Struct aws_sdk_forecast::model::TimeSeriesTransformation

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

A transformation function is a pair of operations that select and modify the rows in a related time series. You select the rows that you want with a condition operation and you modify the rows with a transformation operation. All conditions are joined with an AND operation, meaning that all conditions must be true for the transformation to be applied. Transformations are applied in the order that they are listed.

Implementations

impl TimeSeriesTransformation

pub fn action(&self) -> Option<&Action>

An array of actions that define a time series and how it is transformed. These transformations create a new time series that is used for the what-if analysis.

pub fn time_series_conditions(&self) -> Option<&[TimeSeriesCondition]>

An array of conditions that define which members of the related time series are transformed.

impl TimeSeriesTransformation

pub fn builder() -> Builder

Creates a new builder-style object to manufacture TimeSeriesTransformation.

Trait Implementations

impl Clone for TimeSeriesTransformation

fn clone(&self) -> TimeSeriesTransformation

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for TimeSeriesTransformation

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

Formats the value using the given formatter.

impl PartialEq<TimeSeriesTransformation> for TimeSeriesTransformation

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