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public static final class PredictRequest.Builder extends GeneratedMessageV3.Builder<PredictRequest.Builder> implements PredictRequestOrBuilder
Request message for Predict method.
Protobuf type google.cloud.retail.v2.PredictRequest
Inheritance
Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > PredictRequest.BuilderImplements
PredictRequestOrBuilderStatic Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Type | Description |
Descriptor |
Methods
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public PredictRequest.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Name | Description |
field | FieldDescriptor |
value | Object |
Type | Description |
PredictRequest.Builder |
build()
public PredictRequest build()
Type | Description |
PredictRequest |
buildPartial()
public PredictRequest buildPartial()
Type | Description |
PredictRequest |
clear()
public PredictRequest.Builder clear()
Type | Description |
PredictRequest.Builder |
clearField(Descriptors.FieldDescriptor field)
public PredictRequest.Builder clearField(Descriptors.FieldDescriptor field)
Name | Description |
field | FieldDescriptor |
Type | Description |
PredictRequest.Builder |
clearFilter()
public PredictRequest.Builder clearFilter()
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
andNOT
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 toNOT "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 inPredictRequest.params
to receive empty results instead. Note that the API will never return items with storageStatus of "EXPIRED" or "DELETED" regardless of filter choices. IffilterSyntaxV2
is set to true under theparams
field, then attribute-based expressions are expected instead of the above described tag-based syntax. Examples: - (colors: ANY("Red", "Blue")) AND NOT (categories: ANY("Phones"))
- (availability: ANY("IN_STOCK")) AND (colors: ANY("Red") OR categories: ANY("Phones"))
string filter = 5;
Type | Description |
PredictRequest.Builder | This builder for chaining. |
clearLabels()
public PredictRequest.Builder clearLabels()
Type | Description |
PredictRequest.Builder |
clearOneof(Descriptors.OneofDescriptor oneof)
public PredictRequest.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Name | Description |
oneof | OneofDescriptor |
Type | Description |
PredictRequest.Builder |
clearPageSize()
public PredictRequest.Builder clearPageSize()
Maximum number of results to return. 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;
Type | Description |
PredictRequest.Builder | This builder for chaining. |
clearPageToken() (deprecated)
public PredictRequest.Builder clearPageToken()
Deprecated. google.cloud.retail.v2.PredictRequest.page_token is deprecated. See google/cloud/retail/v2/prediction_service.proto;l=93
This field is not used; leave it unset.
string page_token = 4 [deprecated = true];
Type | Description |
PredictRequest.Builder | This builder for chaining. |
clearParams()
public PredictRequest.Builder clearParams()
Type | Description |
PredictRequest.Builder |
clearPlacement()
public PredictRequest.Builder clearPlacement()
Required. Full resource name of the format:
{placement=projects/*/locations/global/catalogs/default_catalog/servingConfigs/*}
or
{placement=projects/*/locations/global/catalogs/default_catalog/placements/*}
.
We recommend using the servingConfigs
resource. placements
is a legacy
resource.
The ID of the Recommendations AI serving config or placement.
Before you can request predictions from your model, you must create at
least one serving config or placement for it. For more information, see
Managing serving configurations.
The full list of available serving configs can be seen at
https://console.cloud.google.com/ai/retail/catalogs/default_catalog/configs
string placement = 1 [(.google.api.field_behavior) = REQUIRED];
Type | Description |
PredictRequest.Builder | This builder for chaining. |
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. 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];
Type | Description |
PredictRequest.Builder |
clearValidateOnly()
public PredictRequest.Builder clearValidateOnly()
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;
Type | Description |
PredictRequest.Builder | This builder for chaining. |
clone()
public PredictRequest.Builder clone()
Type | Description |
PredictRequest.Builder |
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;
Name | Description |
key | String |
Type | Description |
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 theresults.metadata
field in the prediction response.returnScore
: Boolean. If set to true, the prediction 'score' corresponding to each returned product will be set in theresults.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.filterSyntaxV2
: Boolean. False by default. If set to true, thefilter
field is interpreteted according to the new, attribute-based syntax.
