Class Engine.MediaRecommendationEngineConfig.Builder (0.41.0)

public static final class Engine.MediaRecommendationEngineConfig.Builder extends GeneratedMessageV3.Builder<Engine.MediaRecommendationEngineConfig.Builder> implements Engine.MediaRecommendationEngineConfigOrBuilder

Additional config specs for a Media Recommendation engine.

Protobuf type google.cloud.discoveryengine.v1alpha.Engine.MediaRecommendationEngineConfig

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
Type Description
Descriptor

Methods

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public Engine.MediaRecommendationEngineConfig.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters
Name Description
field FieldDescriptor
value Object
Returns
Type Description
Engine.MediaRecommendationEngineConfig.Builder
Overrides

build()

public Engine.MediaRecommendationEngineConfig build()
Returns
Type Description
Engine.MediaRecommendationEngineConfig

buildPartial()

public Engine.MediaRecommendationEngineConfig buildPartial()
Returns
Type Description
Engine.MediaRecommendationEngineConfig

clear()

public Engine.MediaRecommendationEngineConfig.Builder clear()
Returns
Type Description
Engine.MediaRecommendationEngineConfig.Builder
Overrides

clearField(Descriptors.FieldDescriptor field)

public Engine.MediaRecommendationEngineConfig.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
Name Description
field FieldDescriptor
Returns
Type Description
Engine.MediaRecommendationEngineConfig.Builder
Overrides

clearOneof(Descriptors.OneofDescriptor oneof)

public Engine.MediaRecommendationEngineConfig.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
Name Description
oneof OneofDescriptor
Returns
Type Description
Engine.MediaRecommendationEngineConfig.Builder
Overrides

clearOptimizationObjective()

public Engine.MediaRecommendationEngineConfig.Builder clearOptimizationObjective()

The optimization objective. e.g., cvr.

This field together with optimization_objective describe engine metadata to use to control engine training and serving.

Currently supported values: ctr, cvr.

If not specified, we choose default based on engine type. Default depends on type of recommendation:

recommended-for-you => ctr

others-you-may-like => ctr

string optimization_objective = 2;

Returns
Type Description
Engine.MediaRecommendationEngineConfig.Builder

This builder for chaining.

clearOptimizationObjectiveConfig()

public Engine.MediaRecommendationEngineConfig.Builder clearOptimizationObjectiveConfig()

Name and value of the custom threshold for cvr optimization_objective. For target_field watch-time, target_field_value must be an integer value indicating the media progress time in seconds between (0, 86400] (excludes 0, includes 86400) (e.g., 90). For target_field watch-percentage, the target_field_value must be a valid float value between (0, 1.0] (excludes 0, includes 1.0) (e.g., 0.5).

.google.cloud.discoveryengine.v1alpha.Engine.MediaRecommendationEngineConfig.OptimizationObjectiveConfig optimization_objective_config = 3;

Returns
Type Description
Engine.MediaRecommendationEngineConfig.Builder

clearTrainingState()

public Engine.MediaRecommendationEngineConfig.Builder clearTrainingState()

The training state that the engine 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 engine in order to control cost. If not specified: the default value for CreateEngine method is TRAINING. The default value for UpdateEngine method is to keep the state the same as before.

.google.cloud.discoveryengine.v1alpha.Engine.MediaRecommendationEngineConfig.TrainingState training_state = 4;

Returns
Type Description
Engine.MediaRecommendationEngineConfig.Builder

This builder for chaining.

clearType()

public Engine.MediaRecommendationEngineConfig.Builder clearType()

Required. The type of engine. e.g., recommended-for-you.

This field together with optimization_objective describe engine metadata to use to control engine training and serving.

Currently supported values: recommended-for-you, others-you-may-like, more-like-this, most-popular-items.

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

Returns
Type Description
Engine.MediaRecommendationEngineConfig.Builder

This builder for chaining.

clone()

public Engine.MediaRecommendationEngineConfig.Builder clone()
Returns
Type Description
Engine.MediaRecommendationEngineConfig.Builder
Overrides

getDefaultInstanceForType()

public Engine.MediaRecommendationEngineConfig getDefaultInstanceForType()
Returns
Type Description
Engine.MediaRecommendationEngineConfig

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()
Returns
Type Description
Descriptor
Overrides

getOptimizationObjective()

public String getOptimizationObjective()

The optimization objective. e.g., cvr.

This field together with optimization_objective describe engine metadata to use to control engine training and serving.

Currently supported values: ctr, cvr.

