import * as pulumi from "@pulumi/pulumi";
import * as inputs from "../types/input";
import * as outputs from "../types/output";
import * as enums from "../types/enums";
/**
 * Definition of AWS::CleanRoomsML::TrainingDataset Resource Type
 */
export declare class TrainingDataset extends pulumi.CustomResource {
    /**
     * Get an existing TrainingDataset resource's state with the given name, ID, and optional extra
     * properties used to qualify the lookup.
     *
     * @param name The _unique_ name of the resulting resource.
     * @param id The _unique_ provider ID of the resource to lookup.
     * @param opts Optional settings to control the behavior of the CustomResource.
     */
    static get(name: string, id: pulumi.Input<pulumi.ID>, opts?: pulumi.CustomResourceOptions): TrainingDataset;
    /**
     * Returns true if the given object is an instance of TrainingDataset.  This is designed to work even
     * when multiple copies of the Pulumi SDK have been loaded into the same process.
     */
    static isInstance(obj: any): obj is TrainingDataset;
    /**
     * The description of the training dataset.
     */
    readonly description: pulumi.Output<string | undefined>;
    /**
     * The name of the training dataset.
     */
    readonly name: pulumi.Output<string>;
    /**
     * The ARN of the IAM role that Clean Rooms ML can assume to read the data referred to in the `dataSource` field of each dataset.
     *
     * Passing a role across accounts is not allowed. If you pass a role that isn't in your account, you get an `AccessDeniedException` error.
     */
    readonly roleArn: pulumi.Output<string>;
    /**
     * The status of the training dataset.
     */
    readonly status: pulumi.Output<enums.cleanroomsml.TrainingDatasetStatus>;
    /**
     * An arbitrary set of tags (key-value pairs) for this cleanrooms-ml training dataset.
     */
    readonly tags: pulumi.Output<outputs.Tag[] | undefined>;
    /**
     * An array of information that lists the Dataset objects, which specifies the dataset type and details on its location and schema. You must provide a role that has read access to these tables.
     */
    readonly trainingData: pulumi.Output<outputs.cleanroomsml.TrainingDatasetDataset[]>;
    /**
     * The Amazon Resource Name (ARN) of the training dataset.
     */
    readonly trainingDatasetArn: pulumi.Output<string>;
    /**
     * Create a TrainingDataset resource with the given unique name, arguments, and options.
     *
     * @param name The _unique_ name of the resource.
     * @param args The arguments to use to populate this resource's properties.
     * @param opts A bag of options that control this resource's behavior.
     */
    constructor(name: string, args: TrainingDatasetArgs, opts?: pulumi.CustomResourceOptions);
}
/**
 * The set of arguments for constructing a TrainingDataset resource.
 */
export interface TrainingDatasetArgs {
    /**
     * The description of the training dataset.
     */
    description?: pulumi.Input<string>;
    /**
     * The name of the training dataset.
     */
    name?: pulumi.Input<string>;
    /**
     * The ARN of the IAM role that Clean Rooms ML can assume to read the data referred to in the `dataSource` field of each dataset.
     *
     * Passing a role across accounts is not allowed. If you pass a role that isn't in your account, you get an `AccessDeniedException` error.
     */
    roleArn: pulumi.Input<string>;
    /**
     * An arbitrary set of tags (key-value pairs) for this cleanrooms-ml training dataset.
     */
    tags?: pulumi.Input<pulumi.Input<inputs.TagArgs>[]>;
    /**
     * An array of information that lists the Dataset objects, which specifies the dataset type and details on its location and schema. You must provide a role that has read access to these tables.
     */
    trainingData: pulumi.Input<pulumi.Input<inputs.cleanroomsml.TrainingDatasetDatasetArgs>[]>;
}