Struct aws_sdk_forecast::types::AttributeConfig

#[non_exhaustive]
pub struct AttributeConfig {
    pub attribute_name: String,
    pub transformations: HashMap<String, String>,
}

Provides information about the method used to transform attributes.

The following is an example using the RETAIL domain:

{

"AttributeName": "demand",

"Transformations": {"aggregation": "sum", "middlefill": "zero", "backfill": "zero"}

}

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

attribute_name: String

The name of the attribute as specified in the schema. Amazon Forecast supports the target field of the target time series and the related time series datasets. For example, for the RETAIL domain, the target is demand.

transformations: HashMap<String, String>

The method parameters (key-value pairs), which are a map of override parameters. Specify these parameters to override the default values. Related Time Series attributes do not accept aggregation parameters.

The following list shows the parameters and their valid values for the "filling" featurization method for a Target Time Series dataset. Default values are bolded.

• aggregation: sum, avg, first, min, max

• frontfill: none

• middlefill: zero, nan (not a number), value, median, mean, min, max

• backfill: zero, nan, value, median, mean, min, max

The following list shows the parameters and their valid values for a Related Time Series featurization method (there are no defaults):

• middlefill: zero, value, median, mean, min, max

• backfill: zero, value, median, mean, min, max

• futurefill: zero, value, median, mean, min, max

To set a filling method to a specific value, set the fill parameter to value and define the value in a corresponding _value parameter. For example, to set backfilling to a value of 2, include the following: "backfill": "value" and "backfill_value":"2".

Implementations

impl AttributeConfig

pub fn attribute_name(&self) -> &str

The name of the attribute as specified in the schema. Amazon Forecast supports the target field of the target time series and the related time series datasets. For example, for the RETAIL domain, the target is demand.

pub fn transformations(&self) -> &HashMap<String, String>

The method parameters (key-value pairs), which are a map of override parameters. Specify these parameters to override the default values. Related Time Series attributes do not accept aggregation parameters.

The following list shows the parameters and their valid values for the "filling" featurization method for a Target Time Series dataset. Default values are bolded.

• aggregation: sum, avg, first, min, max

• frontfill: none

• middlefill: zero, nan (not a number), value, median, mean, min, max

• backfill: zero, nan, value, median, mean, min, max

The following list shows the parameters and their valid values for a Related Time Series featurization method (there are no defaults):

• middlefill: zero, value, median, mean, min, max

• backfill: zero, value, median, mean, min, max

• futurefill: zero, value, median, mean, min, max

To set a filling method to a specific value, set the fill parameter to value and define the value in a corresponding _value parameter. For example, to set backfilling to a value of 2, include the following: "backfill": "value" and "backfill_value":"2".

impl AttributeConfig

pub fn builder() -> AttributeConfigBuilder

Creates a new builder-style object to manufacture AttributeConfig.

Trait Implementations

impl Clone for AttributeConfig

fn clone(&self) -> AttributeConfig

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for AttributeConfig

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

Formats the value using the given formatter.

impl PartialEq for AttributeConfig

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