map<string, .google.protobuf.Value> params = 7;
Name | Description |
key | String |
Type | Description |
boolean |
getDefaultInstanceForType()
public PredictRequest getDefaultInstanceForType()
Type | Description |
PredictRequest |
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()
Type | Description |
Descriptor |
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
andNOT
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 toNOT "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 inPredictRequest.params
to receive empty results instead. Note that the API will never return items with storageStatus of "EXPIRED" or "DELETED" regardless of filter choices. IffilterSyntaxV2
is set to true under theparams
field, then attribute-based expressions are expected instead of the above described tag-based syntax. Examples: - (colors: ANY("Red", "Blue")) AND NOT (categories: ANY("Phones"))
- (availability: ANY("IN_STOCK")) AND (colors: ANY("Red") OR categories: ANY("Phones"))
string filter = 5;
Type | Description |
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
andNOT
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 toNOT "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 inPredictRequest.params
to receive empty results instead. Note that the API will never return items with storageStatus of "EXPIRED" or "DELETED" regardless of filter choices. IffilterSyntaxV2
is set to true under theparams
field, then attribute-based expressions are expected instead of the above described tag-based syntax. Examples: - (colors: ANY("Red", "Blue")) AND NOT (categories: ANY("Phones"))
- (availability: ANY("IN_STOCK")) AND (colors: ANY("Red") OR categories: ANY("Phones"))
string filter = 5;
Type | Description |
ByteString | The bytes for filter. |
getLabels()
public Map<String,String> getLabels()
Use #getLabelsMap() instead.
Type | Description |
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;
Type | Description |
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;
Type | Description |
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;
Name | Description |
key | String |
defaultValue | String |
Type | Description |
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;
Name | Description |
key | String |
Type | Description |
String |
getMutableLabels()
public Map<String,String> getMutableLabels()
Use alternate mutation accessors instead.
Type | Description |
Map<String,String> |
getMutableParams()
public Map<String,Value> getMutableParams()
Use alternate mutation accessors instead.
Type | Description |
Map<String,Value> |
getPageSize()
public int getPageSize()
Maximum number of results to return. 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;
Type | Description |
int | The pageSize. |
getPageToken() (deprecated)
public String getPageToken()
Deprecated. google.cloud.retail.v2.PredictRequest.page_token is deprecated. See google/cloud/retail/v2/prediction_service.proto;l=93
This field is not used; leave it unset.
string page_token = 4 [deprecated = true];
Type | Description |
String | The pageToken. |
getPageTokenBytes() (deprecated)
public ByteString getPageTokenBytes()
Deprecated. google.cloud.retail.v2.PredictRequest.page_token is deprecated. See google/cloud/retail/v2/prediction_service.proto;l=93
This field is not used; leave it unset.
string page_token = 4 [deprecated = true];
Type | Description |
ByteString | The bytes for pageToken. |
getParams()
public Map<String,Value> getParams()
Use #getParamsMap() instead.
Type | Description |
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 theresults.metadata
field in the prediction response.returnScore
: Boolean. If set to true, the prediction 'score' corresponding to each returned product will be set in theresults.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.filterSyntaxV2
: Boolean. False by default. If set to true, thefilter
field is interpreteted according to the new, attribute-based syntax.
map<string, .google.protobuf.Value> params = 7;
Type | Description |
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 theresults.metadata
field in the prediction response.returnScore
: Boolean. If set to true, the prediction 'score' corresponding to each returned product will be set in theresults.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.filterSyntaxV2
: Boolean. False by default. If set to true, thefilter
field is interpreteted according to the new, attribute-based syntax.
map<string, .google.protobuf.Value> params = 7;
Type | Description |
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 theresults.metadata
field in the prediction response.returnScore
: Boolean. If set to true, the prediction 'score' corresponding to each returned product will be set in theresults.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.filterSyntaxV2
: Boolean. False by default. If set to true, thefilter
field is interpreteted according to the new, attribute-based syntax.
map<string, .google.protobuf.Value> params = 7;
Name | Description |
key | String |
defaultValue | Value |
Type | Description |
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 theresults.metadata
field in the prediction response.returnScore
: Boolean. If set to true, the prediction 'score' corresponding to each returned product will be set in theresults.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.filterSyntaxV2
: Boolean. False by default. If set to true, thefilter
field is interpreteted according to the new, attribute-based syntax.
map<string, .google.protobuf.Value> params = 7;
Name | Description |
key | String |
Type | Description |
Value |
getPlacement()
public String getPlacement()
Required. Full resource name of the format:
{placement=projects/*/locations/global/catalogs/default_catalog/servingConfigs/*}
or
{placement=projects/*/locations/global/catalogs/default_catalog/placements/*}
.
We recommend using the servingConfigs
resource. placements
is a legacy
resource.
The ID of the Recommendations AI serving config or placement.
Before you can request predictions from your model, you must create at
least one serving config or placement for it. For more information, see
Managing serving configurations.
The full list of available serving configs can be seen at
https://console.cloud.google.com/ai/retail/catalogs/default_catalog/configs
string placement = 1 [(.google.api.field_behavior) = REQUIRED];
Type | Description |
String | The placement. |
getPlacementBytes()
public ByteString getPlacementBytes()
Required. Full resource name of the format:
{placement=projects/*/locations/global/catalogs/default_catalog/servingConfigs/*}
or
{placement=projects/*/locations/global/catalogs/default_catalog/placements/*}
.
We recommend using the servingConfigs
resource. placements
is a legacy
resource.
