Interface ModelOrBuilder (2.43.0)

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public interface ModelOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

getCreateTime()

public abstract Timestamp getCreateTime()

Output only. Timestamp the Recommendation Model was created at.

.google.protobuf.Timestamp create_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
Timestamp	The createTime.

getCreateTimeOrBuilder()

public abstract TimestampOrBuilder getCreateTimeOrBuilder()

Output only. Timestamp the Recommendation Model was created at.

.google.protobuf.Timestamp create_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
TimestampOrBuilder

getDataState()

public abstract Model.DataState getDataState()

Output only. 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.

.google.cloud.retail.v2alpha.Model.DataState data_state = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
Model.DataState	The dataState.

getDataStateValue()

public abstract int getDataStateValue()

Output only. 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.

.google.cloud.retail.v2alpha.Model.DataState data_state = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
int	The enum numeric value on the wire for dataState.

getDisplayName()

public abstract String getDisplayName()

Required. 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.

string display_name = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
String	The displayName.

getDisplayNameBytes()

public abstract ByteString getDisplayNameBytes()

Required. 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.

string display_name = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
ByteString	The bytes for displayName.

getFilteringOption()

public abstract RecommendationsFilteringOption getFilteringOption()

Optional. If RECOMMENDATIONS_FILTERING_ENABLED, recommendation filtering by attributes is enabled for the model.

.google.cloud.retail.v2alpha.RecommendationsFilteringOption filtering_option = 18 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
RecommendationsFilteringOption	The filteringOption.

getFilteringOptionValue()

public abstract int getFilteringOptionValue()

Optional. If RECOMMENDATIONS_FILTERING_ENABLED, recommendation filtering by attributes is enabled for the model.

.google.cloud.retail.v2alpha.RecommendationsFilteringOption filtering_option = 18 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
int	The enum numeric value on the wire for filteringOption.

getLastTuneTime()

public abstract Timestamp getLastTuneTime()

Output only. The timestamp when the latest successful tune finished.

.google.protobuf.Timestamp last_tune_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
Timestamp	The lastTuneTime.

getLastTuneTimeOrBuilder()

public abstract TimestampOrBuilder getLastTuneTimeOrBuilder()

Output only. The timestamp when the latest successful tune finished.

.google.protobuf.Timestamp last_tune_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
TimestampOrBuilder

getName()

public abstract String getName()

Required. 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.

string name = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
String	The name.

getNameBytes()

public abstract ByteString getNameBytes()

Required. 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.

string name = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
ByteString	The bytes for name.

getOptimizationObjective()

public abstract String getOptimizationObjective()

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.

string optimization_objective = 8 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
String	The optimizationObjective.

getOptimizationObjectiveBytes()

public abstract ByteString getOptimizationObjectiveBytes()

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.

string optimization_objective = 8 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
ByteString	The bytes for optimizationObjective.

getPageOptimizationConfig()

public abstract Model.PageOptimizationConfig getPageOptimizationConfig()

Optional. The page optimization config.

.google.cloud.retail.v2alpha.Model.PageOptimizationConfig page_optimization_config = 17 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
Model.PageOptimizationConfig	The pageOptimizationConfig.

getPageOptimizationConfigOrBuilder()

public abstract Model.PageOptimizationConfigOrBuilder getPageOptimizationConfigOrBuilder()

Optional. The page optimization config.

.google.cloud.retail.v2alpha.Model.PageOptimizationConfig page_optimization_config = 17 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
Model.PageOptimizationConfigOrBuilder

getPeriodicTuningState()

public abstract Model.PeriodicTuningState getPeriodicTuningState()

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.

.google.cloud.retail.v2alpha.Model.PeriodicTuningState periodic_tuning_state = 11 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
Model.PeriodicTuningState	The periodicTuningState.

getPeriodicTuningStateValue()

public abstract int getPeriodicTuningStateValue()

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.

