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InferenceExperimentSummary

Source code in docs_src/capo_sagemaker/types/inference_experiment_summary.py
class InferenceExperimentSummary(TypedDict, closed=True):
    name: NotRequired[
        "capo_sagemaker.types.inference_experiment_name.InferenceExperimentName"
    ]
    """<p>The name of the inference experiment.</p>"""
    type: NotRequired[
        "capo_sagemaker.types.inference_experiment_type.InferenceExperimentType"
    ]
    """<p>The type of the inference experiment.</p>"""
    schedule: NotRequired[
        "capo_sagemaker.types.inference_experiment_schedule.InferenceExperimentSchedule"
    ]
    """<p>The duration for which the inference experiment ran or will run.</p> <p>The maximum duration that you can set for an inference experiment is 30 days.</p>"""
    status: NotRequired[
        "capo_sagemaker.types.inference_experiment_status.InferenceExperimentStatus"
    ]
    """<p>The status of the inference experiment.</p>"""
    status_reason: NotRequired[
        "capo_sagemaker.types.inference_experiment_status_reason.InferenceExperimentStatusReason"
    ]
    """<p>The error message for the inference experiment status result.</p>"""
    description: NotRequired[
        "capo_sagemaker.types.inference_experiment_description.InferenceExperimentDescription"
    ]
    """<p>The description of the inference experiment.</p>"""
    creation_time: NotRequired["capo_sagemaker.types.timestamp.Timestamp"]
    """<p>The timestamp at which the inference experiment was created.</p>"""
    completion_time: NotRequired["capo_sagemaker.types.timestamp.Timestamp"]
    """<p>The timestamp at which the inference experiment was completed.</p>"""
    last_modified_time: NotRequired["capo_sagemaker.types.timestamp.Timestamp"]
    """<p>The timestamp when you last modified the inference experiment.</p>"""
    role_arn: NotRequired["capo_sagemaker.types.role_arn.RoleArn"]
    """<p> The ARN of the IAM role that Amazon SageMaker can assume to access model artifacts and container images, and manage Amazon SageMaker Inference endpoints for model deployment. </p>"""

completion_time instance-attribute

completion_time: NotRequired[Timestamp]

The timestamp at which the inference experiment was completed.

creation_time instance-attribute

creation_time: NotRequired[Timestamp]

The timestamp at which the inference experiment was created.

description instance-attribute

description: NotRequired[InferenceExperimentDescription]

The description of the inference experiment.

last_modified_time instance-attribute

last_modified_time: NotRequired[Timestamp]

The timestamp when you last modified the inference experiment.

name instance-attribute

name: NotRequired[InferenceExperimentName]

The name of the inference experiment.

role_arn instance-attribute

role_arn: NotRequired[RoleArn]

The ARN of the IAM role that Amazon SageMaker can assume to access model artifacts and container images, and manage Amazon SageMaker Inference endpoints for model deployment.

schedule instance-attribute

schedule: NotRequired[InferenceExperimentSchedule]

The duration for which the inference experiment ran or will run.

The maximum duration that you can set for an inference experiment is 30 days.

status instance-attribute

status: NotRequired[InferenceExperimentStatus]

The status of the inference experiment.

status_reason instance-attribute

status_reason: NotRequired[InferenceExperimentStatusReason]

The error message for the inference experiment status result.

type instance-attribute

type: NotRequired[InferenceExperimentType]

The type of the inference experiment.