Google Cloud Native v0.32.0, Nov 29 23

Google Cloud Native is in preview. Google Cloud Classic is fully supported.

Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi

pulumi/pulumi-google-native

google-native.retail/v2alpha.Model

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Google Cloud Native is in preview. Google Cloud Classic is fully supported.

Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi

pulumi/pulumi-google-native

Create Model Resource

Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.

Constructor syntax

new Model(name: string, args: ModelArgs, opts?: CustomResourceOptions);

@overload
def Model(resource_name: str,
          args: ModelArgs,
          opts: Optional[ResourceOptions] = None)

@overload
def Model(resource_name: str,
          opts: Optional[ResourceOptions] = None,
          catalog_id: Optional[str] = None,
          display_name: Optional[str] = None,
          type: Optional[str] = None,
          name: Optional[str] = None,
          location: Optional[str] = None,
          model_features_config: Optional[GoogleCloudRetailV2alphaModelModelFeaturesConfigArgs] = None,
          filtering_option: Optional[ModelFilteringOption] = None,
          optimization_objective: Optional[str] = None,
          page_optimization_config: Optional[GoogleCloudRetailV2alphaModelPageOptimizationConfigArgs] = None,
          periodic_tuning_state: Optional[ModelPeriodicTuningState] = None,
          project: Optional[str] = None,
          training_state: Optional[ModelTrainingState] = None,
          dry_run: Optional[bool] = None)

func NewModel(ctx *Context, name string, args ModelArgs, opts ...ResourceOption) (*Model, error)

public Model(string name, ModelArgs args, CustomResourceOptions? opts = null)

public Model(String name, ModelArgs args)
public Model(String name, ModelArgs args, CustomResourceOptions options)

type: google-native:retail/v2alpha:Model
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.

Parameters

name string: The unique name of the resource.
args ModelArgs: The arguments to resource properties.
opts CustomResourceOptions: Bag of options to control resource's behavior.

resource_name str: The unique name of the resource.
args ModelArgs: The arguments to resource properties.
opts ResourceOptions: Bag of options to control resource's behavior.

ctx Context: Context object for the current deployment.
name string: The unique name of the resource.
args ModelArgs: The arguments to resource properties.
opts ResourceOption: Bag of options to control resource's behavior.

name string: The unique name of the resource.
args ModelArgs: The arguments to resource properties.
opts CustomResourceOptions: Bag of options to control resource's behavior.

name String: The unique name of the resource.
args ModelArgs: The arguments to resource properties.
options CustomResourceOptions: Bag of options to control resource's behavior.

Example

The following reference example uses placeholder values for all input properties.

var examplemodelResourceResourceFromRetailv2alpha = new GoogleNative.Retail.V2Alpha.Model("examplemodelResourceResourceFromRetailv2alpha", new()
{
    CatalogId = "string",
    DisplayName = "string",
    Type = "string",
    Name = "string",
    Location = "string",
    ModelFeaturesConfig = new GoogleNative.Retail.V2Alpha.Inputs.GoogleCloudRetailV2alphaModelModelFeaturesConfigArgs
    {
        FrequentlyBoughtTogetherConfig = new GoogleNative.Retail.V2Alpha.Inputs.GoogleCloudRetailV2alphaModelFrequentlyBoughtTogetherFeaturesConfigArgs
        {
            ContextProductsType = GoogleNative.Retail.V2Alpha.GoogleCloudRetailV2alphaModelFrequentlyBoughtTogetherFeaturesConfigContextProductsType.ContextProductsTypeUnspecified,
        },
    },
    FilteringOption = GoogleNative.Retail.V2Alpha.ModelFilteringOption.RecommendationsFilteringOptionUnspecified,
    OptimizationObjective = "string",
    PageOptimizationConfig = new GoogleNative.Retail.V2Alpha.Inputs.GoogleCloudRetailV2alphaModelPageOptimizationConfigArgs
    {
        PageOptimizationEventType = "string",
        Panels = new[]
        {
            new GoogleNative.Retail.V2Alpha.Inputs.GoogleCloudRetailV2alphaModelPageOptimizationConfigPanelArgs
            {
                Candidates = new[]
                {
                    new GoogleNative.Retail.V2Alpha.Inputs.GoogleCloudRetailV2alphaModelPageOptimizationConfigCandidateArgs
                    {
                        ServingConfigId = "string",
                    },
                },
                DefaultCandidate = new GoogleNative.Retail.V2Alpha.Inputs.GoogleCloudRetailV2alphaModelPageOptimizationConfigCandidateArgs
                {
                    ServingConfigId = "string",
                },
                DisplayName = "string",
            },
        },
        Restriction = GoogleNative.Retail.V2Alpha.GoogleCloudRetailV2alphaModelPageOptimizationConfigRestriction.RestrictionUnspecified,
    },
    PeriodicTuningState = GoogleNative.Retail.V2Alpha.ModelPeriodicTuningState.PeriodicTuningStateUnspecified,
    Project = "string",
    TrainingState = GoogleNative.Retail.V2Alpha.ModelTrainingState.TrainingStateUnspecified,
    DryRun = false,
});

example, err := retailv2alpha.NewModel(ctx, "examplemodelResourceResourceFromRetailv2alpha", &retailv2alpha.ModelArgs{
CatalogId: pulumi.String("string"),
DisplayName: pulumi.String("string"),
Type: pulumi.String("string"),
Name: pulumi.String("string"),
Location: pulumi.String("string"),
ModelFeaturesConfig: &retail.GoogleCloudRetailV2alphaModelModelFeaturesConfigArgs{
FrequentlyBoughtTogetherConfig: &retail.GoogleCloudRetailV2alphaModelFrequentlyBoughtTogetherFeaturesConfigArgs{
ContextProductsType: retailv2alpha.GoogleCloudRetailV2alphaModelFrequentlyBoughtTogetherFeaturesConfigContextProductsTypeContextProductsTypeUnspecified,
},
},
FilteringOption: retailv2alpha.ModelFilteringOptionRecommendationsFilteringOptionUnspecified,
OptimizationObjective: pulumi.String("string"),
PageOptimizationConfig: &retail.GoogleCloudRetailV2alphaModelPageOptimizationConfigArgs{
PageOptimizationEventType: pulumi.String("string"),
Panels: retail.GoogleCloudRetailV2alphaModelPageOptimizationConfigPanelArray{
&retail.GoogleCloudRetailV2alphaModelPageOptimizationConfigPanelArgs{
Candidates: retail.GoogleCloudRetailV2alphaModelPageOptimizationConfigCandidateArray{
&retail.GoogleCloudRetailV2alphaModelPageOptimizationConfigCandidateArgs{
ServingConfigId: pulumi.String("string"),
},
},
DefaultCandidate: &retail.GoogleCloudRetailV2alphaModelPageOptimizationConfigCandidateArgs{
ServingConfigId: pulumi.String("string"),
},
DisplayName: pulumi.String("string"),
},
},
Restriction: retailv2alpha.GoogleCloudRetailV2alphaModelPageOptimizationConfigRestrictionRestrictionUnspecified,
},
PeriodicTuningState: retailv2alpha.ModelPeriodicTuningStatePeriodicTuningStateUnspecified,
Project: pulumi.String("string"),
TrainingState: retailv2alpha.ModelTrainingStateTrainingStateUnspecified,
DryRun: pulumi.Bool(false),
})

var examplemodelResourceResourceFromRetailv2alpha = new Model("examplemodelResourceResourceFromRetailv2alpha", ModelArgs.builder()        
    .catalogId("string")
    .displayName("string")
    .type("string")
    .name("string")
    .location("string")
    .modelFeaturesConfig(GoogleCloudRetailV2alphaModelModelFeaturesConfigArgs.builder()
        .frequentlyBoughtTogetherConfig(GoogleCloudRetailV2alphaModelFrequentlyBoughtTogetherFeaturesConfigArgs.builder()
            .contextProductsType("CONTEXT_PRODUCTS_TYPE_UNSPECIFIED")
            .build())
        .build())
    .filteringOption("RECOMMENDATIONS_FILTERING_OPTION_UNSPECIFIED")
    .optimizationObjective("string")
    .pageOptimizationConfig(GoogleCloudRetailV2alphaModelPageOptimizationConfigArgs.builder()
        .pageOptimizationEventType("string")
        .panels(GoogleCloudRetailV2alphaModelPageOptimizationConfigPanelArgs.builder()
            .candidates(GoogleCloudRetailV2alphaModelPageOptimizationConfigCandidateArgs.builder()
                .servingConfigId("string")
                .build())
            .defaultCandidate(GoogleCloudRetailV2alphaModelPageOptimizationConfigCandidateArgs.builder()
                .servingConfigId("string")
                .build())
            .displayName("string")
            .build())
        .restriction("RESTRICTION_UNSPECIFIED")
        .build())
    .periodicTuningState("PERIODIC_TUNING_STATE_UNSPECIFIED")
    .project("string")
    .trainingState("TRAINING_STATE_UNSPECIFIED")
    .dryRun(false)
    .build());

examplemodel_resource_resource_from_retailv2alpha = google_native.retail.v2alpha.Model("examplemodelResourceResourceFromRetailv2alpha",
    catalog_id="string",
    display_name="string",
    type="string",
    name="string",
    location="string",
    model_features_config=google_native.retail.v2alpha.GoogleCloudRetailV2alphaModelModelFeaturesConfigArgs(
        frequently_bought_together_config=google_native.retail.v2alpha.GoogleCloudRetailV2alphaModelFrequentlyBoughtTogetherFeaturesConfigArgs(
            context_products_type=google_native.retail.v2alpha.GoogleCloudRetailV2alphaModelFrequentlyBoughtTogetherFeaturesConfigContextProductsType.CONTEXT_PRODUCTS_TYPE_UNSPECIFIED,
        ),
    ),
    filtering_option=google_native.retail.v2alpha.ModelFilteringOption.RECOMMENDATIONS_FILTERING_OPTION_UNSPECIFIED,
    optimization_objective="string",
    page_optimization_config=google_native.retail.v2alpha.GoogleCloudRetailV2alphaModelPageOptimizationConfigArgs(
        page_optimization_event_type="string",
        panels=[google_native.retail.v2alpha.GoogleCloudRetailV2alphaModelPageOptimizationConfigPanelArgs(
            candidates=[google_native.retail.v2alpha.GoogleCloudRetailV2alphaModelPageOptimizationConfigCandidateArgs(
                serving_config_id="string",
            )],
            default_candidate=google_native.retail.v2alpha.GoogleCloudRetailV2alphaModelPageOptimizationConfigCandidateArgs(
                serving_config_id="string",
            ),
            display_name="string",
        )],
        restriction=google_native.retail.v2alpha.GoogleCloudRetailV2alphaModelPageOptimizationConfigRestriction.RESTRICTION_UNSPECIFIED,
    ),
    periodic_tuning_state=google_native.retail.v2alpha.ModelPeriodicTuningState.PERIODIC_TUNING_STATE_UNSPECIFIED,
    project="string",
    training_state=google_native.retail.v2alpha.ModelTrainingState.TRAINING_STATE_UNSPECIFIED,
    dry_run=False)