The ID of the Recommendations AI serving config or placement.
Before you can request predictions from your model, you must create at
least one serving config or placement for it. For more information, see
Managing serving configurations.
The full list of available serving configs can be seen at
https://console.cloud.google.com/ai/retail/catalogs/default_catalog/configs
string placement = 1 [(.google.api.field_behavior) = REQUIRED];
Type | Description |
ByteString | The bytes for placement. |
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];
Type | Description |
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. 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];
Type | Description |
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. 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];
Type | Description |
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;
Type | Description |
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];
Type | Description |
boolean | Whether the userEvent field is set. |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Type | Description |
FieldAccessorTable |
internalGetMapField(int number)
protected MapField internalGetMapField(int number)
Name | Description |
number | int |
Type | Description |
MapField |
internalGetMutableMapField(int number)
protected MapField internalGetMutableMapField(int number)
Name | Description |
number | int |
Type | Description |
MapField |
isInitialized()
public final boolean isInitialized()
Type | Description |
boolean |
mergeFrom(PredictRequest other)
public PredictRequest.Builder mergeFrom(PredictRequest other)
Name | Description |
other | PredictRequest |
Type | Description |
PredictRequest.Builder |
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public PredictRequest.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Name | Description |
input | CodedInputStream |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
PredictRequest.Builder |
Type | Description |
IOException |
mergeFrom(Message other)
public PredictRequest.Builder mergeFrom(Message other)
Name | Description |
other | Message |
Type | Description |
PredictRequest.Builder |
mergeUnknownFields(UnknownFieldSet unknownFields)
public final PredictRequest.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Name | Description |
unknownFields | UnknownFieldSet |
Type | Description |
PredictRequest.Builder |
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. 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];
Name | Description |
value | UserEvent |
Type | Description |
PredictRequest.Builder |
putAllLabels(Map<String,String> values)
public PredictRequest.Builder putAllLabels(Map<String,String> values)
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;
Name | Description |
values | Map<String,String> |
Type | Description |
PredictRequest.Builder |
putAllParams(Map<String,Value> values)
public PredictRequest.Builder putAllParams(Map<String,Value> values)
Additional domain specific parameters for the predictions. Allowed values:
returnProduct
: Boolean. If set to true, the associated product object will be returned in theresults.metadata
field in the prediction response.returnScore
: Boolean. If set to true, the prediction 'score' corresponding to each returned product will be set in theresults.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.filterSyntaxV2
: Boolean. False by default. If set to true, thefilter
field is interpreteted according to the new, attribute-based syntax.
map<string, .google.protobuf.Value> params = 7;
Name | Description |
values | Map<String,Value> |
Type | Description |
PredictRequest.Builder |
putLabels(String key, String value)
public PredictRequest.Builder putLabels(String key, String value)
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;
Name | Description |
key | String |
value | String |
Type | Description |
PredictRequest.Builder |
putParams(String key, Value value)
public PredictRequest.Builder putParams(String key, Value value)
Additional domain specific parameters for the predictions. Allowed values:
returnProduct
: Boolean. If set to true, the associated product object will be returned in theresults.metadata
field in the prediction response.returnScore
: Boolean. If set to true, the prediction 'score' corresponding to each returned product will be set in theresults.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.filterSyntaxV2
: Boolean. False by default. If set to true, thefilter
field is interpreteted according to the new, attribute-based syntax.
map<string, .google.protobuf.Value> params = 7;
Name | Description |
key | String |
value | Value |
Type | Description |
PredictRequest.Builder |
removeLabels(String key)
public PredictRequest.Builder removeLabels(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;
Name | Description |
key | String |
Type | Description |
PredictRequest.Builder |
removeParams(String key)
public PredictRequest.Builder removeParams(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 theresults.metadata
field in the prediction response.returnScore
: Boolean. If set to true, the prediction 'score' corresponding to each returned product will be set in theresults.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.filterSyntaxV2
: Boolean. False by default. If set to true, thefilter
field is interpreteted according to the new, attribute-based syntax.