If not specified, we choose default based on engine type. Default depends on type of recommendation:

recommended-for-you => ctr

others-you-may-like => ctr

string optimization_objective = 2;

Returns
Type Description
String

The optimizationObjective.

getOptimizationObjectiveBytes()

public ByteString getOptimizationObjectiveBytes()

The optimization objective. e.g., cvr.

This field together with optimization_objective describe engine metadata to use to control engine training and serving.

Currently supported values: ctr, cvr.

If not specified, we choose default based on engine type. Default depends on type of recommendation:

recommended-for-you => ctr

others-you-may-like => ctr

string optimization_objective = 2;

Returns
Type Description
ByteString

The bytes for optimizationObjective.

getOptimizationObjectiveConfig()

public Engine.MediaRecommendationEngineConfig.OptimizationObjectiveConfig getOptimizationObjectiveConfig()

Name and value of the custom threshold for cvr optimization_objective. For target_field watch-time, target_field_value must be an integer value indicating the media progress time in seconds between (0, 86400] (excludes 0, includes 86400) (e.g., 90). For target_field watch-percentage, the target_field_value must be a valid float value between (0, 1.0] (excludes 0, includes 1.0) (e.g., 0.5).

.google.cloud.discoveryengine.v1alpha.Engine.MediaRecommendationEngineConfig.OptimizationObjectiveConfig optimization_objective_config = 3;

Returns
Type Description
Engine.MediaRecommendationEngineConfig.OptimizationObjectiveConfig

The optimizationObjectiveConfig.

getOptimizationObjectiveConfigBuilder()

public Engine.MediaRecommendationEngineConfig.OptimizationObjectiveConfig.Builder getOptimizationObjectiveConfigBuilder()

Name and value of the custom threshold for cvr optimization_objective. For target_field watch-time, target_field_value must be an integer value indicating the media progress time in seconds between (0, 86400] (excludes 0, includes 86400) (e.g., 90). For target_field watch-percentage, the target_field_value must be a valid float value between (0, 1.0] (excludes 0, includes 1.0) (e.g., 0.5).

.google.cloud.discoveryengine.v1alpha.Engine.MediaRecommendationEngineConfig.OptimizationObjectiveConfig optimization_objective_config = 3;

Returns
Type Description
Engine.MediaRecommendationEngineConfig.OptimizationObjectiveConfig.Builder

getOptimizationObjectiveConfigOrBuilder()

public Engine.MediaRecommendationEngineConfig.OptimizationObjectiveConfigOrBuilder getOptimizationObjectiveConfigOrBuilder()

Name and value of the custom threshold for cvr optimization_objective. For target_field watch-time, target_field_value must be an integer value indicating the media progress time in seconds between (0, 86400] (excludes 0, includes 86400) (e.g., 90). For target_field watch-percentage, the target_field_value must be a valid float value between (0, 1.0] (excludes 0, includes 1.0) (e.g., 0.5).

.google.cloud.discoveryengine.v1alpha.Engine.MediaRecommendationEngineConfig.OptimizationObjectiveConfig optimization_objective_config = 3;

Returns
Type Description
Engine.MediaRecommendationEngineConfig.OptimizationObjectiveConfigOrBuilder

getTrainingState()

public Engine.MediaRecommendationEngineConfig.TrainingState getTrainingState()

The training state that the engine 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 engine in order to control cost. If not specified: the default value for CreateEngine method is TRAINING. The default value for UpdateEngine method is to keep the state the same as before.

.google.cloud.discoveryengine.v1alpha.Engine.MediaRecommendationEngineConfig.TrainingState training_state = 4;

Returns
Type Description
Engine.MediaRecommendationEngineConfig.TrainingState

The trainingState.

getTrainingStateValue()

public int getTrainingStateValue()

The training state that the engine 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 engine in order to control cost. If not specified: the default value for CreateEngine method is TRAINING. The default value for UpdateEngine method is to keep the state the same as before.

.google.cloud.discoveryengine.v1alpha.Engine.MediaRecommendationEngineConfig.TrainingState training_state = 4;

Returns
Type Description
int

The enum numeric value on the wire for trainingState.

getType()

public String getType()

Required. The type of engine. e.g., recommended-for-you.

This field together with optimization_objective describe engine metadata to use to control engine training and serving.

Currently supported values: recommended-for-you, others-you-may-like, more-like-this, most-popular-items.

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

Returns
Type Description
String

The type.

getTypeBytes()

public ByteString getTypeBytes()

Required. The type of engine. e.g., recommended-for-you.

This field together with optimization_objective describe engine metadata to use to control engine training and serving.

Currently supported values: recommended-for-you, others-you-may-like, more-like-this, most-popular-items.

