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    Interface MlflowConfig

    MLflow tracking server configuration.

    interface MlflowConfig {
        artifactStorePrefix?: string;
        automaticModelRegistration?: boolean;
        enabled: boolean;
        serverName?: string;
        serverSize?: "Small" | "Medium" | "Large";
        serverVersion?: string;
    }
    Index

    Properties

    artifactStorePrefix? automaticModelRegistration? enabled serverName? serverSize? serverVersion?

    Properties

    artifactStorePrefix?: string

    S3 prefix under the team bucket for MLflow artifacts.

    "mlflow-artifacts/"
    automaticModelRegistration?: boolean

    Enable automatic model registration with SageMaker Model Registry. When false, model registration is handled explicitly via SageMaker Model Package Groups (e.g., in an MLOps pipeline).

    false
    enabled: boolean

    Enable the MLflow tracking server.

    false
    serverName?: string

    Custom tracking server name. If not specified, auto-generated from MDAA naming.

    Validation: Optional; 1-256 characters, alphanumeric, hyphens, and underscores

    serverSize?: "Small" | "Medium" | "Large"

    Tracking server size: "Small", "Medium", or "Large".

    "Small"
    serverVersion?: string

    MLflow version (e.g. "2.16.2"). If not specified, SageMaker uses the latest supported version.

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