sagemaker/aws.sdk.kotlin.services.sagemaker.model/CreateFeatureGroupRequest/Builder

Builder

class Builder

Properties

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var description: String?

A free-form description of a FeatureGroup.

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var eventTimeFeatureName: String?

The name of the feature that stores the EventTime of a Record in a FeatureGroup.

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var featureDefinitions: List<FeatureDefinition>?

A list of Feature names and types. Name and Type is compulsory per Feature.

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var featureGroupName: String?

The name of the FeatureGroup. The name must be unique within an Amazon Web Services Region in an Amazon Web Services account. The name:

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var offlineStoreConfig: OfflineStoreConfig?

Use this to configure an OfflineFeatureStore. This parameter allows you to specify:

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var onlineStoreConfig: OnlineStoreConfig?

You can turn the OnlineStore on or off by specifying True for the EnableOnlineStore flag in OnlineStoreConfig.

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var recordIdentifierFeatureName: String?

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.

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var roleArn: String?

The Amazon Resource Name (ARN) of the IAM execution role used to persist data into the OfflineStore if an OfflineStoreConfig is provided.

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var tags: List<Tag>?

Tags used to identify Features in each FeatureGroup.

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var throughputConfig: ThroughputConfig?

Used to set feature group throughput configuration. There are two modes: ON_DEMAND and PROVISIONED. With on-demand mode, you are charged for data reads and writes that your application performs on your feature group. You do not need to specify read and write throughput because Feature Store accommodates your workloads as they ramp up and down. You can switch a feature group to on-demand only once in a 24 hour period. With provisioned throughput mode, you specify the read and write capacity per second that you expect your application to require, and you are billed based on those limits. Exceeding provisioned throughput will result in your requests being throttled.