aws-cdk-lib/aws-sagemaker/lib/sagemaker.generated.d.ts

Version 2 of the AWS Cloud Development Kit library

import * as cdk from "../../core";
import * as constructs from "constructs";
import * as cfn_parse from "../../core/lib/helpers-internal";
/**
 * Creates a running app for the specified UserProfile.
 *
 * This operation is automatically invoked by Amazon SageMaker AI upon access to the associated Domain, and when new kernel configurations are selected by the user. A user may have multiple Apps active simultaneously.
 *
 * @cloudformationResource AWS::SageMaker::App
 * @stability external
 * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-app.html
 */
export declare class CfnApp extends cdk.CfnResource implements cdk.IInspectable, cdk.ITaggable {
    /**
     * The CloudFormation resource type name for this resource class.
     */
    static readonly CFN_RESOURCE_TYPE_NAME: string;
    /**
     * Build a CfnApp from CloudFormation properties
     *
     * A factory method that creates a new instance of this class from an object
     * containing the CloudFormation properties of this resource.
     * Used in the @aws-cdk/cloudformation-include module.
     *
     * @internal
     */
    static _fromCloudFormation(scope: constructs.Construct, id: string, resourceAttributes: any, options: cfn_parse.FromCloudFormationOptions): CfnApp;
    /**
     * The Amazon Resource Name (ARN) of the app, such as `arn:aws:sagemaker:us-west-2:account-id:app/my-app-name` .
     *
     * @cloudformationAttribute AppArn
     */
    readonly attrAppArn: string;
    /**
     * The name of the app.
     */
    appName: string;
    /**
     * The type of app.
     */
    appType: string;
    /**
     * The domain ID.
     */
    domainId: string;
    /**
     * Specifies the ARNs of a SageMaker image and SageMaker image version, and the instance type that the version runs on.
     */
    resourceSpec?: cdk.IResolvable | CfnApp.ResourceSpecProperty;
    /**
     * Tag Manager which manages the tags for this resource
     */
    readonly tags: cdk.TagManager;
    /**
     * An array of key-value pairs to apply to this resource.
     */
    tagsRaw?: Array<cdk.CfnTag>;
    /**
     * The user profile name.
     */
    userProfileName: string;
    /**
     * @param scope Scope in which this resource is defined
     * @param id Construct identifier for this resource (unique in its scope)
     * @param props Resource properties
     */
    constructor(scope: constructs.Construct, id: string, props: CfnAppProps);
    protected get cfnProperties(): Record<string, any>;
    /**
     * Examines the CloudFormation resource and discloses attributes
     *
     * @param inspector tree inspector to collect and process attributes
     */
    inspect(inspector: cdk.TreeInspector): void;
    protected renderProperties(props: Record<string, any>): Record<string, any>;
}
export declare namespace CfnApp {
    /**
     * Specifies the ARN's of a SageMaker AI image and SageMaker AI image version, and the instance type that the version runs on.
     *
     * > When both `SageMakerImageVersionArn` and `SageMakerImageArn` are passed, `SageMakerImageVersionArn` is used. Any updates to `SageMakerImageArn` will not take effect if `SageMakerImageVersionArn` already exists in the `ResourceSpec` because `SageMakerImageVersionArn` always takes precedence. To clear the value set for `SageMakerImageVersionArn` , pass `None` as the value.
     *
     * @struct
     * @stability external
     * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-app-resourcespec.html
     */
    interface ResourceSpecProperty {
        /**
         * The instance type that the image version runs on.
         *
         * > *JupyterServer apps* only support the `system` value.
         * >
         * > For *KernelGateway apps* , the `system` value is translated to `ml.t3.medium` . KernelGateway apps also support all other values for available instance types.
         *
         * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-app-resourcespec.html#cfn-sagemaker-app-resourcespec-instancetype
         */
        readonly instanceType?: string;
        /**
         * The Amazon Resource Name (ARN) of the Lifecycle Configuration attached to the Resource.
         *
         * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-app-resourcespec.html#cfn-sagemaker-app-resourcespec-lifecycleconfigarn
         */
        readonly lifecycleConfigArn?: string;
        /**
         * The ARN of the SageMaker AI image that the image version belongs to.
         *
         * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-app-resourcespec.html#cfn-sagemaker-app-resourcespec-sagemakerimagearn
         */
        readonly sageMakerImageArn?: string;
        /**
         * The ARN of the image version created on the instance.
         *
         * To clear the value set for `SageMakerImageVersionArn` , pass `None` as the value.
         *
         * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-app-resourcespec.html#cfn-sagemaker-app-resourcespec-sagemakerimageversionarn
         */
        readonly sageMakerImageVersionArn?: string;
    }
}
/**
 * Properties for defining a `CfnApp`
 *
 * @struct
 * @stability external
 * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-app.html
 */
export interface CfnAppProps {
    /**
     * The name of the app.
     *
     * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-app.html#cfn-sagemaker-app-appname
     */
    readonly appName: string;
    /**
     * The type of app.
