Class PredictRequest (2.2.0)

public final class PredictRequest extends GeneratedMessageV3 implements PredictRequestOrBuilder

Request message for Predict method.

Protobuf type google.cloud.retail.v2.PredictRequest

Static Fields

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

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

PLACEMENT_FIELD_NUMBER

public static final int PLACEMENT_FIELD_NUMBER
Field Value
TypeDescription
int

USER_EVENT_FIELD_NUMBER

public static final int USER_EVENT_FIELD_NUMBER
Field Value
TypeDescription
int

VALIDATE_ONLY_FIELD_NUMBER

public static final int VALIDATE_ONLY_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)

The labels applied to a resource must meet the following requirements:

  • Each resource can have multiple labels, up to a maximum of 64.
  • Each label must be a key-value pair.
  • Keys have a minimum length of 1 character and a maximum length of 63 characters and cannot be empty. Values can be empty and have a maximum length of 63 characters.
  • Keys and values can contain only lowercase letters, numeric characters, underscores, and dashes. All characters must use UTF-8 encoding, and international characters are allowed.
  • The key portion of a label must be unique. However, you can use the same key with multiple resources.
  • Keys must start with a lowercase letter or international character. See Google Cloud Document for more details.

map<string, string> labels = 8;

Parameter
NameDescription
keyString
Returns
TypeDescription
boolean

containsParams(String key)

public boolean containsParams(String key)

Additional domain specific parameters for the predictions. Allowed values:

  • returnProduct: Boolean. If set to true, the associated product object will be returned in the results.metadata field in the prediction response.
  • returnScore: Boolean. If set to true, the prediction 'score' corresponding to each returned product will be set in the results.metadata field in the prediction response. The given 'score' indicates the probability of an product being clicked/purchased given the user's context and history.
  • strictFiltering: Boolean. True by default. If set to false, the service will return generic (unfiltered) popular products instead of empty if your filter blocks all prediction results.
  • priceRerankLevel: String. Default empty. If set to be non-empty, then it needs to be one of {'no-price-reranking', 'low-price-reranking', 'medium-price-reranking', 'high-price-reranking'}. This gives request-level control and adjusts prediction results based on product price.
  • diversityLevel: String. Default empty. If set to be non-empty, then it needs to be one of {'no-diversity', 'low-diversity', 'medium-diversity', 'high-diversity', 'auto-diversity'}. This gives request-level control and adjusts prediction results based on product category.

map<string, .google.protobuf.Value> params = 7;

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

getFilter()

public String getFilter()

Filter for restricting prediction results with a length limit of 5,000 characters. Accepts values for tags and the filterOutOfStockItems flag.

  • Tag expressions. Restricts predictions to products 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 1,000 characters. Note: "Recently viewed" models don't support tag filtering at the moment.
  • filterOutOfStockItems. Restricts predictions to products 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 If your filter blocks all prediction results, the API will return generic (unfiltered) popular products. If you only want results strictly matching the filters, set strictFiltering to True in PredictRequest.params to receive empty results instead. Note that the API will never return items with storageStatus of "EXPIRED" or "DELETED" regardless of filter choices.

string filter = 5;

Returns
TypeDescription
String

The filter.

getFilterBytes()

public ByteString getFilterBytes()

Filter for restricting prediction results with a length limit of 5,000 characters. Accepts values for tags and the filterOutOfStockItems flag.

  • Tag expressions. Restricts predictions to products 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 1,000 characters. Note: "Recently viewed" models don't support tag filtering at the moment.
  • filterOutOfStockItems. Restricts predictions to products 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 If your filter blocks all prediction results, the API will return generic (unfiltered) popular products. If you only want results strictly matching the filters, set strictFiltering to True in PredictRequest.params to receive empty results instead. Note that the API will never return items with storageStatus of "EXPIRED" or "DELETED" regardless of filter choices.

string filter = 5;

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()

The labels applied to a resource must meet the following requirements:

  • Each resource can have multiple labels, up to a maximum of 64.
  • Each label must be a key-value pair.
  • Keys have a minimum length of 1 character and a maximum length of 63 characters and cannot be empty. Values can be empty and have a maximum length of 63 characters.
  • Keys and values can contain only lowercase letters, numeric characters, underscores, and dashes. All characters must use UTF-8 encoding, and international characters are allowed.
  • The key portion of a label must be unique. However, you can use the same key with multiple resources.
  • Keys must start with a lowercase letter or international character. See Google Cloud Document for more details.

map<string, string> labels = 8;

Returns
TypeDescription
int

getLabelsMap()

public Map<String,String> getLabelsMap()

The labels applied to a resource must meet the following requirements:

