import * as pulumi from "@pulumi/pulumi";
/**
 * This resource allows you to manage [MLflow experiments](https://docs.databricks.com/data/data-sources/mlflow-experiment.html) in Databricks.
 *
 * ## Example Usage
 *
 * ```typescript
 * import * as pulumi from "@pulumi/pulumi";
 * import * as databricks from "@pulumi/databricks";
 *
 * const me = databricks.getCurrentUser({});
 * const _this = new databricks.MlflowExperiment("this", {
 *     name: me.then(me => `${me.home}/Sample`),
 *     artifactLocation: "dbfs:/tmp/my-experiment",
 *     description: "My MLflow experiment description",
 * });
 * ```
 *
 * ## Access Control
 *
 * * databricks.Permissions can control which groups or individual users can *Read*, *Edit*, or *Manage* individual experiments.
 *
 * ## Related Resources
 *
 * The following resources are often used in the same context:
 *
 * * databricks.RegisteredModel to create [Models in Unity Catalog](https://docs.databricks.com/en/mlflow/models-in-uc.html) in Databricks.
 * * End to end workspace management guide.
 * * databricks.Directory to manage directories in [Databricks Workpace](https://docs.databricks.com/workspace/workspace-objects.html).
 * * databricks.MlflowModel to create models in the [workspace model registry](https://docs.databricks.com/en/mlflow/model-registry.html) in Databricks.
 * * databricks.Notebook to manage [Databricks Notebooks](https://docs.databricks.com/notebooks/index.html).
 * * databricks.Notebook data to export a notebook from Databricks Workspace.
 * * databricks.Repo to manage [Databricks Repos](https://docs.databricks.com/repos.html).
 *
 * ## Import
 *
 * The experiment resource can be imported using the id of the experiment
 *
 * bash
 *
 * ```sh
 * $ pulumi import databricks:index/mlflowExperiment:MlflowExperiment this <experiment-id>
 * ```
 */
export declare class MlflowExperiment extends pulumi.CustomResource {
    /**
     * Get an existing MlflowExperiment 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 state Any extra arguments used during the lookup.
     * @param opts Optional settings to control the behavior of the CustomResource.
     */
    static get(name: string, id: pulumi.Input<pulumi.ID>, state?: MlflowExperimentState, opts?: pulumi.CustomResourceOptions): MlflowExperiment;
    /**
     * Returns true if the given object is an instance of MlflowExperiment.  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 MlflowExperiment;
    /**
     * Path to dbfs:/ or s3:// artifact location of the MLflow experiment.
     */
    readonly artifactLocation: pulumi.Output<string | undefined>;
    readonly creationTime: pulumi.Output<number>;
    /**
     * The description of the MLflow experiment.
     */
    readonly description: pulumi.Output<string | undefined>;
    readonly experimentId: pulumi.Output<string>;
    readonly lastUpdateTime: pulumi.Output<number>;
    readonly lifecycleStage: pulumi.Output<string>;
    /**
     * Name of MLflow experiment. It must be an absolute path within the Databricks workspace, e.g. `/Users/<some-username>/my-experiment`. For more information about changes to experiment naming conventions, see [mlflow docs](https://docs.databricks.com/applications/mlflow/experiments.html#experiment-migration).
     */
    readonly name: pulumi.Output<string>;
    /**
     * Create a MlflowExperiment 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?: MlflowExperimentArgs, opts?: pulumi.CustomResourceOptions);
}
/**
 * Input properties used for looking up and filtering MlflowExperiment resources.
 */
export interface MlflowExperimentState {
    /**
     * Path to dbfs:/ or s3:// artifact location of the MLflow experiment.
     */
    artifactLocation?: pulumi.Input<string>;
    creationTime?: pulumi.Input<number>;
    /**
     * The description of the MLflow experiment.
     */
    description?: pulumi.Input<string>;
    experimentId?: pulumi.Input<string>;
    lastUpdateTime?: pulumi.Input<number>;
    lifecycleStage?: pulumi.Input<string>;
    /**
     * Name of MLflow experiment. It must be an absolute path within the Databricks workspace, e.g. `/Users/<some-username>/my-experiment`. For more information about changes to experiment naming conventions, see [mlflow docs](https://docs.databricks.com/applications/mlflow/experiments.html#experiment-migration).
     */
    name?: pulumi.Input<string>;
}
/**
 * The set of arguments for constructing a MlflowExperiment resource.
 */
export interface MlflowExperimentArgs {
    /**
     * Path to dbfs:/ or s3:// artifact location of the MLflow experiment.
     */
    artifactLocation?: pulumi.Input<string>;
    creationTime?: pulumi.Input<number>;
    /**
     * The description of the MLflow experiment.
     */
    description?: pulumi.Input<string>;
    experimentId?: pulumi.Input<string>;
    lastUpdateTime?: pulumi.Input<number>;
    lifecycleStage?: pulumi.Input<string>;
    /**
     * Name of MLflow experiment. It must be an absolute path within the Databricks workspace, e.g. `/Users/<some-username>/my-experiment`. For more information about changes to experiment naming conventions, see [mlflow docs](https://docs.databricks.com/applications/mlflow/experiments.html#experiment-migration).
     */
    name?: pulumi.Input<string>;
}