public final class PredictRequest extends GeneratedMessageV3 implements PredictRequestOrBuilder
Request message for Predict method.
Protobuf type google.cloud.retail.v2alpha.PredictRequest
Static Fields
FILTER_FIELD_NUMBER
public static final int FILTER_FIELD_NUMBER
| Field Value |
|---|
| Type | Description |
int | |
LABELS_FIELD_NUMBER
public static final int LABELS_FIELD_NUMBER
| Field Value |
|---|
| Type | Description |
int | |
PAGE_SIZE_FIELD_NUMBER
public static final int PAGE_SIZE_FIELD_NUMBER
| Field Value |
|---|
| Type | Description |
int | |
PAGE_TOKEN_FIELD_NUMBER
public static final int PAGE_TOKEN_FIELD_NUMBER
| Field Value |
|---|
| Type | Description |
int | |
PARAMS_FIELD_NUMBER
public static final int PARAMS_FIELD_NUMBER
| Field Value |
|---|
| Type | Description |
int | |
PLACEMENT_FIELD_NUMBER
public static final int PLACEMENT_FIELD_NUMBER
| Field Value |
|---|
| Type | Description |
int | |
USER_EVENT_FIELD_NUMBER
public static final int USER_EVENT_FIELD_NUMBER
| Field Value |
|---|
| Type | Description |
int | |
VALIDATE_ONLY_FIELD_NUMBER
public static final int VALIDATE_ONLY_FIELD_NUMBER
| Field Value |
|---|
| Type | Description |
int | |
Static Methods
getDefaultInstance()
public static PredictRequest getDefaultInstance()
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
newBuilder()
public static PredictRequest.Builder newBuilder()
newBuilder(PredictRequest prototype)
public static PredictRequest.Builder newBuilder(PredictRequest prototype)
public static PredictRequest parseDelimitedFrom(InputStream input)
public static PredictRequest parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
parseFrom(byte[] data)
public static PredictRequest parseFrom(byte[] data)
| Parameter |
|---|
| Name | Description |
data | byte[]
|
parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
public static PredictRequest parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
parseFrom(ByteString data)
public static PredictRequest parseFrom(ByteString data)
parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
public static PredictRequest parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
public static PredictRequest parseFrom(CodedInputStream input)
public static PredictRequest parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public static PredictRequest parseFrom(InputStream input)
public static PredictRequest parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
parseFrom(ByteBuffer data)
public static PredictRequest parseFrom(ByteBuffer data)
parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
public static PredictRequest parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
parser()
public static Parser<PredictRequest> parser()
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 |
|---|
| Name | Description |
key | String
|
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 a 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, the filter
field is interpreteted according to the new, attribute-based syntax.
map<string, .google.protobuf.Value> params = 7;
| Parameter |
|---|
| Name | Description |
key | String
|
equals(Object obj)
public boolean equals(Object obj)
| Parameter |
|---|
| Name | Description |
obj | Object
|
Overrides
getDefaultInstanceForType()
public PredictRequest getDefaultInstanceForType()
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 no
results. If instead you want empty result sets to return generic
(unfiltered) popular products, set
strictFiltering to False in
PredictRequest.params. Note that the API will never return items with
storageStatus of "EXPIRED" or "DELETED" regardless of filter choices.
If filterSyntaxV2 is set to true under the params 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;
| Returns |
|---|
| 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 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 no
results. If instead you want empty result sets to return generic
(unfiltered) popular products, set
strictFiltering to False in
PredictRequest.params. Note that the API will never return items with
storageStatus of "EXPIRED" or "DELETED" regardless of filter choices.
If filterSyntaxV2 is set to true under the params 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;
| Returns |
|---|
| Type | Description |
ByteString | The bytes for filter.
|
getLabels()
public Map<String,String> getLabels()
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 |
|---|
| 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;
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;
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 |
|---|
| Name | Description |
key | String
|
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;
| Returns |
|---|
| Type | Description |
int | The pageSize.
|
getPageToken() (deprecated)
public String getPageToken()
Deprecated. google.cloud.retail.v2alpha.PredictRequest.page_token is deprecated. See
google/cloud/retail/v2alpha/prediction_service.proto;l=94
This field is not used; leave it unset.
string page_token = 4 [deprecated = true];
| Returns |
|---|
| Type | Description |
String | The pageToken.
|
getPageTokenBytes() (deprecated)
public ByteString getPageTokenBytes()
Deprecated. google.cloud.retail.v2alpha.PredictRequest.page_token is deprecated. See
google/cloud/retail/v2alpha/prediction_service.proto;l=94
This field is not used; leave it unset.
string page_token = 4 [deprecated = true];
| Returns |
|---|
| Type | Description |
ByteString | The bytes for pageToken.
|
getParams()
public Map<String,Value> getParams()
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 a 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, the filter
field is interpreteted according to the new, attribute-based syntax.
map<string, .google.protobuf.Value> params = 7;
| Returns |
|---|
| 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 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 a 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, the filter
field is interpreteted according to the new, attribute-based syntax.
map<string, .google.protobuf.Value> params = 7;
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 a 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, the filter
field is interpreteted according to the new, attribute-based syntax.
map<string, .google.protobuf.Value> params = 7;
| Returns |
|---|
| 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 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 a 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, the filter
field is interpreteted according to the new, attribute-based syntax.
map<string, .google.protobuf.Value> params = 7;
| Parameter |
|---|
| Name | Description |
key | String
|
| Returns |
|---|
| Type | Description |
Value | |
getParserForType()
public Parser<PredictRequest> getParserForType()
Overrides
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
Manage serving configs.
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];
| Returns |
|---|
| 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
Manage serving configs.
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];
| Returns |
|---|
| Type | Description |
ByteString | The bytes for placement.
|
getSerializedSize()
public int getSerializedSize()
| Returns |
|---|
| Type | Description |
int | |
Overrides
getUnknownFields()
public final UnknownFieldSet getUnknownFields()
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.v2alpha.UserEvent user_event = 2 [(.google.api.field_behavior) = REQUIRED];
| Returns |
|---|
| Type | Description |
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.v2alpha.UserEvent user_event = 2 [(.google.api.field_behavior) = REQUIRED];
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 |
|---|
| 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.v2alpha.UserEvent user_event = 2 [(.google.api.field_behavior) = REQUIRED];
| Returns |
|---|
| Type | Description |
boolean | Whether the userEvent field is set.
|
hashCode()
| Returns |
|---|
| Type | Description |
int | |
Overrides
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Overrides
internalGetMapField(int number)
protected MapField internalGetMapField(int number)
| Parameter |
|---|
| Name | Description |
number | int
|
Overrides
isInitialized()
public final boolean isInitialized()
Overrides
newBuilderForType()
public PredictRequest.Builder newBuilderForType()
newBuilderForType(GeneratedMessageV3.BuilderParent parent)
protected PredictRequest.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Overrides
newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Overrides
toBuilder()
public PredictRequest.Builder toBuilder()
writeTo(CodedOutputStream output)
public void writeTo(CodedOutputStream output)
Overrides
