public final class PredictRequest extends GeneratedMessageV3 implements PredictRequestOrBuilder
Request message for Predict method.
Protobuf type google.cloud.recommendationengine.v1beta1.PredictRequest
Static Fields
DRY_RUN_FIELD_NUMBER
public static final int DRY_RUN_FIELD_NUMBER
Field Value
FILTER_FIELD_NUMBER
public static final int FILTER_FIELD_NUMBER
Field Value
LABELS_FIELD_NUMBER
public static final int LABELS_FIELD_NUMBER
Field Value
NAME_FIELD_NUMBER
public static final int NAME_FIELD_NUMBER
Field Value
PAGE_SIZE_FIELD_NUMBER
public static final int PAGE_SIZE_FIELD_NUMBER
Field Value
PAGE_TOKEN_FIELD_NUMBER
public static final int PAGE_TOKEN_FIELD_NUMBER
Field Value
PARAMS_FIELD_NUMBER
public static final int PARAMS_FIELD_NUMBER
Field Value
USER_EVENT_FIELD_NUMBER
public static final int USER_EVENT_FIELD_NUMBER
Field Value
Static Methods
getDefaultInstance()
public static PredictRequest getDefaultInstance()
Returns
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
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newBuilder()
public static PredictRequest.Builder newBuilder()
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newBuilder(PredictRequest prototype)
public static PredictRequest.Builder newBuilder(PredictRequest prototype)
Parameter
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public static PredictRequest parseDelimitedFrom(InputStream input)
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Exceptions
public static PredictRequest parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
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Exceptions
parseFrom(byte[] data)
public static PredictRequest parseFrom(byte[] data)
Parameter
| Name | Description |
| data | byte[]
|
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Exceptions
parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
public static PredictRequest parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Parameters
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Exceptions
parseFrom(ByteString data)
public static PredictRequest parseFrom(ByteString data)
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Exceptions
parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
public static PredictRequest parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
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Exceptions
public static PredictRequest parseFrom(CodedInputStream input)
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Exceptions
public static PredictRequest parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
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Exceptions
public static PredictRequest parseFrom(InputStream input)
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Exceptions
public static PredictRequest parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
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Exceptions
parseFrom(ByteBuffer data)
public static PredictRequest parseFrom(ByteBuffer data)
Parameter
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Exceptions
parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
public static PredictRequest parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Parameters
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Exceptions
parser()
public static Parser<PredictRequest> parser()
Returns
Methods
containsLabels(String key)
public boolean containsLabels(String key)
Optional. The labels for the predict request.
- Label keys can contain lowercase letters, digits and hyphens, must start
with a letter, and must end with a letter or digit.
- Non-zero label values can contain lowercase letters, digits and hyphens,
must start with a letter, and must end with a letter or digit.
- No more than 64 labels can be associated with a given request.
See https://goo.gl/xmQnxf for more information on and examples of labels.
map<string, string> labels = 9 [(.google.api.field_behavior) = OPTIONAL];
containsParams(String key)
public boolean containsParams(String key)
Optional. Additional domain specific parameters for the predictions.
Allowed values:
returnCatalogItem: Boolean. If set to true, the associated catalogItem
object will be returned in the
PredictResponse.PredictionResult.itemMetadata object in the method
response.returnItemScore: Boolean. If set to true, the prediction 'score'
corresponding to each returned item will be set in the metadata
field in the prediction response. The given 'score' indicates the
probability of an item being clicked/purchased given the user's context
and history.
map<string, .google.protobuf.Value> params = 6 [(.google.api.field_behavior) = OPTIONAL];
equals(Object obj)
public boolean equals(Object obj)
Parameter
Returns
Overrides
getDefaultInstanceForType()
public PredictRequest getDefaultInstanceForType()
Returns
getDryRun()
public boolean getDryRun()
Optional. Use dryRun mode for this prediction query. If set to true, a
dummy model will be used that returns arbitrary catalog items.
Note that the dryRun mode should only be used for testing the API, or if
the model is not ready.
bool dry_run = 4 [(.google.api.field_behavior) = OPTIONAL];
getFilter()
public String getFilter()
Optional. Filter for restricting prediction results. Accepts values for
tags and the filterOutOfStockItems flag.
- Tag expressions. Restricts predictions to items that match all of the
specified tags. Boolean operators
OR and NOT are supported if the
expression is enclosed in parentheses, and must be separated from the
tag values by a space. -"tagA" is also supported and is equivalent to
NOT "tagA". Tag values must be double quoted UTF-8 encoded strings
with a size limit of 1 KiB.
- filterOutOfStockItems. Restricts predictions to items that do not have a
stockState value of OUT_OF_STOCK.
Examples:
- tag=("Red" OR "Blue") tag="New-Arrival" tag=(NOT "promotional")
- filterOutOfStockItems tag=(-"promotional")
- filterOutOfStockItems
string filter = 3 [(.google.api.field_behavior) = OPTIONAL];
| Type | Description |
| String | The filter.
|
getFilterBytes()
public ByteString getFilterBytes()
Optional. Filter for restricting prediction results. Accepts values for
tags and the filterOutOfStockItems flag.
- Tag expressions. Restricts predictions to items that match all of the
specified tags. Boolean operators
OR and NOT are supported if the
expression is enclosed in parentheses, and must be separated from the
tag values by a space. -"tagA" is also supported and is equivalent to
NOT "tagA". Tag values must be double quoted UTF-8 encoded strings
with a size limit of 1 KiB.
- filterOutOfStockItems. Restricts predictions to items that do not have a
stockState value of OUT_OF_STOCK.
