import * as pulumi from "@pulumi/pulumi";
import * as inputs from "../../types/input";
import * as outputs from "../../types/output";
import * as enums from "../../types/enums";
/**
 * Creates a new model.
 */
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;
    readonly catalogId: pulumi.Output<string>;
    /**
     * Timestamp the Recommendation Model was created at.
     */
    readonly createTime: pulumi.Output<string>;
    /**
     * The state of data requirements for this model: `DATA_OK` and `DATA_ERROR`. Recommendation model cannot be trained if the data is in `DATA_ERROR` state. Recommendation model can have `DATA_ERROR` state even if serving state is `ACTIVE`: models were trained successfully before, but cannot be refreshed because model no longer has sufficient data for training.
     */
    readonly dataState: pulumi.Output<string>;
    /**
     * The display name of the model. Should be human readable, used to display Recommendation Models in the Retail Cloud Console Dashboard. UTF-8 encoded string with limit of 1024 characters.
     */
    readonly displayName: pulumi.Output<string>;
    /**
     * Optional. Whether to run a dry run to validate the request (without actually creating the model).
     */
    readonly dryRun: pulumi.Output<boolean | undefined>;
    /**
     * Optional. If `RECOMMENDATIONS_FILTERING_ENABLED`, recommendation filtering by attributes is enabled for the model.
     */
    readonly filteringOption: pulumi.Output<string>;
    /**
     * The timestamp when the latest successful tune finished.
     */
    readonly lastTuneTime: pulumi.Output<string>;
    readonly location: pulumi.Output<string>;
    /**
     * Optional. Additional model features config.
     */
    readonly modelFeaturesConfig: pulumi.Output<outputs.retail.v2alpha.GoogleCloudRetailV2alphaModelModelFeaturesConfigResponse>;
    /**
     * The fully qualified resource name of the model. Format: `projects/{project_number}/locations/{location_id}/catalogs/{catalog_id}/models/{model_id}` catalog_id has char limit of 50. recommendation_model_id has char limit of 40.
     */
    readonly name: pulumi.Output<string>;
    /**
     * Optional. The optimization objective e.g. `cvr`. Currently supported values: `ctr`, `cvr`, `revenue-per-order`. If not specified, we choose default based on model type. Default depends on type of recommendation: `recommended-for-you` => `ctr` `others-you-may-like` => `ctr` `frequently-bought-together` => `revenue_per_order` This field together with optimization_objective describe model metadata to use to control model training and serving. See https://cloud.google.com/retail/docs/models for more details on what the model metadata control and which combination of parameters are valid. For invalid combinations of parameters (e.g. type = `frequently-bought-together` and optimization_objective = `ctr`), you receive an error 400 if you try to create/update a recommendation with this set of knobs.
     */
    readonly optimizationObjective: pulumi.Output<string>;
    /**
     * Optional. The page optimization config.
     */
    readonly pageOptimizationConfig: pulumi.Output<outputs.retail.v2alpha.GoogleCloudRetailV2alphaModelPageOptimizationConfigResponse>;
    /**
     * Optional. The state of periodic tuning. The period we use is 3 months - to do a one-off tune earlier use the `TuneModel` method. Default value is `PERIODIC_TUNING_ENABLED`.
     */
    readonly periodicTuningState: pulumi.Output<string>;
    readonly project: pulumi.Output<string>;
    /**
     * The list of valid serving configs associated with the PageOptimizationConfig.
     */
    readonly servingConfigLists: pulumi.Output<outputs.retail.v2alpha.GoogleCloudRetailV2alphaModelServingConfigListResponse[]>;
    /**
     * The serving state of the model: `ACTIVE`, `NOT_ACTIVE`.
     */
    readonly servingState: pulumi.Output<string>;
    /**
     * Optional. The training state that the model is in (e.g. `TRAINING` or `PAUSED`). Since part of the cost of running the service is frequency of training - this can be used to determine when to train model in order to control cost. If not specified: the default value for `CreateModel` method is `TRAINING`. The default value for `UpdateModel` method is to keep the state the same as before.
     */
    readonly trainingState: pulumi.Output<string>;
    /**
     * The tune operation associated with the model. Can be used to determine if there is an ongoing tune for this recommendation. Empty field implies no tune is goig on.
