and + - = . _ : / @. If your tagging schema is used across other services and resources, the character restrictions of those services also apply.

• Key prefixes cannot include any upper or lowercase combination of aws: or AWS:. Values can have this prefix. If a tag value has aws as its prefix but the key does not, Forecast 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. You cannot edit or delete tag keys with this prefix.

pub fn set_tags(self, input: Option<Vec<Tag>>) -> Self

Optional metadata to help you categorize and organize your resources. Each tag consists of a key and an optional value, both of which you define. Tag keys and values are case sensitive.

The following restrictions apply to tags:

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

• Maximum number of tags per resource: 50.

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

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

• Accepted characters: all letters and numbers, spaces representable in UTF-8, and + - = . _ : / @. If your tagging schema is used across other services and resources, the character restrictions of those services also apply.

• Key prefixes cannot include any upper or lowercase combination of aws: or AWS:. Values can have this prefix. If a tag value has aws as its prefix but the key does not, Forecast 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. You cannot edit or delete tag keys with this prefix.

pub fn get_tags(&self) -> &Option<Vec<Tag>>

Optional metadata to help you categorize and organize your resources. Each tag consists of a key and an optional value, both of which you define. Tag keys and values are case sensitive.

The following restrictions apply to tags:

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

• Maximum number of tags per resource: 50.

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

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

• Accepted characters: all letters and numbers, spaces representable in UTF-8, and + - = . _ : / @. If your tagging schema is used across other services and resources, the character restrictions of those services also apply.

• Key prefixes cannot include any upper or lowercase combination of aws: or AWS:. Values can have this prefix. If a tag value has aws as its prefix but the key does not, Forecast 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. You cannot edit or delete tag keys with this prefix.

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

Consumes the builder and constructs a CreateExplainabilityInput.

impl CreateExplainabilityInputBuilder

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

Sends a request with this input using the given client.

Trait Implementations

impl Clone for CreateExplainabilityInputBuilder

fn clone(&self) -> CreateExplainabilityInputBuilder

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for CreateExplainabilityInputBuilder

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

Formats the value using the given formatter.

impl Default for CreateExplainabilityInputBuilder

fn default() -> CreateExplainabilityInputBuilder

Returns the “default value” for a type.

impl PartialEq for CreateExplainabilityInputBuilder

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