Class Engine.MediaRecommendationEngineConfig.Builder (0.28.0)

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
TypeDescription
Descriptor

Methods

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public Engine.MediaRecommendationEngineConfig.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters
NameDescription
fieldFieldDescriptor
valueObject
Returns
TypeDescription
Engine.MediaRecommendationEngineConfig.Builder
Overrides

build()

public Engine.MediaRecommendationEngineConfig build()
Returns
TypeDescription
Engine.MediaRecommendationEngineConfig

buildPartial()

public Engine.MediaRecommendationEngineConfig buildPartial()
Returns
TypeDescription
Engine.MediaRecommendationEngineConfig

clear()

public Engine.MediaRecommendationEngineConfig.Builder clear()
Returns
TypeDescription
Engine.MediaRecommendationEngineConfig.Builder
Overrides

clearField(Descriptors.FieldDescriptor field)

public Engine.MediaRecommendationEngineConfig.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
NameDescription
fieldFieldDescriptor
Returns
TypeDescription
Engine.MediaRecommendationEngineConfig.Builder
Overrides

clearOneof(Descriptors.OneofDescriptor oneof)

public Engine.MediaRecommendationEngineConfig.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
NameDescription
oneofOneofDescriptor
Returns
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
Engine.MediaRecommendationEngineConfig.Builder

This builder for chaining.

clone()

public Engine.MediaRecommendationEngineConfig.Builder clone()
Returns
TypeDescription
Engine.MediaRecommendationEngineConfig.Builder
Overrides

getDefaultInstanceForType()

public Engine.MediaRecommendationEngineConfig getDefaultInstanceForType()
Returns
TypeDescription
Engine.MediaRecommendationEngineConfig

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()
Returns
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
boolean

Whether the optimizationObjectiveConfig field is set.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
TypeDescription
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
TypeDescription
boolean
Overrides

mergeFrom(Engine.MediaRecommendationEngineConfig other)

public Engine.MediaRecommendationEngineConfig.Builder mergeFrom(Engine.MediaRecommendationEngineConfig other)
Parameter
NameDescription
otherEngine.MediaRecommendationEngineConfig
Returns
TypeDescription
Engine.MediaRecommendationEngineConfig.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public Engine.MediaRecommendationEngineConfig.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputCodedInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
Engine.MediaRecommendationEngineConfig.Builder
Overrides
Exceptions
TypeDescription
IOException

mergeFrom(Message other)

public Engine.MediaRecommendationEngineConfig.Builder mergeFrom(Message other)
Parameter
NameDescription
otherMessage
Returns
TypeDescription
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
NameDescription
valueEngine.MediaRecommendationEngineConfig.OptimizationObjectiveConfig
Returns
TypeDescription
Engine.MediaRecommendationEngineConfig.Builder

mergeUnknownFields(UnknownFieldSet unknownFields)

public final Engine.MediaRecommendationEngineConfig.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
NameDescription
unknownFieldsUnknownFieldSet
Returns
TypeDescription
Engine.MediaRecommendationEngineConfig.Builder
Overrides

setField(Descriptors.FieldDescriptor field, Object value)

public Engine.MediaRecommendationEngineConfig.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters
NameDescription
fieldFieldDescriptor
valueObject
Returns
TypeDescription
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
NameDescription
valueString

The optimizationObjective to set.

Returns
TypeDescription
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
NameDescription
valueByteString

The bytes for optimizationObjective to set.

Returns
TypeDescription
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
NameDescription
valueEngine.MediaRecommendationEngineConfig.OptimizationObjectiveConfig
Returns
TypeDescription
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
NameDescription
builderForValueEngine.MediaRecommendationEngineConfig.OptimizationObjectiveConfig.Builder
Returns
TypeDescription
Engine.MediaRecommendationEngineConfig.Builder

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

public Engine.MediaRecommendationEngineConfig.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters
NameDescription
fieldFieldDescriptor
indexint
valueObject
Returns
TypeDescription
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
NameDescription
valueEngine.MediaRecommendationEngineConfig.TrainingState

The trainingState to set.

Returns
TypeDescription
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
NameDescription
valueint

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

Returns
TypeDescription
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
NameDescription
valueString

The type to set.

Returns
TypeDescription
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
NameDescription
valueByteString

The bytes for type to set.

Returns
TypeDescription
Engine.MediaRecommendationEngineConfig.Builder

This builder for chaining.

setUnknownFields(UnknownFieldSet unknownFields)

public final Engine.MediaRecommendationEngineConfig.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
NameDescription
unknownFieldsUnknownFieldSet
Returns
TypeDescription
Engine.MediaRecommendationEngineConfig.Builder
Overrides