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public static final class Model.Builder extends GeneratedMessageV3.Builder<Model.Builder> implements ModelOrBuilder
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.
Protobuf type google.cloud.retail.v2beta.Model
Inheritance
Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > Model.BuilderImplements
ModelOrBuilderStatic Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Returns | |
---|---|
Type | Description |
Descriptor |
Methods
addAllServingConfigLists(Iterable<? extends Model.ServingConfigList> values)
public Model.Builder addAllServingConfigLists(Iterable<? extends Model.ServingConfigList> values)
Output only. The list of valid serving configs associated with the PageOptimizationConfig.
repeated .google.cloud.retail.v2beta.Model.ServingConfigList serving_config_lists = 19 [(.google.api.field_behavior) = OUTPUT_ONLY];
Parameter | |
---|---|
Name | Description |
values | Iterable<? extends com.google.cloud.retail.v2beta.Model.ServingConfigList> |
Returns | |
---|---|
Type | Description |
Model.Builder |
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public Model.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters | |
---|---|
Name | Description |
field | FieldDescriptor |
value | Object |
Returns | |
---|---|
Type | Description |
Model.Builder |
addServingConfigLists(Model.ServingConfigList value)
public Model.Builder addServingConfigLists(Model.ServingConfigList value)
Output only. The list of valid serving configs associated with the PageOptimizationConfig.
repeated .google.cloud.retail.v2beta.Model.ServingConfigList serving_config_lists = 19 [(.google.api.field_behavior) = OUTPUT_ONLY];
Parameter | |
---|---|
Name | Description |
value | Model.ServingConfigList |
Returns | |
---|---|
Type | Description |
Model.Builder |
addServingConfigLists(Model.ServingConfigList.Builder builderForValue)
public Model.Builder addServingConfigLists(Model.ServingConfigList.Builder builderForValue)
Output only. The list of valid serving configs associated with the PageOptimizationConfig.
repeated .google.cloud.retail.v2beta.Model.ServingConfigList serving_config_lists = 19 [(.google.api.field_behavior) = OUTPUT_ONLY];
Parameter | |
---|---|
Name | Description |
builderForValue | Model.ServingConfigList.Builder |
Returns | |
---|---|
Type | Description |
Model.Builder |
addServingConfigLists(int index, Model.ServingConfigList value)
public Model.Builder addServingConfigLists(int index, Model.ServingConfigList value)
Output only. The list of valid serving configs associated with the PageOptimizationConfig.
repeated .google.cloud.retail.v2beta.Model.ServingConfigList serving_config_lists = 19 [(.google.api.field_behavior) = OUTPUT_ONLY];
Parameters | |
---|---|
Name | Description |
index | int |
value | Model.ServingConfigList |
Returns | |
---|---|
Type | Description |
Model.Builder |
addServingConfigLists(int index, Model.ServingConfigList.Builder builderForValue)
public Model.Builder addServingConfigLists(int index, Model.ServingConfigList.Builder builderForValue)
Output only. The list of valid serving configs associated with the PageOptimizationConfig.
repeated .google.cloud.retail.v2beta.Model.ServingConfigList serving_config_lists = 19 [(.google.api.field_behavior) = OUTPUT_ONLY];
Parameters | |
---|---|
Name | Description |
index | int |
builderForValue | Model.ServingConfigList.Builder |
Returns | |
---|---|
Type | Description |
Model.Builder |
addServingConfigListsBuilder()
public Model.ServingConfigList.Builder addServingConfigListsBuilder()
Output only. The list of valid serving configs associated with the PageOptimizationConfig.
repeated .google.cloud.retail.v2beta.Model.ServingConfigList serving_config_lists = 19 [(.google.api.field_behavior) = OUTPUT_ONLY];
Returns | |
---|---|
Type | Description |
Model.ServingConfigList.Builder |
addServingConfigListsBuilder(int index)
public Model.ServingConfigList.Builder addServingConfigListsBuilder(int index)
Output only. The list of valid serving configs associated with the PageOptimizationConfig.
