GetMLInputChannelResponse
¶
Source code in docs_src/capo_cleanroomsml/types/get_ml_input_channel_response.py
collaboration_identifier
instance-attribute
¶
collaboration_identifier: UUID
The collaboration ID of the collaboration that contains the ML input channel.
configured_model_algorithm_associations
instance-attribute
¶
configured_model_algorithm_associations: ConfiguredModelAlgorithmAssociationArnList
The configured model algorithm associations that were used to create the ML input channel.
create_time
instance-attribute
¶
create_time: datetime
The time at which the ML input channel was created.
description
instance-attribute
¶
description: NotRequired[ResourceDescription]
The description of the ML input channel.
input_channel
instance-attribute
¶
input_channel: InputChannel
The input channel that was used to create the ML input channel.
kms_key_arn
instance-attribute
¶
kms_key_arn: NotRequired[KmsKeyArn]
The Amazon Resource Name (ARN) of the KMS key that was used to create the ML input channel.
membership_identifier
instance-attribute
¶
membership_identifier: UUID
The membership ID of the membership that contains the ML input channel.
ml_input_channel_arn
instance-attribute
¶
ml_input_channel_arn: MLInputChannelArn
The Amazon Resource Name (ARN) of the ML input channel.
number_of_files
instance-attribute
¶
number_of_files: NotRequired[float]
The number of files in the ML input channel.
number_of_records
instance-attribute
¶
number_of_records: NotRequired[int]
The number of records in the ML input channel.
payer_configuration
instance-attribute
¶
payer_configuration: NotRequired[PayerConfiguration]
The payer configuration for the ML input channel.
privacy_budgets
instance-attribute
¶
privacy_budgets: NotRequired[PrivacyBudgets]
Returns the privacy budgets that control access to this Clean Rooms ML input channel. Use these budgets to monitor and limit resource consumption over specified time periods.
protected_query_identifier
instance-attribute
¶
protected_query_identifier: NotRequired[UUID]
The ID of the protected query that was used to create the ML input channel.
retention_in_days
instance-attribute
¶
retention_in_days: int
The number of days to keep the data in the ML input channel.
size_in_gb
instance-attribute
¶
size_in_gb: NotRequired[float]
The size, in GB, of the ML input channel.
synthetic_data_configuration
instance-attribute
¶
synthetic_data_configuration: NotRequired[SyntheticDataConfiguration]
The synthetic data configuration for this ML input channel, including parameters for generating privacy-preserving synthetic data and evaluation scores for measuring the privacy of the generated data.
tags
instance-attribute
¶
tags: NotRequired[TagMap]
The optional metadata that you applied 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.