Struct aws_sdk_forecast::operation::create_what_if_forecast::builders::CreateWhatIfForecastInputBuilder

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

A builder for CreateWhatIfForecastInput.

Implementations

impl CreateWhatIfForecastInputBuilder

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

The name of the what-if forecast. Names must be unique within each what-if analysis.

This field is required.

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

The name of the what-if forecast. Names must be unique within each what-if analysis.

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

The name of the what-if forecast. Names must be unique within each what-if analysis.

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

The Amazon Resource Name (ARN) of the what-if analysis.

This field is required.

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

The Amazon Resource Name (ARN) of the what-if analysis.

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

The Amazon Resource Name (ARN) of the what-if analysis.

pub fn time_series_transformations( self, input: TimeSeriesTransformation ) -> Self

Appends an item to time_series_transformations.

To override the contents of this collection use set_time_series_transformations.

The transformations that are applied to the baseline time series. Each transformation contains an action and a set of conditions. An action is applied only when all conditions are met. If no conditions are provided, the action is applied to all items.

pub fn set_time_series_transformations( self, input: Option<Vec<TimeSeriesTransformation>> ) -> Self

The transformations that are applied to the baseline time series. Each transformation contains an action and a set of conditions. An action is applied only when all conditions are met. If no conditions are provided, the action is applied to all items.

pub fn get_time_series_transformations( &self ) -> &Option<Vec<TimeSeriesTransformation>>

The transformations that are applied to the baseline time series. Each transformation contains an action and a set of conditions. An action is applied only when all conditions are met. If no conditions are provided, the action is applied to all items.

pub fn time_series_replacements_data_source( self, input: TimeSeriesReplacementsDataSource ) -> Self

The replacement time series dataset, which contains the rows that you want to change in the related time series dataset. A replacement time series does not need to contain all rows that are in the baseline related time series. Include only the rows (measure-dimension combinations) that you want to include in the what-if forecast.

This dataset is merged with the original time series to create a transformed dataset that is used for the what-if analysis.

This dataset should contain the items to modify (such as item_id or workforce_type), any relevant dimensions, the timestamp column, and at least one of the related time series columns. This file should not contain duplicate timestamps for the same time series.

Timestamps and item_ids not included in this dataset are not included in the what-if analysis.

pub fn set_time_series_replacements_data_source( self, input: Option<TimeSeriesReplacementsDataSource> ) -> Self

The replacement time series dataset, which contains the rows that you want to change in the related time series dataset. A replacement time series does not need to contain all rows that are in the baseline related time series. Include only the rows (measure-dimension combinations) that you want to include in the what-if forecast.

This dataset is merged with the original time series to create a transformed dataset that is used for the what-if analysis.

This dataset should contain the items to modify (such as item_id or workforce_type), any relevant dimensions, the timestamp column, and at least one of the related time series columns. This file should not contain duplicate timestamps for the same time series.

Timestamps and item_ids not included in this dataset are not included in the what-if analysis.

pub fn get_time_series_replacements_data_source( &self ) -> &Option<TimeSeriesReplacementsDataSource>

The replacement time series dataset, which contains the rows that you want to change in the related time series dataset. A replacement time series does not need to contain all rows that are in the baseline related time series. Include only the rows (measure-dimension combinations) that you want to include in the what-if forecast.

This dataset is merged with the original time series to create a transformed dataset that is used for the what-if analysis.

This dataset should contain the items to modify (such as item_id or workforce_type), any relevant dimensions, the timestamp column, and at least one of the related time series columns. This file should not contain duplicate timestamps for the same time series.

Timestamps and item_ids not included in this dataset are not included in the what-if analysis.

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

Appends an item to tags.

To override the contents of this collection use set_tags.

A list of tags to apply to the what if forecast.

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

A list of tags to apply to the what if forecast.

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

A list of tags to apply to the what if forecast.

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

Consumes the builder and constructs a CreateWhatIfForecastInput.

impl CreateWhatIfForecastInputBuilder

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

Sends a request with this input using the given client.

Trait Implementations

impl Clone for CreateWhatIfForecastInputBuilder

fn clone(&self) -> CreateWhatIfForecastInputBuilder

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for CreateWhatIfForecastInputBuilder

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

Formats the value using the given formatter.

impl Default for CreateWhatIfForecastInputBuilder

fn default() -> CreateWhatIfForecastInputBuilder

Returns the “default value” for a type.

impl PartialEq for CreateWhatIfForecastInputBuilder

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

This method tests for self and other values to be equal, and is used by ==.

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

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

impl StructuralPartialEq for CreateWhatIfForecastInputBuilder