Struct rusoto_forecast::CreateDatasetGroupRequest

pub struct CreateDatasetGroupRequest {
    pub dataset_arns: Option<Vec<String>>,
    pub dataset_group_name: String,
    pub domain: String,
}

Fields

dataset_arns: Option<Vec<String>>

An array of Amazon Resource Names (ARNs) of the datasets that you want to include in the dataset group.

dataset_group_name: String

A name for the dataset group.

domain: String

The domain associated with the dataset group. When you add a dataset to a dataset group, this value and the value specified for the Domain parameter of the CreateDataset operation must match.

The Domain and DatasetType that you choose determine the fields that must be present in training data that you import to a dataset. For example, if you choose the RETAIL domain and TARGET_TIME_SERIES as the DatasetType, Amazon Forecast requires that item_id, timestamp, and demand fields are present in your data. For more information, see howitworks-datasets-groups.

Trait Implementations

impl Clone for CreateDatasetGroupRequest

fn clone(&self) -> CreateDatasetGroupRequest

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for CreateDatasetGroupRequest

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

Formats the value using the given formatter.

impl Default for CreateDatasetGroupRequest

fn default() -> CreateDatasetGroupRequest

Returns the "default value" for a type.

impl PartialEq<CreateDatasetGroupRequest> for CreateDatasetGroupRequest

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

This method tests for self and other values to be equal, and is used by ==.

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

This method tests for !=.

impl Serialize for CreateDatasetGroupRequest

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 CreateDatasetGroupRequest