@pulumi/aws-native
Version:
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)
66 lines (65 loc) • 2.18 kB
TypeScript
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>;
}