"use strict";
// *** WARNING: this file was generated by pulumi-language-nodejs. ***
// *** Do not edit by hand unless you're certain you know what you are doing! ***
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Object.defineProperty(exports, "__esModule", { value: true });
exports.Model = void 0;
const pulumi = __importStar(require("@pulumi/pulumi"));
const utilities = __importStar(require("../utilities"));
/**
 * This resource provides the Model resource in Oracle Cloud Infrastructure Ai Vision service.
 * Api doc link for the resource: https://docs.oracle.com/iaas/api/#/en/vision/latest/Model
 *
 * Example terraform configs related to the resource : https://github.com/oracle/terraform-provider-oci/tree/master/examples/aiVision
 *
 * Create a new model.
 *
 * ## Example Usage
 *
 * ```typescript
 * import * as pulumi from "@pulumi/pulumi";
 * import * as oci from "@pulumi/oci";
 *
 * const testModel = new oci.aivision.Model("test_model", {
 *     compartmentId: compartmentId,
 *     modelType: modelModelType,
 *     projectId: testProject.id,
 *     trainingDataset: {
 *         datasetType: modelTrainingDatasetDatasetType,
 *         bucket: modelTrainingDatasetBucket,
 *         datasetId: testDataset.id,
 *         namespaceName: modelTrainingDatasetNamespace,
 *         object: modelTrainingDatasetObject,
 *     },
 *     definedTags: modelDefinedTags,
 *     description: modelDescription,
 *     displayName: modelDisplayName,
 *     freeformTags: modelFreeformTags,
 *     isQuickMode: modelIsQuickMode === "true",
 *     maxTrainingDurationInHours: modelMaxTrainingDurationInHours,
 *     modelVersion: modelModelVersion,
 *     testingDataset: {
 *         datasetType: modelTestingDatasetDatasetType,
 *         bucket: modelTestingDatasetBucket,
 *         datasetId: testDataset.id,
 *         namespaceName: modelTestingDatasetNamespace,
 *         object: modelTestingDatasetObject,
 *     },
 *     validationDataset: {
 *         datasetType: modelValidationDatasetDatasetType,
 *         bucket: modelValidationDatasetBucket,
 *         datasetId: testDataset.id,
 *         namespaceName: modelValidationDatasetNamespace,
 *         object: modelValidationDatasetObject,
 *     },
 * });
 * ```
 *
 * ## Import
 *
 * Models can be imported using the `id`, e.g.
 *
 * ```sh
 * $ pulumi import oci:AiVision/model:Model test_model "id"
 * ```
 */
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 state Any extra arguments used during the lookup.
     * @param opts Optional settings to control the behavior of the CustomResource.
     */
    static get(name, id, state, opts) {
        return new Model(name, state, { ...opts, id: id });
    }
    /** @internal */
    static __pulumiType = 'oci:AiVision/model: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) {
        if (obj === undefined || obj === null) {
            return false;
        }
        return obj['__pulumiType'] === Model.__pulumiType;
    }
    constructor(name, argsOrState, opts) {
        let resourceInputs = {};
        opts = opts || {};
        if (opts.id) {
            const state = argsOrState;
            resourceInputs["averagePrecision"] = state?.averagePrecision;
            resourceInputs["compartmentId"] = state?.compartmentId;
            resourceInputs["confidenceThreshold"] = state?.confidenceThreshold;
            resourceInputs["definedTags"] = state?.definedTags;
            resourceInputs["description"] = state?.description;
            resourceInputs["displayName"] = state?.displayName;
            resourceInputs["freeformTags"] = state?.freeformTags;
            resourceInputs["isQuickMode"] = state?.isQuickMode;
            resourceInputs["lifecycleDetails"] = state?.lifecycleDetails;
            resourceInputs["maxTrainingDurationInHours"] = state?.maxTrainingDurationInHours;
            resourceInputs["metrics"] = state?.metrics;
            resourceInputs["modelType"] = state?.modelType;
            resourceInputs["modelVersion"] = state?.modelVersion;
            resourceInputs["precision"] = state?.precision;
            resourceInputs["projectId"] = state?.projectId;
            resourceInputs["recall"] = state?.recall;
            resourceInputs["state"] = state?.state;
            resourceInputs["systemTags"] = state?.systemTags;
            resourceInputs["testImageCount"] = state?.testImageCount;
            resourceInputs["testingDataset"] = state?.testingDataset;
            resourceInputs["timeCreated"] = state?.timeCreated;
            resourceInputs["timeUpdated"] = state?.timeUpdated;
            resourceInputs["totalImageCount"] = state?.totalImageCount;
            resourceInputs["trainedDurationInHours"] = state?.trainedDurationInHours;
            resourceInputs["trainingDataset"] = state?.trainingDataset;
            resourceInputs["validationDataset"] = state?.validationDataset;
        }
        else {
            const args = argsOrState;
            if (args?.compartmentId === undefined && !opts.urn) {
                throw new Error("Missing required property 'compartmentId'");
            }
            if (args?.modelType === undefined && !opts.urn) {
                throw new Error("Missing required property 'modelType'");
            }
            if (args?.projectId === undefined && !opts.urn) {
                throw new Error("Missing required property 'projectId'");
            }
            if (args?.trainingDataset === undefined && !opts.urn) {
                throw new Error("Missing required property 'trainingDataset'");
            }
            resourceInputs["compartmentId"] = args?.compartmentId;
            resourceInputs["definedTags"] = args?.definedTags;
            resourceInputs["description"] = args?.description;
            resourceInputs["displayName"] = args?.displayName;
            resourceInputs["freeformTags"] = args?.freeformTags;
            resourceInputs["isQuickMode"] = args?.isQuickMode;
            resourceInputs["maxTrainingDurationInHours"] = args?.maxTrainingDurationInHours;
            resourceInputs["modelType"] = args?.modelType;
            resourceInputs["modelVersion"] = args?.modelVersion;
            resourceInputs["projectId"] = args?.projectId;
            resourceInputs["testingDataset"] = args?.testingDataset;
            resourceInputs["trainingDataset"] = args?.trainingDataset;
            resourceInputs["validationDataset"] = args?.validationDataset;
            resourceInputs["averagePrecision"] = undefined /*out*/;
            resourceInputs["confidenceThreshold"] = undefined /*out*/;
            resourceInputs["lifecycleDetails"] = undefined /*out*/;
            resourceInputs["metrics"] = undefined /*out*/;
            resourceInputs["precision"] = undefined /*out*/;
            resourceInputs["recall"] = undefined /*out*/;
            resourceInputs["state"] = undefined /*out*/;
            resourceInputs["systemTags"] = undefined /*out*/;
            resourceInputs["testImageCount"] = undefined /*out*/;
            resourceInputs["timeCreated"] = undefined /*out*/;
            resourceInputs["timeUpdated"] = undefined /*out*/;
            resourceInputs["totalImageCount"] = undefined /*out*/;
            resourceInputs["trainedDurationInHours"] = undefined /*out*/;
        }
        opts = pulumi.mergeOptions(utilities.resourceOptsDefaults(), opts);
        super(Model.__pulumiType, name, resourceInputs, opts);
    }
}
exports.Model = Model;
//# sourceMappingURL=model.js.map