sagemaker_create_feature_group: Create a new FeatureGroup
In paws.machine.learning: 'Amazon Web Services' Machine Learning Services

sagemaker_create_feature_group

R Documentation

Create a new FeatureGroup

Description

Create a new FeatureGroup. A FeatureGroup is a group of Features defined in the FeatureStore to describe a Record.

See https://www.paws-r-sdk.com/docs/sagemaker_create_feature_group/ for full documentation.

Usage

sagemaker_create_feature_group(
  FeatureGroupName,
  RecordIdentifierFeatureName,
  EventTimeFeatureName,
  FeatureDefinitions,
  OnlineStoreConfig = NULL,
  OfflineStoreConfig = NULL,
  RoleArn = NULL,
  Description = NULL,
  Tags = NULL
)

Arguments

`FeatureGroupName`	[required] The name of the `FeatureGroup`. The name must be unique within an Amazon Web Services Region in an Amazon Web Services account. The name: Must start and end with an alphanumeric character. Can only contain alphanumeric character and hyphens. Spaces are not allowed.
`RecordIdentifierFeatureName`	[required] The name of the `Feature` whose value uniquely identifies a `Record` defined in the `FeatureStore`. Only the latest record per identifier value will be stored in the `OnlineStore`. `RecordIdentifierFeatureName` must be one of feature definitions' names. You use the `RecordIdentifierFeatureName` to access data in a `FeatureStore`. This name: Must start and end with an alphanumeric character. Can only contains alphanumeric characters, hyphens, underscores. Spaces are not allowed.
`EventTimeFeatureName`	[required] The name of the feature that stores the `EventTime` of a `Record` in a `FeatureGroup`. An `EventTime` is a point in time when a new event occurs that corresponds to the creation or update of a `Record` in a `FeatureGroup`. All `Records` in the `FeatureGroup` must have a corresponding `EventTime`. An `EventTime` can be a `String` or `Fractional`. `Fractional`: `EventTime` feature values must be a Unix timestamp in seconds. `String`: `EventTime` feature values must be an ISO-8601 string in the format. The following formats are supported `⁠yyyy-MM-dd'T'HH:mm:ssZ⁠` and `⁠yyyy-MM-dd'T'HH:mm:ss.SSSZ⁠` where `yyyy`, `MM`, and `dd` represent the year, month, and day respectively and `HH`, `mm`, `ss`, and if applicable, `SSS` represent the hour, month, second and milliseconds respsectively. `'T'` and `Z` are constants.
`FeatureDefinitions`	[required] A list of `Feature` names and types. `Name` and `Type` is compulsory per `Feature`. Valid feature `FeatureType`s are `Integral`, `Fractional` and `String`. `FeatureName`s cannot be any of the following: `is_deleted`, `write_time`, `api_invocation_time` You can create up to 2,500 `FeatureDefinition`s per `FeatureGroup`.
`OnlineStoreConfig`	You can turn the `OnlineStore` on or off by specifying `True` for the `EnableOnlineStore` flag in `OnlineStoreConfig`. You can also include an Amazon Web Services KMS key ID (`KMSKeyId`) for at-rest encryption of the `OnlineStore`. The default value is `False`.
`OfflineStoreConfig`	Use this to configure an `OfflineFeatureStore`. This parameter allows you to specify: The Amazon Simple Storage Service (Amazon S3) location of an `OfflineStore`. A configuration for an Amazon Web Services Glue or Amazon Web Services Hive data catalog. An KMS encryption key to encrypt the Amazon S3 location used for `OfflineStore`. If KMS encryption key is not specified, by default we encrypt all data at rest using Amazon Web Services KMS key. By defining your bucket-level key for SSE, you can reduce Amazon Web Services KMS requests costs by up to 99 percent. Format for the offline store table. Supported formats are Glue (Default) and Apache Iceberg. To learn more about this parameter, see OfflineStoreConfig.
`RoleArn`	The Amazon Resource Name (ARN) of the IAM execution role used to persist data into the `OfflineStore` if an `OfflineStoreConfig` is provided.
`Description`	A free-form description of a `FeatureGroup`.
`Tags`	Tags used to identify `Features` in each `FeatureGroup`.