Class PredictRequest.Builder (0.25.0) 

public static final class PredictRequest.Builder extends GeneratedMessageV3.Builder<PredictRequest.Builder> implements PredictRequestOrBuilder

Request message for Predict method.

Protobuf type google.cloud.recommendationengine.v1beta1.PredictRequest

Inheritance

Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > PredictRequest.Builder

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
TypeDescription
Descriptor

Methods

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

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

build()

public PredictRequest build()
Returns
TypeDescription
PredictRequest

buildPartial()

public PredictRequest buildPartial()
Returns
TypeDescription
PredictRequest

clear()

public PredictRequest.Builder clear()
Returns
TypeDescription
PredictRequest.Builder
Overrides

clearDryRun()

public PredictRequest.Builder clearDryRun()

Optional. Use dryRun mode for this prediction query. If set to true, a dummy model will be used that returns arbitrary catalog items. Note that the dryRun mode should only be used for testing the API, or if the model is not ready.

bool dry_run = 4 [(.google.api.field_behavior) = OPTIONAL];

Returns
TypeDescription
PredictRequest.Builder

This builder for chaining.

clearField(Descriptors.FieldDescriptor field)

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

clearFilter()

public PredictRequest.Builder clearFilter()

Optional. Filter for restricting prediction results. Accepts values for tags and the filterOutOfStockItems flag.

  • Tag expressions. Restricts predictions to items that match all of the specified tags. Boolean operators OR and NOT are supported if the expression is enclosed in parentheses, and must be separated from the tag values by a space. -"tagA" is also supported and is equivalent to NOT "tagA". Tag values must be double quoted UTF-8 encoded strings with a size limit of 1 KiB.
  • filterOutOfStockItems. Restricts predictions to items that do not have a stockState value of OUT_OF_STOCK. Examples:
  • tag=("Red" OR "Blue") tag="New-Arrival" tag=(NOT "promotional")
  • filterOutOfStockItems tag=(-"promotional")
  • filterOutOfStockItems

string filter = 3 [(.google.api.field_behavior) = OPTIONAL];

Returns
TypeDescription
PredictRequest.Builder

This builder for chaining.

clearLabels()

public PredictRequest.Builder clearLabels()
Returns
TypeDescription
PredictRequest.Builder

clearName()

public PredictRequest.Builder clearName()

Required. Full resource name of the format: {name=projects/*/locations/global/catalogs/default_catalog/eventStores/default_event_store/placements/*} The id of the recommendation engine placement. This id is used to identify the set of models that will be used to make the prediction. We currently support three placements with the following IDs by default:

  • shopping_cart: Predicts items frequently bought together with one or more catalog items in the same shopping session. Commonly displayed after add-to-cart events, on product detail pages, or on the shopping cart page.
  • home_page: Predicts the next product that a user will most likely engage with or purchase based on the shopping or viewing history of the specified userId or visitorId. For example - Recommendations for you.
  • product_detail: Predicts the next product that a user will most likely engage with or purchase. The prediction is based on the shopping or viewing history of the specified userId or visitorId and its relevance to a specified CatalogItem. Typically used on product detail pages. For example - More items like this.
  • recently_viewed_default: Returns up to 75 items recently viewed by the specified userId or visitorId, most recent ones first. Returns nothing if neither of them has viewed any items yet. For example - Recently viewed. The full list of available placements can be seen at https://console.cloud.google.com/recommendation/datafeeds/default_catalog/dashboard

string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }

Returns
TypeDescription
PredictRequest.Builder

This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

public PredictRequest.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
NameDescription
oneofOneofDescriptor
Returns
TypeDescription
PredictRequest.Builder
Overrides

clearPageSize()

public PredictRequest.Builder clearPageSize()

Optional. Maximum number of results to return per page. Set this property to the number of prediction results required. If zero, the service will choose a reasonable default.

int32 page_size = 7 [(.google.api.field_behavior) = OPTIONAL];

Returns
TypeDescription
PredictRequest.Builder

This builder for chaining.

clearPageToken()

public PredictRequest.Builder clearPageToken()

Optional. The previous PredictResponse.next_page_token.

string page_token = 8 [(.google.api.field_behavior) = OPTIONAL];

Returns
TypeDescription
PredictRequest.Builder

This builder for chaining.

clearParams()

public PredictRequest.Builder clearParams()
Returns
TypeDescription
PredictRequest.Builder

clearUserEvent()

public PredictRequest.Builder clearUserEvent()

Required. Context about the user, what they are looking at and what action they took to trigger the predict request. Note that this user event detail won't be ingested to userEvent logs. Thus, a separate userEvent write request is required for event logging.