.google.cloud.retail.v2alpha.Model.PeriodicTuningState periodic_tuning_state = 11 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
int	The enum numeric value on the wire for periodicTuningState.

getServingConfigLists(int index)

public abstract Model.ServingConfigList getServingConfigLists(int index)

Output only. The list of valid serving configs associated with the PageOptimizationConfig.

repeated .google.cloud.retail.v2alpha.Model.ServingConfigList serving_config_lists = 19 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name	Description
index	int

Returns
Type	Description
Model.ServingConfigList

getServingConfigListsCount()

public abstract int getServingConfigListsCount()

Output only. The list of valid serving configs associated with the PageOptimizationConfig.

repeated .google.cloud.retail.v2alpha.Model.ServingConfigList serving_config_lists = 19 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
int

getServingConfigListsList()

public abstract List<Model.ServingConfigList> getServingConfigListsList()

Output only. The list of valid serving configs associated with the PageOptimizationConfig.

repeated .google.cloud.retail.v2alpha.Model.ServingConfigList serving_config_lists = 19 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
List<ServingConfigList>

getServingConfigListsOrBuilder(int index)

public abstract Model.ServingConfigListOrBuilder getServingConfigListsOrBuilder(int index)

Output only. The list of valid serving configs associated with the PageOptimizationConfig.

repeated .google.cloud.retail.v2alpha.Model.ServingConfigList serving_config_lists = 19 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name	Description
index	int

Returns
Type	Description
Model.ServingConfigListOrBuilder

getServingConfigListsOrBuilderList()

public abstract List<? extends Model.ServingConfigListOrBuilder> getServingConfigListsOrBuilderList()

Output only. The list of valid serving configs associated with the PageOptimizationConfig.

repeated .google.cloud.retail.v2alpha.Model.ServingConfigList serving_config_lists = 19 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
List<? extends com.google.cloud.retail.v2alpha.Model.ServingConfigListOrBuilder>

getServingState()

public abstract Model.ServingState getServingState()

Output only. The serving state of the model: ACTIVE, NOT_ACTIVE.

.google.cloud.retail.v2alpha.Model.ServingState serving_state = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
Model.ServingState	The servingState.

getServingStateValue()

public abstract int getServingStateValue()

Output only. The serving state of the model: ACTIVE, NOT_ACTIVE.

.google.cloud.retail.v2alpha.Model.ServingState serving_state = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
int	The enum numeric value on the wire for servingState.

getTrainingConfigCase()

public abstract Model.TrainingConfigCase getTrainingConfigCase()

Returns
Type	Description
Model.TrainingConfigCase

getTrainingState()

public abstract Model.TrainingState getTrainingState()

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.

.google.cloud.retail.v2alpha.Model.TrainingState training_state = 3 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
Model.TrainingState	The trainingState.

getTrainingStateValue()

public abstract int getTrainingStateValue()

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.

.google.cloud.retail.v2alpha.Model.TrainingState training_state = 3 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
int	The enum numeric value on the wire for trainingState.

getTuningOperation()

public abstract String getTuningOperation()

Output only. 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.

string tuning_operation = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
String	The tuningOperation.

getTuningOperationBytes()

public abstract ByteString getTuningOperationBytes()

Output only. 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.

string tuning_operation = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
ByteString	The bytes for tuningOperation.

getType()

public abstract String getType()

Required. 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.

string type = 7 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
String	The type.

getTypeBytes()

public abstract ByteString getTypeBytes()

Required. 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.

string type = 7 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
ByteString	The bytes for type.

getUpdateTime()

public abstract Timestamp getUpdateTime()

Output only. Timestamp the Recommendation Model was last updated. E.g. if a Recommendation Model was paused - this would be the time the pause was initiated.

.google.protobuf.Timestamp update_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
Timestamp	The updateTime.

getUpdateTimeOrBuilder()

public abstract TimestampOrBuilder getUpdateTimeOrBuilder()

Output only. Timestamp the Recommendation Model was last updated. E.g. if a Recommendation Model was paused - this would be the time the pause was initiated.

.google.protobuf.Timestamp update_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
TimestampOrBuilder

hasCreateTime()

public abstract boolean hasCreateTime()

Output only. Timestamp the Recommendation Model was created at.

.google.protobuf.Timestamp create_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
boolean	Whether the createTime field is set.

hasLastTuneTime()

public abstract boolean hasLastTuneTime()

Output only. The timestamp when the latest successful tune finished.

.google.protobuf.Timestamp last_tune_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
boolean	Whether the lastTuneTime field is set.

hasPageOptimizationConfig()

public abstract boolean hasPageOptimizationConfig()

Optional. The page optimization config.

.google.cloud.retail.v2alpha.Model.PageOptimizationConfig page_optimization_config = 17 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
boolean	Whether the pageOptimizationConfig field is set.

hasUpdateTime()

public abstract boolean hasUpdateTime()

Output only. Timestamp the Recommendation Model was last updated. E.g. if a Recommendation Model was paused - this would be the time the pause was initiated.

.google.protobuf.Timestamp update_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
boolean	Whether the updateTime field is set.