repeated .google.cloud.retail.v2beta.Model.ServingConfigList serving_config_lists = 19 [(.google.api.field_behavior) = OUTPUT_ONLY];
Parameter | |
---|---|
Name | Description |
index | int |
Returns | |
---|---|
Type | Description |
Model.ServingConfigList.Builder |
build()
public Model build()
Returns | |
---|---|
Type | Description |
Model |
buildPartial()
public Model buildPartial()
Returns | |
---|---|
Type | Description |
Model |
clear()
public Model.Builder clear()
Returns | |
---|---|
Type | Description |
Model.Builder |
clearCreateTime()
public Model.Builder clearCreateTime()
Output only. Timestamp the Recommendation Model was created at.
.google.protobuf.Timestamp create_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
Returns | |
---|---|
Type | Description |
Model.Builder |
clearDataState()
public Model.Builder clearDataState()
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.v2beta.Model.DataState data_state = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];
Returns | |
---|---|
Type | Description |
Model.Builder | This builder for chaining. |
clearDisplayName()
public Model.Builder clearDisplayName()
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 |
Model.Builder | This builder for chaining. |
clearField(Descriptors.FieldDescriptor field)
public Model.Builder clearField(Descriptors.FieldDescriptor field)
Parameter | |
---|---|
Name | Description |
field | FieldDescriptor |
Returns | |
---|---|
Type | Description |
Model.Builder |
clearFilteringOption()
public Model.Builder clearFilteringOption()
Optional. If RECOMMENDATIONS_FILTERING_ENABLED
, recommendation filtering
by attributes is enabled for the model.
.google.cloud.retail.v2beta.RecommendationsFilteringOption filtering_option = 18 [(.google.api.field_behavior) = OPTIONAL];
Returns | |
---|---|
Type | Description |
Model.Builder | This builder for chaining. |
clearLastTuneTime()
public Model.Builder clearLastTuneTime()
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 |
Model.Builder |
clearName()
public Model.Builder clearName()
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 |
Model.Builder | This builder for chaining. |
clearOneof(Descriptors.OneofDescriptor oneof)
public Model.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter | |
---|---|
Name | Description |
oneof | OneofDescriptor |
Returns | |
---|---|
Type | Description |
Model.Builder |
clearOptimizationObjective()
public Model.Builder clearOptimizationObjective()
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 |
Model.Builder | This builder for chaining. |
clearPeriodicTuningState()
public Model.Builder clearPeriodicTuningState()
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.v2beta.Model.PeriodicTuningState periodic_tuning_state = 11 [(.google.api.field_behavior) = OPTIONAL];
Returns | |
---|---|
Type | Description |
Model.Builder | This builder for chaining. |
clearServingConfigLists()
public Model.Builder clearServingConfigLists()
Output only. The list of valid serving configs associated with the PageOptimizationConfig.
repeated .google.cloud.retail.v2beta.Model.ServingConfigList serving_config_lists = 19 [(.google.api.field_behavior) = OUTPUT_ONLY];
Returns | |
---|---|
Type | Description |
Model.Builder |
clearServingState()
public Model.Builder clearServingState()
Output only. The serving state of the model: ACTIVE
, NOT_ACTIVE
.
.google.cloud.retail.v2beta.Model.ServingState serving_state = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
Returns | |
---|---|
Type | Description |
Model.Builder | This builder for chaining. |
clearTrainingState()
public Model.Builder clearTrainingState()
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.v2beta.Model.TrainingState training_state = 3 [(.google.api.field_behavior) = OPTIONAL];
Returns | |
---|---|
Type | Description |
Model.Builder | This builder for chaining. |
clearTuningOperation()
public Model.Builder clearTuningOperation()
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 |
Model.Builder | This builder for chaining. |
clearType()
public Model.Builder clearType()
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 |
Model.Builder | This builder for chaining. |
clearUpdateTime()
public Model.Builder clearUpdateTime()
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 |
Model.Builder |
clone()
public Model.Builder clone()
Returns | |
---|---|
Type | Description |
Model.Builder |
getCreateTime()
public 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. |
getCreateTimeBuilder()
public Timestamp.Builder getCreateTimeBuilder()
Output only. Timestamp the Recommendation Model was created at.