.google.cloud.recommendationengine.v1beta1.UserEvent user_event = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
TypeDescription
PredictRequest.Builder

clone()

public PredictRequest.Builder clone()
Returns
TypeDescription
PredictRequest.Builder
Overrides

containsLabels(String key)

public boolean containsLabels(String key)

Optional. The labels for the predict request.

  • Label keys can contain lowercase letters, digits and hyphens, must start with a letter, and must end with a letter or digit.
  • Non-zero label values can contain lowercase letters, digits and hyphens, must start with a letter, and must end with a letter or digit.
  • No more than 64 labels can be associated with a given request. See https://goo.gl/xmQnxf for more information on and examples of labels.

map<string, string> labels = 9 [(.google.api.field_behavior) = OPTIONAL];

Parameter
NameDescription
keyString
Returns
TypeDescription
boolean

containsParams(String key)

public boolean containsParams(String key)

Optional. Additional domain specific parameters for the predictions. Allowed values:

  • returnCatalogItem: Boolean. If set to true, the associated catalogItem object will be returned in the PredictResponse.PredictionResult.itemMetadata object in the method response.
  • returnItemScore: Boolean. If set to true, the prediction 'score' corresponding to each returned item will be set in the metadata field in the prediction response. The given 'score' indicates the probability of an item being clicked/purchased given the user's context and history.

map<string, .google.protobuf.Value> params = 6 [(.google.api.field_behavior) = OPTIONAL];

Parameter
NameDescription
keyString
Returns
TypeDescription
boolean

getDefaultInstanceForType()

public PredictRequest getDefaultInstanceForType()
Returns
TypeDescription
PredictRequest

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()
Returns
TypeDescription
Descriptor
Overrides

getDryRun()

public boolean getDryRun()

Optional. Use dryRun mode for this prediction query. If set to true, a dummy model will be used that returns arbitrary catalog items. Note that the dryRun mode should only be used for testing the API, or if the model is not ready.

bool dry_run = 4 [(.google.api.field_behavior) = OPTIONAL];

Returns
TypeDescription
boolean

The dryRun.

getFilter()

public String getFilter()

Optional. Filter for restricting prediction results. Accepts values for tags and the filterOutOfStockItems flag.

  • Tag expressions. Restricts predictions to items that match all of the specified tags. Boolean operators OR and NOT are supported if the expression is enclosed in parentheses, and must be separated from the tag values by a space. -"tagA" is also supported and is equivalent to NOT "tagA". Tag values must be double quoted UTF-8 encoded strings with a size limit of 1 KiB.
  • filterOutOfStockItems. Restricts predictions to items that do not have a stockState value of OUT_OF_STOCK. Examples:
  • tag=("Red" OR "Blue") tag="New-Arrival" tag=(NOT "promotional")
  • filterOutOfStockItems tag=(-"promotional")
  • filterOutOfStockItems

string filter = 3 [(.google.api.field_behavior) = OPTIONAL];

Returns
TypeDescription
String

The filter.

getFilterBytes()

public ByteString getFilterBytes()

Optional. Filter for restricting prediction results. Accepts values for tags and the filterOutOfStockItems flag.