     *
     * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-app.html#cfn-sagemaker-app-apptype
     */
    readonly appType: string;
    /**
     * The domain ID.
     *
     * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-app.html#cfn-sagemaker-app-domainid
     */
    readonly domainId: string;
    /**
     * Specifies the ARNs of a SageMaker image and SageMaker image version, and the instance type that the version runs on.
     *
     * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-app.html#cfn-sagemaker-app-resourcespec
     */
    readonly resourceSpec?: cdk.IResolvable | CfnApp.ResourceSpecProperty;
    /**
     * An array of key-value pairs to apply to this resource.
     *
     * For more information, see [Tag](https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-resource-tags.html) .
     *
     * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-app.html#cfn-sagemaker-app-tags
     */
    readonly tags?: Array<cdk.CfnTag>;
    /**
     * The user profile name.
     *
     * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-app.html#cfn-sagemaker-app-userprofilename
     */
    readonly userProfileName: string;
}
/**
 * Creates a configuration for running a SageMaker AI image as a KernelGateway app.
 *
 * The configuration specifies the Amazon Elastic File System storage volume on the image, and a list of the kernels in the image.
 *
 * @cloudformationResource AWS::SageMaker::AppImageConfig
 * @stability external
 * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-appimageconfig.html
 */
export declare class CfnAppImageConfig extends cdk.CfnResource implements cdk.IInspectable, cdk.ITaggable {
    /**
     * The CloudFormation resource type name for this resource class.
     */
    static readonly CFN_RESOURCE_TYPE_NAME: string;
    /**
     * Build a CfnAppImageConfig from CloudFormation properties
     *
     * A factory method that creates a new instance of this class from an object
     * containing the CloudFormation properties of this resource.
     * Used in the @aws-cdk/cloudformation-include module.
     *
     * @internal
     */
    static _fromCloudFormation(scope: constructs.Construct, id: string, resourceAttributes: any, options: cfn_parse.FromCloudFormationOptions): CfnAppImageConfig;
    /**
     * The Amazon Resource Name (ARN) of the AppImageConfig, such as `arn:aws:sagemaker:us-west-2:account-id:app-image-config/my-app-image-config-name` .
     *
     * @cloudformationAttribute AppImageConfigArn
     */
    readonly attrAppImageConfigArn: string;
    /**
     * The name of the AppImageConfig.
     */
    appImageConfigName: string;
    /**
     * The configuration for the file system and the runtime, such as the environment variables and entry point.
     */
    codeEditorAppImageConfig?: CfnAppImageConfig.CodeEditorAppImageConfigProperty | cdk.IResolvable;
    /**
     * The configuration for the file system and the runtime, such as the environment variables and entry point.
     */
    jupyterLabAppImageConfig?: cdk.IResolvable | CfnAppImageConfig.JupyterLabAppImageConfigProperty;
    /**
     * The configuration for the file system and kernels in the SageMaker AI image.
     */
    kernelGatewayImageConfig?: cdk.IResolvable | CfnAppImageConfig.KernelGatewayImageConfigProperty;
    /**
     * Tag Manager which manages the tags for this resource
     */
    readonly tags: cdk.TagManager;
    /**
     * An array of key-value pairs to apply to this resource.
     */
    tagsRaw?: Array<cdk.CfnTag>;
    /**
     * @param scope Scope in which this resource is defined
     * @param id Construct identifier for this resource (unique in its scope)
     * @param props Resource properties
     */
    constructor(scope: constructs.Construct, id: string, props: CfnAppImageConfigProps);
    protected get cfnProperties(): Record<string, any>;
    /**
     * Examines the CloudFormation resource and discloses attributes
     *
     * @param inspector tree inspector to collect and process attributes
     */
    inspect(inspector: cdk.TreeInspector): void;
    protected renderProperties(props: Record<string, any>): Record<string, any>;
}
export declare namespace CfnAppImageConfig {
    /**
     * The configuration for the file system and kernels in a SageMaker AI image running as a KernelGateway app.
     *
     * @struct
     * @stability external
     * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-appimageconfig-kernelgatewayimageconfig.html
     */
    interface KernelGatewayImageConfigProperty {
        /**
         * The Amazon Elastic File System storage configuration for a SageMaker AI image.
         *
         * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-appimageconfig-kernelgatewayimageconfig.html#cfn-sagemaker-appimageconfig-kernelgatewayimageconfig-filesystemconfig
         */
        readonly fileSystemConfig?: CfnAppImageConfig.FileSystemConfigProperty | cdk.IResolvable;
        /**
         * The specification of the Jupyter kernels in the image.
         *
         * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-appimageconfig-kernelgatewayimageconfig.html#cfn-sagemaker-appimageconfig-kernelgatewayimageconfig-kernelspecs
         */
        readonly kernelSpecs: Array<cdk.IResolvable | CfnAppImageConfig.KernelSpecProperty> | cdk.IResolvable;
    }
    /**
     * The specification of a Jupyter kernel.