map<string, .google.protobuf.Value> params = 7;
Name | Description |
key | String |
Type | Description |
PredictRequest.Builder |
setField(Descriptors.FieldDescriptor field, Object value)
public PredictRequest.Builder setField(Descriptors.FieldDescriptor field, Object value)
Name | Description |
field | FieldDescriptor |
value | Object |
Type | Description |
PredictRequest.Builder |
setFilter(String value)
public PredictRequest.Builder setFilter(String value)
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
andNOT
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 toNOT "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 inPredictRequest.params
to receive empty results instead. Note that the API will never return items with storageStatus of "EXPIRED" or "DELETED" regardless of filter choices. IffilterSyntaxV2
is set to true under theparams
field, then attribute-based expressions are expected instead of the above described tag-based syntax. Examples: - (colors: ANY("Red", "Blue")) AND NOT (categories: ANY("Phones"))
- (availability: ANY("IN_STOCK")) AND (colors: ANY("Red") OR categories: ANY("Phones"))
string filter = 5;
Name | Description |
value | String The filter to set. |
Type | Description |
PredictRequest.Builder | This builder for chaining. |
setFilterBytes(ByteString value)
public PredictRequest.Builder setFilterBytes(ByteString value)
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
andNOT
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 toNOT "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 inPredictRequest.params
to receive empty results instead. Note that the API will never return items with storageStatus of "EXPIRED" or "DELETED" regardless of filter choices. IffilterSyntaxV2
is set to true under theparams
field, then attribute-based expressions are expected instead of the above described tag-based syntax. Examples: - (colors: ANY("Red", "Blue")) AND NOT (categories: ANY("Phones"))
- (availability: ANY("IN_STOCK")) AND (colors: ANY("Red") OR categories: ANY("Phones"))
string filter = 5;
Name | Description |
value | ByteString The bytes for filter to set. |
Type | Description |
PredictRequest.Builder | This builder for chaining. |
setPageSize(int value)
public PredictRequest.Builder setPageSize(int value)
Maximum number of results to return. 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;
Name | Description |
value | int The pageSize to set. |
Type | Description |
PredictRequest.Builder | This builder for chaining. |
setPageToken(String value) (deprecated)
public PredictRequest.Builder setPageToken(String value)
Deprecated. google.cloud.retail.v2.PredictRequest.page_token is deprecated. See google/cloud/retail/v2/prediction_service.proto;l=93
This field is not used; leave it unset.
string page_token = 4 [deprecated = true];
Name | Description |
value | String The pageToken to set. |
Type | Description |
PredictRequest.Builder | This builder for chaining. |
setPageTokenBytes(ByteString value) (deprecated)
public PredictRequest.Builder setPageTokenBytes(ByteString value)
Deprecated. google.cloud.retail.v2.PredictRequest.page_token is deprecated. See google/cloud/retail/v2/prediction_service.proto;l=93
This field is not used; leave it unset.
string page_token = 4 [deprecated = true];
Name | Description |
value | ByteString The bytes for pageToken to set. |
Type | Description |
PredictRequest.Builder | This builder for chaining. |
setPlacement(String value)
public PredictRequest.Builder setPlacement(String value)
Required. Full resource name of the format:
{placement=projects/*/locations/global/catalogs/default_catalog/servingConfigs/*}
or
{placement=projects/*/locations/global/catalogs/default_catalog/placements/*}
.
We recommend using the servingConfigs
resource. placements
is a legacy
resource.
The ID of the Recommendations AI serving config or placement.
Before you can request predictions from your model, you must create at
least one serving config or placement for it. For more information, see
Managing serving configurations.
The full list of available serving configs can be seen at
https://console.cloud.google.com/ai/retail/catalogs/default_catalog/configs
string placement = 1 [(.google.api.field_behavior) = REQUIRED];
Name | Description |
value | String The placement to set. |
Type | Description |
PredictRequest.Builder | This builder for chaining. |
setPlacementBytes(ByteString value)
public PredictRequest.Builder setPlacementBytes(ByteString value)
Required. Full resource name of the format:
{placement=projects/*/locations/global/catalogs/default_catalog/servingConfigs/*}
or
{placement=projects/*/locations/global/catalogs/default_catalog/placements/*}
.
We recommend using the servingConfigs
resource. placements
is a legacy
resource.
The ID of the Recommendations AI serving config or placement.
Before you can request predictions from your model, you must create at
least one serving config or placement for it. For more information, see
Managing serving configurations.
The full list of available serving configs can be seen at
https://console.cloud.google.com/ai/retail/catalogs/default_catalog/configs
string placement = 1 [(.google.api.field_behavior) = REQUIRED];
Name | Description |
value | ByteString The bytes for placement to set. |
Type | Description |
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)
Name | Description |
field | FieldDescriptor |
index | int |
value | Object |
Type | Description |
PredictRequest.Builder |
setUnknownFields(UnknownFieldSet unknownFields)
public final PredictRequest.Builder setUnknownFields(UnknownFieldSet unknownFields)
Name | Description |
unknownFields | UnknownFieldSet |
Type | Description |
PredictRequest.Builder |
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. 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];
Name | Description |
value | UserEvent |
Type | Description |
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. 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];
Name | Description |
builderForValue | UserEvent.Builder |
Type | Description |
PredictRequest.Builder |
setValidateOnly(boolean value)
public PredictRequest.Builder setValidateOnly(boolean value)
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;
Name | Description |
value | boolean The validateOnly to set. |
Type | Description |
PredictRequest.Builder | This builder for chaining. |