  • Tag expressions. Restricts predictions to items that match all of the specified tags. Boolean operators OR and NOT are supported if the expression is enclosed in parentheses, and must be separated from the tag values by a space. -"tagA" is also supported and is equivalent to NOT "tagA". Tag values must be double quoted UTF-8 encoded strings with a size limit of 1 KiB.
  • filterOutOfStockItems. Restricts predictions to items that do not have a stockState value of OUT_OF_STOCK. Examples:
  • tag=("Red" OR "Blue") tag="New-Arrival" tag=(NOT "promotional")
  • filterOutOfStockItems tag=(-"promotional")
  • filterOutOfStockItems

string filter = 3 [(.google.api.field_behavior) = OPTIONAL];

Returns
TypeDescription
ByteString

The bytes for filter.

getLabels()

public Map<String,String> getLabels()

Use #getLabelsMap() instead.

Returns
TypeDescription
Map<String,String>

getLabelsCount()

public int getLabelsCount()

Optional. The labels for the predict request.

  • Label keys can contain lowercase letters, digits and hyphens, must start with a letter, and must end with a letter or digit.
  • Non-zero label values can contain lowercase letters, digits and hyphens, must start with a letter, and must end with a letter or digit.
  • No more than 64 labels can be associated with a given request. See https://goo.gl/xmQnxf for more information on and examples of labels.

map<string, string> labels = 9 [(.google.api.field_behavior) = OPTIONAL];

Returns
TypeDescription
int

getLabelsMap()

public Map<String,String> getLabelsMap()

Optional. The labels for the predict request.

  • Label keys can contain lowercase letters, digits and hyphens, must start with a letter, and must end with a letter or digit.
  • Non-zero label values can contain lowercase letters, digits and hyphens, must start with a letter, and must end with a letter or digit.
  • No more than 64 labels can be associated with a given request. See https://goo.gl/xmQnxf for more information on and examples of labels.

map<string, string> labels = 9 [(.google.api.field_behavior) = OPTIONAL];

Returns
TypeDescription
Map<String,String>

getLabelsOrDefault(String key, String defaultValue)

public String getLabelsOrDefault(String key, String defaultValue)

Optional. The labels for the predict request.

  • Label keys can contain lowercase letters, digits and hyphens, must start with a letter, and must end with a letter or digit.
  • Non-zero label values can contain lowercase letters, digits and hyphens, must start with a letter, and must end with a letter or digit.
  • No more than 64 labels can be associated with a given request. See https://goo.gl/xmQnxf for more information on and examples of labels.

map<string, string> labels = 9 [(.google.api.field_behavior) = OPTIONAL];

Parameters
NameDescription
keyString
defaultValueString
Returns
TypeDescription
String

getLabelsOrThrow(String key)

public String getLabelsOrThrow(String key)

Optional. The labels for the predict request.

  • Label keys can contain lowercase letters, digits and hyphens, must start with a letter, and must end with a letter or digit.
  • Non-zero label values can contain lowercase letters, digits and hyphens, must start with a letter, and must end with a letter or digit.
  • No more than 64 labels can be associated with a given request. See https://goo.gl/xmQnxf for more information on and examples of labels.

map<string, string> labels = 9 [(.google.api.field_behavior) = OPTIONAL];

Parameter
NameDescription
keyString
Returns
TypeDescription
String

getMutableLabels()

public Map<String,String> getMutableLabels()

Use alternate mutation accessors instead.

Returns
TypeDescription
Map<String,String>

getMutableParams()

public Map<String,Value> getMutableParams()

Use alternate mutation accessors instead.

Returns
TypeDescription
Map<String,Value>

getName()

public String getName()

Required. Full resource name of the format: {name=projects/*/locations/global/catalogs/default_catalog/eventStores/default_event_store/placements/*} The id of the recommendation engine placement. This id is used to identify the set of models that will be used to make the prediction. We currently support three placements with the following IDs by default:

  • shopping_cart: Predicts items frequently bought together with one or more catalog items in the same shopping session. Commonly displayed after add-to-cart events, on product detail pages, or on the shopping cart page.
  • home_page: Predicts the next product that a user will most likely engage with or purchase based on the shopping or viewing history of the specified userId or visitorId. For example - Recommendations for you.
  • product_detail: Predicts the next product that a user will most likely engage with or purchase. The prediction is based on the shopping or viewing history of the specified userId or visitorId and its relevance to a specified CatalogItem. Typically used on product detail pages. For example - More items like this.
  • recently_viewed_default: Returns up to 75 items recently viewed by the specified userId or visitorId, most recent ones first. Returns nothing if neither of them has viewed any items yet. For example - Recently viewed. The full list of available placements can be seen at https://console.cloud.google.com/recommendation/datafeeds/default_catalog/dashboard

string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }

Returns
TypeDescription
String

The name.