     *
     * @struct
     * @stability external
     * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-appimageconfig-kernelspec.html
     */
    interface KernelSpecProperty {
        /**
         * The display name of the kernel.
         *
         * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-appimageconfig-kernelspec.html#cfn-sagemaker-appimageconfig-kernelspec-displayname
         */
        readonly displayName?: string;
        /**
         * The name of the Jupyter kernel in the image.
         *
         * This value is case sensitive.
         *
         * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-appimageconfig-kernelspec.html#cfn-sagemaker-appimageconfig-kernelspec-name
         */
        readonly name: string;
    }
    /**
     * The Amazon Elastic File System storage configuration for a SageMaker AI image.
     *
     * @struct
     * @stability external
     * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-appimageconfig-filesystemconfig.html
     */
    interface FileSystemConfigProperty {
        /**
         * The default POSIX group ID (GID).
         *
         * If not specified, defaults to `100` .
         *
         * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-appimageconfig-filesystemconfig.html#cfn-sagemaker-appimageconfig-filesystemconfig-defaultgid
         */
        readonly defaultGid?: number;
        /**
         * The default POSIX user ID (UID).
         *
         * If not specified, defaults to `1000` .
         *
         * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-appimageconfig-filesystemconfig.html#cfn-sagemaker-appimageconfig-filesystemconfig-defaultuid
         */
        readonly defaultUid?: number;
        /**
         * The path within the image to mount the user's EFS home directory.
         *
         * The directory should be empty. If not specified, defaults to * /home/sagemaker-user* .
         *
         * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-appimageconfig-filesystemconfig.html#cfn-sagemaker-appimageconfig-filesystemconfig-mountpath
         */
        readonly mountPath?: string;
    }
    /**
     * The configuration for the file system and kernels in a SageMaker AI image running as a JupyterLab app.
     *
     * The `FileSystemConfig` object is not supported.
     *
     * @struct
     * @stability external
     * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-appimageconfig-jupyterlabappimageconfig.html
     */
    interface JupyterLabAppImageConfigProperty {
        /**
         * The configuration used to run the application image container.
         *
         * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-appimageconfig-jupyterlabappimageconfig.html#cfn-sagemaker-appimageconfig-jupyterlabappimageconfig-containerconfig
         */
        readonly containerConfig?: CfnAppImageConfig.ContainerConfigProperty | cdk.IResolvable;
    }
    /**
     * The configuration used to run the application image container.
     *
     * @struct
     * @stability external
     * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-appimageconfig-containerconfig.html
     */
    interface ContainerConfigProperty {
        /**
         * The arguments for the container when you're running the application.
         *
         * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-appimageconfig-containerconfig.html#cfn-sagemaker-appimageconfig-containerconfig-containerarguments
         */
        readonly containerArguments?: Array<string>;
        /**
         * The entrypoint used to run the application in the container.
         *
         * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-appimageconfig-containerconfig.html#cfn-sagemaker-appimageconfig-containerconfig-containerentrypoint
         */
        readonly containerEntrypoint?: Array<string>;
        /**
         * The environment variables to set in the container.
         *
         * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-appimageconfig-containerconfig.html#cfn-sagemaker-appimageconfig-containerconfig-containerenvironmentvariables
         */
        readonly containerEnvironmentVariables?: Array<CfnAppImageConfig.CustomImageContainerEnvironmentVariableProperty | cdk.IResolvable> | cdk.IResolvable;
    }
    /**
     * The environment variables to set in the container.
     *
     * @struct
     * @stability external
     * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-appimageconfig-customimagecontainerenvironmentvariable.html
     */
    interface CustomImageContainerEnvironmentVariableProperty {
        /**
         * The key that identifies a container environment variable.
         *
         * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-appimageconfig-customimagecontainerenvironmentvariable.html#cfn-sagemaker-appimageconfig-customimagecontainerenvironmentvariable-key
         */
        readonly key: string;
        /**
         * The value of the container environment variable.
         *
         * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-appimageconfig-customimagecontainerenvironmentvariable.html#cfn-sagemaker-appimageconfig-customimagecontainerenvironmentvariable-value
         */
        readonly value: string;
    }
    /**
     * The configuration for the file system and kernels in a SageMaker image running as a Code Editor app.
     *
     * The `FileSystemConfig` object is not supported.
     *
     * @struct
     * @stability external
     * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-appimageconfig-codeeditorappimageconfig.html
     */
    interface CodeEditorAppImageConfigProperty {
        /**
         * The container configuration for a SageMaker image.
         *
         * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-appimageconfig-codeeditorappimageconfig.html#cfn-sagemaker-appimageconfig-codeeditorappimageconfig-containerconfig
         */
        readonly containerConfig?: CfnAppImageConfig.ContainerConfigProperty | cdk.IResolvable;
    }
}
/**
 * Properties for defining a `CfnAppImageConfig`
 *
 * @struct
 * @stability external
 * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-appimageconfig.html
 */
export interface CfnAppImageConfigProps {
    /**
     * The name of the AppImageConfig.