.google.protobuf.Timestamp create_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
Returns | |
---|---|
Type | Description |
Builder |
getCreateTimeOrBuilder()
public 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 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.v2beta.Model.DataState data_state = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];
Returns | |
---|---|
Type | Description |
Model.DataState | The dataState. |
getDataStateValue()
public 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.v2beta.Model.DataState data_state = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];
Returns | |
---|---|
Type | Description |
int | The enum numeric value on the wire for dataState. |
getDefaultInstanceForType()
public Model getDefaultInstanceForType()
Returns | |
---|---|
Type | Description |
Model |
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()
Returns | |
---|---|
Type | Description |
Descriptor |
getDisplayName()
public 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 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 RecommendationsFilteringOption getFilteringOption()
Optional. If RECOMMENDATIONS_FILTERING_ENABLED
, recommendation filtering
by attributes is enabled for the model.
.google.cloud.retail.v2beta.RecommendationsFilteringOption filtering_option = 18 [(.google.api.field_behavior) = OPTIONAL];
Returns | |
---|---|
Type | Description |
RecommendationsFilteringOption | The filteringOption. |
getFilteringOptionValue()
public int getFilteringOptionValue()
Optional. If RECOMMENDATIONS_FILTERING_ENABLED
, recommendation filtering
by attributes is enabled for the model.
.google.cloud.retail.v2beta.RecommendationsFilteringOption filtering_option = 18 [(.google.api.field_behavior) = OPTIONAL];
Returns | |
---|---|
Type | Description |
int | The enum numeric value on the wire for filteringOption. |
getLastTuneTime()
public 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. |
getLastTuneTimeBuilder()
public Timestamp.Builder getLastTuneTimeBuilder()
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 |
Builder |
getLastTuneTimeOrBuilder()
public 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 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 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 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 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. |
getPeriodicTuningState()
public 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.v2beta.Model.PeriodicTuningState periodic_tuning_state = 11 [(.google.api.field_behavior) = OPTIONAL];
Returns | |
---|---|
Type | Description |
Model.PeriodicTuningState | The periodicTuningState. |
getPeriodicTuningStateValue()
public 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.v2beta.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 Model.ServingConfigList getServingConfigLists(int index)
Output only. The list of valid serving configs associated with the PageOptimizationConfig.
repeated .google.cloud.retail.v2beta.Model.ServingConfigList serving_config_lists = 19 [(.google.api.field_behavior) = OUTPUT_ONLY];
Parameter | |
---|---|
Name | Description |
index | int |
Returns | |
---|---|
Type | Description |
Model.ServingConfigList |
getServingConfigListsBuilder(int index)
public Model.ServingConfigList.Builder getServingConfigListsBuilder(int index)
Output only. The list of valid serving configs associated with the PageOptimizationConfig.
repeated .google.cloud.retail.v2beta.Model.ServingConfigList serving_config_lists = 19 [(.google.api.field_behavior) = OUTPUT_ONLY];
Parameter | |
---|---|
Name | Description |
index | int |
Returns | |
---|---|
Type | Description |
Model.ServingConfigList.Builder |
getServingConfigListsBuilderList()
public List<Model.ServingConfigList.Builder> getServingConfigListsBuilderList()
Output only. The list of valid serving configs associated with the PageOptimizationConfig.
repeated .google.cloud.retail.v2beta.Model.ServingConfigList serving_config_lists = 19 [(.google.api.field_behavior) = OUTPUT_ONLY];
Returns | |
---|---|
Type | Description |
List<Builder> |
getServingConfigListsCount()
public int getServingConfigListsCount()
Output only. The list of valid serving configs associated with the PageOptimizationConfig.
