import * as pulumi from "@pulumi/pulumi";
import * as outputs from "../types/output";
import * as enums from "../types/enums";
/**
 * Resource type definition for AWS::SageMaker::MlflowApp
 */
export declare function getMlflowApp(args: GetMlflowAppArgs, opts?: pulumi.InvokeOptions): Promise<GetMlflowAppResult>;
export interface GetMlflowAppArgs {
    /**
     * The Amazon Resource Name (ARN) of the MLflow App.
     */
    arn: string;
}
export interface GetMlflowAppResult {
    /**
     * The Amazon Resource Name (ARN) of the MLflow App.
     */
    readonly arn?: string;
    /**
     * The S3 URI for a general purpose bucket to use as the MLflow App artifact store.
     */
    readonly artifactStoreUri?: string;
    /**
     * The date and time that the MLflow App was created.
     */
    readonly creationTime?: string;
    /**
     * The date and time that the MLflow App was last modified.
     */
    readonly lastModifiedTime?: string;
    /**
     * The server-generated identifier of the MLflow App.
     */
    readonly mlflowAppId?: string;
    /**
     * The MLflow version used by the MLflow App.
     */
    readonly mlflowVersion?: string;
    /**
     * Whether to enable or disable automatic registration of new MLflow models to the SageMaker Model Registry.
     */
    readonly modelRegistrationMode?: enums.sagemaker.MlflowAppModelRegistrationMode;
    /**
     * The status of the MLflow App.
     */
    readonly status?: enums.sagemaker.MlflowAppStatus;
    /**
     * Tags to associate with the MLflow App.
     */
    readonly tags?: outputs.Tag[];
    /**
     * The day and time of the week in Coordinated Universal Time (UTC) 24-hour standard time that weekly maintenance updates are scheduled. For example: Tue:03:30.
     */
    readonly weeklyMaintenanceWindowStart?: string;
}
/**
 * Resource type definition for AWS::SageMaker::MlflowApp
 */
export declare function getMlflowAppOutput(args: GetMlflowAppOutputArgs, opts?: pulumi.InvokeOutputOptions): pulumi.Output<GetMlflowAppResult>;
export interface GetMlflowAppOutputArgs {
    /**
     * The Amazon Resource Name (ARN) of the MLflow App.
     */
    arn: pulumi.Input<string>;
}