     *
     * Must be unique to your account.
     *
     * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-appimageconfig.html#cfn-sagemaker-appimageconfig-appimageconfigname
     */
    readonly appImageConfigName: string;
    /**
     * The configuration for the file system and the runtime, such as the environment variables and entry point.
     *
     * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-appimageconfig.html#cfn-sagemaker-appimageconfig-codeeditorappimageconfig
     */
    readonly codeEditorAppImageConfig?: CfnAppImageConfig.CodeEditorAppImageConfigProperty | cdk.IResolvable;
    /**
     * The configuration for the file system and the runtime, such as the environment variables and entry point.
     *
     * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-appimageconfig.html#cfn-sagemaker-appimageconfig-jupyterlabappimageconfig
     */
    readonly jupyterLabAppImageConfig?: cdk.IResolvable | CfnAppImageConfig.JupyterLabAppImageConfigProperty;
    /**
     * The configuration for the file system and kernels in the SageMaker AI image.
     *
     * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-appimageconfig.html#cfn-sagemaker-appimageconfig-kernelgatewayimageconfig
     */
    readonly kernelGatewayImageConfig?: cdk.IResolvable | CfnAppImageConfig.KernelGatewayImageConfigProperty;
    /**
     * An array of key-value pairs to apply to this resource.
     *
     * For more information, see [Tag](https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-resource-tags.html) .
     *
     * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-appimageconfig.html#cfn-sagemaker-appimageconfig-tags
     */
    readonly tags?: Array<cdk.CfnTag>;
}
/**
 * Creates a Git repository as a resource in your SageMaker AI account.
 *
 * You can associate the repository with notebook instances so that you can use Git source control for the notebooks you create. The Git repository is a resource in your SageMaker AI account, so it can be associated with more than one notebook instance, and it persists independently from the lifecycle of any notebook instances it is associated with.
 *
 * The repository can be hosted either in [AWS CodeCommit](https://docs.aws.amazon.com/codecommit/latest/userguide/welcome.html) or in any other Git repository.
 *
 * @cloudformationResource AWS::SageMaker::CodeRepository
 * @stability external
 * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-coderepository.html
 */
export declare class CfnCodeRepository extends cdk.CfnResource implements cdk.IInspectable, cdk.ITaggable {
    /**
     * The CloudFormation resource type name for this resource class.
     */
    static readonly CFN_RESOURCE_TYPE_NAME: string;
    /**
     * Build a CfnCodeRepository from CloudFormation properties
     *
     * A factory method that creates a new instance of this class from an object
     * containing the CloudFormation properties of this resource.
     * Used in the @aws-cdk/cloudformation-include module.
     *
     * @internal
     */
    static _fromCloudFormation(scope: constructs.Construct, id: string, resourceAttributes: any, options: cfn_parse.FromCloudFormationOptions): CfnCodeRepository;
    /**
     * The name of the code repository, such as `myCodeRepo` .
     *
     * @cloudformationAttribute CodeRepositoryName
     */
    readonly attrCodeRepositoryName: string;
    /**
     * @cloudformationAttribute Id
     */
    readonly attrId: string;
    /**
     * The name of the Git repository.
     */
    codeRepositoryName?: string;
    /**
     * Configuration details for the Git repository, including the URL where it is located and the ARN of the AWS Secrets Manager secret that contains the credentials used to access the repository.
     */
    gitConfig: CfnCodeRepository.GitConfigProperty | cdk.IResolvable;
    /**
     * Tag Manager which manages the tags for this resource
     */
    readonly tags: cdk.TagManager;
    /**
     * List of tags for Code Repository.
     */
    tagsRaw?: Array<cdk.CfnTag>;
    /**
     * @param scope Scope in which this resource is defined
     * @param id Construct identifier for this resource (unique in its scope)
     * @param props Resource properties
     */
    constructor(scope: constructs.Construct, id: string, props: CfnCodeRepositoryProps);
    protected get cfnProperties(): Record<string, any>;
    /**
     * Examines the CloudFormation resource and discloses attributes
     *
     * @param inspector tree inspector to collect and process attributes
     */
    inspect(inspector: cdk.TreeInspector): void;
    protected renderProperties(props: Record<string, any>): Record<string, any>;
}
export declare namespace CfnCodeRepository {
    /**
     * Specifies configuration details for a Git repository in your AWS account.
     *
     * @struct
     * @stability external
     * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-coderepository-gitconfig.html
     */
    interface GitConfigProperty {
        /**
         * The default branch for the Git repository.
         *
         * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-coderepository-gitconfig.html#cfn-sagemaker-coderepository-gitconfig-branch
         */
        readonly branch?: string;
        /**
         * The URL where the Git repository is located.
