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AIMlflowConfig

Source code in docs_src/capo_sagemaker/types/ai_mlflow_config.py 
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class AIMlflowConfig(TypedDict, closed=True):
    mlflow_resource_arn: NotRequired[
        "capo_sagemaker.types.ai_mlflow_resource_arn.AIMlflowResourceArn"
    ]
    """<p>The Amazon Resource Name (ARN) of the SageMaker managed MLflow resource.</p>"""
    mlflow_experiment_name: NotRequired[
        "capo_sagemaker.types.ai_mlflow_experiment_name.AIMlflowExperimentName"
    ]
    """<p>The MLflow experiment name used for tracking.</p>"""
    mlflow_run_name: NotRequired[
        "capo_sagemaker.types.ai_mlflow_run_name.AIMlflowRunName"
    ]
    """<p>The MLflow run name used for tracking.</p>"""

mlflow_experiment_name instance-attribute 

mlflow_experiment_name: NotRequired[AIMlflowExperimentName]

The MLflow experiment name used for tracking.

mlflow_resource_arn instance-attribute 

mlflow_resource_arn: NotRequired[AIMlflowResourceArn]

The Amazon Resource Name (ARN) of the SageMaker managed MLflow resource.

mlflow_run_name instance-attribute 

mlflow_run_name: NotRequired[AIMlflowRunName]

The MLflow run name used for tracking.