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

Returns
Type Description
ByteString

The bytes for type.

hasOptimizationObjectiveConfig()

public boolean hasOptimizationObjectiveConfig()

Name and value of the custom threshold for cvr optimization_objective. For target_field watch-time, target_field_value must be an integer value indicating the media progress time in seconds between (0, 86400] (excludes 0, includes 86400) (e.g., 90). For target_field watch-percentage, the target_field_value must be a valid float value between (0, 1.0] (excludes 0, includes 1.0) (e.g., 0.5).

.google.cloud.discoveryengine.v1alpha.Engine.MediaRecommendationEngineConfig.OptimizationObjectiveConfig optimization_objective_config = 3;

Returns
Type Description
boolean

Whether the optimizationObjectiveConfig field is set.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Type Description
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

mergeFrom(Engine.MediaRecommendationEngineConfig other)

public Engine.MediaRecommendationEngineConfig.Builder mergeFrom(Engine.MediaRecommendationEngineConfig other)
Parameter
Name Description
other Engine.MediaRecommendationEngineConfig
Returns
Type Description
Engine.MediaRecommendationEngineConfig.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public Engine.MediaRecommendationEngineConfig.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input CodedInputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
Engine.MediaRecommendationEngineConfig.Builder
Overrides
Exceptions
Type Description
IOException

mergeFrom(Message other)

public Engine.MediaRecommendationEngineConfig.Builder mergeFrom(Message other)
Parameter
Name Description
other Message
Returns
Type Description
Engine.MediaRecommendationEngineConfig.Builder
Overrides

mergeOptimizationObjectiveConfig(Engine.MediaRecommendationEngineConfig.OptimizationObjectiveConfig value)

public Engine.MediaRecommendationEngineConfig.Builder mergeOptimizationObjectiveConfig(Engine.MediaRecommendationEngineConfig.OptimizationObjectiveConfig value)

Name and value of the custom threshold for cvr optimization_objective. For target_field watch-time, target_field_value must be an integer value indicating the media progress time in seconds between (0, 86400] (excludes 0, includes 86400) (e.g., 90). For target_field watch-percentage, the target_field_value must be a valid float value between (0, 1.0] (excludes 0, includes 1.0) (e.g., 0.5).

.google.cloud.discoveryengine.v1alpha.Engine.MediaRecommendationEngineConfig.OptimizationObjectiveConfig optimization_objective_config = 3;

Parameter
Name Description
value Engine.MediaRecommendationEngineConfig.OptimizationObjectiveConfig
Returns
Type Description
Engine.MediaRecommendationEngineConfig.Builder

mergeUnknownFields(UnknownFieldSet unknownFields)

public final Engine.MediaRecommendationEngineConfig.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
Engine.MediaRecommendationEngineConfig.Builder
Overrides

setField(Descriptors.FieldDescriptor field, Object value)

public Engine.MediaRecommendationEngineConfig.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters
Name Description
field FieldDescriptor
value Object
Returns
Type Description
Engine.MediaRecommendationEngineConfig.Builder
Overrides

setOptimizationObjective(String value)

public Engine.MediaRecommendationEngineConfig.Builder setOptimizationObjective(String value)

The optimization objective. e.g., cvr.

This field together with optimization_objective describe engine metadata to use to control engine training and serving.

Currently supported values: ctr, cvr.

If not specified, we choose default based on engine type. Default depends on type of recommendation:

recommended-for-you => ctr

others-you-may-like => ctr

string optimization_objective = 2;

Parameter
Name Description
value String

The optimizationObjective to set.

Returns
Type Description
Engine.MediaRecommendationEngineConfig.Builder

This builder for chaining.

setOptimizationObjectiveBytes(ByteString value)

public Engine.MediaRecommendationEngineConfig.Builder setOptimizationObjectiveBytes(ByteString value)

The optimization objective. e.g., cvr.

This field together with optimization_objective describe engine metadata to use to control engine training and serving.

Currently supported values: ctr, cvr.

If not specified, we choose default based on engine type. Default depends on type of recommendation:

recommended-for-you => ctr

others-you-may-like => ctr

string optimization_objective = 2;

Parameter
Name Description
value ByteString

The bytes for optimizationObjective to set.