         *
         * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-coderepository-gitconfig.html#cfn-sagemaker-coderepository-gitconfig-repositoryurl
         */
        readonly repositoryUrl: string;
        /**
         * The Amazon Resource Name (ARN) of the AWS Secrets Manager secret that contains the credentials used to access the git repository.
         *
         * The secret must have a staging label of `AWSCURRENT` and must be in the following format:
         *
         * `{"username": *UserName* , "password": *Password* }`
         *
         * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-coderepository-gitconfig.html#cfn-sagemaker-coderepository-gitconfig-secretarn
         */
        readonly secretArn?: string;
    }
}
/**
 * Properties for defining a `CfnCodeRepository`
 *
 * @struct
 * @stability external
 * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-coderepository.html
 */
export interface CfnCodeRepositoryProps {
    /**
     * The name of the Git repository.
     *
     * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-coderepository.html#cfn-sagemaker-coderepository-coderepositoryname
     */
    readonly codeRepositoryName?: string;
    /**
     * Configuration details for the Git repository, including the URL where it is located and the ARN of the AWS Secrets Manager secret that contains the credentials used to access the repository.
     *
     * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-coderepository.html#cfn-sagemaker-coderepository-gitconfig
     */
    readonly gitConfig: CfnCodeRepository.GitConfigProperty | cdk.IResolvable;
    /**
     * List of tags for Code Repository.
     *
     * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-coderepository.html#cfn-sagemaker-coderepository-tags
     */
    readonly tags?: Array<cdk.CfnTag>;
}
/**
 * Creates a definition for a job that monitors data quality and drift.
 *
 * For information about model monitor, see [Amazon SageMaker AI Model Monitor](https://docs.aws.amazon.com/sagemaker/latest/dg/model-monitor.html) .
 *
 * @cloudformationResource AWS::SageMaker::DataQualityJobDefinition
 * @stability external
 * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-dataqualityjobdefinition.html
 */
export declare class CfnDataQualityJobDefinition extends cdk.CfnResource implements cdk.IInspectable, cdk.ITaggable {
    /**
     * The CloudFormation resource type name for this resource class.
     */
    static readonly CFN_RESOURCE_TYPE_NAME: string;
    /**
     * Build a CfnDataQualityJobDefinition from CloudFormation properties
     *
     * A factory method that creates a new instance of this class from an object
     * containing the CloudFormation properties of this resource.
     * Used in the @aws-cdk/cloudformation-include module.
     *
     * @internal
     */
    static _fromCloudFormation(scope: constructs.Construct, id: string, resourceAttributes: any, options: cfn_parse.FromCloudFormationOptions): CfnDataQualityJobDefinition;
    /**
     * The time when the job definition was created.
     *
     * @cloudformationAttribute CreationTime
     */
    readonly attrCreationTime: string;
    /**
     * The Amazon Resource Name (ARN) of the job definition.
     *
     * @cloudformationAttribute JobDefinitionArn
     */
    readonly attrJobDefinitionArn: string;
    /**
     * Specifies the container that runs the monitoring job.
     */
    dataQualityAppSpecification: CfnDataQualityJobDefinition.DataQualityAppSpecificationProperty | cdk.IResolvable;
    /**
     * Configures the constraints and baselines for the monitoring job.
     */
    dataQualityBaselineConfig?: CfnDataQualityJobDefinition.DataQualityBaselineConfigProperty | cdk.IResolvable;
    /**
     * A list of inputs for the monitoring job.
     */
    dataQualityJobInput: CfnDataQualityJobDefinition.DataQualityJobInputProperty | cdk.IResolvable;
    /**
     * The output configuration for monitoring jobs.
     */
    dataQualityJobOutputConfig: cdk.IResolvable | CfnDataQualityJobDefinition.MonitoringOutputConfigProperty;
    /**
     * The name of the endpoint used to run the monitoring job.
     */
    endpointName?: string;
    /**
     * The name for the monitoring job definition.
     */
    jobDefinitionName?: string;
    /**
     * Identifies the resources to deploy for a monitoring job.
     */
    jobResources: cdk.IResolvable | CfnDataQualityJobDefinition.MonitoringResourcesProperty;
    /**
     * Specifies networking configuration for the monitoring job.
     */
    networkConfig?: cdk.IResolvable | CfnDataQualityJobDefinition.NetworkConfigProperty;
    /**
     * The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
     */
    roleArn: string;
    /**
     * A time limit for how long the monitoring job is allowed to run before stopping.
     */
    stoppingCondition?: cdk.IResolvable | CfnDataQualityJobDefinition.StoppingConditionProperty;
    /**
     * Tag Manager which manages the tags for this resource
     */
    readonly tags: cdk.TagManager;
    /**
     * An array of key-value pairs to apply to this resource.
