Struct InputDataConfig 

pub struct InputDataConfig {
    pub dataset_group_arn: String,
    pub supplementary_features: Option<Vec<SupplementaryFeature>>,
}

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.

Fields

dataset_group_arn: String

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

supplementary_features: Option<Vec<SupplementaryFeature>>

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

Trait Implementations

impl Clone for InputDataConfig

fn clone(&self) -> InputDataConfig

Returns a duplicate 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 Default for InputDataConfig

fn default() -> InputDataConfig

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for InputDataConfig

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for InputDataConfig

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

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Serialize for InputDataConfig

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for InputDataConfig