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Paws-0.42
River stage two • 9 direct dependents • 11 total dependents
/ Paws::Forecast::DescribeDatasetResponse

NAME

Paws::Forecast::DescribeDatasetResponse

ATTRIBUTES

CreationTime => Str

When the dataset was created.

DataFrequency => Str

The frequency of data collection.

Valid intervals are Y (Year), M (Month), W (Week), D (Day), H (Hour), 30min (30 minutes), 15min (15 minutes), 10min (10 minutes), 5min (5 minutes), and 1min (1 minute). For example, "M" indicates every month and "30min" indicates every 30 minutes.

DatasetArn => Str

The Amazon Resource Name (ARN) of the dataset.

DatasetName => Str

The name of the dataset.

DatasetType => Str

The dataset type.

Valid values are: "TARGET_TIME_SERIES", "RELATED_TIME_SERIES", "ITEM_METADATA" =head2 Domain => Str

The domain associated with the dataset.

Valid values are: "RETAIL", "CUSTOM", "INVENTORY_PLANNING", "EC2_CAPACITY", "WORK_FORCE", "WEB_TRAFFIC", "METRICS" =head2 EncryptionConfig => Paws::Forecast::EncryptionConfig

The AWS Key Management Service (KMS) key and the AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the key.

LastModificationTime => Str

When you create a dataset, LastModificationTime is the same as CreationTime. While data is being imported to the dataset, LastModificationTime is the current time of the DescribeDataset call. After a CreateDatasetImportJob operation has finished, LastModificationTime is when the import job completed or failed.

Schema => Paws::Forecast::Schema

An array of SchemaAttribute objects that specify the dataset fields. Each SchemaAttribute specifies the name and data type of a field.

Status => Str

The status of the dataset. States include:

  • ACTIVE

  • CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED

  • DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED

  • UPDATE_PENDING, UPDATE_IN_PROGRESS, UPDATE_FAILED

The UPDATE states apply while data is imported to the dataset from a call to the CreateDatasetImportJob operation and reflect the status of the dataset import job. For example, when the import job status is CREATE_IN_PROGRESS, the status of the dataset is UPDATE_IN_PROGRESS.

The Status of the dataset must be ACTIVE before you can import training data.

_request_id => Str