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ExperimentConfig

Used by
Source code in docs_src/capo_sagemaker/types/experiment_config.py 
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class ExperimentConfig(TypedDict, closed=True):
    experiment_name: NotRequired[
        "capo_sagemaker.types.experiment_entity_name.ExperimentEntityName"
    ]
    """<p>The name of an existing experiment to associate with the trial component.</p>"""
    trial_name: NotRequired[
        "capo_sagemaker.types.experiment_entity_name.ExperimentEntityName"
    ]
    """<p>The name of an existing trial to associate the trial component with. If not specified, a new trial is created.</p>"""
    trial_component_display_name: NotRequired[
        "capo_sagemaker.types.experiment_entity_name.ExperimentEntityName"
    ]
    """<p>The display name for the trial component. If this key isn't specified, the display name is the trial component name.</p>"""
    run_name: NotRequired[
        "capo_sagemaker.types.experiment_entity_name.ExperimentEntityName"
    ]
    """<p>The name of the experiment run to associate with the trial component.</p>"""

experiment_name instance-attribute 

experiment_name: NotRequired[ExperimentEntityName]

The name of an existing experiment to associate with the trial component.

run_name instance-attribute 

run_name: NotRequired[ExperimentEntityName]

The name of the experiment run to associate with the trial component.

trial_component_display_name instance-attribute 

trial_component_display_name: NotRequired[ExperimentEntityName]

The display name for the trial component. If this key isn't specified, the display name is the trial component name.

trial_name instance-attribute 

trial_name: NotRequired[ExperimentEntityName]

The name of an existing trial to associate the trial component with. If not specified, a new trial is created.