import * as pulumi from "@pulumi/pulumi";
import { input as inputs, output as outputs } from "../../types";
/**
 * Creates a model which will later contain one or more versions. You must add at least one version before you can request predictions from the model. Add versions by calling projects.models.versions.create.
 */
export declare class Model extends pulumi.CustomResource {
    /**
     * Get an existing Model 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): Model;
    /**
     * Returns true if the given object is an instance of Model.  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 Model;
    /**
     * The default version of the model. This version will be used to handle prediction requests that do not specify a version. You can change the default version by calling projects.models.versions.setDefault.
     */
    readonly defaultVersion: pulumi.Output<outputs.ml.v1.GoogleCloudMlV1__VersionResponse>;
    /**
     * Optional. The description specified for the model when it was created.
     */
    readonly description: pulumi.Output<string>;
    /**
     * `etag` is used for optimistic concurrency control as a way to help prevent simultaneous updates of a model from overwriting each other. It is strongly suggested that systems make use of the `etag` in the read-modify-write cycle to perform model updates in order to avoid race conditions: An `etag` is returned in the response to `GetModel`, and systems are expected to put that etag in the request to `UpdateModel` to ensure that their change will be applied to the model as intended.
     */
    readonly etag: pulumi.Output<string>;
    /**
     * Optional. One or more labels that you can add, to organize your models. Each label is a key-value pair, where both the key and the value are arbitrary strings that you supply. For more information, see the documentation on using labels.
     */
    readonly labels: pulumi.Output<{
        [key: string]: string;
    }>;
    /**
     * Required. The name specified for the model when it was created. The model name must be unique within the project it is created in.
     */
    readonly name: pulumi.Output<string>;
    /**
     * Optional. If true, online prediction nodes send `stderr` and `stdout` streams to Cloud Logging. These can be more verbose than the standard access logs (see `onlinePredictionLogging`) and can incur higher cost. However, they are helpful for debugging. Note that [logs may incur a cost](/stackdriver/pricing), especially if your project receives prediction requests at a high QPS. Estimate your costs before enabling this option. Default is false.
     */
    readonly onlinePredictionConsoleLogging: pulumi.Output<boolean>;
    /**
     * Optional. If true, online prediction access logs are sent to Cloud Logging. These logs are like standard server access logs, containing information like timestamp and latency for each request. Note that [logs may incur a cost](/stackdriver/pricing), especially if your project receives prediction requests at a high queries per second rate (QPS). Estimate your costs before enabling this option. Default is false.
     */
    readonly onlinePredictionLogging: pulumi.Output<boolean>;
    /**
     * Optional. The list of regions where the model is going to be deployed. Only one region per model is supported. Defaults to 'us-central1' if nothing is set. See the available regions for AI Platform services. Note: * No matter where a model is deployed, it can always be accessed by users from anywhere, both for online and batch prediction. * The region for a batch prediction job is set by the region field when submitting the batch prediction job and does not take its value from this field.
     */
    readonly regions: pulumi.Output<string[]>;
    /**
     * Create a Model 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: ModelArgs, opts?: pulumi.CustomResourceOptions);
}
/**
 * The set of arguments for constructing a Model resource.
 */
export interface ModelArgs {
    /**
     * The default version of the model. This version will be used to handle prediction requests that do not specify a version. You can change the default version by calling projects.models.versions.setDefault.
     */
    readonly defaultVersion?: pulumi.Input<inputs.ml.v1.GoogleCloudMlV1__Version>;
    /**
     * Optional. The description specified for the model when it was created.
     */
    readonly description?: pulumi.Input<string>;
    /**
     * `etag` is used for optimistic concurrency control as a way to help prevent simultaneous updates of a model from overwriting each other. It is strongly suggested that systems make use of the `etag` in the read-modify-write cycle to perform model updates in order to avoid race conditions: An `etag` is returned in the response to `GetModel`, and systems are expected to put that etag in the request to `UpdateModel` to ensure that their change will be applied to the model as intended.
     */
    readonly etag?: pulumi.Input<string>;
    /**
     * Optional. One or more labels that you can add, to organize your models. Each label is a key-value pair, where both the key and the value are arbitrary strings that you supply. For more information, see the documentation on using labels.
     */
    readonly labels?: pulumi.Input<{
        [key: string]: pulumi.Input<string>;
    }>;
    readonly modelsId: pulumi.Input<string>;
    /**
     * Required. The name specified for the model when it was created. The model name must be unique within the project it is created in.
     */
    readonly name?: pulumi.Input<string>;
    /**
     * Optional. If true, online prediction nodes send `stderr` and `stdout` streams to Cloud Logging. These can be more verbose than the standard access logs (see `onlinePredictionLogging`) and can incur higher cost. However, they are helpful for debugging. Note that [logs may incur a cost](/stackdriver/pricing), especially if your project receives prediction requests at a high QPS. Estimate your costs before enabling this option. Default is false.
     */
    readonly onlinePredictionConsoleLogging?: pulumi.Input<boolean>;
    /**
     * Optional. If true, online prediction access logs are sent to Cloud Logging. These logs are like standard server access logs, containing information like timestamp and latency for each request. Note that [logs may incur a cost](/stackdriver/pricing), especially if your project receives prediction requests at a high queries per second rate (QPS). Estimate your costs before enabling this option. Default is false.
     */
    readonly onlinePredictionLogging?: pulumi.Input<boolean>;
    readonly projectsId: pulumi.Input<string>;
    /**
     * Optional. The list of regions where the model is going to be deployed. Only one region per model is supported. Defaults to 'us-central1' if nothing is set. See the available regions for AI Platform services. Note: * No matter where a model is deployed, it can always be accessed by users from anywhere, both for online and batch prediction. * The region for a batch prediction job is set by the region field when submitting the batch prediction job and does not take its value from this field.
     */
    readonly regions?: pulumi.Input<pulumi.Input<string>[]>;
}