Google Cloud Retail V2 Client - Class Model (2.1.1)

Reference documentation and code samples for the Google Cloud Retail V2 Client class 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.

Generated from protobuf message google.cloud.retail.v2.Model

Namespace

Google \ Cloud \ Retail \ V2

Methods

__construct

Constructor.

Parameters
Name Description
data array

Optional. Data for populating the Message object.
↳ name 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.
↳ display_name 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.
↳ training_state int

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.
↳ serving_state int

Output only. The serving state of the model: ACTIVE, NOT_ACTIVE.
↳ create_time Google\Protobuf\Timestamp

Output only. Timestamp the Recommendation Model was created at.
↳ update_time 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.
↳ type 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.
↳ optimization_objective 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 int

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.
↳ last_tune_time Google\Protobuf\Timestamp

Output only. The timestamp when the latest successful tune finished.
↳ tuning_operation 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.
↳ data_state int

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.
↳ filtering_option int

Optional. If RECOMMENDATIONS_FILTERING_ENABLED, recommendation filtering by attributes is enabled for the model.
↳ serving_config_lists array<Model\ServingConfigList>

Output only. The list of valid serving configs associated with the PageOptimizationConfig.
↳ model_features_config Model\ModelFeaturesConfig

Optional. Additional model features config.

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.

Returns
Type Description
string

setName

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.

Parameter
Name Description
var string
Returns
Type Description
$this

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.

Returns
Type Description
string

setDisplayName

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.

Parameter
Name Description
var string
Returns
Type Description
$this

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.

Returns
Type Description
int

setTrainingState

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.

Parameter
Name Description
var int
Returns
Type Description
$this

getServingState

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

Returns
Type Description
int

setServingState

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

Parameter
Name Description
var int
Returns
Type Description
$this

getCreateTime

Output only. Timestamp the Recommendation Model was created at.

Returns
Type Description
Google\Protobuf\Timestamp|null

hasCreateTime

clearCreateTime

setCreateTime

Output only. Timestamp the Recommendation Model was created at.

Parameter
Name Description
var Google\Protobuf\Timestamp
Returns
Type Description
$this

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.

Returns
Type Description
Google\Protobuf\Timestamp|null

hasUpdateTime

clearUpdateTime

setUpdateTime

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.

Parameter
Name Description
var Google\Protobuf\Timestamp
Returns
Type Description
$this

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.

Returns
Type Description
string

setType

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.

Parameter
Name Description
var string
Returns
Type Description
$this

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.

Returns
Type Description
string

setOptimizationObjective

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.

Parameter
Name Description
var string
Returns
Type Description
$this

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.

Returns
Type Description
int

setPeriodicTuningState

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.

Parameter
Name Description
var int
Returns
Type Description
$this

getLastTuneTime

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

Returns
Type Description
Google\Protobuf\Timestamp|null

hasLastTuneTime

clearLastTuneTime

setLastTuneTime

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

Parameter
Name Description
var Google\Protobuf\Timestamp
Returns
Type Description
$this

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.

Returns
Type Description
string

setTuningOperation

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.

Parameter
Name Description
var string
Returns
Type Description
$this

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.

Returns
Type Description
int

setDataState

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.

Parameter
Name Description
var int
Returns
Type Description
$this

getFilteringOption

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

Returns
Type Description
int

setFilteringOption

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

Parameter
Name Description
var int
Returns
Type Description
$this

getServingConfigLists

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

Returns
Type Description
Google\Protobuf\Internal\RepeatedField

setServingConfigLists

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

Parameter
Name Description
var array<Model\ServingConfigList>
Returns
Type Description
$this

getModelFeaturesConfig

Optional. Additional model features config.

Returns
Type Description
Model\ModelFeaturesConfig|null

hasModelFeaturesConfig

clearModelFeaturesConfig

setModelFeaturesConfig

Optional. Additional model features config.

Parameter
Name Description
var Model\ModelFeaturesConfig
Returns
Type Description
$this