     */
    tagsRaw?: Array<cdk.CfnTag>;
    /**
     * @param scope Scope in which this resource is defined
     * @param id Construct identifier for this resource (unique in its scope)
     * @param props Resource properties
     */
    constructor(scope: constructs.Construct, id: string, props: CfnDataQualityJobDefinitionProps);
    protected get cfnProperties(): Record<string, any>;
    /**
     * Examines the CloudFormation resource and discloses attributes
     *
     * @param inspector tree inspector to collect and process attributes
     */
    inspect(inspector: cdk.TreeInspector): void;
    protected renderProperties(props: Record<string, any>): Record<string, any>;
}
export declare namespace CfnDataQualityJobDefinition {
    /**
     * The input for the data quality monitoring job.
     *
     * Currently endpoints are supported for input.
     *
     * @struct
     * @stability external
     * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-dataqualityjobdefinition-dataqualityjobinput.html
     */
    interface DataQualityJobInputProperty {
        /**
         * Input object for the batch transform job.
         *
         * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-dataqualityjobdefinition-dataqualityjobinput.html#cfn-sagemaker-dataqualityjobdefinition-dataqualityjobinput-batchtransforminput
         */
        readonly batchTransformInput?: CfnDataQualityJobDefinition.BatchTransformInputProperty | cdk.IResolvable;
        /**
         * Input object for the endpoint.
         *
         * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-dataqualityjobdefinition-dataqualityjobinput.html#cfn-sagemaker-dataqualityjobdefinition-dataqualityjobinput-endpointinput
         */
        readonly endpointInput?: CfnDataQualityJobDefinition.EndpointInputProperty | cdk.IResolvable;
    }
    /**
     * Input object for the batch transform job.
     *
     * @struct
     * @stability external
     * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-dataqualityjobdefinition-batchtransforminput.html
     */
    interface BatchTransformInputProperty {
        /**
         * The Amazon S3 location being used to capture the data.
         *
         * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-dataqualityjobdefinition-batchtransforminput.html#cfn-sagemaker-dataqualityjobdefinition-batchtransforminput-datacaptureddestinations3uri
         */
        readonly dataCapturedDestinationS3Uri: string;
        /**
         * The dataset format for your batch transform job.
         *
         * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-dataqualityjobdefinition-batchtransforminput.html#cfn-sagemaker-dataqualityjobdefinition-batchtransforminput-datasetformat
         */
        readonly datasetFormat: CfnDataQualityJobDefinition.DatasetFormatProperty | cdk.IResolvable;
        /**
         * The attributes of the input data to exclude from the analysis.
         *
         * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-dataqualityjobdefinition-batchtransforminput.html#cfn-sagemaker-dataqualityjobdefinition-batchtransforminput-excludefeaturesattribute
         */
        readonly excludeFeaturesAttribute?: string;
        /**
         * Path to the filesystem where the batch transform data is available to the container.
         *
         * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-dataqualityjobdefinition-batchtransforminput.html#cfn-sagemaker-dataqualityjobdefinition-batchtransforminput-localpath
         */
        readonly localPath: string;
        /**
         * Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key.
         *
         * Defaults to `FullyReplicated`
         *
         * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-dataqualityjobdefinition-batchtransforminput.html#cfn-sagemaker-dataqualityjobdefinition-batchtransforminput-s3datadistributiontype
         */
        readonly s3DataDistributionType?: string;
        /**
         * Whether the `Pipe` or `File` is used as the input mode for transferring data for the monitoring job.
         *
         * `Pipe` mode is recommended for large datasets. `File` mode is useful for small files that fit in memory. Defaults to `File` .
         *
         * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-dataqualityjobdefinition-batchtransforminput.html#cfn-sagemaker-dataqualityjobdefinition-batchtransforminput-s3inputmode
         */
        readonly s3InputMode?: string;
    }
    /**
     * The dataset format of the data to monitor.
     *
     * @struct
     * @stability external
     * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-dataqualityjobdefinition-datasetformat.html
     */
    interface DatasetFormatProperty {
        /**
         * The CSV format.
         *
         * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-dataqualityjobdefinition-datasetformat.html#cfn-sagemaker-dataqualityjobdefinition-datasetformat-csv
         */
        readonly csv?: CfnDataQualityJobDefinition.CsvProperty | cdk.IResolvable;
        /**
         * The Json format.
         *
         * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-dataqualityjobdefinition-datasetformat.html#cfn-sagemaker-dataqualityjobdefinition-datasetformat-json
         */
        readonly json?: cdk.IResolvable | CfnDataQualityJobDefinition.JsonProperty;
        /**
         * A flag indicate if the dataset format is Parquet.
         *
         * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-dataqualityjobdefinition-datasetformat.html#cfn-sagemaker-dataqualityjobdefinition-datasetformat-parquet
         */
        readonly parquet?: boolean | cdk.IResolvable;
    }
    /**
     * The CSV format.
     *
     * @struct
     * @stability external
     * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-dataqualityjobdefinition-csv.html
     */
    interface CsvProperty {
        /**
         * A boolean flag indicating if given CSV has header.
         *
         * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-dataqualityjobdefinition-csv.html#cfn-sagemaker-dataqualityjobdefinition-csv-header
         */
        readonly header?: boolean | cdk.IResolvable;
    }
    /**
     * The Json format.
