[][src]Struct rusoto_forecast::Featurization

pub struct Featurization {
    pub attribute_name: String,
    pub featurization_pipeline: Option<Vec<FeaturizationMethod>>,
}

Provides featurization (transformation) information for a dataset field. This object is part of the FeaturizationConfig object.

For example:

{

"AttributeName": "demand",

FeaturizationPipeline [ {

"FeaturizationMethodName": "filling",

"FeaturizationMethodParameters": {"aggregation": "avg", "backfill": "nan"}

} ]

}

Fields

attribute_name: String

The name of the schema attribute that specifies the data field to be featurized. 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, and for the CUSTOM domain, the target is target_value. For more information, see howitworks-missing-values.

featurization_pipeline: Option<Vec<FeaturizationMethod>>

An array of one FeaturizationMethod object that specifies the feature transformation method.

Trait Implementations

impl Clone for Featurization[src]

impl Debug for Featurization[src]

impl Default for Featurization[src]

impl<'de> Deserialize<'de> for Featurization[src]

impl PartialEq<Featurization> for Featurization[src]

impl Serialize for Featurization[src]

impl StructuralPartialEq for Featurization[src]

Auto Trait Implementations

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impl<T> Any for T where
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impl<T> Same<T> for T

type Output = T

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type Owned = T

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impl<T, U> TryFrom<U> for T where
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type Error = Infallible

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type Error = <U as TryFrom<T>>::Error

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