agent-claw: automated task changes

cdk/node_modules/aws-cdk-lib/aws-stepfunctions-tasks/lib/sagemaker/create-training-job.d.ts

@@ -0,0 +1,177 @@
+import type { Construct } from 'constructs';
+import type { AlgorithmSpecification, Channel, OutputDataConfig, ResourceConfig, StoppingCondition, VpcConfig } from './base-types';
+import * as ec2 from '../../../aws-ec2';
+import * as iam from '../../../aws-iam';
+import * as sfn from '../../../aws-stepfunctions';
+interface SageMakerCreateTrainingJobOptions {
+    /**
+     * Training Job Name.
+     */
+    readonly trainingJobName: string;
+    /**
+     * Role for the Training Job. The role must be granted all necessary permissions for the SageMaker training job to
+     * be able to operate.
+     *
+     * See https://docs.aws.amazon.com/fr_fr/sagemaker/latest/dg/sagemaker-roles.html#sagemaker-roles-createtrainingjob-perms
+     *
+     * @default - a role will be created.
+     */
+    readonly role?: iam.IRole;
+    /**
+     * Identifies the training algorithm to use.
+     */
+    readonly algorithmSpecification: AlgorithmSpecification;
+    /**
+     * Isolates the training container. No inbound or outbound network calls can be made to or from the training container.
+     *
+     * @default false
+     */
+    readonly enableNetworkIsolation?: boolean;
+    /**
+     * Algorithm-specific parameters that influence the quality of the model. Set hyperparameters before you start the learning process.
+     * For a list of hyperparameters provided by Amazon SageMaker
+     * @see https://docs.aws.amazon.com/sagemaker/latest/dg/algos.html
+     *
+     * @default - No hyperparameters
+     */
+    readonly hyperparameters?: {
+        [key: string]: any;
+    };
+    /**
+     *  Describes the various datasets (e.g. train, validation, test) and the Amazon S3 location where stored.
+     *
+     * @default - No inputDataConfig
+     */
+    readonly inputDataConfig?: Channel[];
+    /**
+     * Tags to be applied to the train job.
+     *
+     * @default - No tags
+     */
+    readonly tags?: {
+        [key: string]: string;
+    };
+    /**
+     * Identifies the Amazon S3 location where you want Amazon SageMaker to save the results of model training.
+     */
+    readonly outputDataConfig: OutputDataConfig;
+    /**
+     * Specifies the resources, ML compute instances, and ML storage volumes to deploy for model training.
+     *
+     * @default - 1 instance of EC2 `M4.XLarge` with `10GB` volume
+     */
+    readonly resourceConfig?: ResourceConfig;
+    /**
+     * Sets a time limit for training.
+     *
+     * @default - max runtime of 1 hour
+     */
+    readonly stoppingCondition?: StoppingCondition;
+    /**
+     * Specifies the VPC that you want your training job to connect to.
+     *
+     * @default - No VPC
+     */
+    readonly vpcConfig?: VpcConfig;
+    /**
+     * Environment variables to set in the Docker container.
+     *
+     * @default - No environment variables
+     */
+    readonly environment?: {
+        [key: string]: string;
+    };
+}
+/**
+ * Properties for creating an Amazon SageMaker training job using JSONPath
+ */
+export interface SageMakerCreateTrainingJobJsonPathProps extends sfn.TaskStateJsonPathBaseProps, SageMakerCreateTrainingJobOptions {
+}
+/**
+ * Properties for creating an Amazon SageMaker training job using JSONata
+ */
+export interface SageMakerCreateTrainingJobJsonataProps extends sfn.TaskStateJsonataBaseProps, SageMakerCreateTrainingJobOptions {
+}
+/**
+ * Properties for creating an Amazon SageMaker training job
+ */
+export interface SageMakerCreateTrainingJobProps extends sfn.TaskStateBaseProps, SageMakerCreateTrainingJobOptions {
+}
+/**
+ * Class representing the SageMaker Create Training Job task.
+ */
+export declare class SageMakerCreateTrainingJob extends sfn.TaskStateBase implements iam.IGrantable, ec2.IConnectable {
+    private readonly props;
+    /**
+     * Uniquely identifies this class.
+     */
+    static readonly PROPERTY_INJECTION_ID: string;
+    /**
+     * A Step Functions Task using JSONPath to create a SageMaker training job.
+     */
+    static jsonPath(scope: Construct, id: string, props: SageMakerCreateTrainingJobJsonPathProps): SageMakerCreateTrainingJob;
+    /**
+     * A Step Functions Task using JSONata to create a SageMaker training job.
+     */
+    static jsonata(scope: Construct, id: string, props: SageMakerCreateTrainingJobJsonataProps): SageMakerCreateTrainingJob;
+    private static readonly SUPPORTED_INTEGRATION_PATTERNS;
+    /**
+     * Allows specify security group connections for instances of this fleet.
+     */
+    readonly connections: ec2.Connections;
+    protected readonly taskPolicies?: iam.PolicyStatement[];
+    protected readonly taskMetrics?: sfn.TaskMetricsConfig;
+    /**
+     * The Algorithm Specification
+     */
+    private readonly algorithmSpecification;
+    /**
+     * The Input Data Config.
+     */
+    private readonly inputDataConfig?;
+    /**
+     * The resource config for the task.
+     */
+    private readonly resourceConfig;
+    /**
+     * The resource config for the task.
+     */
+    private readonly stoppingCondition;
+    private readonly vpc?;
+    private securityGroup?;
+    private readonly _securityGroups;
+    private readonly subnets?;
+    private readonly integrationPattern;
+    private _role?;
+    private _grantPrincipal?;
+    constructor(scope: Construct, id: string, props: SageMakerCreateTrainingJobProps);
+    /**
+     * The execution role for the Sagemaker training job.
+     *
+     * Only available after task has been added to a state machine.
+     */
+    get role(): iam.IRole;
+    get grantPrincipal(): iam.IPrincipal;
+    /**
+     * Add the security group to all instances via the launch configuration
+     * security groups array.
+     *
+     * @param securityGroup: The security group to add
+     */
+    addSecurityGroup(securityGroup: ec2.ISecurityGroup): void;
+    /**
+     * @internal
+     */
+    protected _renderTask(topLevelQueryLanguage?: sfn.QueryLanguage): any;
+    private renderParameters;
+    private renderAlgorithmSpecification;
+    private renderInputDataConfig;
+    private renderOutputDataConfig;
+    private renderResourceConfig;
+    private renderStoppingCondition;
+    private renderHyperparameters;
+    private renderVpcConfig;
+    private validateAlgorithmName;
+    private makePolicyStatements;
+}
+export {};