const examplemodelResourceResourceFromRetailv2alpha = new google_native.retail.v2alpha.Model("examplemodelResourceResourceFromRetailv2alpha", {
    catalogId: "string",
    displayName: "string",
    type: "string",
    name: "string",
    location: "string",
    modelFeaturesConfig: {
        frequentlyBoughtTogetherConfig: {
            contextProductsType: google_native.retail.v2alpha.GoogleCloudRetailV2alphaModelFrequentlyBoughtTogetherFeaturesConfigContextProductsType.ContextProductsTypeUnspecified,
        },
    },
    filteringOption: google_native.retail.v2alpha.ModelFilteringOption.RecommendationsFilteringOptionUnspecified,
    optimizationObjective: "string",
    pageOptimizationConfig: {
        pageOptimizationEventType: "string",
        panels: [{
            candidates: [{
                servingConfigId: "string",
            }],
            defaultCandidate: {
                servingConfigId: "string",
            },
            displayName: "string",
        }],
        restriction: google_native.retail.v2alpha.GoogleCloudRetailV2alphaModelPageOptimizationConfigRestriction.RestrictionUnspecified,
    },
    periodicTuningState: google_native.retail.v2alpha.ModelPeriodicTuningState.PeriodicTuningStateUnspecified,
    project: "string",
    trainingState: google_native.retail.v2alpha.ModelTrainingState.TrainingStateUnspecified,
    dryRun: false,
});

type: google-native:retail/v2alpha:Model
properties:
    catalogId: string
    displayName: string
    dryRun: false
    filteringOption: RECOMMENDATIONS_FILTERING_OPTION_UNSPECIFIED
    location: string
    modelFeaturesConfig:
        frequentlyBoughtTogetherConfig:
            contextProductsType: CONTEXT_PRODUCTS_TYPE_UNSPECIFIED
    name: string
    optimizationObjective: string
    pageOptimizationConfig:
        pageOptimizationEventType: string
        panels:
            - candidates:
                - servingConfigId: string
              defaultCandidate:
                servingConfigId: string
              displayName: string
        restriction: RESTRICTION_UNSPECIFIED
    periodicTuningState: PERIODIC_TUNING_STATE_UNSPECIFIED
    project: string
    trainingState: TRAINING_STATE_UNSPECIFIED
    type: string

Model Resource Properties

To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.

Inputs

The Model resource accepts the following input properties:

CatalogId string
DisplayName 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.
Type 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.
DryRun bool: Optional. Whether to run a dry run to validate the request (without actually creating the model).
FilteringOption Pulumi.GoogleNative.Retail.V2Alpha.ModelFilteringOption: Optional. If RECOMMENDATIONS_FILTERING_ENABLED, recommendation filtering by attributes is enabled for the model.
Location string
ModelFeaturesConfig Pulumi.GoogleNative.Retail.V2Alpha.Inputs.GoogleCloudRetailV2alphaModelModelFeaturesConfig: Optional. Additional model features config.
Name string: 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.
OptimizationObjective 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.
PageOptimizationConfig Pulumi.GoogleNative.Retail.V2Alpha.Inputs.GoogleCloudRetailV2alphaModelPageOptimizationConfig: Optional. The page optimization config.
PeriodicTuningState Pulumi.GoogleNative.Retail.V2Alpha.ModelPeriodicTuningState: 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.
Project string
TrainingState Pulumi.GoogleNative.Retail.V2Alpha.ModelTrainingState: 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.

CatalogId string
DisplayName 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.
Type 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.
DryRun bool: Optional. Whether to run a dry run to validate the request (without actually creating the model).
FilteringOption ModelFilteringOption: Optional. If RECOMMENDATIONS_FILTERING_ENABLED, recommendation filtering by attributes is enabled for the model.
Location string
ModelFeaturesConfig GoogleCloudRetailV2alphaModelModelFeaturesConfigArgs: Optional. Additional model features config.
Name string: 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.
OptimizationObjective 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.
PageOptimizationConfig GoogleCloudRetailV2alphaModelPageOptimizationConfigArgs: Optional. The page optimization config.
PeriodicTuningState ModelPeriodicTuningState: 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.
Project string
TrainingState ModelTrainingState: 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.

catalogId String
displayName 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.
type 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.
dryRun Boolean: Optional. Whether to run a dry run to validate the request (without actually creating the model).
filteringOption ModelFilteringOption: Optional. If RECOMMENDATIONS_FILTERING_ENABLED, recommendation filtering by attributes is enabled for the model.
location String
modelFeaturesConfig GoogleCloudRetailV2alphaModelModelFeaturesConfig: Optional. Additional model features config.
name String: 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.
optimizationObjective 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.
pageOptimizationConfig GoogleCloudRetailV2alphaModelPageOptimizationConfig: Optional. The page optimization config.
periodicTuningState ModelPeriodicTuningState: 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.
project String
trainingState ModelTrainingState: 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.

catalogId string
displayName 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.
type 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.
dryRun boolean: Optional. Whether to run a dry run to validate the request (without actually creating the model).
filteringOption ModelFilteringOption: Optional. If RECOMMENDATIONS_FILTERING_ENABLED, recommendation filtering by attributes is enabled for the model.
location string
modelFeaturesConfig GoogleCloudRetailV2alphaModelModelFeaturesConfig: Optional. Additional model features config.
name string: 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.
optimizationObjective 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.
pageOptimizationConfig GoogleCloudRetailV2alphaModelPageOptimizationConfig: Optional. The page optimization config.
periodicTuningState ModelPeriodicTuningState: 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.
project string
trainingState ModelTrainingState: 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.

catalog_id str
display_name str: 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.
type str: 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.
dry_run bool: Optional. Whether to run a dry run to validate the request (without actually creating the model).
filtering_option ModelFilteringOption: Optional. If RECOMMENDATIONS_FILTERING_ENABLED, recommendation filtering by attributes is enabled for the model.
location str
model_features_config GoogleCloudRetailV2alphaModelModelFeaturesConfigArgs: Optional. Additional model features config.
name str: 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.
optimization_objective str: 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.
page_optimization_config GoogleCloudRetailV2alphaModelPageOptimizationConfigArgs: Optional. The page optimization config.
periodic_tuning_state ModelPeriodicTuningState: 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.
project str
training_state ModelTrainingState: 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.

catalogId String
displayName 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.
type 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.
dryRun Boolean: Optional. Whether to run a dry run to validate the request (without actually creating the model).
filteringOption "RECOMMENDATIONS_FILTERING_OPTION_UNSPECIFIED" | "RECOMMENDATIONS_FILTERING_DISABLED" | "RECOMMENDATIONS_FILTERING_ENABLED": Optional. If RECOMMENDATIONS_FILTERING_ENABLED, recommendation filtering by attributes is enabled for the model.
location String
modelFeaturesConfig Property Map: Optional. Additional model features config.
name String: 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.
optimizationObjective 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.
pageOptimizationConfig Property Map: Optional. The page optimization config.
periodicTuningState "PERIODIC_TUNING_STATE_UNSPECIFIED" | "PERIODIC_TUNING_DISABLED" | "ALL_TUNING_DISABLED" | "PERIODIC_TUNING_ENABLED": 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.
project String
trainingState "TRAINING_STATE_UNSPECIFIED" | "PAUSED" | "TRAINING": 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.

Outputs

All input properties are implicitly available as output properties. Additionally, the Model resource produces the following output properties:

CreateTime string: Timestamp the Recommendation Model was created at.
DataState 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.
Id string: The provider-assigned unique ID for this managed resource.
LastTuneTime string: The timestamp when the latest successful tune finished.
ServingConfigLists List<Pulumi.GoogleNative.Retail.V2Alpha.Outputs.GoogleCloudRetailV2alphaModelServingConfigListResponse>: The list of valid serving configs associated with the PageOptimizationConfig.
ServingState string: The serving state of the model: ACTIVE, NOT_ACTIVE.
TuningOperation 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.
UpdateTime 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.

CreateTime string: Timestamp the Recommendation Model was created at.
DataState 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.
Id string: The provider-assigned unique ID for this managed resource.
LastTuneTime string: The timestamp when the latest successful tune finished.
ServingConfigLists []GoogleCloudRetailV2alphaModelServingConfigListResponse: The list of valid serving configs associated with the PageOptimizationConfig.
ServingState string: The serving state of the model: ACTIVE, NOT_ACTIVE.
TuningOperation 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.
UpdateTime 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.

createTime String: Timestamp the Recommendation Model was created at.
dataState 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.
id String: The provider-assigned unique ID for this managed resource.
lastTuneTime String: The timestamp when the latest successful tune finished.
servingConfigLists List<GoogleCloudRetailV2alphaModelServingConfigListResponse>: The list of valid serving configs associated with the PageOptimizationConfig.
servingState String: The serving state of the model: ACTIVE, NOT_ACTIVE.
tuningOperation 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.
updateTime 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.

createTime string: Timestamp the Recommendation Model was created at.
dataState 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.
id string: The provider-assigned unique ID for this managed resource.
lastTuneTime string: The timestamp when the latest successful tune finished.
servingConfigLists GoogleCloudRetailV2alphaModelServingConfigListResponse[]: The list of valid serving configs associated with the PageOptimizationConfig.
servingState string: The serving state of the model: ACTIVE, NOT_ACTIVE.
tuningOperation 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.
updateTime 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.

create_time str: Timestamp the Recommendation Model was created at.
data_state str: 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.
id str: The provider-assigned unique ID for this managed resource.
last_tune_time str: The timestamp when the latest successful tune finished.
serving_config_lists Sequence[GoogleCloudRetailV2alphaModelServingConfigListResponse]: The list of valid serving configs associated with the PageOptimizationConfig.
serving_state str: The serving state of the model: ACTIVE, NOT_ACTIVE.
tuning_operation str: 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.
update_time str: Timestamp the Recommendation Model was last updated. E.g. if a Recommendation Model was paused - this would be the time the pause was initiated.

createTime String: Timestamp the Recommendation Model was created at.
dataState 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.
id String: The provider-assigned unique ID for this managed resource.
lastTuneTime String: The timestamp when the latest successful tune finished.
servingConfigLists List<Property Map>: The list of valid serving configs associated with the PageOptimizationConfig.
servingState String: The serving state of the model: ACTIVE, NOT_ACTIVE.
tuningOperation 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.
updateTime 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.

Supporting Types

GoogleCloudRetailV2alphaModelFrequentlyBoughtTogetherFeaturesConfig, GoogleCloudRetailV2alphaModelFrequentlyBoughtTogetherFeaturesConfigArgs

ContextProductsType Pulumi.GoogleNative.Retail.V2Alpha.GoogleCloudRetailV2alphaModelFrequentlyBoughtTogetherFeaturesConfigContextProductsType: Optional. Specifies the context of the model when it is used in predict requests. Can only be set for the frequently-bought-together type. If it isn't specified, it defaults to MULTIPLE_CONTEXT_PRODUCTS.