getNameBytes()

public ByteString getNameBytes()

Required. Full resource name of the format: {name=projects/*/locations/global/catalogs/default_catalog/eventStores/default_event_store/placements/*} The id of the recommendation engine placement. This id is used to identify the set of models that will be used to make the prediction. We currently support three placements with the following IDs by default:

  • shopping_cart: Predicts items frequently bought together with one or more catalog items in the same shopping session. Commonly displayed after add-to-cart events, on product detail pages, or on the shopping cart page.
  • home_page: Predicts the next product that a user will most likely engage with or purchase based on the shopping or viewing history of the specified userId or visitorId. For example - Recommendations for you.
  • product_detail: Predicts the next product that a user will most likely engage with or purchase. The prediction is based on the shopping or viewing history of the specified userId or visitorId and its relevance to a specified CatalogItem. Typically used on product detail pages. For example - More items like this.
  • recently_viewed_default: Returns up to 75 items recently viewed by the specified userId or visitorId, most recent ones first. Returns nothing if neither of them has viewed any items yet. For example - Recently viewed. The full list of available placements can be seen at https://console.cloud.google.com/recommendation/datafeeds/default_catalog/dashboard

string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }

Returns
TypeDescription
ByteString

The bytes for name.

getPageSize()

public int getPageSize()

Optional. Maximum number of results to return per page. Set this property to the number of prediction results required. If zero, the service will choose a reasonable default.

int32 page_size = 7 [(.google.api.field_behavior) = OPTIONAL];

Returns
TypeDescription
int

The pageSize.

getPageToken()

public String getPageToken()

Optional. The previous PredictResponse.next_page_token.

string page_token = 8 [(.google.api.field_behavior) = OPTIONAL];

Returns
TypeDescription
String

The pageToken.

getPageTokenBytes()

public ByteString getPageTokenBytes()

Optional. The previous PredictResponse.next_page_token.

string page_token = 8 [(.google.api.field_behavior) = OPTIONAL];

Returns
TypeDescription
ByteString

The bytes for pageToken.

getParams()

public Map<String,Value> getParams()

Use #getParamsMap() instead.

Returns
TypeDescription
Map<String,Value>

getParamsCount()

public int getParamsCount()

Optional. Additional domain specific parameters for the predictions. Allowed values:

  • returnCatalogItem: Boolean. If set to true, the associated catalogItem object will be returned in the PredictResponse.PredictionResult.itemMetadata object in the method response.
  • returnItemScore: Boolean. If set to true, the prediction 'score' corresponding to each returned item will be set in the metadata field in the prediction response. The given 'score' indicates the probability of an item being clicked/purchased given the user's context and history.

map<string, .google.protobuf.Value> params = 6 [(.google.api.field_behavior) = OPTIONAL];

Returns
TypeDescription
int

getParamsMap()

public Map<String,Value> getParamsMap()

Optional. Additional domain specific parameters for the predictions. Allowed values:

  • returnCatalogItem: Boolean. If set to true, the associated catalogItem object will be returned in the PredictResponse.PredictionResult.itemMetadata object in the method response.
  • returnItemScore: Boolean. If set to true, the prediction 'score' corresponding to each returned item will be set in the metadata field in the prediction response. The given 'score' indicates the probability of an item being clicked/purchased given the user's context and history.

map<string, .google.protobuf.Value> params = 6 [(.google.api.field_behavior) = OPTIONAL];

Returns
TypeDescription
Map<String,Value>

getParamsOrDefault(String key, Value defaultValue)

public Value getParamsOrDefault(String key, Value defaultValue)

Optional. Additional domain specific parameters for the predictions. Allowed values:

