Struct aws_sdk_forecast::model::InputDataConfig

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

This object belongs to the CreatePredictor operation. If you created your predictor with CreateAutoPredictor, see DataConfig.

The data used to train a predictor. The data includes a dataset group and any supplementary features. You specify this object in the CreatePredictor request.

Implementations

impl InputDataConfig

pub fn dataset_group_arn(&self) -> Option<&str>

The Amazon Resource Name (ARN) of the dataset group.

pub fn supplementary_features(&self) -> Option<&[SupplementaryFeature]>

An array of supplementary features. The only supported feature is a holiday calendar.

impl InputDataConfig

pub fn builder() -> Builder

Creates a new builder-style object to manufacture InputDataConfig.

Trait Implementations

impl Clone for InputDataConfig

fn clone(&self) -> InputDataConfig

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for InputDataConfig

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

Formats the value using the given formatter.

impl PartialEq<InputDataConfig> for InputDataConfig

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