ContextProductsType GoogleCloudRetailV2alphaModelFrequentlyBoughtTogetherFeaturesConfigContextProductsType: Optional. Specifies the context of the model when it is used in predict requests. Can only be set for the frequently-bought-together type. If it isn't specified, it defaults to MULTIPLE_CONTEXT_PRODUCTS.

contextProductsType GoogleCloudRetailV2alphaModelFrequentlyBoughtTogetherFeaturesConfigContextProductsType: Optional. Specifies the context of the model when it is used in predict requests. Can only be set for the frequently-bought-together type. If it isn't specified, it defaults to MULTIPLE_CONTEXT_PRODUCTS.

contextProductsType GoogleCloudRetailV2alphaModelFrequentlyBoughtTogetherFeaturesConfigContextProductsType: Optional. Specifies the context of the model when it is used in predict requests. Can only be set for the frequently-bought-together type. If it isn't specified, it defaults to MULTIPLE_CONTEXT_PRODUCTS.

context_products_type GoogleCloudRetailV2alphaModelFrequentlyBoughtTogetherFeaturesConfigContextProductsType: Optional. Specifies the context of the model when it is used in predict requests. Can only be set for the frequently-bought-together type. If it isn't specified, it defaults to MULTIPLE_CONTEXT_PRODUCTS.

contextProductsType "CONTEXT_PRODUCTS_TYPE_UNSPECIFIED" | "SINGLE_CONTEXT_PRODUCT" | "MULTIPLE_CONTEXT_PRODUCTS": Optional. Specifies the context of the model when it is used in predict requests. Can only be set for the frequently-bought-together type. If it isn't specified, it defaults to MULTIPLE_CONTEXT_PRODUCTS.

GoogleCloudRetailV2alphaModelFrequentlyBoughtTogetherFeaturesConfigContextProductsType, GoogleCloudRetailV2alphaModelFrequentlyBoughtTogetherFeaturesConfigContextProductsTypeArgs

ContextProductsTypeUnspecified: CONTEXT_PRODUCTS_TYPE_UNSPECIFIEDUnspecified default value, should never be explicitly set. Defaults to MULTIPLE_CONTEXT_PRODUCTS.
SingleContextProduct: SINGLE_CONTEXT_PRODUCTUse only a single product as context for the recommendation. Typically used on pages like add-to-cart or product details.
MultipleContextProducts: MULTIPLE_CONTEXT_PRODUCTSUse one or multiple products as context for the recommendation. Typically used on shopping cart pages.

GoogleCloudRetailV2alphaModelFrequentlyBoughtTogetherFeaturesConfigContextProductsTypeContextProductsTypeUnspecified: CONTEXT_PRODUCTS_TYPE_UNSPECIFIEDUnspecified default value, should never be explicitly set. Defaults to MULTIPLE_CONTEXT_PRODUCTS.
GoogleCloudRetailV2alphaModelFrequentlyBoughtTogetherFeaturesConfigContextProductsTypeSingleContextProduct: SINGLE_CONTEXT_PRODUCTUse only a single product as context for the recommendation. Typically used on pages like add-to-cart or product details.
GoogleCloudRetailV2alphaModelFrequentlyBoughtTogetherFeaturesConfigContextProductsTypeMultipleContextProducts: MULTIPLE_CONTEXT_PRODUCTSUse one or multiple products as context for the recommendation. Typically used on shopping cart pages.

ContextProductsTypeUnspecified: CONTEXT_PRODUCTS_TYPE_UNSPECIFIEDUnspecified default value, should never be explicitly set. Defaults to MULTIPLE_CONTEXT_PRODUCTS.
SingleContextProduct: SINGLE_CONTEXT_PRODUCTUse only a single product as context for the recommendation. Typically used on pages like add-to-cart or product details.
MultipleContextProducts: MULTIPLE_CONTEXT_PRODUCTSUse one or multiple products as context for the recommendation. Typically used on shopping cart pages.

ContextProductsTypeUnspecified: CONTEXT_PRODUCTS_TYPE_UNSPECIFIEDUnspecified default value, should never be explicitly set. Defaults to MULTIPLE_CONTEXT_PRODUCTS.
SingleContextProduct: SINGLE_CONTEXT_PRODUCTUse only a single product as context for the recommendation. Typically used on pages like add-to-cart or product details.
MultipleContextProducts: MULTIPLE_CONTEXT_PRODUCTSUse one or multiple products as context for the recommendation. Typically used on shopping cart pages.

CONTEXT_PRODUCTS_TYPE_UNSPECIFIED: CONTEXT_PRODUCTS_TYPE_UNSPECIFIEDUnspecified default value, should never be explicitly set. Defaults to MULTIPLE_CONTEXT_PRODUCTS.
SINGLE_CONTEXT_PRODUCT: SINGLE_CONTEXT_PRODUCTUse only a single product as context for the recommendation. Typically used on pages like add-to-cart or product details.
MULTIPLE_CONTEXT_PRODUCTS: MULTIPLE_CONTEXT_PRODUCTSUse one or multiple products as context for the recommendation. Typically used on shopping cart pages.

"CONTEXT_PRODUCTS_TYPE_UNSPECIFIED": CONTEXT_PRODUCTS_TYPE_UNSPECIFIEDUnspecified default value, should never be explicitly set. Defaults to MULTIPLE_CONTEXT_PRODUCTS.
"SINGLE_CONTEXT_PRODUCT": SINGLE_CONTEXT_PRODUCTUse only a single product as context for the recommendation. Typically used on pages like add-to-cart or product details.
"MULTIPLE_CONTEXT_PRODUCTS": MULTIPLE_CONTEXT_PRODUCTSUse one or multiple products as context for the recommendation. Typically used on shopping cart pages.

GoogleCloudRetailV2alphaModelFrequentlyBoughtTogetherFeaturesConfigResponse, GoogleCloudRetailV2alphaModelFrequentlyBoughtTogetherFeaturesConfigResponseArgs

ContextProductsType string: Optional. Specifies the context of the model when it is used in predict requests. Can only be set for the frequently-bought-together type. If it isn't specified, it defaults to MULTIPLE_CONTEXT_PRODUCTS.

ContextProductsType string: Optional. Specifies the context of the model when it is used in predict requests. Can only be set for the frequently-bought-together type. If it isn't specified, it defaults to MULTIPLE_CONTEXT_PRODUCTS.

contextProductsType String: Optional. Specifies the context of the model when it is used in predict requests. Can only be set for the frequently-bought-together type. If it isn't specified, it defaults to MULTIPLE_CONTEXT_PRODUCTS.

contextProductsType string: Optional. Specifies the context of the model when it is used in predict requests. Can only be set for the frequently-bought-together type. If it isn't specified, it defaults to MULTIPLE_CONTEXT_PRODUCTS.

context_products_type str: Optional. Specifies the context of the model when it is used in predict requests. Can only be set for the frequently-bought-together type. If it isn't specified, it defaults to MULTIPLE_CONTEXT_PRODUCTS.

contextProductsType String: Optional. Specifies the context of the model when it is used in predict requests. Can only be set for the frequently-bought-together type. If it isn't specified, it defaults to MULTIPLE_CONTEXT_PRODUCTS.

GoogleCloudRetailV2alphaModelModelFeaturesConfig, GoogleCloudRetailV2alphaModelModelFeaturesConfigArgs

FrequentlyBoughtTogetherConfig Pulumi.GoogleNative.Retail.V2Alpha.Inputs.GoogleCloudRetailV2alphaModelFrequentlyBoughtTogetherFeaturesConfig: Additional configs for frequently-bought-together models.

FrequentlyBoughtTogetherConfig GoogleCloudRetailV2alphaModelFrequentlyBoughtTogetherFeaturesConfig: Additional configs for frequently-bought-together models.

frequentlyBoughtTogetherConfig GoogleCloudRetailV2alphaModelFrequentlyBoughtTogetherFeaturesConfig: Additional configs for frequently-bought-together models.

frequentlyBoughtTogetherConfig GoogleCloudRetailV2alphaModelFrequentlyBoughtTogetherFeaturesConfig: Additional configs for frequently-bought-together models.

frequently_bought_together_config GoogleCloudRetailV2alphaModelFrequentlyBoughtTogetherFeaturesConfig: Additional configs for frequently-bought-together models.

frequentlyBoughtTogetherConfig Property Map: Additional configs for frequently-bought-together models.

GoogleCloudRetailV2alphaModelModelFeaturesConfigResponse, GoogleCloudRetailV2alphaModelModelFeaturesConfigResponseArgs

FrequentlyBoughtTogetherConfig Pulumi.GoogleNative.Retail.V2Alpha.Inputs.GoogleCloudRetailV2alphaModelFrequentlyBoughtTogetherFeaturesConfigResponse: Additional configs for frequently-bought-together models.

FrequentlyBoughtTogetherConfig GoogleCloudRetailV2alphaModelFrequentlyBoughtTogetherFeaturesConfigResponse: Additional configs for frequently-bought-together models.

frequentlyBoughtTogetherConfig GoogleCloudRetailV2alphaModelFrequentlyBoughtTogetherFeaturesConfigResponse: Additional configs for frequently-bought-together models.

frequentlyBoughtTogetherConfig GoogleCloudRetailV2alphaModelFrequentlyBoughtTogetherFeaturesConfigResponse: Additional configs for frequently-bought-together models.

frequently_bought_together_config GoogleCloudRetailV2alphaModelFrequentlyBoughtTogetherFeaturesConfigResponse: Additional configs for frequently-bought-together models.

frequentlyBoughtTogetherConfig Property Map: Additional configs for frequently-bought-together models.

GoogleCloudRetailV2alphaModelPageOptimizationConfig, GoogleCloudRetailV2alphaModelPageOptimizationConfigArgs

PageOptimizationEventType string: The type of UserEvent this page optimization is shown for. Each page has an associated event type - this will be the corresponding event type for the page that the page optimization model is used on. Supported types: * add-to-cart: Products being added to cart. * detail-page-view: Products detail page viewed. * home-page-view: Homepage viewed * category-page-view: Homepage viewed * shopping-cart-page-view: User viewing a shopping cart. home-page-view only allows models with type recommended-for-you. All other page_optimization_event_type allow all Model.types.
Panels List<Pulumi.GoogleNative.Retail.V2Alpha.Inputs.GoogleCloudRetailV2alphaModelPageOptimizationConfigPanel>: A list of panel configurations. Limit = 5.
Restriction Pulumi.GoogleNative.Retail.V2Alpha.GoogleCloudRetailV2alphaModelPageOptimizationConfigRestriction: Optional. How to restrict results across panels e.g. can the same ServingConfig be shown on multiple panels at once. If unspecified, default to UNIQUE_MODEL_RESTRICTION.