  • returnCatalogItem: Boolean. If set to true, the associated catalogItem object will be returned in the PredictResponse.PredictionResult.itemMetadata object in the method response.
  • returnItemScore: Boolean. If set to true, the prediction 'score' corresponding to each returned item will be set in the metadata field in the prediction response. The given 'score' indicates the probability of an item being clicked/purchased given the user's context and history.

map<string, .google.protobuf.Value> params = 6 [(.google.api.field_behavior) = OPTIONAL];

Parameters
NameDescription
keyString
defaultValueValue
Returns
TypeDescription
Value

getParamsOrThrow(String key)

public Value getParamsOrThrow(String key)

Optional. Additional domain specific parameters for the predictions. Allowed values:

  • returnCatalogItem: Boolean. If set to true, the associated catalogItem object will be returned in the PredictResponse.PredictionResult.itemMetadata object in the method response.
  • returnItemScore: Boolean. If set to true, the prediction 'score' corresponding to each returned item will be set in the metadata field in the prediction response. The given 'score' indicates the probability of an item being clicked/purchased given the user's context and history.

map<string, .google.protobuf.Value> params = 6 [(.google.api.field_behavior) = OPTIONAL];

Parameter
NameDescription
keyString
Returns
TypeDescription
Value

getUserEvent()

public UserEvent getUserEvent()

Required. Context about the user, what they are looking at and what action they took to trigger the predict request. Note that this user event detail won't be ingested to userEvent logs. Thus, a separate userEvent write request is required for event logging.

.google.cloud.recommendationengine.v1beta1.UserEvent user_event = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
TypeDescription
UserEvent

The userEvent.

getUserEventBuilder()

public UserEvent.Builder getUserEventBuilder()

Required. Context about the user, what they are looking at and what action they took to trigger the predict request. Note that this user event detail won't be ingested to userEvent logs. Thus, a separate userEvent write request is required for event logging.

.google.cloud.recommendationengine.v1beta1.UserEvent user_event = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
TypeDescription
UserEvent.Builder

getUserEventOrBuilder()

public UserEventOrBuilder getUserEventOrBuilder()

Required. Context about the user, what they are looking at and what action they took to trigger the predict request. Note that this user event detail won't be ingested to userEvent logs. Thus, a separate userEvent write request is required for event logging.

.google.cloud.recommendationengine.v1beta1.UserEvent user_event = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
TypeDescription
UserEventOrBuilder

hasUserEvent()

public boolean hasUserEvent()

Required. Context about the user, what they are looking at and what action they took to trigger the predict request. Note that this user event detail won't be ingested to userEvent logs. Thus, a separate userEvent write request is required for event logging.

.google.cloud.recommendationengine.v1beta1.UserEvent user_event = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
TypeDescription
boolean

Whether the userEvent field is set.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
TypeDescription
FieldAccessorTable
Overrides

internalGetMapField(int number)

protected MapField internalGetMapField(int number)
Parameter
NameDescription
numberint
Returns
TypeDescription
MapField
Overrides

internalGetMutableMapField(int number)

protected MapField internalGetMutableMapField(int number)
Parameter
NameDescription
numberint
Returns
TypeDescription
MapField
Overrides

isInitialized()

public final boolean isInitialized()
Returns
TypeDescription
boolean
Overrides

mergeFrom(PredictRequest other)

public PredictRequest.Builder mergeFrom(PredictRequest other)
Parameter
NameDescription
otherPredictRequest
Returns
TypeDescription
PredictRequest.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

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

mergeFrom(Message other)

public PredictRequest.Builder mergeFrom(Message other)
Parameter
NameDescription
otherMessage
Returns
TypeDescription
PredictRequest.Builder
Overrides

mergeUnknownFields(UnknownFieldSet unknownFields)

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

mergeUserEvent(UserEvent value)

public PredictRequest.Builder mergeUserEvent(UserEvent value)

Required. Context about the user, what they are looking at and what action they took to trigger the predict request. Note that this user event detail won't be ingested to userEvent logs. Thus, a separate userEvent write request is required for event logging.