     */
    readonly tuningOperation: pulumi.Output<string>;
    /**
     * The type of model e.g. `home-page`. Currently supported values: `recommended-for-you`, `others-you-may-like`, `frequently-bought-together`, `page-optimization`, `similar-items`, `buy-it-again`, `on-sale-items`, and `recently-viewed`(readonly value). This field together with optimization_objective describe model metadata to use to control model training and serving. See https://cloud.google.com/retail/docs/models for more details on what the model metadata control and which combination of parameters are valid. For invalid combinations of parameters (e.g. type = `frequently-bought-together` and optimization_objective = `ctr`), you receive an error 400 if you try to create/update a recommendation with this set of knobs.
     */
    readonly type: pulumi.Output<string>;
    /**
     * Timestamp the Recommendation Model was last updated. E.g. if a Recommendation Model was paused - this would be the time the pause was initiated.
     */
    readonly updateTime: 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 {
    catalogId: pulumi.Input<string>;
    /**
     * The display name of the model. Should be human readable, used to display Recommendation Models in the Retail Cloud Console Dashboard. UTF-8 encoded string with limit of 1024 characters.
     */
    displayName: pulumi.Input<string>;
    /**
     * Optional. Whether to run a dry run to validate the request (without actually creating the model).
     */
    dryRun?: pulumi.Input<boolean>;
    /**
     * Optional. If `RECOMMENDATIONS_FILTERING_ENABLED`, recommendation filtering by attributes is enabled for the model.
     */
    filteringOption?: pulumi.Input<enums.retail.v2alpha.ModelFilteringOption>;
    location?: pulumi.Input<string>;
    /**
     * Optional. Additional model features config.
     */
    modelFeaturesConfig?: pulumi.Input<inputs.retail.v2alpha.GoogleCloudRetailV2alphaModelModelFeaturesConfigArgs>;
    /**
     * The fully qualified resource name of the model. Format: `projects/{project_number}/locations/{location_id}/catalogs/{catalog_id}/models/{model_id}` catalog_id has char limit of 50. recommendation_model_id has char limit of 40.
     */
    name?: pulumi.Input<string>;
    /**
     * Optional. The optimization objective e.g. `cvr`. Currently supported values: `ctr`, `cvr`, `revenue-per-order`. If not specified, we choose default based on model type. Default depends on type of recommendation: `recommended-for-you` => `ctr` `others-you-may-like` => `ctr` `frequently-bought-together` => `revenue_per_order` This field together with optimization_objective describe model metadata to use to control model training and serving. See https://cloud.google.com/retail/docs/models for more details on what the model metadata control and which combination of parameters are valid. For invalid combinations of parameters (e.g. type = `frequently-bought-together` and optimization_objective = `ctr`), you receive an error 400 if you try to create/update a recommendation with this set of knobs.
     */
    optimizationObjective?: pulumi.Input<string>;
    /**
     * Optional. The page optimization config.
     */
    pageOptimizationConfig?: pulumi.Input<inputs.retail.v2alpha.GoogleCloudRetailV2alphaModelPageOptimizationConfigArgs>;
    /**
     * Optional. The state of periodic tuning. The period we use is 3 months - to do a one-off tune earlier use the `TuneModel` method. Default value is `PERIODIC_TUNING_ENABLED`.
     */
    periodicTuningState?: pulumi.Input<enums.retail.v2alpha.ModelPeriodicTuningState>;
    project?: pulumi.Input<string>;
    /**
     * Optional. The training state that the model is in (e.g. `TRAINING` or `PAUSED`). Since part of the cost of running the service is frequency of training - this can be used to determine when to train model in order to control cost. If not specified: the default value for `CreateModel` method is `TRAINING`. The default value for `UpdateModel` method is to keep the state the same as before.
     */
    trainingState?: pulumi.Input<enums.retail.v2alpha.ModelTrainingState>;
    /**
     * The type of model e.g. `home-page`. Currently supported values: `recommended-for-you`, `others-you-may-like`, `frequently-bought-together`, `page-optimization`, `similar-items`, `buy-it-again`, `on-sale-items`, and `recently-viewed`(readonly value). This field together with optimization_objective describe model metadata to use to control model training and serving. See https://cloud.google.com/retail/docs/models for more details on what the model metadata control and which combination of parameters are valid. For invalid combinations of parameters (e.g. type = `frequently-bought-together` and optimization_objective = `ctr`), you receive an error 400 if you try to create/update a recommendation with this set of knobs.
     */
    type: pulumi.Input<string>;
}