PageOptimizationEventType string: The type of UserEvent this page optimization is shown for. Each page has an associated event type - this will be the corresponding event type for the page that the page optimization model is used on. Supported types: * add-to-cart: Products being added to cart. * detail-page-view: Products detail page viewed. * home-page-view: Homepage viewed * category-page-view: Homepage viewed * shopping-cart-page-view: User viewing a shopping cart. home-page-view only allows models with type recommended-for-you. All other page_optimization_event_type allow all Model.types.
Panels []GoogleCloudRetailV2alphaModelPageOptimizationConfigPanel: A list of panel configurations. Limit = 5.
Restriction GoogleCloudRetailV2alphaModelPageOptimizationConfigRestriction: Optional. How to restrict results across panels e.g. can the same ServingConfig be shown on multiple panels at once. If unspecified, default to UNIQUE_MODEL_RESTRICTION.

pageOptimizationEventType String: The type of UserEvent this page optimization is shown for. Each page has an associated event type - this will be the corresponding event type for the page that the page optimization model is used on. Supported types: * add-to-cart: Products being added to cart. * detail-page-view: Products detail page viewed. * home-page-view: Homepage viewed * category-page-view: Homepage viewed * shopping-cart-page-view: User viewing a shopping cart. home-page-view only allows models with type recommended-for-you. All other page_optimization_event_type allow all Model.types.
panels List<GoogleCloudRetailV2alphaModelPageOptimizationConfigPanel>: A list of panel configurations. Limit = 5.
restriction GoogleCloudRetailV2alphaModelPageOptimizationConfigRestriction: Optional. How to restrict results across panels e.g. can the same ServingConfig be shown on multiple panels at once. If unspecified, default to UNIQUE_MODEL_RESTRICTION.

pageOptimizationEventType string: The type of UserEvent this page optimization is shown for. Each page has an associated event type - this will be the corresponding event type for the page that the page optimization model is used on. Supported types: * add-to-cart: Products being added to cart. * detail-page-view: Products detail page viewed. * home-page-view: Homepage viewed * category-page-view: Homepage viewed * shopping-cart-page-view: User viewing a shopping cart. home-page-view only allows models with type recommended-for-you. All other page_optimization_event_type allow all Model.types.
panels GoogleCloudRetailV2alphaModelPageOptimizationConfigPanel[]: A list of panel configurations. Limit = 5.
restriction GoogleCloudRetailV2alphaModelPageOptimizationConfigRestriction: Optional. How to restrict results across panels e.g. can the same ServingConfig be shown on multiple panels at once. If unspecified, default to UNIQUE_MODEL_RESTRICTION.

page_optimization_event_type str: The type of UserEvent this page optimization is shown for. Each page has an associated event type - this will be the corresponding event type for the page that the page optimization model is used on. Supported types: * add-to-cart: Products being added to cart. * detail-page-view: Products detail page viewed. * home-page-view: Homepage viewed * category-page-view: Homepage viewed * shopping-cart-page-view: User viewing a shopping cart. home-page-view only allows models with type recommended-for-you. All other page_optimization_event_type allow all Model.types.
panels Sequence[GoogleCloudRetailV2alphaModelPageOptimizationConfigPanel]: A list of panel configurations. Limit = 5.
restriction GoogleCloudRetailV2alphaModelPageOptimizationConfigRestriction: Optional. How to restrict results across panels e.g. can the same ServingConfig be shown on multiple panels at once. If unspecified, default to UNIQUE_MODEL_RESTRICTION.

pageOptimizationEventType String: The type of UserEvent this page optimization is shown for. Each page has an associated event type - this will be the corresponding event type for the page that the page optimization model is used on. Supported types: * add-to-cart: Products being added to cart. * detail-page-view: Products detail page viewed. * home-page-view: Homepage viewed * category-page-view: Homepage viewed * shopping-cart-page-view: User viewing a shopping cart. home-page-view only allows models with type recommended-for-you. All other page_optimization_event_type allow all Model.types.
panels List<Property Map>: A list of panel configurations. Limit = 5.
restriction "RESTRICTION_UNSPECIFIED" | "NO_RESTRICTION" | "UNIQUE_SERVING_CONFIG_RESTRICTION" | "UNIQUE_MODEL_RESTRICTION" | "UNIQUE_MODEL_TYPE_RESTRICTION": Optional. How to restrict results across panels e.g. can the same ServingConfig be shown on multiple panels at once. If unspecified, default to UNIQUE_MODEL_RESTRICTION.

GoogleCloudRetailV2alphaModelPageOptimizationConfigCandidate, GoogleCloudRetailV2alphaModelPageOptimizationConfigCandidateArgs

ServingConfigId string: This has to be a valid ServingConfig identifier. For example, for a ServingConfig with full name: projects/*/locations/global/catalogs/default_catalog/servingConfigs/my_candidate_config, this would be my_candidate_config.

ServingConfigId string: This has to be a valid ServingConfig identifier. For example, for a ServingConfig with full name: projects/*/locations/global/catalogs/default_catalog/servingConfigs/my_candidate_config, this would be my_candidate_config.

servingConfigId String: This has to be a valid ServingConfig identifier. For example, for a ServingConfig with full name: projects/*/locations/global/catalogs/default_catalog/servingConfigs/my_candidate_config, this would be my_candidate_config.

servingConfigId string: This has to be a valid ServingConfig identifier. For example, for a ServingConfig with full name: projects/*/locations/global/catalogs/default_catalog/servingConfigs/my_candidate_config, this would be my_candidate_config.

serving_config_id str: This has to be a valid ServingConfig identifier. For example, for a ServingConfig with full name: projects/*/locations/global/catalogs/default_catalog/servingConfigs/my_candidate_config, this would be my_candidate_config.

servingConfigId String: This has to be a valid ServingConfig identifier. For example, for a ServingConfig with full name: projects/*/locations/global/catalogs/default_catalog/servingConfigs/my_candidate_config, this would be my_candidate_config.

GoogleCloudRetailV2alphaModelPageOptimizationConfigCandidateResponse, GoogleCloudRetailV2alphaModelPageOptimizationConfigCandidateResponseArgs

ServingConfigId string: This has to be a valid ServingConfig identifier. For example, for a ServingConfig with full name: projects/*/locations/global/catalogs/default_catalog/servingConfigs/my_candidate_config, this would be my_candidate_config.

ServingConfigId string: This has to be a valid ServingConfig identifier. For example, for a ServingConfig with full name: projects/*/locations/global/catalogs/default_catalog/servingConfigs/my_candidate_config, this would be my_candidate_config.

servingConfigId String: This has to be a valid ServingConfig identifier. For example, for a ServingConfig with full name: projects/*/locations/global/catalogs/default_catalog/servingConfigs/my_candidate_config, this would be my_candidate_config.

servingConfigId string: This has to be a valid ServingConfig identifier. For example, for a ServingConfig with full name: projects/*/locations/global/catalogs/default_catalog/servingConfigs/my_candidate_config, this would be my_candidate_config.

serving_config_id str: This has to be a valid ServingConfig identifier. For example, for a ServingConfig with full name: projects/*/locations/global/catalogs/default_catalog/servingConfigs/my_candidate_config, this would be my_candidate_config.

servingConfigId String: This has to be a valid ServingConfig identifier. For example, for a ServingConfig with full name: projects/*/locations/global/catalogs/default_catalog/servingConfigs/my_candidate_config, this would be my_candidate_config.

GoogleCloudRetailV2alphaModelPageOptimizationConfigPanel, GoogleCloudRetailV2alphaModelPageOptimizationConfigPanelArgs

Candidates List<Pulumi.GoogleNative.Retail.V2Alpha.Inputs.GoogleCloudRetailV2alphaModelPageOptimizationConfigCandidate>: The candidates to consider on the panel.
DefaultCandidate Pulumi.GoogleNative.Retail.V2Alpha.Inputs.GoogleCloudRetailV2alphaModelPageOptimizationConfigCandidate: The default candidate. If the model fails at serving time, we fall back to the default.
DisplayName string: Optional. The name to display for the panel.

Candidates []GoogleCloudRetailV2alphaModelPageOptimizationConfigCandidate: The candidates to consider on the panel.
DefaultCandidate GoogleCloudRetailV2alphaModelPageOptimizationConfigCandidate: The default candidate. If the model fails at serving time, we fall back to the default.
DisplayName string: Optional. The name to display for the panel.

candidates List<GoogleCloudRetailV2alphaModelPageOptimizationConfigCandidate>: The candidates to consider on the panel.
defaultCandidate GoogleCloudRetailV2alphaModelPageOptimizationConfigCandidate: The default candidate. If the model fails at serving time, we fall back to the default.
displayName String: Optional. The name to display for the panel.

candidates GoogleCloudRetailV2alphaModelPageOptimizationConfigCandidate[]: The candidates to consider on the panel.
defaultCandidate GoogleCloudRetailV2alphaModelPageOptimizationConfigCandidate: The default candidate. If the model fails at serving time, we fall back to the default.
displayName string: Optional. The name to display for the panel.

candidates Sequence[GoogleCloudRetailV2alphaModelPageOptimizationConfigCandidate]: The candidates to consider on the panel.
default_candidate GoogleCloudRetailV2alphaModelPageOptimizationConfigCandidate: The default candidate. If the model fails at serving time, we fall back to the default.
display_name str: Optional. The name to display for the panel.

candidates List<Property Map>: The candidates to consider on the panel.
defaultCandidate Property Map: The default candidate. If the model fails at serving time, we fall back to the default.
displayName String: Optional. The name to display for the panel.

GoogleCloudRetailV2alphaModelPageOptimizationConfigPanelResponse, GoogleCloudRetailV2alphaModelPageOptimizationConfigPanelResponseArgs

Candidates List<Pulumi.GoogleNative.Retail.V2Alpha.Inputs.GoogleCloudRetailV2alphaModelPageOptimizationConfigCandidateResponse>: The candidates to consider on the panel.
DefaultCandidate Pulumi.GoogleNative.Retail.V2Alpha.Inputs.GoogleCloudRetailV2alphaModelPageOptimizationConfigCandidateResponse: The default candidate. If the model fails at serving time, we fall back to the default.
DisplayName string: Optional. The name to display for the panel.

Candidates []GoogleCloudRetailV2alphaModelPageOptimizationConfigCandidateResponse: The candidates to consider on the panel.
DefaultCandidate GoogleCloudRetailV2alphaModelPageOptimizationConfigCandidateResponse: The default candidate. If the model fails at serving time, we fall back to the default.
DisplayName string: Optional. The name to display for the panel.

candidates List<GoogleCloudRetailV2alphaModelPageOptimizationConfigCandidateResponse>: The candidates to consider on the panel.
defaultCandidate GoogleCloudRetailV2alphaModelPageOptimizationConfigCandidateResponse: The default candidate. If the model fails at serving time, we fall back to the default.
displayName String: Optional. The name to display for the panel.

candidates GoogleCloudRetailV2alphaModelPageOptimizationConfigCandidateResponse[]: The candidates to consider on the panel.
defaultCandidate GoogleCloudRetailV2alphaModelPageOptimizationConfigCandidateResponse: The default candidate. If the model fails at serving time, we fall back to the default.
displayName string: Optional. The name to display for the panel.

candidates Sequence[GoogleCloudRetailV2alphaModelPageOptimizationConfigCandidateResponse]: The candidates to consider on the panel.
default_candidate GoogleCloudRetailV2alphaModelPageOptimizationConfigCandidateResponse: The default candidate. If the model fails at serving time, we fall back to the default.
display_name str: Optional. The name to display for the panel.

candidates List<Property Map>: The candidates to consider on the panel.
defaultCandidate Property Map: The default candidate. If the model fails at serving time, we fall back to the default.
displayName String: Optional. The name to display for the panel.

