Skip to content

ModelQualityAppSpecification

Used by
Source code in docs_src/capo_sagemaker/types/model_quality_app_specification.py 
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
class ModelQualityAppSpecification(TypedDict, closed=True):
    image_uri: NotRequired["capo_sagemaker.types.image_uri.ImageUri"]
    """<p>The address of the container image that the monitoring job runs.</p>"""
    container_entrypoint: NotRequired[
        "capo_sagemaker.types.container_entrypoint.ContainerEntrypoint"
    ]
    """<p>Specifies the entrypoint for a container that the monitoring job runs.</p>"""
    container_arguments: NotRequired[
        "capo_sagemaker.types.monitoring_container_arguments.MonitoringContainerArguments"
    ]
    """<p>An array of arguments for the container used to run the monitoring job.</p>"""
    record_preprocessor_source_uri: NotRequired["capo_sagemaker.types.s3_uri.S3Uri"]
    """<p>An Amazon S3 URI to a script that is called per row prior to running analysis. It can base64 decode the payload and convert it into a flattened JSON so that the built-in container can use the converted data. Applicable only for the built-in (first party) containers.</p>"""
    post_analytics_processor_source_uri: NotRequired[
        "capo_sagemaker.types.s3_uri.S3Uri"
    ]
    """<p>An Amazon S3 URI to a script that is called after analysis has been performed. Applicable only for the built-in (first party) containers.</p>"""
    problem_type: NotRequired[
        "capo_sagemaker.types.monitoring_problem_type.MonitoringProblemType"
    ]
    """<p>The machine learning problem type of the model that the monitoring job monitors.</p>"""
    environment: NotRequired[
        "capo_sagemaker.types.monitoring_environment_map.MonitoringEnvironmentMap"
    ]
    """<p>Sets the environment variables in the container that the monitoring job runs.</p>"""

container_arguments instance-attribute 

container_arguments: NotRequired[MonitoringContainerArguments]

An array of arguments for the container used to run the monitoring job.

container_entrypoint instance-attribute 

container_entrypoint: NotRequired[ContainerEntrypoint]

Specifies the entrypoint for a container that the monitoring job runs.

environment instance-attribute 

environment: NotRequired[MonitoringEnvironmentMap]

Sets the environment variables in the container that the monitoring job runs.

image_uri instance-attribute 

image_uri: NotRequired[ImageUri]

The address of the container image that the monitoring job runs.

post_analytics_processor_source_uri instance-attribute 

post_analytics_processor_source_uri: NotRequired[S3Uri]

An Amazon S3 URI to a script that is called after analysis has been performed. Applicable only for the built-in (first party) containers.

problem_type instance-attribute 

problem_type: NotRequired[MonitoringProblemType]

The machine learning problem type of the model that the monitoring job monitors.

record_preprocessor_source_uri instance-attribute 

record_preprocessor_source_uri: NotRequired[S3Uri]

An Amazon S3 URI to a script that is called per row prior to running analysis. It can base64 decode the payload and convert it into a flattened JSON so that the built-in container can use the converted data. Applicable only for the built-in (first party) containers.