Retail V2 API - Class Google::Cloud::Retail::V2::Model (v0.17.0)

Reference documentation and code samples for the Retail V2 API class Google::Cloud::Retail::V2::Model.

Metadata that describes the training and serving parameters of a Model. A Model can be associated with a ServingConfig and then queried through the Predict API.

Inherits

Object

Extended By

Google::Protobuf::MessageExts::ClassMethods

Includes

Google::Protobuf::MessageExts

Methods

#create_time

def create_time() -> ::Google::Protobuf::Timestamp

Returns

(::Google::Protobuf::Timestamp) — Output only. Timestamp the Recommendation Model was created at.

#data_state

def data_state() -> ::Google::Cloud::Retail::V2::Model::DataState

Returns

(::Google::Cloud::Retail::V2::Model::DataState) — 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.

#display_name

def display_name() -> ::String

Returns

(::String) — 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.

#display_name=

def display_name=(value) -> ::String

Parameter

value (::String) — 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.

Returns

(::String) — 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.

#filtering_option

def filtering_option() -> ::Google::Cloud::Retail::V2::RecommendationsFilteringOption

Returns

(::Google::Cloud::Retail::V2::RecommendationsFilteringOption) — Optional. If RECOMMENDATIONS_FILTERING_ENABLED, recommendation filtering by attributes is enabled for the model.

#filtering_option=

def filtering_option=(value) -> ::Google::Cloud::Retail::V2::RecommendationsFilteringOption

Parameter

value (::Google::Cloud::Retail::V2::RecommendationsFilteringOption) — Optional. If RECOMMENDATIONS_FILTERING_ENABLED, recommendation filtering by attributes is enabled for the model.

Returns

(::Google::Cloud::Retail::V2::RecommendationsFilteringOption) — Optional. If RECOMMENDATIONS_FILTERING_ENABLED, recommendation filtering by attributes is enabled for the model.

#last_tune_time

def last_tune_time() -> ::Google::Protobuf::Timestamp

Returns

(::Google::Protobuf::Timestamp) — Output only. The timestamp when the latest successful tune finished.

#name

def name() -> ::String

Returns

(::String) — 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.

#name=

def name=(value) -> ::String

Parameter

value (::String) — 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.

Returns

(::String) — 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.

#optimization_objective

def optimization_objective() -> ::String

Returns

(::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.

#optimization_objective=

def optimization_objective=(value) -> ::String

Parameter

value (::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.

Returns

(::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.

#periodic_tuning_state

def periodic_tuning_state() -> ::Google::Cloud::Retail::V2::Model::PeriodicTuningState

Returns

(::Google::Cloud::Retail::V2::Model::PeriodicTuningState) — 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.

#periodic_tuning_state=

def periodic_tuning_state=(value) -> ::Google::Cloud::Retail::V2::Model::PeriodicTuningState

Parameter

value (::Google::Cloud::Retail::V2::Model::PeriodicTuningState) — 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.

Returns

(::Google::Cloud::Retail::V2::Model::PeriodicTuningState) — 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.

#serving_config_lists

def serving_config_lists() -> ::Array<::Google::Cloud::Retail::V2::Model::ServingConfigList>

Returns

(::Array<::Google::Cloud::Retail::V2::Model::ServingConfigList>) — Output only. The list of valid serving configs associated with the PageOptimizationConfig.

#serving_state

def serving_state() -> ::Google::Cloud::Retail::V2::Model::ServingState

Returns

(::Google::Cloud::Retail::V2::Model::ServingState) — Output only. The serving state of the model: ACTIVE, NOT_ACTIVE.

#training_state

def training_state() -> ::Google::Cloud::Retail::V2::Model::TrainingState

Returns

(::Google::Cloud::Retail::V2::Model::TrainingState) — 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.

#training_state=

def training_state=(value) -> ::Google::Cloud::Retail::V2::Model::TrainingState

Parameter

value (::Google::Cloud::Retail::V2::Model::TrainingState) — 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.

Returns

(::Google::Cloud::Retail::V2::Model::TrainingState) — 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.

#tuning_operation

def tuning_operation() -> ::String

Returns

(::String) — 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.

#type

def type() -> ::String

Returns

(::String) — 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.

#type=

def type=(value) -> ::String

Parameter

value (::String) — 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.

Returns

(::String) — 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.

#update_time

def update_time() -> ::Google::Protobuf::Timestamp

Returns

(::Google::Protobuf::Timestamp) — 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.