GoogleCloudRetailV2alphaModelPageOptimizationConfigResponse, GoogleCloudRetailV2alphaModelPageOptimizationConfigResponseArgs

PageOptimizationEventType string: The type of UserEvent this page optimization is shown for. Each page has an associated event type - this will be the corresponding event type for the page that the page optimization model is used on. Supported types: * add-to-cart: Products being added to cart. * detail-page-view: Products detail page viewed. * home-page-view: Homepage viewed * category-page-view: Homepage viewed * shopping-cart-page-view: User viewing a shopping cart. home-page-view only allows models with type recommended-for-you. All other page_optimization_event_type allow all Model.types.
Panels List<Pulumi.GoogleNative.Retail.V2Alpha.Inputs.GoogleCloudRetailV2alphaModelPageOptimizationConfigPanelResponse>: A list of panel configurations. Limit = 5.
Restriction string: Optional. How to restrict results across panels e.g. can the same ServingConfig be shown on multiple panels at once. If unspecified, default to UNIQUE_MODEL_RESTRICTION.

PageOptimizationEventType string: The type of UserEvent this page optimization is shown for. Each page has an associated event type - this will be the corresponding event type for the page that the page optimization model is used on. Supported types: * add-to-cart: Products being added to cart. * detail-page-view: Products detail page viewed. * home-page-view: Homepage viewed * category-page-view: Homepage viewed * shopping-cart-page-view: User viewing a shopping cart. home-page-view only allows models with type recommended-for-you. All other page_optimization_event_type allow all Model.types.
Panels []GoogleCloudRetailV2alphaModelPageOptimizationConfigPanelResponse: A list of panel configurations. Limit = 5.
Restriction string: Optional. How to restrict results across panels e.g. can the same ServingConfig be shown on multiple panels at once. If unspecified, default to UNIQUE_MODEL_RESTRICTION.

pageOptimizationEventType String: The type of UserEvent this page optimization is shown for. Each page has an associated event type - this will be the corresponding event type for the page that the page optimization model is used on. Supported types: * add-to-cart: Products being added to cart. * detail-page-view: Products detail page viewed. * home-page-view: Homepage viewed * category-page-view: Homepage viewed * shopping-cart-page-view: User viewing a shopping cart. home-page-view only allows models with type recommended-for-you. All other page_optimization_event_type allow all Model.types.
panels List<GoogleCloudRetailV2alphaModelPageOptimizationConfigPanelResponse>: A list of panel configurations. Limit = 5.
restriction String: Optional. How to restrict results across panels e.g. can the same ServingConfig be shown on multiple panels at once. If unspecified, default to UNIQUE_MODEL_RESTRICTION.

pageOptimizationEventType string: The type of UserEvent this page optimization is shown for. Each page has an associated event type - this will be the corresponding event type for the page that the page optimization model is used on. Supported types: * add-to-cart: Products being added to cart. * detail-page-view: Products detail page viewed. * home-page-view: Homepage viewed * category-page-view: Homepage viewed * shopping-cart-page-view: User viewing a shopping cart. home-page-view only allows models with type recommended-for-you. All other page_optimization_event_type allow all Model.types.
panels GoogleCloudRetailV2alphaModelPageOptimizationConfigPanelResponse[]: A list of panel configurations. Limit = 5.
restriction string: Optional. How to restrict results across panels e.g. can the same ServingConfig be shown on multiple panels at once. If unspecified, default to UNIQUE_MODEL_RESTRICTION.

page_optimization_event_type str: The type of UserEvent this page optimization is shown for. Each page has an associated event type - this will be the corresponding event type for the page that the page optimization model is used on. Supported types: * add-to-cart: Products being added to cart. * detail-page-view: Products detail page viewed. * home-page-view: Homepage viewed * category-page-view: Homepage viewed * shopping-cart-page-view: User viewing a shopping cart. home-page-view only allows models with type recommended-for-you. All other page_optimization_event_type allow all Model.types.
panels Sequence[GoogleCloudRetailV2alphaModelPageOptimizationConfigPanelResponse]: A list of panel configurations. Limit = 5.
restriction str: Optional. How to restrict results across panels e.g. can the same ServingConfig be shown on multiple panels at once. If unspecified, default to UNIQUE_MODEL_RESTRICTION.

pageOptimizationEventType String: The type of UserEvent this page optimization is shown for. Each page has an associated event type - this will be the corresponding event type for the page that the page optimization model is used on. Supported types: * add-to-cart: Products being added to cart. * detail-page-view: Products detail page viewed. * home-page-view: Homepage viewed * category-page-view: Homepage viewed * shopping-cart-page-view: User viewing a shopping cart. home-page-view only allows models with type recommended-for-you. All other page_optimization_event_type allow all Model.types.
panels List<Property Map>: A list of panel configurations. Limit = 5.
restriction String: Optional. How to restrict results across panels e.g. can the same ServingConfig be shown on multiple panels at once. If unspecified, default to UNIQUE_MODEL_RESTRICTION.

GoogleCloudRetailV2alphaModelPageOptimizationConfigRestriction, GoogleCloudRetailV2alphaModelPageOptimizationConfigRestrictionArgs

RestrictionUnspecified: RESTRICTION_UNSPECIFIEDUnspecified value for restriction.
NoRestriction: NO_RESTRICTIONAllow any ServingConfig to be show on any number of panels. Example: Panel1 candidates: pdp_ctr, pdp_cvr, home_page_ctr_no_diversity Panel2 candidates: home_page_ctr_no_diversity, home_page_ctr_diversity, pdp_cvr_no_diversity Restriction = NO_RESTRICTION Valid combinations: * * (pdp_ctr, home_page_ctr_no_diversity) * (pdp_ctr, home_page_ctr_diversity) * (pdp_ctr, pdp_cvr_no_diversity) * (pdp_cvr, home_page_ctr_no_diversity) * (pdp_cvr, home_page_ctr_diversity) * (pdp_cvr, pdp_cvr_no_diversity) * (home_page_ctr_no_diversity, home_page_ctr_no_diversity) * (home_page_ctr_no_diversity, home_page_ctr_diversity) * (home_page_ctr_no_diversity, pdp_cvr_no_diversity) * Invalid combinations: []
UniqueServingConfigRestriction: UNIQUE_SERVING_CONFIG_RESTRICTIONDo not allow the same ServingConfig.name to be shown on multiple panels. Example: Panel1 candidates: * pdp_ctr, pdp_cvr, home_page_ctr_no_diversity * Panel2 candidates: * home_page_ctr_no_diversity, home_page_ctr_diversity_low, pdp_cvr_no_diversity * Restriction = UNIQUE_SERVING_CONFIG_RESTRICTION Valid combinations: * * (pdp_ctr, home_page_ctr_no_diversity) * (pdp_ctr, home_page_ctr_diversity_low) * (pdp_ctr, pdp_cvr_no_diversity) * (pdp_ctr, pdp_cvr_no_diversity) * (pdp_cvr, home_page_ctr_no_diversity) * (pdp_cvr, home_page_ctr_diversity_low) * (pdp_cvr, pdp_cvr_no_diversity) * (home_page_ctr_no_diversity, home_page_ctr_diversity_low) * (home_page_ctr_no_diversity, pdp_cvr_no_diversity) * Invalid combinations: * * (home_page_ctr_no_diversity, home_page_ctr_no_diversity) *
UniqueModelRestriction: UNIQUE_MODEL_RESTRICTIONDo not allow multiple ServingConfigs with same Model.name to be show on on different panels. Example: Panel1 candidates: * pdp_ctr, pdp_cvr, home_page_ctr_no_diversity * Panel2 candidates: * home_page_ctr_no_diversity, home_page_ctr_diversity_low, pdp_cvr_no_diversity * Restriction = UNIQUE_MODEL_RESTRICTION Valid combinations: * * (pdp_ctr, home_page_ctr_no_diversity) * (pdp_ctr, home_page_ctr_diversity) * (pdp_ctr, pdp_cvr_no_diversity) * (pdp_ctr, pdp_cvr_no_diversity) * (pdp_cvr, home_page_ctr_no_diversity) * (pdp_cvr, home_page_ctr_diversity_low) * (home_page_ctr_no_diversity, pdp_cvr_no_diversity) * Invalid combinations: * * (home_page_ctr_no_diversity, home_page_ctr_no_diversity) * (pdp_cvr, pdp_cvr_no_diversity) *
UniqueModelTypeRestriction: UNIQUE_MODEL_TYPE_RESTRICTIONDo not allow multiple ServingConfigs with same Model.type to be shown on different panels. Example: Panel1 candidates: * pdp_ctr, pdp_cvr, home_page_ctr_no_diversity * Panel2 candidates: * home_page_ctr_no_diversity, home_page_ctr_diversity_low, pdp_cvr_no_diversity * Restriction = UNIQUE_MODEL_RESTRICTION Valid combinations: * * (pdp_ctr, home_page_ctr_no_diversity) * (pdp_ctr, home_page_ctr_diversity) * (pdp_cvr, home_page_ctr_no_diversity) * (pdp_cvr, home_page_ctr_diversity_low) * (home_page_ctr_no_diversity, pdp_cvr_no_diversity) * Invalid combinations: * * (pdp_ctr, pdp_cvr_no_diversity) * (pdp_ctr, pdp_cvr_no_diversity) * (pdp_cvr, pdp_cvr_no_diversity) * (home_page_ctr_no_diversity, home_page_ctr_no_diversity) * (home_page_ctr_no_diversity, home_page_ctr_diversity) *