.google.cloud.recommendationengine.v1beta1.UserEvent user_event = 2 [(.google.api.field_behavior) = REQUIRED];

Parameter
NameDescription
valueUserEvent
Returns
TypeDescription
PredictRequest.Builder

putAllLabels(Map<String,String> values)

public PredictRequest.Builder putAllLabels(Map<String,String> values)

Optional. The labels for the predict request.

  • Label keys can contain lowercase letters, digits and hyphens, must start with a letter, and must end with a letter or digit.
  • Non-zero label values can contain lowercase letters, digits and hyphens, must start with a letter, and must end with a letter or digit.
  • No more than 64 labels can be associated with a given request. See https://goo.gl/xmQnxf for more information on and examples of labels.

map<string, string> labels = 9 [(.google.api.field_behavior) = OPTIONAL];

Parameter
NameDescription
valuesMap<String,String>
Returns
TypeDescription
PredictRequest.Builder

putAllParams(Map<String,Value> values)

public PredictRequest.Builder putAllParams(Map<String,Value> values)

Optional. Additional domain specific parameters for the predictions. Allowed values:

  • returnCatalogItem: Boolean. If set to true, the associated catalogItem object will be returned in the PredictResponse.PredictionResult.itemMetadata object in the method response.
  • returnItemScore: Boolean. If set to true, the prediction 'score' corresponding to each returned item will be set in the metadata field in the prediction response. The given 'score' indicates the probability of an item being clicked/purchased given the user's context and history.

map<string, .google.protobuf.Value> params = 6 [(.google.api.field_behavior) = OPTIONAL];

Parameter
NameDescription
valuesMap<String,Value>
Returns
TypeDescription
PredictRequest.Builder

putLabels(String key, String value)

public PredictRequest.Builder putLabels(String key, String value)

Optional. The labels for the predict request.

  • Label keys can contain lowercase letters, digits and hyphens, must start with a letter, and must end with a letter or digit.
  • Non-zero label values can contain lowercase letters, digits and hyphens, must start with a letter, and must end with a letter or digit.
  • No more than 64 labels can be associated with a given request. See https://goo.gl/xmQnxf for more information on and examples of labels.

map<string, string> labels = 9 [(.google.api.field_behavior) = OPTIONAL];

Parameters
NameDescription
keyString
valueString
Returns
TypeDescription
PredictRequest.Builder

putParams(String key, Value value)

public PredictRequest.Builder putParams(String key, Value value)

Optional. Additional domain specific parameters for the predictions. Allowed values:

  • returnCatalogItem: Boolean. If set to true, the associated catalogItem object will be returned in the PredictResponse.PredictionResult.itemMetadata object in the method response.
  • returnItemScore: Boolean. If set to true, the prediction 'score' corresponding to each returned item will be set in the metadata field in the prediction response. The given 'score' indicates the probability of an item being clicked/purchased given the user's context and history.

map<string, .google.protobuf.Value> params = 6 [(.google.api.field_behavior) = OPTIONAL];

Parameters
NameDescription
keyString
valueValue
Returns
TypeDescription
PredictRequest.Builder

removeLabels(String key)

public PredictRequest.Builder removeLabels(String key)

Optional. The labels for the predict request.

  • Label keys can contain lowercase letters, digits and hyphens, must start with a letter, and must end with a letter or digit.
  • Non-zero label values can contain lowercase letters, digits and hyphens, must start with a letter, and must end with a letter or digit.
  • No more than 64 labels can be associated with a given request. See https://goo.gl/xmQnxf for more information on and examples of labels.

map<string, string> labels = 9 [(.google.api.field_behavior) = OPTIONAL];

Parameter
NameDescription
keyString
Returns
TypeDescription
PredictRequest.Builder

removeParams(String key)

public PredictRequest.Builder removeParams(String key)

Optional. Additional domain specific parameters for the predictions. Allowed values:

  • returnCatalogItem: Boolean. If set to true, the associated catalogItem object will be returned in the PredictResponse.PredictionResult.itemMetadata object in the method response.
  • returnItemScore: Boolean. If set to true, the prediction 'score' corresponding to each returned item will be set in the metadata field in the prediction response. The given 'score' indicates the probability of an item being clicked/purchased given the user's context and history.

map<string, .google.protobuf.Value> params = 6 [(.google.api.field_behavior) = OPTIONAL];

Parameter
NameDescription
keyString
Returns
TypeDescription
PredictRequest.Builder

setDryRun(boolean value)

public PredictRequest.Builder setDryRun(boolean value)

Optional. Use dryRun mode for this prediction query. If set to true, a dummy model will be used that returns arbitrary catalog items. Note that the dryRun mode should only be used for testing the API, or if the model is not ready.

bool dry_run = 4 [(.google.api.field_behavior) = OPTIONAL];

Parameter
NameDescription
valueboolean

The dryRun to set.

