Class: Aws::ForecastService::Types::CreateDatasetRequest
- Inherits:
-
Struct
- Object
- Struct
- Aws::ForecastService::Types::CreateDatasetRequest
- Includes:
- Structure
- Defined in:
- lib/aws-sdk-forecastservice/types.rb
Overview
Constant Summary collapse
- SENSITIVE =
[]
Instance Attribute Summary collapse
-
#data_frequency ⇒ String
The frequency of data collection.
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#dataset_name ⇒ String
A name for the dataset.
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#dataset_type ⇒ String
The dataset type.
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#domain ⇒ String
The domain associated with the dataset.
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#encryption_config ⇒ Types::EncryptionConfig
An Key Management Service (KMS) key and the Identity and Access Management (IAM) role that Amazon Forecast can assume to access the key.
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#schema ⇒ Types::Schema
The schema for the dataset.
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#tags ⇒ Array<Types::Tag>
The optional metadata that you apply to the dataset to help you categorize and organize them.
Instance Attribute Details
#data_frequency ⇒ String
The frequency of data collection. This parameter is required for RELATED_TIME_SERIES datasets.
Valid intervals are an integer followed by Y (Year), M (Month), W (Week), D (Day), H (Hour), and min (Minute). For example, “1D” indicates every day and “15min” indicates every 15 minutes. You cannot specify a value that would overlap with the next larger frequency. That means, for example, you cannot specify a frequency of 60 minutes, because that is equivalent to 1 hour. The valid values for each frequency are the following:
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Minute - 1-59
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Hour - 1-23
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Day - 1-6
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Week - 1-4
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Month - 1-11
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Year - 1
Thus, if you want every other week forecasts, specify “2W”. Or, if you want quarterly forecasts, you specify “3M”.
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# File 'lib/aws-sdk-forecastservice/types.rb', line 964 class CreateDatasetRequest < Struct.new( :dataset_name, :domain, :dataset_type, :data_frequency, :schema, :encryption_config, :tags) SENSITIVE = [] include Aws::Structure end |
#dataset_name ⇒ String
A name for the dataset.
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# File 'lib/aws-sdk-forecastservice/types.rb', line 964 class CreateDatasetRequest < Struct.new( :dataset_name, :domain, :dataset_type, :data_frequency, :schema, :encryption_config, :tags) SENSITIVE = [] include Aws::Structure end |
#dataset_type ⇒ String
The dataset type. Valid values depend on the chosen ‘Domain`.
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# File 'lib/aws-sdk-forecastservice/types.rb', line 964 class CreateDatasetRequest < Struct.new( :dataset_name, :domain, :dataset_type, :data_frequency, :schema, :encryption_config, :tags) SENSITIVE = [] include Aws::Structure end |
#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 [Importing datasets].
[1]: docs.aws.amazon.com/forecast/latest/dg/API_CreateDatasetGroup.html [2]: docs.aws.amazon.com/forecast/latest/dg/howitworks-datasets-groups.html
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# File 'lib/aws-sdk-forecastservice/types.rb', line 964 class CreateDatasetRequest < Struct.new( :dataset_name, :domain, :dataset_type, :data_frequency, :schema, :encryption_config, :tags) SENSITIVE = [] include Aws::Structure end |
#encryption_config ⇒ Types::EncryptionConfig
An Key Management Service (KMS) key and the Identity and Access Management (IAM) role that Amazon Forecast can assume to access the key.
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# File 'lib/aws-sdk-forecastservice/types.rb', line 964 class CreateDatasetRequest < Struct.new( :dataset_name, :domain, :dataset_type, :data_frequency, :schema, :encryption_config, :tags) SENSITIVE = [] include Aws::Structure end |
#schema ⇒ Types::Schema
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 [Dataset Domains and Dataset Types].
[1]: docs.aws.amazon.com/forecast/latest/dg/howitworks-domains-ds-types.html
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# File 'lib/aws-sdk-forecastservice/types.rb', line 964 class CreateDatasetRequest < Struct.new( :dataset_name, :domain, :dataset_type, :data_frequency, :schema, :encryption_config, :tags) SENSITIVE = [] include Aws::Structure end |
#tags ⇒ Array<Types::Tag>
The optional metadata that you apply to the dataset to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define.
The following basic restrictions apply to tags:
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Maximum number of tags per resource - 50.
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For each resource, each tag key must be unique, and each tag key can have only one value.
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Maximum key length - 128 Unicode characters in UTF-8.
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Maximum value length - 256 Unicode characters in UTF-8.
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If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.
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Tag keys and values are case sensitive.
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Do not use ‘aws:`, `AWS:`, or any upper or lowercase combination of such as a prefix for keys as it is reserved for Amazon Web Services use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value has `aws` as its prefix but the key does not, then Forecast considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of `aws` do not count against your tags per resource limit.
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# File 'lib/aws-sdk-forecastservice/types.rb', line 964 class CreateDatasetRequest < Struct.new( :dataset_name, :domain, :dataset_type, :data_frequency, :schema, :encryption_config, :tags) SENSITIVE = [] include Aws::Structure end |