GoogleCloudRetailV2alphaModelPageOptimizationConfigRestrictionRestrictionUnspecified: RESTRICTION_UNSPECIFIEDUnspecified value for restriction.
GoogleCloudRetailV2alphaModelPageOptimizationConfigRestrictionNoRestriction: NO_RESTRICTIONAllow any ServingConfig to be show on any number of panels. Example: Panel1 candidates: pdp_ctr, pdp_cvr, home_page_ctr_no_diversity Panel2 candidates: home_page_ctr_no_diversity, home_page_ctr_diversity, pdp_cvr_no_diversity Restriction = NO_RESTRICTION Valid combinations: * * (pdp_ctr, home_page_ctr_no_diversity) * (pdp_ctr, home_page_ctr_diversity) * (pdp_ctr, pdp_cvr_no_diversity) * (pdp_cvr, home_page_ctr_no_diversity) * (pdp_cvr, home_page_ctr_diversity) * (pdp_cvr, pdp_cvr_no_diversity) * (home_page_ctr_no_diversity, home_page_ctr_no_diversity) * (home_page_ctr_no_diversity, home_page_ctr_diversity) * (home_page_ctr_no_diversity, pdp_cvr_no_diversity) * Invalid combinations: []
GoogleCloudRetailV2alphaModelPageOptimizationConfigRestrictionUniqueServingConfigRestriction: UNIQUE_SERVING_CONFIG_RESTRICTIONDo not allow the same ServingConfig.name to be shown on multiple panels. Example: Panel1 candidates: * pdp_ctr, pdp_cvr, home_page_ctr_no_diversity * Panel2 candidates: * home_page_ctr_no_diversity, home_page_ctr_diversity_low, pdp_cvr_no_diversity * Restriction = UNIQUE_SERVING_CONFIG_RESTRICTION Valid combinations: * * (pdp_ctr, home_page_ctr_no_diversity) * (pdp_ctr, home_page_ctr_diversity_low) * (pdp_ctr, pdp_cvr_no_diversity) * (pdp_ctr, pdp_cvr_no_diversity) * (pdp_cvr, home_page_ctr_no_diversity) * (pdp_cvr, home_page_ctr_diversity_low) * (pdp_cvr, pdp_cvr_no_diversity) * (home_page_ctr_no_diversity, home_page_ctr_diversity_low) * (home_page_ctr_no_diversity, pdp_cvr_no_diversity) * Invalid combinations: * * (home_page_ctr_no_diversity, home_page_ctr_no_diversity) *
GoogleCloudRetailV2alphaModelPageOptimizationConfigRestrictionUniqueModelRestriction: UNIQUE_MODEL_RESTRICTIONDo not allow multiple ServingConfigs with same Model.name to be show on on different panels. Example: Panel1 candidates: * pdp_ctr, pdp_cvr, home_page_ctr_no_diversity * Panel2 candidates: * home_page_ctr_no_diversity, home_page_ctr_diversity_low, pdp_cvr_no_diversity * Restriction = UNIQUE_MODEL_RESTRICTION Valid combinations: * * (pdp_ctr, home_page_ctr_no_diversity) * (pdp_ctr, home_page_ctr_diversity) * (pdp_ctr, pdp_cvr_no_diversity) * (pdp_ctr, pdp_cvr_no_diversity) * (pdp_cvr, home_page_ctr_no_diversity) * (pdp_cvr, home_page_ctr_diversity_low) * (home_page_ctr_no_diversity, pdp_cvr_no_diversity) * Invalid combinations: * * (home_page_ctr_no_diversity, home_page_ctr_no_diversity) * (pdp_cvr, pdp_cvr_no_diversity) *
GoogleCloudRetailV2alphaModelPageOptimizationConfigRestrictionUniqueModelTypeRestriction: UNIQUE_MODEL_TYPE_RESTRICTIONDo not allow multiple ServingConfigs with same Model.type to be shown on different panels. Example: Panel1 candidates: * pdp_ctr, pdp_cvr, home_page_ctr_no_diversity * Panel2 candidates: * home_page_ctr_no_diversity, home_page_ctr_diversity_low, pdp_cvr_no_diversity * Restriction = UNIQUE_MODEL_RESTRICTION Valid combinations: * * (pdp_ctr, home_page_ctr_no_diversity) * (pdp_ctr, home_page_ctr_diversity) * (pdp_cvr, home_page_ctr_no_diversity) * (pdp_cvr, home_page_ctr_diversity_low) * (home_page_ctr_no_diversity, pdp_cvr_no_diversity) * Invalid combinations: * * (pdp_ctr, pdp_cvr_no_diversity) * (pdp_ctr, pdp_cvr_no_diversity) * (pdp_cvr, pdp_cvr_no_diversity) * (home_page_ctr_no_diversity, home_page_ctr_no_diversity) * (home_page_ctr_no_diversity, home_page_ctr_diversity) *

RestrictionUnspecified: RESTRICTION_UNSPECIFIEDUnspecified value for restriction.
NoRestriction: NO_RESTRICTIONAllow any ServingConfig to be show on any number of panels. Example: Panel1 candidates: pdp_ctr, pdp_cvr, home_page_ctr_no_diversity Panel2 candidates: home_page_ctr_no_diversity, home_page_ctr_diversity, pdp_cvr_no_diversity Restriction = NO_RESTRICTION Valid combinations: * * (pdp_ctr, home_page_ctr_no_diversity) * (pdp_ctr, home_page_ctr_diversity) * (pdp_ctr, pdp_cvr_no_diversity) * (pdp_cvr, home_page_ctr_no_diversity) * (pdp_cvr, home_page_ctr_diversity) * (pdp_cvr, pdp_cvr_no_diversity) * (home_page_ctr_no_diversity, home_page_ctr_no_diversity) * (home_page_ctr_no_diversity, home_page_ctr_diversity) * (home_page_ctr_no_diversity, pdp_cvr_no_diversity) * Invalid combinations: []
UniqueServingConfigRestriction: UNIQUE_SERVING_CONFIG_RESTRICTIONDo not allow the same ServingConfig.name to be shown on multiple panels. Example: Panel1 candidates: * pdp_ctr, pdp_cvr, home_page_ctr_no_diversity * Panel2 candidates: * home_page_ctr_no_diversity, home_page_ctr_diversity_low, pdp_cvr_no_diversity * Restriction = UNIQUE_SERVING_CONFIG_RESTRICTION Valid combinations: * * (pdp_ctr, home_page_ctr_no_diversity) * (pdp_ctr, home_page_ctr_diversity_low) * (pdp_ctr, pdp_cvr_no_diversity) * (pdp_ctr, pdp_cvr_no_diversity) * (pdp_cvr, home_page_ctr_no_diversity) * (pdp_cvr, home_page_ctr_diversity_low) * (pdp_cvr, pdp_cvr_no_diversity) * (home_page_ctr_no_diversity, home_page_ctr_diversity_low) * (home_page_ctr_no_diversity, pdp_cvr_no_diversity) * Invalid combinations: * * (home_page_ctr_no_diversity, home_page_ctr_no_diversity) *
UniqueModelRestriction: UNIQUE_MODEL_RESTRICTIONDo not allow multiple ServingConfigs with same Model.name to be show on on different panels. Example: Panel1 candidates: * pdp_ctr, pdp_cvr, home_page_ctr_no_diversity * Panel2 candidates: * home_page_ctr_no_diversity, home_page_ctr_diversity_low, pdp_cvr_no_diversity * Restriction = UNIQUE_MODEL_RESTRICTION Valid combinations: * * (pdp_ctr, home_page_ctr_no_diversity) * (pdp_ctr, home_page_ctr_diversity) * (pdp_ctr, pdp_cvr_no_diversity) * (pdp_ctr, pdp_cvr_no_diversity) * (pdp_cvr, home_page_ctr_no_diversity) * (pdp_cvr, home_page_ctr_diversity_low) * (home_page_ctr_no_diversity, pdp_cvr_no_diversity) * Invalid combinations: * * (home_page_ctr_no_diversity, home_page_ctr_no_diversity) * (pdp_cvr, pdp_cvr_no_diversity) *
UniqueModelTypeRestriction: UNIQUE_MODEL_TYPE_RESTRICTIONDo not allow multiple ServingConfigs with same Model.type to be shown on different panels. Example: Panel1 candidates: * pdp_ctr, pdp_cvr, home_page_ctr_no_diversity * Panel2 candidates: * home_page_ctr_no_diversity, home_page_ctr_diversity_low, pdp_cvr_no_diversity * Restriction = UNIQUE_MODEL_RESTRICTION Valid combinations: * * (pdp_ctr, home_page_ctr_no_diversity) * (pdp_ctr, home_page_ctr_diversity) * (pdp_cvr, home_page_ctr_no_diversity) * (pdp_cvr, home_page_ctr_diversity_low) * (home_page_ctr_no_diversity, pdp_cvr_no_diversity) * Invalid combinations: * * (pdp_ctr, pdp_cvr_no_diversity) * (pdp_ctr, pdp_cvr_no_diversity) * (pdp_cvr, pdp_cvr_no_diversity) * (home_page_ctr_no_diversity, home_page_ctr_no_diversity) * (home_page_ctr_no_diversity, home_page_ctr_diversity) *

RestrictionUnspecified: RESTRICTION_UNSPECIFIEDUnspecified value for restriction.
NoRestriction: NO_RESTRICTIONAllow any ServingConfig to be show on any number of panels. Example: Panel1 candidates: pdp_ctr, pdp_cvr, home_page_ctr_no_diversity Panel2 candidates: home_page_ctr_no_diversity, home_page_ctr_diversity, pdp_cvr_no_diversity Restriction = NO_RESTRICTION Valid combinations: * * (pdp_ctr, home_page_ctr_no_diversity) * (pdp_ctr, home_page_ctr_diversity) * (pdp_ctr, pdp_cvr_no_diversity) * (pdp_cvr, home_page_ctr_no_diversity) * (pdp_cvr, home_page_ctr_diversity) * (pdp_cvr, pdp_cvr_no_diversity) * (home_page_ctr_no_diversity, home_page_ctr_no_diversity) * (home_page_ctr_no_diversity, home_page_ctr_diversity) * (home_page_ctr_no_diversity, pdp_cvr_no_diversity) * Invalid combinations: []
UniqueServingConfigRestriction: UNIQUE_SERVING_CONFIG_RESTRICTIONDo not allow the same ServingConfig.name to be shown on multiple panels. Example: Panel1 candidates: * pdp_ctr, pdp_cvr, home_page_ctr_no_diversity * Panel2 candidates: * home_page_ctr_no_diversity, home_page_ctr_diversity_low, pdp_cvr_no_diversity * Restriction = UNIQUE_SERVING_CONFIG_RESTRICTION Valid combinations: * * (pdp_ctr, home_page_ctr_no_diversity) * (pdp_ctr, home_page_ctr_diversity_low) * (pdp_ctr, pdp_cvr_no_diversity) * (pdp_ctr, pdp_cvr_no_diversity) * (pdp_cvr, home_page_ctr_no_diversity) * (pdp_cvr, home_page_ctr_diversity_low) * (pdp_cvr, pdp_cvr_no_diversity) * (home_page_ctr_no_diversity, home_page_ctr_diversity_low) * (home_page_ctr_no_diversity, pdp_cvr_no_diversity) * Invalid combinations: * * (home_page_ctr_no_diversity, home_page_ctr_no_diversity) *
UniqueModelRestriction: UNIQUE_MODEL_RESTRICTIONDo not allow multiple ServingConfigs with same Model.name to be show on on different panels. Example: Panel1 candidates: * pdp_ctr, pdp_cvr, home_page_ctr_no_diversity * Panel2 candidates: * home_page_ctr_no_diversity, home_page_ctr_diversity_low, pdp_cvr_no_diversity * Restriction = UNIQUE_MODEL_RESTRICTION Valid combinations: * * (pdp_ctr, home_page_ctr_no_diversity) * (pdp_ctr, home_page_ctr_diversity) * (pdp_ctr, pdp_cvr_no_diversity) * (pdp_ctr, pdp_cvr_no_diversity) * (pdp_cvr, home_page_ctr_no_diversity) * (pdp_cvr, home_page_ctr_diversity_low) * (home_page_ctr_no_diversity, pdp_cvr_no_diversity) * Invalid combinations: * * (home_page_ctr_no_diversity, home_page_ctr_no_diversity) * (pdp_cvr, pdp_cvr_no_diversity) *
UniqueModelTypeRestriction: UNIQUE_MODEL_TYPE_RESTRICTIONDo not allow multiple ServingConfigs with same Model.type to be shown on different panels. Example: Panel1 candidates: * pdp_ctr, pdp_cvr, home_page_ctr_no_diversity * Panel2 candidates: * home_page_ctr_no_diversity, home_page_ctr_diversity_low, pdp_cvr_no_diversity * Restriction = UNIQUE_MODEL_RESTRICTION Valid combinations: * * (pdp_ctr, home_page_ctr_no_diversity) * (pdp_ctr, home_page_ctr_diversity) * (pdp_cvr, home_page_ctr_no_diversity) * (pdp_cvr, home_page_ctr_diversity_low) * (home_page_ctr_no_diversity, pdp_cvr_no_diversity) * Invalid combinations: * * (pdp_ctr, pdp_cvr_no_diversity) * (pdp_ctr, pdp_cvr_no_diversity) * (pdp_cvr, pdp_cvr_no_diversity) * (home_page_ctr_no_diversity, home_page_ctr_no_diversity) * (home_page_ctr_no_diversity, home_page_ctr_diversity) *

