Struct aws_sdk_sagemaker::model::TimeSeriesForecastingSettings

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

Time series forecast settings for the SageMaker Canvas app.

Implementations

impl TimeSeriesForecastingSettings

pub fn status(&self) -> Option<&FeatureStatus>

Describes whether time series forecasting is enabled or disabled in the Canvas app.

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

The IAM role that Canvas passes to Amazon Forecast for time series forecasting. By default, Canvas uses the execution role specified in the UserProfile that launches the Canvas app. If an execution role is not specified in the UserProfile, Canvas uses the execution role specified in the Domain that owns the UserProfile. To allow time series forecasting, this IAM role should have the AmazonSageMakerCanvasForecastAccess policy attached and forecast.amazonaws.com added in the trust relationship as a service principal.

impl TimeSeriesForecastingSettings

pub fn builder() -> Builder

Creates a new builder-style object to manufacture TimeSeriesForecastingSettings.

Trait Implementations

impl Clone for TimeSeriesForecastingSettings

fn clone(&self) -> TimeSeriesForecastingSettings

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for TimeSeriesForecastingSettings

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

Formats the value using the given formatter.

impl PartialEq<TimeSeriesForecastingSettings> for TimeSeriesForecastingSettings

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