Returns
Type Description
Engine.MediaRecommendationEngineConfig.Builder

This builder for chaining.

setOptimizationObjectiveConfig(Engine.MediaRecommendationEngineConfig.OptimizationObjectiveConfig value)

public Engine.MediaRecommendationEngineConfig.Builder setOptimizationObjectiveConfig(Engine.MediaRecommendationEngineConfig.OptimizationObjectiveConfig value)

Name and value of the custom threshold for cvr optimization_objective. For target_field watch-time, target_field_value must be an integer value indicating the media progress time in seconds between (0, 86400] (excludes 0, includes 86400) (e.g., 90). For target_field watch-percentage, the target_field_value must be a valid float value between (0, 1.0] (excludes 0, includes 1.0) (e.g., 0.5).

.google.cloud.discoveryengine.v1alpha.Engine.MediaRecommendationEngineConfig.OptimizationObjectiveConfig optimization_objective_config = 3;

Parameter
Name Description
value Engine.MediaRecommendationEngineConfig.OptimizationObjectiveConfig
Returns
Type Description
Engine.MediaRecommendationEngineConfig.Builder

setOptimizationObjectiveConfig(Engine.MediaRecommendationEngineConfig.OptimizationObjectiveConfig.Builder builderForValue)

public Engine.MediaRecommendationEngineConfig.Builder setOptimizationObjectiveConfig(Engine.MediaRecommendationEngineConfig.OptimizationObjectiveConfig.Builder builderForValue)

Name and value of the custom threshold for cvr optimization_objective. For target_field watch-time, target_field_value must be an integer value indicating the media progress time in seconds between (0, 86400] (excludes 0, includes 86400) (e.g., 90). For target_field watch-percentage, the target_field_value must be a valid float value between (0, 1.0] (excludes 0, includes 1.0) (e.g., 0.5).

.google.cloud.discoveryengine.v1alpha.Engine.MediaRecommendationEngineConfig.OptimizationObjectiveConfig optimization_objective_config = 3;

Parameter
Name Description
builderForValue Engine.MediaRecommendationEngineConfig.OptimizationObjectiveConfig.Builder
Returns
Type Description
Engine.MediaRecommendationEngineConfig.Builder

setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

public Engine.MediaRecommendationEngineConfig.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters
Name Description
field FieldDescriptor
index int
value Object
Returns
Type Description
Engine.MediaRecommendationEngineConfig.Builder
Overrides

setTrainingState(Engine.MediaRecommendationEngineConfig.TrainingState value)

public Engine.MediaRecommendationEngineConfig.Builder setTrainingState(Engine.MediaRecommendationEngineConfig.TrainingState value)

The training state that the engine 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 engine in order to control cost. If not specified: the default value for CreateEngine method is TRAINING. The default value for UpdateEngine method is to keep the state the same as before.

.google.cloud.discoveryengine.v1alpha.Engine.MediaRecommendationEngineConfig.TrainingState training_state = 4;

Parameter
Name Description
value Engine.MediaRecommendationEngineConfig.TrainingState

The trainingState to set.

Returns
Type Description
Engine.MediaRecommendationEngineConfig.Builder

This builder for chaining.

setTrainingStateValue(int value)

public Engine.MediaRecommendationEngineConfig.Builder setTrainingStateValue(int value)

The training state that the engine 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 engine in order to control cost. If not specified: the default value for CreateEngine method is TRAINING. The default value for UpdateEngine method is to keep the state the same as before.

.google.cloud.discoveryengine.v1alpha.Engine.MediaRecommendationEngineConfig.TrainingState training_state = 4;

Parameter
Name Description
value int

The enum numeric value on the wire for trainingState to set.

Returns
Type Description
Engine.MediaRecommendationEngineConfig.Builder

This builder for chaining.

setType(String value)

public Engine.MediaRecommendationEngineConfig.Builder setType(String value)

Required. The type of engine. e.g., recommended-for-you.

This field together with optimization_objective describe engine metadata to use to control engine training and serving.

Currently supported values: recommended-for-you, others-you-may-like, more-like-this, most-popular-items.

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

Parameter
Name Description
value String

The type to set.

Returns
Type Description
Engine.MediaRecommendationEngineConfig.Builder

This builder for chaining.

setTypeBytes(ByteString value)

public Engine.MediaRecommendationEngineConfig.Builder setTypeBytes(ByteString value)

Required. The type of engine. e.g., recommended-for-you.

This field together with optimization_objective describe engine metadata to use to control engine training and serving.

Currently supported values: recommended-for-you, others-you-may-like, more-like-this, most-popular-items.

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

Parameter
Name Description
value ByteString

The bytes for type to set.

Returns
Type Description
Engine.MediaRecommendationEngineConfig.Builder

This builder for chaining.

setUnknownFields(UnknownFieldSet unknownFields)

public final Engine.MediaRecommendationEngineConfig.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
Engine.MediaRecommendationEngineConfig.Builder
Overrides