Struct CreateForecastInputBuilder

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

A builder for CreateForecastInput.

Implementations

impl CreateForecastInputBuilder

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

A name for the forecast.

This field is required.

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

A name for the forecast.

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

A name for the forecast.

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

The Amazon Resource Name (ARN) of the predictor to use to generate the forecast.

This field is required.

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

The Amazon Resource Name (ARN) of the predictor to use to generate the forecast.

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

The Amazon Resource Name (ARN) of the predictor to use to generate the forecast.

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

Appends an item to forecast_types.

To override the contents of this collection use set_forecast_types.

The quantiles at which probabilistic forecasts are generated. You can currently specify up to 5 quantiles per forecast. Accepted values include 0.01 to 0.99 (increments of .01 only) and mean. The mean forecast is different from the median (0.50) when the distribution is not symmetric (for example, Beta and Negative Binomial).

The default quantiles are the quantiles you specified during predictor creation. If you didn't specify quantiles, the default values are \["0.1", "0.5", "0.9"\].

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

The quantiles at which probabilistic forecasts are generated. You can currently specify up to 5 quantiles per forecast. Accepted values include 0.01 to 0.99 (increments of .01 only) and mean. The mean forecast is different from the median (0.50) when the distribution is not symmetric (for example, Beta and Negative Binomial).

The default quantiles are the quantiles you specified during predictor creation. If you didn't specify quantiles, the default values are \["0.1", "0.5", "0.9"\].

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

The quantiles at which probabilistic forecasts are generated. You can currently specify up to 5 quantiles per forecast. Accepted values include 0.01 to 0.99 (increments of .01 only) and mean. The mean forecast is different from the median (0.50) when the distribution is not symmetric (for example, Beta and Negative Binomial).

The default quantiles are the quantiles you specified during predictor creation. If you didn't specify quantiles, the default values are \["0.1", "0.5", "0.9"\].

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

Appends an item to tags.

To override the contents of this collection use set_tags.

The optional metadata that you apply to the forecast 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 Amazon Web Services 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 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.

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

The optional metadata that you apply to the forecast 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 Amazon Web Services 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 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.

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

The optional metadata that you apply to the forecast 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 Amazon Web Services 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 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.

pub fn time_series_selector(self, input: TimeSeriesSelector) -> Self

Defines the set of time series that are used to create the forecasts in a TimeSeriesIdentifiers object.

The TimeSeriesIdentifiers object needs the following information:

• DataSource

• Format

• Schema

pub fn set_time_series_selector(self, input: Option<TimeSeriesSelector>) -> Self

Defines the set of time series that are used to create the forecasts in a TimeSeriesIdentifiers object.

The TimeSeriesIdentifiers object needs the following information:

• DataSource

• Format

• Schema

pub fn get_time_series_selector(&self) -> &Option<TimeSeriesSelector>

Defines the set of time series that are used to create the forecasts in a TimeSeriesIdentifiers object.

The TimeSeriesIdentifiers object needs the following information:

• DataSource

• Format

• Schema

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

Consumes the builder and constructs a CreateForecastInput.

impl CreateForecastInputBuilder

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

Sends a request with this input using the given client.

Trait Implementations

impl Clone for CreateForecastInputBuilder

fn clone(&self) -> CreateForecastInputBuilder

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for CreateForecastInputBuilder

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

Formats the value using the given formatter.

impl Default for CreateForecastInputBuilder

fn default() -> CreateForecastInputBuilder

Returns the “default value” for a type.

impl PartialEq for CreateForecastInputBuilder

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

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

const 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 CreateForecastInputBuilder