repeated .google.cloud.retail.v2beta.Model.ServingConfigList serving_config_lists = 19 [(.google.api.field_behavior) = OUTPUT_ONLY];
Returns | |
---|---|
Type | Description |
int |
getServingConfigListsList()
public List<Model.ServingConfigList> getServingConfigListsList()
Output only. The list of valid serving configs associated with the PageOptimizationConfig.
repeated .google.cloud.retail.v2beta.Model.ServingConfigList serving_config_lists = 19 [(.google.api.field_behavior) = OUTPUT_ONLY];
Returns | |
---|---|
Type | Description |
List<ServingConfigList> |
getServingConfigListsOrBuilder(int index)
public Model.ServingConfigListOrBuilder getServingConfigListsOrBuilder(int index)
Output only. The list of valid serving configs associated with the PageOptimizationConfig.
repeated .google.cloud.retail.v2beta.Model.ServingConfigList serving_config_lists = 19 [(.google.api.field_behavior) = OUTPUT_ONLY];
Parameter | |
---|---|
Name | Description |
index | int |
Returns | |
---|---|
Type | Description |
Model.ServingConfigListOrBuilder |
getServingConfigListsOrBuilderList()
public List<? extends Model.ServingConfigListOrBuilder> getServingConfigListsOrBuilderList()
Output only. The list of valid serving configs associated with the PageOptimizationConfig.
repeated .google.cloud.retail.v2beta.Model.ServingConfigList serving_config_lists = 19 [(.google.api.field_behavior) = OUTPUT_ONLY];
Returns | |
---|---|
Type | Description |
List<? extends com.google.cloud.retail.v2beta.Model.ServingConfigListOrBuilder> |
getServingState()
public Model.ServingState getServingState()
Output only. The serving state of the model: ACTIVE
, NOT_ACTIVE
.
.google.cloud.retail.v2beta.Model.ServingState serving_state = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
Returns | |
---|---|
Type | Description |
Model.ServingState | The servingState. |
getServingStateValue()
public int getServingStateValue()
Output only. The serving state of the model: ACTIVE
, NOT_ACTIVE
.
.google.cloud.retail.v2beta.Model.ServingState serving_state = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
Returns | |
---|---|
Type | Description |
int | The enum numeric value on the wire for servingState. |
getTrainingState()
public 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.v2beta.Model.TrainingState training_state = 3 [(.google.api.field_behavior) = OPTIONAL];
Returns | |
---|---|
Type | Description |
Model.TrainingState | The trainingState. |
getTrainingStateValue()
public 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.v2beta.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 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 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 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 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 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. |
getUpdateTimeBuilder()
public Timestamp.Builder getUpdateTimeBuilder()
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 |
Builder |
getUpdateTimeOrBuilder()
public 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 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 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. |
hasUpdateTime()
public 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. |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns | |
---|---|
Type | Description |
FieldAccessorTable |
isInitialized()
public final boolean isInitialized()
Returns | |
---|---|
Type | Description |
boolean |
mergeCreateTime(Timestamp value)
public Model.Builder mergeCreateTime(Timestamp value)
Output only. Timestamp the Recommendation Model was created at.
.google.protobuf.Timestamp create_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
Parameter | |
---|---|
Name | Description |
value | Timestamp |
Returns | |
---|---|
Type | Description |
Model.Builder |
mergeFrom(Model other)
public Model.Builder mergeFrom(Model other)
Parameter | |
---|---|
Name | Description |
other | Model |
Returns | |
---|---|
Type | Description |
Model.Builder |
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public Model.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters | |
---|---|
Name | Description |
input | CodedInputStream |
extensionRegistry | ExtensionRegistryLite |
Returns | |
---|---|
Type | Description |
Model.Builder |
Exceptions | |
---|---|
Type | Description |
IOException |
mergeFrom(Message other)
public Model.Builder mergeFrom(Message other)
Parameter | |
---|---|
Name | Description |
other | Message |
Returns | |
---|---|
Type | Description |
Model.Builder |
mergeLastTuneTime(Timestamp value)
public Model.Builder mergeLastTuneTime(Timestamp value)
Output only. The timestamp when the latest successful tune finished.
