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DeleteMLEndpointInput

Source code in docs_src/capo_neptunedata/types/delete_ml_endpoint_input.py 
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class DeleteMLEndpointInput(TypedDict, closed=True):
    id: "str"
    """<p>The unique identifier of the inference endpoint.</p>"""
    neptune_iam_role_arn: NotRequired["str"]
    """<p>The ARN of an IAM role providing Neptune access to SageMaker and Amazon S3 resources. This must be listed in your DB cluster parameter group or an error will be thrown.</p>"""
    clean: NotRequired["bool"]
    """<p>If this flag is set to <code>TRUE</code>, all Neptune ML S3 artifacts should be deleted when the job is stopped. The default is <code>FALSE</code>.</p>"""

clean instance-attribute 

clean: NotRequired[bool]

If this flag is set to TRUE, all Neptune ML S3 artifacts should be deleted when the job is stopped. The default is FALSE.

id instance-attribute 

id: str

The unique identifier of the inference endpoint.

neptune_iam_role_arn instance-attribute 

neptune_iam_role_arn: NotRequired[str]

The ARN of an IAM role providing Neptune access to SageMaker and Amazon S3 resources. This must be listed in your DB cluster parameter group or an error will be thrown.