Copyright | (c) 2013-2021 Brendan Hay |
---|---|
License | Mozilla Public License, v. 2.0. |
Maintainer | Brendan Hay <brendan.g.hay+amazonka@gmail.com> |
Stability | auto-generated |
Portability | non-portable (GHC extensions) |
Safe Haskell | None |
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
andDatasetType
- 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.
The Status
of a dataset must be ACTIVE
before you can import
training data. Use the DescribeDataset operation to get the status.
Synopsis
- data CreateDataset = CreateDataset' {
- dataFrequency :: Maybe Text
- encryptionConfig :: Maybe EncryptionConfig
- tags :: Maybe [Tag]
- datasetName :: Text
- domain :: Domain
- datasetType :: DatasetType
- schema :: Schema
- newCreateDataset :: Text -> Domain -> DatasetType -> Schema -> CreateDataset
- createDataset_dataFrequency :: Lens' CreateDataset (Maybe Text)
- createDataset_encryptionConfig :: Lens' CreateDataset (Maybe EncryptionConfig)
- createDataset_tags :: Lens' CreateDataset (Maybe [Tag])
- createDataset_datasetName :: Lens' CreateDataset Text
- createDataset_domain :: Lens' CreateDataset Domain
- createDataset_datasetType :: Lens' CreateDataset DatasetType
- createDataset_schema :: Lens' CreateDataset Schema
- data CreateDatasetResponse = CreateDatasetResponse' {
- datasetArn :: Maybe Text
- httpStatus :: Int
- newCreateDatasetResponse :: Int -> CreateDatasetResponse
- createDatasetResponse_datasetArn :: Lens' CreateDatasetResponse (Maybe Text)
- createDatasetResponse_httpStatus :: Lens' CreateDatasetResponse Int
Creating a Request
data CreateDataset Source #
See: newCreateDataset
smart constructor.
CreateDataset' | |
|
Instances
:: Text | |
-> Domain | |
-> DatasetType | |
-> Schema | |
-> CreateDataset |
Create a value of CreateDataset
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:dataFrequency:CreateDataset'
, createDataset_dataFrequency
- 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.
$sel:encryptionConfig:CreateDataset'
, createDataset_encryptionConfig
- 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.
$sel:tags:CreateDataset'
, createDataset_tags
- 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:
- Maximum number of tags per resource - 50.
- For each resource, each tag key must be unique, and each tag key can have only one value.
- Maximum key length - 128 Unicode characters in UTF-8.
- Maximum value length - 256 Unicode characters in UTF-8.
- 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: + - = . _ : / @.
- Tag keys and values are case sensitive.
- Do not use
aws:
,AWS:
, or any upper or lowercase combination of such as a prefix for keys as it is reserved for AWS use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value hasaws
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 ofaws
do not count against your tags per resource limit.
$sel:datasetName:CreateDataset'
, createDataset_datasetName
- A name for the dataset.
$sel:domain:CreateDataset'
, createDataset_domain
- 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.
$sel:datasetType:CreateDataset'
, createDataset_datasetType
- The dataset type. Valid values depend on the chosen Domain
.
$sel:schema:CreateDataset'
, createDataset_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 howitworks-domains-ds-types.
Request Lenses
createDataset_dataFrequency :: Lens' CreateDataset (Maybe Text) Source #
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.
createDataset_encryptionConfig :: Lens' CreateDataset (Maybe EncryptionConfig) Source #
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.
createDataset_tags :: Lens' CreateDataset (Maybe [Tag]) Source #
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:
- Maximum number of tags per resource - 50.
- For each resource, each tag key must be unique, and each tag key can have only one value.
- Maximum key length - 128 Unicode characters in UTF-8.
- Maximum value length - 256 Unicode characters in UTF-8.
- 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: + - = . _ : / @.
- Tag keys and values are case sensitive.
- Do not use
aws:
,AWS:
, or any upper or lowercase combination of such as a prefix for keys as it is reserved for AWS use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value hasaws
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 ofaws
do not count against your tags per resource limit.
createDataset_datasetName :: Lens' CreateDataset Text Source #
A name for the dataset.
createDataset_domain :: Lens' CreateDataset Domain Source #
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.
createDataset_datasetType :: Lens' CreateDataset DatasetType Source #
The dataset type. Valid values depend on the chosen Domain
.
createDataset_schema :: Lens' CreateDataset Schema Source #
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.
Destructuring the Response
data CreateDatasetResponse Source #
See: newCreateDatasetResponse
smart constructor.
CreateDatasetResponse' | |
|
Instances
newCreateDatasetResponse Source #
Create a value of CreateDatasetResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:datasetArn:CreateDatasetResponse'
, createDatasetResponse_datasetArn
- The Amazon Resource Name (ARN) of the dataset.
$sel:httpStatus:CreateDatasetResponse'
, createDatasetResponse_httpStatus
- The response's http status code.
Response Lenses
createDatasetResponse_datasetArn :: Lens' CreateDatasetResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the dataset.
createDatasetResponse_httpStatus :: Lens' CreateDatasetResponse Int Source #
The response's http status code.