.google.protobuf.Timestamp last_tune_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
Parameter | |
---|---|
Name | Description |
value | Timestamp |
Returns | |
---|---|
Type | Description |
Model.Builder |
mergeUnknownFields(UnknownFieldSet unknownFields)
public final Model.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter | |
---|---|
Name | Description |
unknownFields | UnknownFieldSet |
Returns | |
---|---|
Type | Description |
Model.Builder |
mergeUpdateTime(Timestamp value)
public Model.Builder mergeUpdateTime(Timestamp value)
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];
Parameter | |
---|---|
Name | Description |
value | Timestamp |
Returns | |
---|---|
Type | Description |
Model.Builder |
removeServingConfigLists(int index)
public Model.Builder removeServingConfigLists(int index)
Output only. The list of valid serving configs associated with the PageOptimizationConfig.
repeated .google.cloud.retail.v2beta.Model.ServingConfigList serving_config_lists = 19 [(.google.api.field_behavior) = OUTPUT_ONLY];
Parameter | |
---|---|
Name | Description |
index | int |
Returns | |
---|---|
Type | Description |
Model.Builder |
setCreateTime(Timestamp value)
public Model.Builder setCreateTime(Timestamp value)
Output only. Timestamp the Recommendation Model was created at.
.google.protobuf.Timestamp create_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
Parameter | |
---|---|
Name | Description |
value | Timestamp |
Returns | |
---|---|
Type | Description |
Model.Builder |
setCreateTime(Timestamp.Builder builderForValue)
public Model.Builder setCreateTime(Timestamp.Builder builderForValue)
Output only. Timestamp the Recommendation Model was created at.
.google.protobuf.Timestamp create_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
Parameter | |
---|---|
Name | Description |
builderForValue | Builder |
Returns | |
---|---|
Type | Description |
Model.Builder |
setDataState(Model.DataState value)
public Model.Builder setDataState(Model.DataState value)
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.v2beta.Model.DataState data_state = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];
Parameter | |
---|---|
Name | Description |
value | Model.DataState The dataState to set. |
Returns | |
---|---|
Type | Description |
Model.Builder | This builder for chaining. |
setDataStateValue(int value)
public Model.Builder setDataStateValue(int value)
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.v2beta.Model.DataState data_state = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];
Parameter | |
---|---|
Name | Description |
value | int The enum numeric value on the wire for dataState to set. |
Returns | |
---|---|
Type | Description |
Model.Builder | This builder for chaining. |
setDisplayName(String value)
public Model.Builder setDisplayName(String value)
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];
Parameter | |
---|---|
Name | Description |
value | String The displayName to set. |
Returns | |
---|---|
Type | Description |
Model.Builder | This builder for chaining. |
setDisplayNameBytes(ByteString value)
public Model.Builder setDisplayNameBytes(ByteString value)
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];
Parameter | |
---|---|
Name | Description |
value | ByteString The bytes for displayName to set. |
Returns | |
---|---|
Type | Description |
Model.Builder | This builder for chaining. |
setField(Descriptors.FieldDescriptor field, Object value)
public Model.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters | |
---|---|
Name | Description |
field | FieldDescriptor |
value | Object |
Returns | |
---|---|
Type | Description |
Model.Builder |
setFilteringOption(RecommendationsFilteringOption value)
public Model.Builder setFilteringOption(RecommendationsFilteringOption value)
Optional. If RECOMMENDATIONS_FILTERING_ENABLED
, recommendation filtering
by attributes is enabled for the model.
.google.cloud.retail.v2beta.RecommendationsFilteringOption filtering_option = 18 [(.google.api.field_behavior) = OPTIONAL];
Parameter | |
---|---|
Name | Description |
value | RecommendationsFilteringOption The filteringOption to set. |
Returns | |
---|---|
Type | Description |
Model.Builder | This builder for chaining. |
setFilteringOptionValue(int value)
public Model.Builder setFilteringOptionValue(int value)
Optional. If RECOMMENDATIONS_FILTERING_ENABLED
, recommendation filtering
by attributes is enabled for the model.
