Class PredictRequest

public final class PredictRequest extends GeneratedMessageV3 implements PredictRequestOrBuilder

Request message for Predict method.

Protobuf type google.cloud.recommendationengine.v1beta1.PredictRequest

Static Fields

DRY_RUN_FIELD_NUMBER

public static final int DRY_RUN_FIELD_NUMBER
Field Value
TypeDescription
int

FILTER_FIELD_NUMBER

public static final int FILTER_FIELD_NUMBER
Field Value
TypeDescription
int

LABELS_FIELD_NUMBER

public static final int LABELS_FIELD_NUMBER
Field Value
TypeDescription
int

NAME_FIELD_NUMBER

public static final int NAME_FIELD_NUMBER
Field Value
TypeDescription
int

PAGE_SIZE_FIELD_NUMBER

public static final int PAGE_SIZE_FIELD_NUMBER
Field Value
TypeDescription
int

PAGE_TOKEN_FIELD_NUMBER

public static final int PAGE_TOKEN_FIELD_NUMBER
Field Value
TypeDescription
int

PARAMS_FIELD_NUMBER

public static final int PARAMS_FIELD_NUMBER
Field Value
TypeDescription
int

USER_EVENT_FIELD_NUMBER

public static final int USER_EVENT_FIELD_NUMBER
Field Value
TypeDescription
int

Static Methods

getDefaultInstance()

public static PredictRequest getDefaultInstance()
Returns
TypeDescription
PredictRequest

getDescriptor()

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

newBuilder()

public static PredictRequest.Builder newBuilder()
Returns
TypeDescription
PredictRequest.Builder

newBuilder(PredictRequest prototype)

public static PredictRequest.Builder newBuilder(PredictRequest prototype)
Parameter
NameDescription
prototypePredictRequest
Returns
TypeDescription
PredictRequest.Builder

parseDelimitedFrom(InputStream input)

public static PredictRequest parseDelimitedFrom(InputStream input)
Parameter
NameDescription
inputInputStream
Returns
TypeDescription
PredictRequest
Exceptions
TypeDescription
IOException

parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static PredictRequest parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
PredictRequest
Exceptions
TypeDescription
IOException

parseFrom(byte[] data)

public static PredictRequest parseFrom(byte[] data)
Parameter
NameDescription
databyte[]
Returns
TypeDescription
PredictRequest
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

public static PredictRequest parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
databyte[]
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
PredictRequest
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteString data)

public static PredictRequest parseFrom(ByteString data)
Parameter
NameDescription
dataByteString
Returns
TypeDescription
PredictRequest
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

public static PredictRequest parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
dataByteString
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
PredictRequest
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(CodedInputStream input)

public static PredictRequest parseFrom(CodedInputStream input)
Parameter
NameDescription
inputCodedInputStream
Returns
TypeDescription
PredictRequest
Exceptions
TypeDescription
IOException

parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public static PredictRequest parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputCodedInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
PredictRequest
Exceptions
TypeDescription
IOException

parseFrom(InputStream input)

public static PredictRequest parseFrom(InputStream input)
Parameter
NameDescription
inputInputStream
Returns
TypeDescription
PredictRequest
Exceptions
TypeDescription
IOException

parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static PredictRequest parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
PredictRequest
Exceptions
TypeDescription
IOException

parseFrom(ByteBuffer data)

public static PredictRequest parseFrom(ByteBuffer data)
Parameter
NameDescription
dataByteBuffer
Returns
TypeDescription
PredictRequest
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

public static PredictRequest parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
dataByteBuffer
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
PredictRequest
Exceptions
TypeDescription
InvalidProtocolBufferException

parser()

public static Parser<PredictRequest> parser()
Returns
TypeDescription
Parser<PredictRequest>

Methods

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

equals(Object obj)

public boolean equals(Object obj)
Parameter
NameDescription
objObject
Returns
TypeDescription
boolean
Overrides

getDefaultInstanceForType()

public PredictRequest getDefaultInstanceForType()
Returns
TypeDescription
PredictRequest

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

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

getParserForType()

public Parser<PredictRequest> getParserForType()
Returns
TypeDescription
Parser<PredictRequest>
Overrides

getSerializedSize()

public int getSerializedSize()
Returns
TypeDescription
int
Overrides

getUnknownFields()

public final UnknownFieldSet getUnknownFields()
Returns
TypeDescription
UnknownFieldSet
Overrides

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.

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.

hashCode()

public int hashCode()
Returns
TypeDescription
int
Overrides

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
TypeDescription
FieldAccessorTable
Overrides

internalGetMapField(int number)

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

isInitialized()

public final boolean isInitialized()
Returns
TypeDescription
boolean
Overrides

newBuilderForType()

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

newBuilderForType(GeneratedMessageV3.BuilderParent parent)

protected PredictRequest.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Parameter
NameDescription
parentBuilderParent
Returns
TypeDescription
PredictRequest.Builder
Overrides

newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Parameter
NameDescription
unusedUnusedPrivateParameter
Returns
TypeDescription
Object
Overrides

toBuilder()

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

writeTo(CodedOutputStream output)

public void writeTo(CodedOutputStream output)
Parameter
NameDescription
outputCodedOutputStream
Overrides Exceptions
TypeDescription
IOException