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[ aws . forecast ]

create-dataset

Description

Creates an Amazon Forecast dataset. The information about the dataset that you provide helps Forecast understand how to consume the data for model training. This includes the following:

  • *DataFrequency * - How frequently your historical time-series data is collected.
  • *Domain * and * DatasetType * - Each dataset has an associated dataset domain and a type within the domain. Amazon Forecast provides a list of predefined domains and types within each domain. For each unique dataset domain and type within the domain, Amazon Forecast requires your data to include a minimum set of predefined fields.
  • *Schema * - A schema specifies the fields in the dataset, including the field name and data type.

After creating a dataset, you import your training data into it and add the dataset to a dataset group. You use the dataset group to create a predictor. For more information, see howitworks-datasets-groups .

To get a list of all your datasets, use the ListDatasets operation.

For example Forecast datasets, see the Amazon Forecast Sample GitHub repository .

Note

The Status of a dataset must be ACTIVE before you can import training data. Use the DescribeDataset operation to get the status.

See also: AWS API Documentation

See 'aws help' for descriptions of global parameters.

Synopsis

  create-dataset
--dataset-name <value>
--domain <value>
--dataset-type <value>
[--data-frequency <value>]
--schema <value>
[--encryption-config <value>]
[--cli-input-json <value>]
[--generate-cli-skeleton <value>]

Options

--dataset-name (string)

A name for the dataset.

--domain (string)

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

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

Possible values:

  • RETAIL
  • CUSTOM
  • INVENTORY_PLANNING
  • EC2_CAPACITY
  • WORK_FORCE
  • WEB_TRAFFIC
  • METRICS

--dataset-type (string)

The dataset type. Valid values depend on the chosen Domain .

Possible values:

  • TARGET_TIME_SERIES
  • RELATED_TIME_SERIES
  • ITEM_METADATA

--data-frequency (string)

The frequency of data collection. This parameter is required for RELATED_TIME_SERIES datasets.

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, "D" indicates every day and "15min" indicates every 15 minutes.

--schema (structure)

The schema for the dataset. The schema attributes and their order must match the fields in your data. The dataset Domain and DatasetType that you choose determine the minimum required fields in your training data. For information about the required fields for a specific dataset domain and type, see howitworks-domains-ds-types .

Shorthand Syntax:

Attributes=[{AttributeName=string,AttributeType=string},{AttributeName=string,AttributeType=string}]

JSON Syntax:

{
  "Attributes": [
    {
      "AttributeName": "string",
      "AttributeType": "string"|"integer"|"float"|"timestamp"
    }
    ...
  ]
}

--encryption-config (structure)

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

Shorthand Syntax:

RoleArn=string,KMSKeyArn=string

JSON Syntax:

{
  "RoleArn": "string",
  "KMSKeyArn": "string"
}

--cli-input-json (string) Performs service operation based on the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, the CLI 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.

--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. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command.

See 'aws help' for descriptions of global parameters.

Output

DatasetArn -> (string)

The Amazon Resource Name (ARN) of the dataset.