UpdateInferenceExperimentRequest ¶

class UpdateInferenceExperimentRequest(TypedDict, closed=True):
    name: NotRequired[
        "capo_sagemaker.types.inference_experiment_name.InferenceExperimentName"
    ]
    """<p>The name of the inference experiment to be updated.</p>"""
    schedule: NotRequired[
        "capo_sagemaker.types.inference_experiment_schedule.InferenceExperimentSchedule"
    ]
    """<p> The duration for which the inference experiment will run. If the status of the inference experiment is <code>Created</code>, then you can update both the start and end dates. If the status of the inference experiment is <code>Running</code>, then you can update only the end date. </p>"""
    description: NotRequired[
        "capo_sagemaker.types.inference_experiment_description.InferenceExperimentDescription"
    ]
    """<p>The description of the inference experiment.</p>"""
    model_variants: NotRequired[
        "capo_sagemaker.types.model_variant_config_list.ModelVariantConfigList"
    ]
    """<p> An array of <code>ModelVariantConfig</code> objects. There is one for each variant, whose infrastructure configuration you want to update. </p>"""
    data_storage_config: NotRequired[
        "capo_sagemaker.types.inference_experiment_data_storage_config.InferenceExperimentDataStorageConfig"
    ]
    """<p>The Amazon S3 location and configuration for storing inference request and response data.</p>"""
    shadow_mode_config: NotRequired[
        "capo_sagemaker.types.shadow_mode_config.ShadowModeConfig"
    ]
    """<p> The configuration of <code>ShadowMode</code> inference experiment type. Use this field to specify a production variant which takes all the inference requests, and a shadow variant to which Amazon SageMaker replicates a percentage of the inference requests. For the shadow variant also specify the percentage of requests that Amazon SageMaker replicates. </p>"""