  • Each resource can have multiple labels, up to a maximum of 64.
  • Each label must be a key-value pair.
  • Keys have a minimum length of 1 character and a maximum length of 63 characters and cannot be empty. Values can be empty and have a maximum length of 63 characters.
  • Keys and values can contain only lowercase letters, numeric characters, underscores, and dashes. All characters must use UTF-8 encoding, and international characters are allowed.
  • The key portion of a label must be unique. However, you can use the same key with multiple resources.
  • Keys must start with a lowercase letter or international character. See Google Cloud Document for more details.

map<string, string> labels = 8;

Returns
TypeDescription
Map<String,String>

getLabelsOrDefault(String key, String defaultValue)

public String getLabelsOrDefault(String key, String defaultValue)

The labels applied to a resource must meet the following requirements:

  • Each resource can have multiple labels, up to a maximum of 64.
  • Each label must be a key-value pair.
  • Keys have a minimum length of 1 character and a maximum length of 63 characters and cannot be empty. Values can be empty and have a maximum length of 63 characters.
  • Keys and values can contain only lowercase letters, numeric characters, underscores, and dashes. All characters must use UTF-8 encoding, and international characters are allowed.
  • The key portion of a label must be unique. However, you can use the same key with multiple resources.
  • Keys must start with a lowercase letter or international character. See Google Cloud Document for more details.

map<string, string> labels = 8;

Parameters
NameDescription
keyString
defaultValueString
Returns
TypeDescription
String

getLabelsOrThrow(String key)

public String getLabelsOrThrow(String key)

The labels applied to a resource must meet the following requirements:

  • Each resource can have multiple labels, up to a maximum of 64.
  • Each label must be a key-value pair.
  • Keys have a minimum length of 1 character and a maximum length of 63 characters and cannot be empty. Values can be empty and have a maximum length of 63 characters.
  • Keys and values can contain only lowercase letters, numeric characters, underscores, and dashes. All characters must use UTF-8 encoding, and international characters are allowed.
  • The key portion of a label must be unique. However, you can use the same key with multiple resources.
  • Keys must start with a lowercase letter or international character. See Google Cloud Document for more details.

map<string, string> labels = 8;

Parameter
NameDescription
keyString
Returns
TypeDescription
String

getPageSize()

public int getPageSize()

Maximum number of results to return per page. Set this property to the number of prediction results needed. If zero, the service will choose a reasonable default. The maximum allowed value is 100. Values above 100 will be coerced to 100.

int32 page_size = 3;

Returns
TypeDescription
int

The pageSize.

getPageToken()

public String getPageToken()

The previous PredictResponse.next_page_token.

string page_token = 4;

Returns
TypeDescription
String

The pageToken.

getPageTokenBytes()

public ByteString getPageTokenBytes()

The previous PredictResponse.next_page_token.

string page_token = 4;

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()

Additional domain specific parameters for the predictions. Allowed values:

  • returnProduct: Boolean. If set to true, the associated product object will be returned in the results.metadata field in the prediction response.
  • returnScore: Boolean. If set to true, the prediction 'score' corresponding to each returned product will be set in the results.metadata field in the prediction response. The given 'score' indicates the probability of an product being clicked/purchased given the user's context and history.
  • strictFiltering: Boolean. True by default. If set to false, the service will return generic (unfiltered) popular products instead of empty if your filter blocks all prediction results.
  • priceRerankLevel: String. Default empty. If set to be non-empty, then it needs to be one of {'no-price-reranking', 'low-price-reranking', 'medium-price-reranking', 'high-price-reranking'}. This gives request-level control and adjusts prediction results based on product price.
  • diversityLevel: String. Default empty. If set to be non-empty, then it needs to be one of {'no-diversity', 'low-diversity', 'medium-diversity', 'high-diversity', 'auto-diversity'}. This gives request-level control and adjusts prediction results based on product category.

map<string, .google.protobuf.Value> params = 7;

Returns
TypeDescription
int

getParamsMap()

public Map<String,Value> getParamsMap()

Additional domain specific parameters for the predictions. Allowed values:

  • returnProduct: Boolean. If set to true, the associated product object will be returned in the results.metadata field in the prediction response.
  • returnScore: Boolean. If set to true, the prediction 'score' corresponding to each returned product will be set in the results.metadata field in the prediction response. The given 'score' indicates the probability of an product being clicked/purchased given the user's context and history.
  • strictFiltering: Boolean. True by default. If set to false, the service will return generic (unfiltered) popular products instead of empty if your filter blocks all prediction results.
  • priceRerankLevel: String. Default empty. If set to be non-empty, then it needs to be one of {'no-price-reranking', 'low-price-reranking', 'medium-price-reranking', 'high-price-reranking'}. This gives request-level control and adjusts prediction results based on product price.
  • diversityLevel: String. Default empty. If set to be non-empty, then it needs to be one of {'no-diversity', 'low-diversity', 'medium-diversity', 'high-diversity', 'auto-diversity'}. This gives request-level control and adjusts prediction results based on product category.

