Describes an Amazon Forecast dataset created using the CreateDataset operation.
In addition to listing the parameters specified in the CreateDataset request, this operation includes the following dataset properties:
CreationTimeLastModificationTimeStatusSee also: AWS API Documentation
describe-dataset
--dataset-arn <value>
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]
[--debug]
[--endpoint-url <value>]
[--no-verify-ssl]
[--no-paginate]
[--output <value>]
[--query <value>]
[--profile <value>]
[--region <value>]
[--version <value>]
[--color <value>]
[--no-sign-request]
[--ca-bundle <value>]
[--cli-read-timeout <value>]
[--cli-connect-timeout <value>]
[--cli-binary-format <value>]
[--no-cli-pager]
[--cli-auto-prompt]
[--no-cli-auto-prompt]
--dataset-arn (string)
The Amazon Resource Name (ARN) of the dataset.
--cli-input-json | --cli-input-yaml (string)
Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, those values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally. This may not be specified along with --cli-input-yaml.
--generate-cli-skeleton (string)
Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. Similarly, if provided yaml-input it will print a sample input YAML that can be used with --cli-input-yaml. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command. The generated JSON skeleton is not stable between versions of the AWS CLI and there are no backwards compatibility guarantees in the JSON skeleton generated.
--debug (boolean)
Turn on debug logging.
--endpoint-url (string)
Override command’s default URL with the given URL.
--no-verify-ssl (boolean)
By default, the AWS CLI uses SSL when communicating with AWS services. For each SSL connection, the AWS CLI will verify SSL certificates. This option overrides the default behavior of verifying SSL certificates.
--no-paginate (boolean)
Disable automatic pagination.
--output (string)
The formatting style for command output.
--query (string)
A JMESPath query to use in filtering the response data.
--profile (string)
Use a specific profile from your credential file.
--region (string)
The region to use. Overrides config/env settings.
--version (string)
Display the version of this tool.
--color (string)
Turn on/off color output.
--no-sign-request (boolean)
Do not sign requests. Credentials will not be loaded if this argument is provided.
--ca-bundle (string)
The CA certificate bundle to use when verifying SSL certificates. Overrides config/env settings.
--cli-read-timeout (int)
The maximum socket read time in seconds. If the value is set to 0, the socket read will be blocking and not timeout. The default value is 60 seconds.
--cli-connect-timeout (int)
The maximum socket connect time in seconds. If the value is set to 0, the socket connect will be blocking and not timeout. The default value is 60 seconds.
--cli-binary-format (string)
The formatting style to be used for binary blobs. The default format is base64. The base64 format expects binary blobs to be provided as a base64 encoded string. The raw-in-base64-out format preserves compatibility with AWS CLI V1 behavior and binary values must be passed literally. When providing contents from a file that map to a binary blob fileb:// will always be treated as binary and use the file contents directly regardless of the cli-binary-format setting. When using file:// the file contents will need to properly formatted for the configured cli-binary-format.
--no-cli-pager (boolean)
Disable cli pager for output.
--cli-auto-prompt (boolean)
Automatically prompt for CLI input parameters.
--no-cli-auto-prompt (boolean)
Disable automatically prompt for CLI input parameters.
DatasetArn -> (string)
The Amazon Resource Name (ARN) of the dataset.
DatasetName -> (string)
The name of the dataset.
Domain -> (string)
The domain associated with the dataset.
DatasetType -> (string)
The dataset type.
DataFrequency -> (string)
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.
Schema -> (structure)
An array of
SchemaAttributeobjects that specify the dataset fields. EachSchemaAttributespecifies the name and data type of a field.Attributes -> (list)
An array of attributes specifying the name and type of each field in a dataset.
(structure)
An attribute of a schema, which defines a dataset field. A schema attribute is required for every field in a dataset. The Schema object contains an array of
SchemaAttributeobjects.AttributeName -> (string)
The name of the dataset field.AttributeType -> (string)
The data type of the field.
For a related time series dataset, other than date, item_id, and forecast dimensions attributes, all attributes should be of numerical type (integer/float).
EncryptionConfig -> (structure)
The Key Management Service (KMS) key and the Identity and Access Management (IAM) role that Amazon Forecast can assume to access the key.
RoleArn -> (string)
The ARN of the IAM role that Amazon Forecast can assume to access the KMS key.
Passing a role across Amazon Web Services accounts is not allowed. If you pass a role that isn’t in your account, you get an
InvalidInputExceptionerror.KMSKeyArn -> (string)
The Amazon Resource Name (ARN) of the KMS key.
Status -> (string)
The status of the dataset. States include:
ACTIVECREATE_PENDING,CREATE_IN_PROGRESS,CREATE_FAILEDDELETE_PENDING,DELETE_IN_PROGRESS,DELETE_FAILEDUPDATE_PENDING,UPDATE_IN_PROGRESS,UPDATE_FAILEDThe
UPDATEstates 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 isCREATE_IN_PROGRESS, the status of the dataset isUPDATE_IN_PROGRESS.Note
TheStatusof the dataset must beACTIVEbefore you can import training data.
CreationTime -> (timestamp)
When the dataset was created.
LastModificationTime -> (timestamp)
When you create a dataset,LastModificationTimeis the same asCreationTime. While data is being imported to the dataset,LastModificationTimeis the current time of theDescribeDatasetcall. After a CreateDatasetImportJob operation has finished,LastModificationTimeis when the import job completed or failed.