RESTRICTION_UNSPECIFIED: RESTRICTION_UNSPECIFIEDUnspecified value for restriction.
NO_RESTRICTION: NO_RESTRICTIONAllow any ServingConfig to be show on any number of panels. Example: Panel1 candidates: pdp_ctr, pdp_cvr, home_page_ctr_no_diversity Panel2 candidates: home_page_ctr_no_diversity, home_page_ctr_diversity, pdp_cvr_no_diversity Restriction = NO_RESTRICTION Valid combinations: * * (pdp_ctr, home_page_ctr_no_diversity) * (pdp_ctr, home_page_ctr_diversity) * (pdp_ctr, pdp_cvr_no_diversity) * (pdp_cvr, home_page_ctr_no_diversity) * (pdp_cvr, home_page_ctr_diversity) * (pdp_cvr, pdp_cvr_no_diversity) * (home_page_ctr_no_diversity, home_page_ctr_no_diversity) * (home_page_ctr_no_diversity, home_page_ctr_diversity) * (home_page_ctr_no_diversity, pdp_cvr_no_diversity) * Invalid combinations: []
UNIQUE_SERVING_CONFIG_RESTRICTION: UNIQUE_SERVING_CONFIG_RESTRICTIONDo not allow the same ServingConfig.name to be shown on multiple panels. Example: Panel1 candidates: * pdp_ctr, pdp_cvr, home_page_ctr_no_diversity * Panel2 candidates: * home_page_ctr_no_diversity, home_page_ctr_diversity_low, pdp_cvr_no_diversity * Restriction = UNIQUE_SERVING_CONFIG_RESTRICTION Valid combinations: * * (pdp_ctr, home_page_ctr_no_diversity) * (pdp_ctr, home_page_ctr_diversity_low) * (pdp_ctr, pdp_cvr_no_diversity) * (pdp_ctr, pdp_cvr_no_diversity) * (pdp_cvr, home_page_ctr_no_diversity) * (pdp_cvr, home_page_ctr_diversity_low) * (pdp_cvr, pdp_cvr_no_diversity) * (home_page_ctr_no_diversity, home_page_ctr_diversity_low) * (home_page_ctr_no_diversity, pdp_cvr_no_diversity) * Invalid combinations: * * (home_page_ctr_no_diversity, home_page_ctr_no_diversity) *
UNIQUE_MODEL_RESTRICTION: UNIQUE_MODEL_RESTRICTIONDo not allow multiple ServingConfigs with same Model.name to be show on on different panels. Example: Panel1 candidates: * pdp_ctr, pdp_cvr, home_page_ctr_no_diversity * Panel2 candidates: * home_page_ctr_no_diversity, home_page_ctr_diversity_low, pdp_cvr_no_diversity * Restriction = UNIQUE_MODEL_RESTRICTION Valid combinations: * * (pdp_ctr, home_page_ctr_no_diversity) * (pdp_ctr, home_page_ctr_diversity) * (pdp_ctr, pdp_cvr_no_diversity) * (pdp_ctr, pdp_cvr_no_diversity) * (pdp_cvr, home_page_ctr_no_diversity) * (pdp_cvr, home_page_ctr_diversity_low) * (home_page_ctr_no_diversity, pdp_cvr_no_diversity) * Invalid combinations: * * (home_page_ctr_no_diversity, home_page_ctr_no_diversity) * (pdp_cvr, pdp_cvr_no_diversity) *
UNIQUE_MODEL_TYPE_RESTRICTION: UNIQUE_MODEL_TYPE_RESTRICTIONDo not allow multiple ServingConfigs with same Model.type to be shown on different panels. Example: Panel1 candidates: * pdp_ctr, pdp_cvr, home_page_ctr_no_diversity * Panel2 candidates: * home_page_ctr_no_diversity, home_page_ctr_diversity_low, pdp_cvr_no_diversity * Restriction = UNIQUE_MODEL_RESTRICTION Valid combinations: * * (pdp_ctr, home_page_ctr_no_diversity) * (pdp_ctr, home_page_ctr_diversity) * (pdp_cvr, home_page_ctr_no_diversity) * (pdp_cvr, home_page_ctr_diversity_low) * (home_page_ctr_no_diversity, pdp_cvr_no_diversity) * Invalid combinations: * * (pdp_ctr, pdp_cvr_no_diversity) * (pdp_ctr, pdp_cvr_no_diversity) * (pdp_cvr, pdp_cvr_no_diversity) * (home_page_ctr_no_diversity, home_page_ctr_no_diversity) * (home_page_ctr_no_diversity, home_page_ctr_diversity) *

"RESTRICTION_UNSPECIFIED": RESTRICTION_UNSPECIFIEDUnspecified value for restriction.
"NO_RESTRICTION": NO_RESTRICTIONAllow any ServingConfig to be show on any number of panels. Example: Panel1 candidates: pdp_ctr, pdp_cvr, home_page_ctr_no_diversity Panel2 candidates: home_page_ctr_no_diversity, home_page_ctr_diversity, pdp_cvr_no_diversity Restriction = NO_RESTRICTION Valid combinations: * * (pdp_ctr, home_page_ctr_no_diversity) * (pdp_ctr, home_page_ctr_diversity) * (pdp_ctr, pdp_cvr_no_diversity) * (pdp_cvr, home_page_ctr_no_diversity) * (pdp_cvr, home_page_ctr_diversity) * (pdp_cvr, pdp_cvr_no_diversity) * (home_page_ctr_no_diversity, home_page_ctr_no_diversity) * (home_page_ctr_no_diversity, home_page_ctr_diversity) * (home_page_ctr_no_diversity, pdp_cvr_no_diversity) * Invalid combinations: []
"UNIQUE_SERVING_CONFIG_RESTRICTION": UNIQUE_SERVING_CONFIG_RESTRICTIONDo not allow the same ServingConfig.name to be shown on multiple panels. Example: Panel1 candidates: * pdp_ctr, pdp_cvr, home_page_ctr_no_diversity * Panel2 candidates: * home_page_ctr_no_diversity, home_page_ctr_diversity_low, pdp_cvr_no_diversity * Restriction = UNIQUE_SERVING_CONFIG_RESTRICTION Valid combinations: * * (pdp_ctr, home_page_ctr_no_diversity) * (pdp_ctr, home_page_ctr_diversity_low) * (pdp_ctr, pdp_cvr_no_diversity) * (pdp_ctr, pdp_cvr_no_diversity) * (pdp_cvr, home_page_ctr_no_diversity) * (pdp_cvr, home_page_ctr_diversity_low) * (pdp_cvr, pdp_cvr_no_diversity) * (home_page_ctr_no_diversity, home_page_ctr_diversity_low) * (home_page_ctr_no_diversity, pdp_cvr_no_diversity) * Invalid combinations: * * (home_page_ctr_no_diversity, home_page_ctr_no_diversity) *
"UNIQUE_MODEL_RESTRICTION": UNIQUE_MODEL_RESTRICTIONDo not allow multiple ServingConfigs with same Model.name to be show on on different panels. Example: Panel1 candidates: * pdp_ctr, pdp_cvr, home_page_ctr_no_diversity * Panel2 candidates: * home_page_ctr_no_diversity, home_page_ctr_diversity_low, pdp_cvr_no_diversity * Restriction = UNIQUE_MODEL_RESTRICTION Valid combinations: * * (pdp_ctr, home_page_ctr_no_diversity) * (pdp_ctr, home_page_ctr_diversity) * (pdp_ctr, pdp_cvr_no_diversity) * (pdp_ctr, pdp_cvr_no_diversity) * (pdp_cvr, home_page_ctr_no_diversity) * (pdp_cvr, home_page_ctr_diversity_low) * (home_page_ctr_no_diversity, pdp_cvr_no_diversity) * Invalid combinations: * * (home_page_ctr_no_diversity, home_page_ctr_no_diversity) * (pdp_cvr, pdp_cvr_no_diversity) *
"UNIQUE_MODEL_TYPE_RESTRICTION": UNIQUE_MODEL_TYPE_RESTRICTIONDo not allow multiple ServingConfigs with same Model.type to be shown on different panels. Example: Panel1 candidates: * pdp_ctr, pdp_cvr, home_page_ctr_no_diversity * Panel2 candidates: * home_page_ctr_no_diversity, home_page_ctr_diversity_low, pdp_cvr_no_diversity * Restriction = UNIQUE_MODEL_RESTRICTION Valid combinations: * * (pdp_ctr, home_page_ctr_no_diversity) * (pdp_ctr, home_page_ctr_diversity) * (pdp_cvr, home_page_ctr_no_diversity) * (pdp_cvr, home_page_ctr_diversity_low) * (home_page_ctr_no_diversity, pdp_cvr_no_diversity) * Invalid combinations: * * (pdp_ctr, pdp_cvr_no_diversity) * (pdp_ctr, pdp_cvr_no_diversity) * (pdp_cvr, pdp_cvr_no_diversity) * (home_page_ctr_no_diversity, home_page_ctr_no_diversity) * (home_page_ctr_no_diversity, home_page_ctr_diversity) *

GoogleCloudRetailV2alphaModelServingConfigListResponse, GoogleCloudRetailV2alphaModelServingConfigListResponseArgs

ServingConfigIds List<string>: Optional. A set of valid serving configs that may be used for PAGE_OPTIMIZATION.

ServingConfigIds []string: Optional. A set of valid serving configs that may be used for PAGE_OPTIMIZATION.

servingConfigIds List<String>: Optional. A set of valid serving configs that may be used for PAGE_OPTIMIZATION.

servingConfigIds string[]: Optional. A set of valid serving configs that may be used for PAGE_OPTIMIZATION.

serving_config_ids Sequence[str]: Optional. A set of valid serving configs that may be used for PAGE_OPTIMIZATION.

servingConfigIds List<String>: Optional. A set of valid serving configs that may be used for PAGE_OPTIMIZATION.

ModelFilteringOption, ModelFilteringOptionArgs

RecommendationsFilteringOptionUnspecified: RECOMMENDATIONS_FILTERING_OPTION_UNSPECIFIEDValue used when unset. In this case, server behavior defaults to RECOMMENDATIONS_FILTERING_DISABLED.
RecommendationsFilteringDisabled: RECOMMENDATIONS_FILTERING_DISABLEDRecommendation filtering is disabled.
RecommendationsFilteringEnabled: RECOMMENDATIONS_FILTERING_ENABLEDRecommendation filtering is enabled.

ModelFilteringOptionRecommendationsFilteringOptionUnspecified: RECOMMENDATIONS_FILTERING_OPTION_UNSPECIFIEDValue used when unset. In this case, server behavior defaults to RECOMMENDATIONS_FILTERING_DISABLED.
ModelFilteringOptionRecommendationsFilteringDisabled: RECOMMENDATIONS_FILTERING_DISABLEDRecommendation filtering is disabled.
ModelFilteringOptionRecommendationsFilteringEnabled: RECOMMENDATIONS_FILTERING_ENABLEDRecommendation filtering is enabled.

