Provides the information to create an ML input channel¶
Description¶
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.
Usage¶
cleanroomsml_create_ml_input_channel(membershipIdentifier,
configuredModelAlgorithmAssociations, inputChannel, name,
retentionInDays, description, kmsKeyArn, tags, payerConfiguration)
Arguments¶
-
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.
-
descriptionThe description of the ML input channel.
-
kmsKeyArnThe Amazon Resource Name (ARN) of the KMS key that is used to access the input channel.
-
tagsThe 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:
- 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 has aws as its prefix but the key does not, then Clean Rooms ML 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.
-
payerConfigurationThe payer configuration for the ML input channel. Determines which member account pays for compute and synthetic data costs.
Value¶
A list with the following syntax:
Request syntax¶
svc$create_ml_input_channel(
membershipIdentifier = "string",
configuredModelAlgorithmAssociations = list(
"string"
),
inputChannel = list(
dataSource = list(
protectedQueryInputParameters = list(
sqlParameters = list(
queryString = "string",
analysisTemplateArn = "string",
parameters = list(
"string"
)
),
computeConfiguration = list(
worker = list(
type = "CR.1X"|"CR.4X"|"CR.8X",
number = 123,
properties = list(
spark = list(
"string"
)
)
)
),
resultFormat = "CSV"|"PARQUET"
)
),
roleArn = "string"
),
name = "string",
retentionInDays = 123,
description = "string",
kmsKeyArn = "string",
tags = list(
"string"
),
payerConfiguration = list(
computePayerAccountId = "string",
syntheticDataPayerAccountId = "string"
)
)