[][src]Struct rusoto_personalize::DatasetGroup

pub struct DatasetGroup {
    pub creation_date_time: Option<f64>,
    pub dataset_group_arn: Option<String>,
    pub failure_reason: Option<String>,
    pub kms_key_arn: Option<String>,
    pub last_updated_date_time: Option<f64>,
    pub name: Option<String>,
    pub role_arn: Option<String>,
    pub status: Option<String>,
}

A dataset group is a collection of related datasets (Interactions, User, and Item). You create a dataset group by calling CreateDatasetGroup. You then create a dataset and add it to a dataset group by calling CreateDataset. The dataset group is used to create and train a solution by calling CreateSolution. A dataset group can contain only one of each type of dataset.

You can specify an AWS Key Management Service (KMS) key to encrypt the datasets in the group.

Fields

creation_date_time: Option<f64>

The creation date and time (in Unix time) of the dataset group.

dataset_group_arn: Option<String>

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

failure_reason: Option<String>

If creating a dataset group fails, provides the reason why.

kms_key_arn: Option<String>

The Amazon Resource Name (ARN) of the KMS key used to encrypt the datasets.

last_updated_date_time: Option<f64>

The last update date and time (in Unix time) of the dataset group.

name: Option<String>

The name of the dataset group.

role_arn: Option<String>

The ARN of the IAM role that has permissions to create the dataset group.

status: Option<String>

The current status of the dataset group.

A dataset group can be in one of the following states:

  • CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

  • DELETE PENDING

Trait Implementations

impl Clone for DatasetGroup[src]

impl Debug for DatasetGroup[src]

impl Default for DatasetGroup[src]

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

impl PartialEq<DatasetGroup> for DatasetGroup[src]

impl StructuralPartialEq for DatasetGroup[src]

Auto Trait Implementations

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