Returns
TypeDescription
PredictRequest.Builder

This builder for chaining.

setField(Descriptors.FieldDescriptor field, Object value)

public PredictRequest.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters
NameDescription
fieldFieldDescriptor
valueObject
Returns
TypeDescription
PredictRequest.Builder
Overrides

setFilter(String value)

public PredictRequest.Builder setFilter(String value)

Optional. Filter for restricting prediction results. Accepts values for tags and the filterOutOfStockItems flag.

  • Tag expressions. Restricts predictions to items that match all of the specified tags. Boolean operators OR and NOT are supported if the expression is enclosed in parentheses, and must be separated from the tag values by a space. -"tagA" is also supported and is equivalent to NOT "tagA". Tag values must be double quoted UTF-8 encoded strings with a size limit of 1 KiB.
  • filterOutOfStockItems. Restricts predictions to items that do not have a stockState value of OUT_OF_STOCK. Examples:
  • tag=("Red" OR "Blue") tag="New-Arrival" tag=(NOT "promotional")
  • filterOutOfStockItems tag=(-"promotional")
  • filterOutOfStockItems

string filter = 3 [(.google.api.field_behavior) = OPTIONAL];

Parameter
NameDescription
valueString

The filter to set.

Returns
TypeDescription
PredictRequest.Builder

This builder for chaining.

setFilterBytes(ByteString value)

public PredictRequest.Builder setFilterBytes(ByteString value)

Optional. Filter for restricting prediction results. Accepts values for tags and the filterOutOfStockItems flag.

  • Tag expressions. Restricts predictions to items that match all of the specified tags. Boolean operators OR and NOT are supported if the expression is enclosed in parentheses, and must be separated from the tag values by a space. -"tagA" is also supported and is equivalent to NOT "tagA". Tag values must be double quoted UTF-8 encoded strings with a size limit of 1 KiB.
  • filterOutOfStockItems. Restricts predictions to items that do not have a stockState value of OUT_OF_STOCK. Examples:
  • tag=("Red" OR "Blue") tag="New-Arrival" tag=(NOT "promotional")
  • filterOutOfStockItems tag=(-"promotional")
  • filterOutOfStockItems

string filter = 3 [(.google.api.field_behavior) = OPTIONAL];

Parameter
NameDescription
valueByteString

The bytes for filter to set.

Returns
TypeDescription
PredictRequest.Builder

This builder for chaining.

setName(String value)

public PredictRequest.Builder setName(String value)

Required. Full resource name of the format: {name=projects/*/locations/global/catalogs/default_catalog/eventStores/default_event_store/placements/*} The id of the recommendation engine placement. This id is used to identify the set of models that will be used to make the prediction. We currently support three placements with the following IDs by default:

  • shopping_cart: Predicts items frequently bought together with one or more catalog items in the same shopping session. Commonly displayed after add-to-cart events, on product detail pages, or on the shopping cart page.
  • home_page: Predicts the next product that a user will most likely engage with or purchase based on the shopping or viewing history of the specified userId or visitorId. For example - Recommendations for you.
  • product_detail: Predicts the next product that a user will most likely engage with or purchase. The prediction is based on the shopping or viewing history of the specified userId or visitorId and its relevance to a specified CatalogItem. Typically used on product detail pages. For example - More items like this.
  • recently_viewed_default: Returns up to 75 items recently viewed by the specified userId or visitorId, most recent ones first. Returns nothing if neither of them has viewed any items yet. For example - Recently viewed. The full list of available placements can be seen at https://console.cloud.google.com/recommendation/datafeeds/default_catalog/dashboard

string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }

Parameter
NameDescription
valueString

The name to set.