map<string, .google.protobuf.Value> params = 7;

Returns
TypeDescription
Map<String,Value>

getParamsOrDefault(String key, Value defaultValue)

public Value getParamsOrDefault(String key, Value defaultValue)

Additional domain specific parameters for the predictions. Allowed values:

  • returnProduct: Boolean. If set to true, the associated product object will be returned in the results.metadata field in the prediction response.
  • returnScore: Boolean. If set to true, the prediction 'score' corresponding to each returned product will be set in the results.metadata field in the prediction response. The given 'score' indicates the probability of an product being clicked/purchased given the user's context and history.
  • strictFiltering: Boolean. True by default. If set to false, the service will return generic (unfiltered) popular products instead of empty if your filter blocks all prediction results.
  • priceRerankLevel: String. Default empty. If set to be non-empty, then it needs to be one of {'no-price-reranking', 'low-price-reranking', 'medium-price-reranking', 'high-price-reranking'}. This gives request-level control and adjusts prediction results based on product price.
  • diversityLevel: String. Default empty. If set to be non-empty, then it needs to be one of {'no-diversity', 'low-diversity', 'medium-diversity', 'high-diversity', 'auto-diversity'}. This gives request-level control and adjusts prediction results based on product category.

map<string, .google.protobuf.Value> params = 7;

Parameters
NameDescription
keyString
defaultValueValue
Returns
TypeDescription
Value

getParamsOrThrow(String key)

public Value getParamsOrThrow(String key)

Additional domain specific parameters for the predictions. Allowed values:

  • returnProduct: Boolean. If set to true, the associated product object will be returned in the results.metadata field in the prediction response.
  • returnScore: Boolean. If set to true, the prediction 'score' corresponding to each returned product will be set in the results.metadata field in the prediction response. The given 'score' indicates the probability of an product being clicked/purchased given the user's context and history.
  • strictFiltering: Boolean. True by default. If set to false, the service will return generic (unfiltered) popular products instead of empty if your filter blocks all prediction results.
  • priceRerankLevel: String. Default empty. If set to be non-empty, then it needs to be one of {'no-price-reranking', 'low-price-reranking', 'medium-price-reranking', 'high-price-reranking'}. This gives request-level control and adjusts prediction results based on product price.
  • diversityLevel: String. Default empty. If set to be non-empty, then it needs to be one of {'no-diversity', 'low-diversity', 'medium-diversity', 'high-diversity', 'auto-diversity'}. This gives request-level control and adjusts prediction results based on product category.

map<string, .google.protobuf.Value> params = 7;

Parameter
NameDescription
keyString
Returns
TypeDescription
Value

getParserForType()

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

getPlacement()

public String getPlacement()

Required. Full resource name of the format: {name=projects/*/locations/global/catalogs/default_catalog/placements/*} The ID of the Recommendations AI placement. Before you can request predictions from your model, you must create at least one placement for it. For more information, see Managing placements. The full list of available placements can be seen at https://console.cloud.google.com/recommendation/catalogs/default_catalog/placements

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

Returns
TypeDescription
String

The placement.

getPlacementBytes()

public ByteString getPlacementBytes()

Required. Full resource name of the format: {name=projects/*/locations/global/catalogs/default_catalog/placements/*} The ID of the Recommendations AI placement. Before you can request predictions from your model, you must create at least one placement for it. For more information, see Managing placements. The full list of available placements can be seen at https://console.cloud.google.com/recommendation/catalogs/default_catalog/placements

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

Returns
TypeDescription
ByteString

The bytes for placement.

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. Don't set UserEvent.visitor_id or UserInfo.user_id to the same fixed ID for different users. If you are trying to receive non-personalized recommendations (not recommended; this can negatively impact model performance), instead set UserEvent.visitor_id to a random unique ID and leave UserInfo.user_id unset.

.google.cloud.retail.v2.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. Don't set UserEvent.visitor_id or UserInfo.user_id to the same fixed ID for different users. If you are trying to receive non-personalized recommendations (not recommended; this can negatively impact model performance), instead set UserEvent.visitor_id to a random unique ID and leave UserInfo.user_id unset.

.google.cloud.retail.v2.UserEvent user_event = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
TypeDescription
UserEventOrBuilder

getValidateOnly()

public boolean getValidateOnly()

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

bool validate_only = 6;

Returns
TypeDescription
boolean

The validateOnly.

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. Don't set UserEvent.visitor_id or UserInfo.user_id to the same fixed ID for different users. If you are trying to receive non-personalized recommendations (not recommended; this can negatively impact model performance), instead set UserEvent.visitor_id to a random unique ID and leave UserInfo.user_id unset.

.google.cloud.retail.v2.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