.google.cloud.retail.v2beta.RecommendationsFilteringOption filtering_option = 18 [(.google.api.field_behavior) = OPTIONAL];
Parameter | |
---|---|
Name | Description |
value | int The enum numeric value on the wire for filteringOption to set. |
Returns | |
---|---|
Type | Description |
Model.Builder | This builder for chaining. |
setLastTuneTime(Timestamp value)
public Model.Builder setLastTuneTime(Timestamp value)
Output only. The timestamp when the latest successful tune finished.
.google.protobuf.Timestamp last_tune_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
Parameter | |
---|---|
Name | Description |
value | Timestamp |
Returns | |
---|---|
Type | Description |
Model.Builder |
setLastTuneTime(Timestamp.Builder builderForValue)
public Model.Builder setLastTuneTime(Timestamp.Builder builderForValue)
Output only. The timestamp when the latest successful tune finished.
.google.protobuf.Timestamp last_tune_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
Parameter | |
---|---|
Name | Description |
builderForValue | Builder |
Returns | |
---|---|
Type | Description |
Model.Builder |
setName(String value)
public Model.Builder setName(String value)
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];
Parameter | |
---|---|
Name | Description |
value | String The name to set. |
Returns | |
---|---|
Type | Description |
Model.Builder | This builder for chaining. |
setNameBytes(ByteString value)
public Model.Builder setNameBytes(ByteString value)
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];
Parameter | |
---|---|
Name | Description |
value | ByteString The bytes for name to set. |
Returns | |
---|---|
Type | Description |
Model.Builder | This builder for chaining. |
setOptimizationObjective(String value)
public Model.Builder setOptimizationObjective(String value)
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];
Parameter | |
---|---|
Name | Description |
value | String The optimizationObjective to set. |
Returns | |
---|---|
Type | Description |
Model.Builder | This builder for chaining. |
setOptimizationObjectiveBytes(ByteString value)
public Model.Builder setOptimizationObjectiveBytes(ByteString value)
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];
Parameter | |
---|---|
Name | Description |
value | ByteString The bytes for optimizationObjective to set. |
Returns | |
---|---|
Type | Description |
Model.Builder | This builder for chaining. |
setPeriodicTuningState(Model.PeriodicTuningState value)
public Model.Builder setPeriodicTuningState(Model.PeriodicTuningState value)
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.v2beta.Model.PeriodicTuningState periodic_tuning_state = 11 [(.google.api.field_behavior) = OPTIONAL];
Parameter | |
---|---|
Name | Description |
value | Model.PeriodicTuningState The periodicTuningState to set. |
Returns | |
---|---|
Type | Description |
Model.Builder | This builder for chaining. |
setPeriodicTuningStateValue(int value)
public Model.Builder setPeriodicTuningStateValue(int value)
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.v2beta.Model.PeriodicTuningState periodic_tuning_state = 11 [(.google.api.field_behavior) = OPTIONAL];
Parameter | |
---|---|
Name | Description |
value | int The enum numeric value on the wire for periodicTuningState to set. |
Returns | |
---|---|
Type | Description |
Model.Builder | This builder for chaining. |
setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
public Model.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters | |
---|---|
Name | Description |
field | FieldDescriptor |
index | int |
value | Object |
Returns | |
---|---|
Type | Description |
Model.Builder |
setServingConfigLists(int index, Model.ServingConfigList value)
public Model.Builder setServingConfigLists(int index, Model.ServingConfigList value)
Output only. The list of valid serving configs associated with the PageOptimizationConfig.
repeated .google.cloud.retail.v2beta.Model.ServingConfigList serving_config_lists = 19 [(.google.api.field_behavior) = OUTPUT_ONLY];
Parameters | |
---|---|
Name | Description |
index | int |
value | Model.ServingConfigList |
Returns | |
---|---|
Type | Description |
Model.Builder |
setServingConfigLists(int index, Model.ServingConfigList.Builder builderForValue)
public Model.Builder setServingConfigLists(int index, Model.ServingConfigList.Builder builderForValue)
Output only. The list of valid serving configs associated with the PageOptimizationConfig.
