View source: R/cleanroomsml_operations.R
cleanroomsml_create_ml_input_channel | R Documentation |
Provides the information to create an ML input channel. An ML input channel is the result of a query that can be used for ML modeling.
See https://www.paws-r-sdk.com/docs/cleanroomsml_create_ml_input_channel/ for full documentation.
cleanroomsml_create_ml_input_channel(
membershipIdentifier,
configuredModelAlgorithmAssociations,
inputChannel,
name,
retentionInDays,
description = NULL,
kmsKeyArn = NULL,
tags = NULL
)
membershipIdentifier |
[required] The membership ID of the member that is creating the ML input channel. |
configuredModelAlgorithmAssociations |
[required] The associated configured model algorithms that are necessary to create this ML input channel. |
inputChannel |
[required] The input data that is used to create this ML input channel. |
name |
[required] The name of the ML input channel. |
retentionInDays |
[required] The number of days that the data in the ML input channel is retained. |
description |
The description of the ML input channel. |
kmsKeyArn |
The Amazon Resource Name (ARN) of the KMS key that is used to access the input channel. |
tags |
The optional metadata that you apply to the resource 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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