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@pulumi/aws-native

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The Pulumi AWS Cloud Control Provider enables you to build, deploy, and manage [any AWS resource that's supported by the AWS Cloud Control API](https://github.com/pulumi/pulumi-aws-native/blob/master/provider/cmd/pulumi-gen-aws-native/supported-types.txt)

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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>; }