repeated .google.cloud.retail.v2beta.Model.ServingConfigList serving_config_lists = 19 [(.google.api.field_behavior) = OUTPUT_ONLY];
Parameters | |
---|---|
Name | Description |
index | int |
builderForValue | Model.ServingConfigList.Builder |
Returns | |
---|---|
Type | Description |
Model.Builder |
setServingState(Model.ServingState value)
public Model.Builder setServingState(Model.ServingState value)
Output only. The serving state of the model: ACTIVE
, NOT_ACTIVE
.
.google.cloud.retail.v2beta.Model.ServingState serving_state = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
Parameter | |
---|---|
Name | Description |
value | Model.ServingState The servingState to set. |
Returns | |
---|---|
Type | Description |
Model.Builder | This builder for chaining. |
setServingStateValue(int value)
public Model.Builder setServingStateValue(int value)
Output only. The serving state of the model: ACTIVE
, NOT_ACTIVE
.
.google.cloud.retail.v2beta.Model.ServingState serving_state = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
Parameter | |
---|---|
Name | Description |
value | int The enum numeric value on the wire for servingState to set. |
Returns | |
---|---|
Type | Description |
Model.Builder | This builder for chaining. |
setTrainingState(Model.TrainingState value)
public Model.Builder setTrainingState(Model.TrainingState value)
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.v2beta.Model.TrainingState training_state = 3 [(.google.api.field_behavior) = OPTIONAL];
Parameter | |
---|---|
Name | Description |
value | Model.TrainingState The trainingState to set. |
Returns | |
---|---|
Type | Description |
Model.Builder | This builder for chaining. |
setTrainingStateValue(int value)
public Model.Builder setTrainingStateValue(int value)
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.v2beta.Model.TrainingState training_state = 3 [(.google.api.field_behavior) = OPTIONAL];
Parameter | |
---|---|
Name | Description |
value | int The enum numeric value on the wire for trainingState to set. |
Returns | |
---|---|
Type | Description |
Model.Builder | This builder for chaining. |
setTuningOperation(String value)
public Model.Builder setTuningOperation(String value)
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];
Parameter | |
---|---|
Name | Description |
value | String The tuningOperation to set. |
Returns | |
---|---|
Type | Description |
Model.Builder | This builder for chaining. |
setTuningOperationBytes(ByteString value)
public Model.Builder setTuningOperationBytes(ByteString value)
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];
Parameter | |
---|---|
Name | Description |
value | ByteString The bytes for tuningOperation to set. |
Returns | |
---|---|
Type | Description |
Model.Builder | This builder for chaining. |
setType(String value)
public Model.Builder setType(String value)
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];
Parameter | |
---|---|
Name | Description |
value | String The type to set. |
Returns | |
---|---|
Type | Description |
Model.Builder | This builder for chaining. |
setTypeBytes(ByteString value)
public Model.Builder setTypeBytes(ByteString value)
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];
Parameter | |
---|---|
Name | Description |
value | ByteString The bytes for type to set. |
Returns | |
---|---|
Type | Description |
Model.Builder | This builder for chaining. |
setUnknownFields(UnknownFieldSet unknownFields)
public final Model.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter | |
---|---|
Name | Description |
unknownFields | UnknownFieldSet |
Returns | |
---|---|
Type | Description |
Model.Builder |
setUpdateTime(Timestamp value)
public Model.Builder setUpdateTime(Timestamp value)
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];
Parameter | |
---|---|
Name | Description |
value | Timestamp |
Returns | |
---|---|
Type | Description |
Model.Builder |
setUpdateTime(Timestamp.Builder builderForValue)
public Model.Builder setUpdateTime(Timestamp.Builder builderForValue)
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];
Parameter | |
---|---|
Name | Description |
builderForValue | Builder |
Returns | |
---|---|
Type | Description |
Model.Builder |