     *
     * @struct
     * @stability external
     * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-dataqualityjobdefinition-json.html
     */
    interface JsonProperty {
        /**
         * A boolean flag indicating if it is JSON line format.
         *
         * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-dataqualityjobdefinition-json.html#cfn-sagemaker-dataqualityjobdefinition-json-line
         */
        readonly line?: boolean | cdk.IResolvable;
    }
    /**
     * Input object for the endpoint.
     *
     * @struct
     * @stability external
     * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-dataqualityjobdefinition-endpointinput.html
     */
    interface EndpointInputProperty {
        /**
         * An endpoint in customer's account which has enabled `DataCaptureConfig` enabled.
         *
         * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-dataqualityjobdefinition-endpointinput.html#cfn-sagemaker-dataqualityjobdefinition-endpointinput-endpointname
         */
        readonly endpointName: string;
        /**
         * The attributes of the input data to exclude from the analysis.
         *
         * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-dataqualityjobdefinition-endpointinput.html#cfn-sagemaker-dataqualityjobdefinition-endpointinput-excludefeaturesattribute
         */
        readonly excludeFeaturesAttribute?: string;
        /**
         * Path to the filesystem where the endpoint data is available to the container.
         *
         * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-dataqualityjobdefinition-endpointinput.html#cfn-sagemaker-dataqualityjobdefinition-endpointinput-localpath
         */
        readonly localPath: string;
        /**
         * Whether input data distributed in Amazon S3 is fully replicated or sharded by an Amazon S3 key.
         *
         * Defaults to `FullyReplicated`
         *
         * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-dataqualityjobdefinition-endpointinput.html#cfn-sagemaker-dataqualityjobdefinition-endpointinput-s3datadistributiontype
         */
        readonly s3DataDistributionType?: string;
        /**
         * Whether the `Pipe` or `File` is used as the input mode for transferring data for the monitoring job.
         *
         * `Pipe` mode is recommended for large datasets. `File` mode is useful for small files that fit in memory. Defaults to `File` .
         *
         * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-dataqualityjobdefinition-endpointinput.html#cfn-sagemaker-dataqualityjobdefinition-endpointinput-s3inputmode
         */
        readonly s3InputMode?: string;
    }
    /**
     * Information about the container that a data quality monitoring job runs.
     *
     * @struct
     * @stability external
     * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-dataqualityjobdefinition-dataqualityappspecification.html
     */
    interface DataQualityAppSpecificationProperty {
        /**
         * The arguments to send to the container that the monitoring job runs.
         *
         * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-dataqualityjobdefinition-dataqualityappspecification.html#cfn-sagemaker-dataqualityjobdefinition-dataqualityappspecification-containerarguments
         */
        readonly containerArguments?: Array<string>;
        /**
         * The entrypoint for a container used to run a monitoring job.
         *
         * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-dataqualityjobdefinition-dataqualityappspecification.html#cfn-sagemaker-dataqualityjobdefinition-dataqualityappspecification-containerentrypoint
         */
        readonly containerEntrypoint?: Array<string>;
        /**
         * Sets the environment variables in the container that the monitoring job runs.
         *
         * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-dataqualityjobdefinition-dataqualityappspecification.html#cfn-sagemaker-dataqualityjobdefinition-dataqualityappspecification-environment
         */
        readonly environment?: cdk.IResolvable | Record<string, string>;
        /**
         * The container image that the data quality monitoring job runs.
         *
         * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-dataqualityjobdefinition-dataqualityappspecification.html#cfn-sagemaker-dataqualityjobdefinition-dataqualityappspecification-imageuri
         */
        readonly imageUri: string;
        /**
         * An Amazon S3 URI to a script that is called after analysis has been performed.
         *
         * Applicable only for the built-in (first party) containers.
         *
         * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-dataqualityjobdefinition-dataqualityappspecification.html#cfn-sagemaker-dataqualityjobdefinition-dataqualityappspecification-postanalyticsprocessorsourceuri
         */
        readonly postAnalyticsProcessorSourceUri?: string;
        /**
         * An Amazon S3 URI to a script that is called per row prior to running analysis.
         *
         * It can base64 decode the payload and convert it into a flattened JSON so that the built-in container can use the converted data. Applicable only for the built-in (first party) containers.
         *
         * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-dataqualityjobdefinition-dataqualityappspecification.html#cfn-sagemaker-dataqualityjobdefinition-dataqualityappspecification-recordpreprocessorsourceuri
         */
        readonly recordPreprocessorSourceUri?: string;
    }
    /**
     * Specifies a limit to how long a job can run.
     *
     * When the job reaches the time limit, SageMaker ends the job. Use this API to cap costs.
     *
     * To stop a training job, SageMaker sends the algorithm the `SIGTERM` signal, which delays job termination for 120 seconds. Algorithms can use this 120-second window to save the model artifacts, so the results of training are not lost.