RecommendationsFilteringOptionUnspecified: RECOMMENDATIONS_FILTERING_OPTION_UNSPECIFIEDValue used when unset. In this case, server behavior defaults to RECOMMENDATIONS_FILTERING_DISABLED.
RecommendationsFilteringDisabled: RECOMMENDATIONS_FILTERING_DISABLEDRecommendation filtering is disabled.
RecommendationsFilteringEnabled: RECOMMENDATIONS_FILTERING_ENABLEDRecommendation filtering is enabled.

RecommendationsFilteringOptionUnspecified: RECOMMENDATIONS_FILTERING_OPTION_UNSPECIFIEDValue used when unset. In this case, server behavior defaults to RECOMMENDATIONS_FILTERING_DISABLED.
RecommendationsFilteringDisabled: RECOMMENDATIONS_FILTERING_DISABLEDRecommendation filtering is disabled.
RecommendationsFilteringEnabled: RECOMMENDATIONS_FILTERING_ENABLEDRecommendation filtering is enabled.

RECOMMENDATIONS_FILTERING_OPTION_UNSPECIFIED: RECOMMENDATIONS_FILTERING_OPTION_UNSPECIFIEDValue used when unset. In this case, server behavior defaults to RECOMMENDATIONS_FILTERING_DISABLED.
RECOMMENDATIONS_FILTERING_DISABLED: RECOMMENDATIONS_FILTERING_DISABLEDRecommendation filtering is disabled.
RECOMMENDATIONS_FILTERING_ENABLED: RECOMMENDATIONS_FILTERING_ENABLEDRecommendation filtering is enabled.

"RECOMMENDATIONS_FILTERING_OPTION_UNSPECIFIED": RECOMMENDATIONS_FILTERING_OPTION_UNSPECIFIEDValue used when unset. In this case, server behavior defaults to RECOMMENDATIONS_FILTERING_DISABLED.
"RECOMMENDATIONS_FILTERING_DISABLED": RECOMMENDATIONS_FILTERING_DISABLEDRecommendation filtering is disabled.
"RECOMMENDATIONS_FILTERING_ENABLED": RECOMMENDATIONS_FILTERING_ENABLEDRecommendation filtering is enabled.

ModelPeriodicTuningState, ModelPeriodicTuningStateArgs

PeriodicTuningStateUnspecified: PERIODIC_TUNING_STATE_UNSPECIFIEDUnspecified default value, should never be explicitly set.
PeriodicTuningDisabled: PERIODIC_TUNING_DISABLEDThe model has periodic tuning disabled. Tuning can be reenabled by calling the EnableModelPeriodicTuning method or by calling the TuneModel method.
AllTuningDisabled: ALL_TUNING_DISABLEDThe model cannot be tuned with periodic tuning OR the TuneModel method. Hide the options in customer UI and reject any requests through the backend self serve API.
PeriodicTuningEnabled: PERIODIC_TUNING_ENABLEDThe model has periodic tuning enabled. Tuning can be disabled by calling the DisableModelPeriodicTuning method.

ModelPeriodicTuningStatePeriodicTuningStateUnspecified: PERIODIC_TUNING_STATE_UNSPECIFIEDUnspecified default value, should never be explicitly set.
ModelPeriodicTuningStatePeriodicTuningDisabled: PERIODIC_TUNING_DISABLEDThe model has periodic tuning disabled. Tuning can be reenabled by calling the EnableModelPeriodicTuning method or by calling the TuneModel method.
ModelPeriodicTuningStateAllTuningDisabled: ALL_TUNING_DISABLEDThe model cannot be tuned with periodic tuning OR the TuneModel method. Hide the options in customer UI and reject any requests through the backend self serve API.
ModelPeriodicTuningStatePeriodicTuningEnabled: PERIODIC_TUNING_ENABLEDThe model has periodic tuning enabled. Tuning can be disabled by calling the DisableModelPeriodicTuning method.

PeriodicTuningStateUnspecified: PERIODIC_TUNING_STATE_UNSPECIFIEDUnspecified default value, should never be explicitly set.
PeriodicTuningDisabled: PERIODIC_TUNING_DISABLEDThe model has periodic tuning disabled. Tuning can be reenabled by calling the EnableModelPeriodicTuning method or by calling the TuneModel method.
AllTuningDisabled: ALL_TUNING_DISABLEDThe model cannot be tuned with periodic tuning OR the TuneModel method. Hide the options in customer UI and reject any requests through the backend self serve API.
PeriodicTuningEnabled: PERIODIC_TUNING_ENABLEDThe model has periodic tuning enabled. Tuning can be disabled by calling the DisableModelPeriodicTuning method.

PeriodicTuningStateUnspecified: PERIODIC_TUNING_STATE_UNSPECIFIEDUnspecified default value, should never be explicitly set.
PeriodicTuningDisabled: PERIODIC_TUNING_DISABLEDThe model has periodic tuning disabled. Tuning can be reenabled by calling the EnableModelPeriodicTuning method or by calling the TuneModel method.
AllTuningDisabled: ALL_TUNING_DISABLEDThe model cannot be tuned with periodic tuning OR the TuneModel method. Hide the options in customer UI and reject any requests through the backend self serve API.
PeriodicTuningEnabled: PERIODIC_TUNING_ENABLEDThe model has periodic tuning enabled. Tuning can be disabled by calling the DisableModelPeriodicTuning method.

PERIODIC_TUNING_STATE_UNSPECIFIED: PERIODIC_TUNING_STATE_UNSPECIFIEDUnspecified default value, should never be explicitly set.
PERIODIC_TUNING_DISABLED: PERIODIC_TUNING_DISABLEDThe model has periodic tuning disabled. Tuning can be reenabled by calling the EnableModelPeriodicTuning method or by calling the TuneModel method.
ALL_TUNING_DISABLED: ALL_TUNING_DISABLEDThe model cannot be tuned with periodic tuning OR the TuneModel method. Hide the options in customer UI and reject any requests through the backend self serve API.
PERIODIC_TUNING_ENABLED: PERIODIC_TUNING_ENABLEDThe model has periodic tuning enabled. Tuning can be disabled by calling the DisableModelPeriodicTuning method.

"PERIODIC_TUNING_STATE_UNSPECIFIED": PERIODIC_TUNING_STATE_UNSPECIFIEDUnspecified default value, should never be explicitly set.
"PERIODIC_TUNING_DISABLED": PERIODIC_TUNING_DISABLEDThe model has periodic tuning disabled. Tuning can be reenabled by calling the EnableModelPeriodicTuning method or by calling the TuneModel method.
"ALL_TUNING_DISABLED": ALL_TUNING_DISABLEDThe model cannot be tuned with periodic tuning OR the TuneModel method. Hide the options in customer UI and reject any requests through the backend self serve API.
"PERIODIC_TUNING_ENABLED": PERIODIC_TUNING_ENABLEDThe model has periodic tuning enabled. Tuning can be disabled by calling the DisableModelPeriodicTuning method.

ModelTrainingState, ModelTrainingStateArgs

TrainingStateUnspecified: TRAINING_STATE_UNSPECIFIEDUnspecified training state.
Paused: PAUSEDThe model training is paused.
Training: TRAININGThe model is training.

ModelTrainingStateTrainingStateUnspecified: TRAINING_STATE_UNSPECIFIEDUnspecified training state.
ModelTrainingStatePaused: PAUSEDThe model training is paused.
ModelTrainingStateTraining: TRAININGThe model is training.

TrainingStateUnspecified: TRAINING_STATE_UNSPECIFIEDUnspecified training state.
Paused: PAUSEDThe model training is paused.
Training: TRAININGThe model is training.

TrainingStateUnspecified: TRAINING_STATE_UNSPECIFIEDUnspecified training state.
Paused: PAUSEDThe model training is paused.
Training: TRAININGThe model is training.

TRAINING_STATE_UNSPECIFIED: TRAINING_STATE_UNSPECIFIEDUnspecified training state.
PAUSED: PAUSEDThe model training is paused.
TRAINING: TRAININGThe model is training.

"TRAINING_STATE_UNSPECIFIED": TRAINING_STATE_UNSPECIFIEDUnspecified training state.
"PAUSED": PAUSEDThe model training is paused.
"TRAINING": TRAININGThe model is training.

Package Details

Repository: Google Cloud Native pulumi/pulumi-google-native
License: Apache-2.0

Google Cloud Native is in preview. Google Cloud Classic is fully supported.

Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi

pulumi/pulumi-google-native

google-native.retail/v2alpha.Model

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Create Model Resource

Constructor syntax

Parameters

Example

Model Resource Properties

Inputs

Outputs

Supporting Types

GoogleCloudRetailV2alphaModelFrequentlyBoughtTogetherFeaturesConfig, GoogleCloudRetailV2alphaModelFrequentlyBoughtTogetherFeaturesConfigArgs

GoogleCloudRetailV2alphaModelFrequentlyBoughtTogetherFeaturesConfigContextProductsType, GoogleCloudRetailV2alphaModelFrequentlyBoughtTogetherFeaturesConfigContextProductsTypeArgs

GoogleCloudRetailV2alphaModelFrequentlyBoughtTogetherFeaturesConfigResponse, GoogleCloudRetailV2alphaModelFrequentlyBoughtTogetherFeaturesConfigResponseArgs

GoogleCloudRetailV2alphaModelModelFeaturesConfig, GoogleCloudRetailV2alphaModelModelFeaturesConfigArgs

GoogleCloudRetailV2alphaModelModelFeaturesConfigResponse, GoogleCloudRetailV2alphaModelModelFeaturesConfigResponseArgs

GoogleCloudRetailV2alphaModelPageOptimizationConfig, GoogleCloudRetailV2alphaModelPageOptimizationConfigArgs

GoogleCloudRetailV2alphaModelPageOptimizationConfigCandidate, GoogleCloudRetailV2alphaModelPageOptimizationConfigCandidateArgs

GoogleCloudRetailV2alphaModelPageOptimizationConfigCandidateResponse, GoogleCloudRetailV2alphaModelPageOptimizationConfigCandidateResponseArgs

GoogleCloudRetailV2alphaModelPageOptimizationConfigPanel, GoogleCloudRetailV2alphaModelPageOptimizationConfigPanelArgs

GoogleCloudRetailV2alphaModelPageOptimizationConfigPanelResponse, GoogleCloudRetailV2alphaModelPageOptimizationConfigPanelResponseArgs

GoogleCloudRetailV2alphaModelPageOptimizationConfigResponse, GoogleCloudRetailV2alphaModelPageOptimizationConfigResponseArgs

GoogleCloudRetailV2alphaModelPageOptimizationConfigRestriction, GoogleCloudRetailV2alphaModelPageOptimizationConfigRestrictionArgs

GoogleCloudRetailV2alphaModelServingConfigListResponse, GoogleCloudRetailV2alphaModelServingConfigListResponseArgs

ModelFilteringOption, ModelFilteringOptionArgs

ModelPeriodicTuningState, ModelPeriodicTuningStateArgs

ModelTrainingState, ModelTrainingStateArgs

Package Details

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