Returns
TypeDescription
PredictRequest.Builder

This builder for chaining.

setNameBytes(ByteString value)

public PredictRequest.Builder setNameBytes(ByteString value)

Required. Full resource name of the format: {name=projects/*/locations/global/catalogs/default_catalog/eventStores/default_event_store/placements/*} The id of the recommendation engine placement. This id is used to identify the set of models that will be used to make the prediction. We currently support three placements with the following IDs by default:

  • shopping_cart: Predicts items frequently bought together with one or more catalog items in the same shopping session. Commonly displayed after add-to-cart events, on product detail pages, or on the shopping cart page.
  • home_page: Predicts the next product that a user will most likely engage with or purchase based on the shopping or viewing history of the specified userId or visitorId. For example - Recommendations for you.
  • product_detail: Predicts the next product that a user will most likely engage with or purchase. The prediction is based on the shopping or viewing history of the specified userId or visitorId and its relevance to a specified CatalogItem. Typically used on product detail pages. For example - More items like this.
  • recently_viewed_default: Returns up to 75 items recently viewed by the specified userId or visitorId, most recent ones first. Returns nothing if neither of them has viewed any items yet. For example - Recently viewed. The full list of available placements can be seen at https://console.cloud.google.com/recommendation/datafeeds/default_catalog/dashboard

string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }

Parameter
NameDescription
valueByteString

The bytes for name to set.

Returns
TypeDescription
PredictRequest.Builder

This builder for chaining.

setPageSize(int value)

public PredictRequest.Builder setPageSize(int value)

Optional. Maximum number of results to return per page. Set this property to the number of prediction results required. If zero, the service will choose a reasonable default.

int32 page_size = 7 [(.google.api.field_behavior) = OPTIONAL];

Parameter
NameDescription
valueint

The pageSize to set.

Returns
TypeDescription
PredictRequest.Builder

This builder for chaining.

setPageToken(String value)

public PredictRequest.Builder setPageToken(String value)

Optional. The previous PredictResponse.next_page_token.

string page_token = 8 [(.google.api.field_behavior) = OPTIONAL];

Parameter
NameDescription
valueString

The pageToken to set.

Returns
TypeDescription
PredictRequest.Builder

This builder for chaining.

setPageTokenBytes(ByteString value)

public PredictRequest.Builder setPageTokenBytes(ByteString value)

Optional. The previous PredictResponse.next_page_token.

string page_token = 8 [(.google.api.field_behavior) = OPTIONAL];

Parameter
NameDescription
valueByteString

The bytes for pageToken to set.

Returns
TypeDescription
PredictRequest.Builder

This builder for chaining.

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

public PredictRequest.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters
NameDescription
fieldFieldDescriptor
indexint
valueObject
Returns
TypeDescription
PredictRequest.Builder
Overrides

setUnknownFields(UnknownFieldSet unknownFields)

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

setUserEvent(UserEvent value)

public PredictRequest.Builder setUserEvent(UserEvent value)

Required. Context about the user, what they are looking at and what action they took to trigger the predict request. Note that this user event detail won't be ingested to userEvent logs. Thus, a separate userEvent write request is required for event logging.

.google.cloud.recommendationengine.v1beta1.UserEvent user_event = 2 [(.google.api.field_behavior) = REQUIRED];

Parameter
NameDescription
valueUserEvent
Returns
TypeDescription
PredictRequest.Builder

setUserEvent(UserEvent.Builder builderForValue)

public PredictRequest.Builder setUserEvent(UserEvent.Builder builderForValue)

Required. Context about the user, what they are looking at and what action they took to trigger the predict request. Note that this user event detail won't be ingested to userEvent logs. Thus, a separate userEvent write request is required for event logging.

.google.cloud.recommendationengine.v1beta1.UserEvent user_event = 2 [(.google.api.field_behavior) = REQUIRED];

Parameter
NameDescription
builderForValueUserEvent.Builder
Returns
TypeDescription
PredictRequest.Builder