     *
     * The training algorithms provided by SageMaker automatically save the intermediate results of a model training job when possible. This attempt to save artifacts is only a best effort case as model might not be in a state from which it can be saved. For example, if training has just started, the model might not be ready to save. When saved, this intermediate data is a valid model artifact. You can use it to create a model with `CreateModel` .
     *
     * > The Neural Topic Model (NTM) currently does not support saving intermediate model artifacts. When training NTMs, make sure that the maximum runtime is sufficient for the training job to complete.
     *
     * @struct
     * @stability external
     * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-dataqualityjobdefinition-stoppingcondition.html
     */
    interface StoppingConditionProperty {
        /**
         * The maximum length of time, in seconds, that a training or compilation job can run before it is stopped.
         *
         * For compilation jobs, if the job does not complete during this time, a `TimeOut` error is generated. We recommend starting with 900 seconds and increasing as necessary based on your model.
         *
         * For all other jobs, if the job does not complete during this time, SageMaker ends the job. When `RetryStrategy` is specified in the job request, `MaxRuntimeInSeconds` specifies the maximum time for all of the attempts in total, not each individual attempt. The default value is 1 day. The maximum value is 28 days.
         *
         * The maximum time that a `TrainingJob` can run in total, including any time spent publishing metrics or archiving and uploading models after it has been stopped, is 30 days.
         *
         * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-dataqualityjobdefinition-stoppingcondition.html#cfn-sagemaker-dataqualityjobdefinition-stoppingcondition-maxruntimeinseconds
         */
        readonly maxRuntimeInSeconds: number;
    }
    /**
     * Identifies the resources to deploy for a monitoring job.
     *
     * @struct
     * @stability external
     * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-dataqualityjobdefinition-monitoringresources.html
     */
    interface MonitoringResourcesProperty {
        /**
         * The configuration for the cluster resources used to run the processing job.
         *
         * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-dataqualityjobdefinition-monitoringresources.html#cfn-sagemaker-dataqualityjobdefinition-monitoringresources-clusterconfig
         */
        readonly clusterConfig: CfnDataQualityJobDefinition.ClusterConfigProperty | cdk.IResolvable;
    }
    /**
     * The configuration for the cluster of resources used to run the processing job.
     *
     * @struct
     * @stability external
     * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-dataqualityjobdefinition-clusterconfig.html
     */
    interface ClusterConfigProperty {
        /**
         * The number of ML compute instances to use in the model monitoring job.
         *
         * For distributed processing jobs, specify a value greater than 1. The default value is 1.
         *
         * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-dataqualityjobdefinition-clusterconfig.html#cfn-sagemaker-dataqualityjobdefinition-clusterconfig-instancecount
         */
        readonly instanceCount: number;
        /**
         * The ML compute instance type for the processing job.
         *
         * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-dataqualityjobdefinition-clusterconfig.html#cfn-sagemaker-dataqualityjobdefinition-clusterconfig-instancetype
         */
        readonly instanceType: string;
        /**
         * The AWS Key Management Service ( AWS KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the model monitoring job.
         *
         * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-dataqualityjobdefinition-clusterconfig.html#cfn-sagemaker-dataqualityjobdefinition-clusterconfig-volumekmskeyid
         */
        readonly volumeKmsKeyId?: string;
        /**
         * The size of the ML storage volume, in gigabytes, that you want to provision.
         *
         * You must specify sufficient ML storage for your scenario.
         *
         * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-dataqualityjobdefinition-clusterconfig.html#cfn-sagemaker-dataqualityjobdefinition-clusterconfig-volumesizeingb
         */
        readonly volumeSizeInGb: number;
    }
    /**
     * Networking options for a job, such as network traffic encryption between containers, whether to allow inbound and outbound network calls to and from containers, and the VPC subnets and security groups to use for VPC-enabled jobs.
     *
     * @struct
     * @stability external
     * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-dataqualityjobdefinition-networkconfig.html
     */
    interface NetworkConfigProperty {
        /**
         * Whether to encrypt all communications between distributed processing jobs.
         *
         * Choose `True` to encrypt communications. Encryption provides greater security for distributed processing jobs, but the processing might take longer.
         *
         * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-dataqualityjobdefinition-networkconfig.html#cfn-sagemaker-dataqualityjobdefinition-networkconfig-enableintercontainertrafficencryption
         */
        readonly enableInterContainerTrafficEncryption?: boolean | cdk.IResolvable;
        /**
         * Whether to allow inbound and outbound network calls to and from the containers used for the processing job.
         *
         * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-dataqualityjobdefinition-networkconfig.html#cfn-sagemaker-dataqualityjobdefinition-networkconfig-enablenetworkisolation
         */
        readonly enableNetworkIsolation?: boolean | cdk.IResolvable;
        /**
         * Specifies a VPC that your training jobs and hosted models have access to.
         *
         * Control access to and from your training and model containers by configuring the VPC.
         *
         * @see http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-dataqualityjobdefinition-networkconfig.html#cfn-sagemaker-dataqualityjobde