public sealed class Model : IMessage<Model>, IEquatable<Model>, IDeepCloneable<Model>, IBufferMessage, IMessageReference documentation and code samples for the Retail v2 API class Model.
Metadata that describes the training and serving parameters of a [Model][google.cloud.retail.v2.Model]. A [Model][google.cloud.retail.v2.Model] can be associated with a [ServingConfig][google.cloud.retail.v2.ServingConfig] and then queried through the Predict API.
Namespace
Google.Cloud.Retail.V2Assembly
Google.Cloud.Retail.V2.dll
Constructors
Model()
public Model()Model(Model)
public Model(Model other)| Parameter | |
|---|---|
| Name | Description |
other |
Model |
Properties
CreateTime
public Timestamp CreateTime { get; set; }Output only. Timestamp the Recommendation Model was created at.
| Property Value | |
|---|---|
| Type | Description |
Timestamp |
|
DataState
public Model.Types.DataState DataState { get; set; }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.
| Property Value | |
|---|---|
| Type | Description |
ModelTypesDataState |
|
DisplayName
public string DisplayName { get; set; }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.
| Property Value | |
|---|---|
| Type | Description |
string |
|
FilteringOption
public RecommendationsFilteringOption FilteringOption { get; set; }Optional. If RECOMMENDATIONS_FILTERING_ENABLED, recommendation filtering
by attributes is enabled for the model.
| Property Value | |
|---|---|
| Type | Description |
RecommendationsFilteringOption |
|
LastTuneTime
public Timestamp LastTuneTime { get; set; }Output only. The timestamp when the latest successful tune finished.
| Property Value | |
|---|---|
| Type | Description |
Timestamp |
|
ModelName
public ModelName ModelName { get; set; }| Property Value | |
|---|---|
| Type | Description |
ModelName |
|
Name
public string Name { get; set; }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.
| Property Value | |
|---|---|
| Type | Description |
string |
|
OptimizationObjective
public string OptimizationObjective { get; set; }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][google.cloud.retail.v2.Model.type]
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.
| Property Value | |
|---|---|
| Type | Description |
string |
|
PeriodicTuningState
public Model.Types.PeriodicTuningState PeriodicTuningState { get; set; }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.
| Property Value | |
|---|---|
| Type | Description |
ModelTypesPeriodicTuningState |
|
ServingConfigLists
public RepeatedField<Model.Types.ServingConfigList> ServingConfigLists { get; }Output only. The list of valid serving configs associated with the PageOptimizationConfig.
| Property Value | |
|---|---|
| Type | Description |
RepeatedFieldModelTypesServingConfigList |
|
ServingState
public Model.Types.ServingState ServingState { get; set; }Output only. The serving state of the model: ACTIVE, NOT_ACTIVE.
| Property Value | |
|---|---|
| Type | Description |
ModelTypesServingState |
|
TrainingState
public Model.Types.TrainingState TrainingState { get; set; }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.
| Property Value | |
|---|---|
| Type | Description |
ModelTypesTrainingState |
|
TuningOperation
public string TuningOperation { get; set; }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.
| Property Value | |
|---|---|
| Type | Description |
string |
|
Type
public string Type { get; set; }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][google.cloud.retail.v2.Model.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.
| Property Value | |
|---|---|
| Type | Description |
string |
|
UpdateTime
public Timestamp UpdateTime { get; set; }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.
| Property Value | |
|---|---|
| Type | Description |
Timestamp |
|