MLInputChannelSummary ¶

class MLInputChannelSummary(TypedDict, closed=True):
    create_time: "datetime.datetime"
    """<p>The time at which the ML input channel was created.</p>"""
    update_time: "datetime.datetime"
    """<p>The most recent time at which the ML input channel was updated.</p>"""
    membership_identifier: "capo_cleanroomsml.types.uuid.UUID"
    """<p>The membership ID of the membership that contains the ML input channel.</p>"""
    collaboration_identifier: "capo_cleanroomsml.types.uuid.UUID"
    """<p>The collaboration ID of the collaboration that contains the ML input channel.</p>"""
    name: "capo_cleanroomsml.types.name_string.NameString"
    """<p>The name of the ML input channel.</p>"""
    configured_model_algorithm_associations: "capo_cleanroomsml.types.configured_model_algorithm_association_arn_list.ConfiguredModelAlgorithmAssociationArnList"
    """<p>The associated configured model algorithms used to create the ML input channel.</p>"""
    protected_query_identifier: NotRequired["capo_cleanroomsml.types.uuid.UUID"]
    """<p>The ID of the protected query that was used to create the ML input channel.</p>"""
    ml_input_channel_arn: (
        "capo_cleanroomsml.types.ml_input_channel_arn.MLInputChannelArn"
    )
    """<p>The Amazon Resource Name (ARN) of the ML input channel.</p>"""
    status: "capo_cleanroomsml.types.ml_input_channel_status.MLInputChannelStatus"
    """<p>The status of the ML input channel.</p>"""
    description: NotRequired[
        "capo_cleanroomsml.types.resource_description.ResourceDescription"
    ]
    """<p>The description of the ML input channel.</p>"""
    payer_configuration: NotRequired[
        "capo_cleanroomsml.types.payer_configuration.PayerConfiguration"
    ]
    """<p>The payer configuration for the ML input channel.</p>"""