Examples:
- tag=("Red" OR "Blue") tag="New-Arrival" tag=(NOT "promotional")
- filterOutOfStockItems tag=(-"promotional")
- filterOutOfStockItems
string filter = 3 [(.google.api.field_behavior) = OPTIONAL];
getLabels()
public Map<String,String> getLabels()
Returns
getLabelsCount()
public int getLabelsCount()
Optional. The labels for the predict request.
- Label keys can contain lowercase letters, digits and hyphens, must start
with a letter, and must end with a letter or digit.
- Non-zero label values can contain lowercase letters, digits and hyphens,
must start with a letter, and must end with a letter or digit.
- No more than 64 labels can be associated with a given request.
See https://goo.gl/xmQnxf for more information on and examples of labels.
map<string, string> labels = 9 [(.google.api.field_behavior) = OPTIONAL];
getLabelsMap()
public Map<String,String> getLabelsMap()
Optional. The labels for the predict request.
- Label keys can contain lowercase letters, digits and hyphens, must start
with a letter, and must end with a letter or digit.
- Non-zero label values can contain lowercase letters, digits and hyphens,
must start with a letter, and must end with a letter or digit.
- No more than 64 labels can be associated with a given request.
See https://goo.gl/xmQnxf for more information on and examples of labels.
map<string, string> labels = 9 [(.google.api.field_behavior) = OPTIONAL];
getLabelsOrDefault(String key, String defaultValue)
public String getLabelsOrDefault(String key, String defaultValue)
Optional. The labels for the predict request.
- Label keys can contain lowercase letters, digits and hyphens, must start
with a letter, and must end with a letter or digit.
- Non-zero label values can contain lowercase letters, digits and hyphens,
must start with a letter, and must end with a letter or digit.
- No more than 64 labels can be associated with a given request.
See https://goo.gl/xmQnxf for more information on and examples of labels.
map<string, string> labels = 9 [(.google.api.field_behavior) = OPTIONAL];
getLabelsOrThrow(String key)
public String getLabelsOrThrow(String key)
Optional. The labels for the predict request.
- Label keys can contain lowercase letters, digits and hyphens, must start
with a letter, and must end with a letter or digit.
- Non-zero label values can contain lowercase letters, digits and hyphens,
must start with a letter, and must end with a letter or digit.
- No more than 64 labels can be associated with a given request.
See https://goo.gl/xmQnxf for more information on and examples of labels.
map<string, string> labels = 9 [(.google.api.field_behavior) = OPTIONAL];
getName()
Required. Full resource name of the format:
{name=projects/*/locations/global/catalogs/default_catalog/eventStores/default_event_store/placements/*}
The id of the recommendation engine placement. This id is used to identify
the set of models that will be used to make the prediction.
We currently support three placements with the following IDs by default:
shopping_cart: Predicts items frequently bought together with one or
more catalog items in the same shopping session. Commonly displayed after
add-to-cart events, on product detail pages, or on the shopping cart
page.home_page: Predicts the next product that a user will most likely
engage with or purchase based on the shopping or viewing history of the
specified userId or visitorId. For example - Recommendations for you.product_detail: Predicts the next product that a user will most likely
engage with or purchase. The prediction is based on the shopping or
viewing history of the specified userId or visitorId and its
relevance to a specified CatalogItem. Typically used on product detail
pages. For example - More items like this.recently_viewed_default: Returns up to 75 items recently viewed by the
specified userId or visitorId, most recent ones first. Returns
nothing if neither of them has viewed any items yet. For example -
Recently viewed.
The full list of available placements can be seen at
https://console.cloud.google.com/recommendation/datafeeds/default_catalog/dashboard
string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
| Type | Description |
| String | The name.
|
getNameBytes()
public ByteString getNameBytes()
Required. Full resource name of the format:
{name=projects/*/locations/global/catalogs/default_catalog/eventStores/default_event_store/placements/*}
The id of the recommendation engine placement. This id is used to identify
the set of models that will be used to make the prediction.
We currently support three placements with the following IDs by default:
shopping_cart: Predicts items frequently bought together with one or
more catalog items in the same shopping session. Commonly displayed after
add-to-cart events, on product detail pages, or on the shopping cart
page.home_page: Predicts the next product that a user will most likely
engage with or purchase based on the shopping or viewing history of the
specified userId or visitorId. For example - Recommendations for you.product_detail: Predicts the next product that a user will most likely
engage with or purchase. The prediction is based on the shopping or
viewing history of the specified userId or visitorId and its
relevance to a specified CatalogItem. Typically used on product detail
pages. For example - More items like this.recently_viewed_default: Returns up to 75 items recently viewed by the
specified userId or visitorId, most recent ones first. Returns
nothing if neither of them has viewed any items yet. For example -
Recently viewed.
The full list of available placements can be seen at
https://console.cloud.google.com/recommendation/datafeeds/default_catalog/dashboard
string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
getPageSize()
Optional. Maximum number of results to return per page. Set this property
to the number of prediction results required. If zero, the service will
choose a reasonable default.
int32 page_size = 7 [(.google.api.field_behavior) = OPTIONAL];
| Type | Description |
| int | The pageSize.
|
getPageToken()
public String getPageToken()
Optional. The previous PredictResponse.next_page_token.
string page_token = 8 [(.google.api.field_behavior) = OPTIONAL];
| Type | Description |
| String | The pageToken.
|
getPageTokenBytes()
public ByteString getPageTokenBytes()
Optional. The previous PredictResponse.next_page_token.
string page_token = 8 [(.google.api.field_behavior) = OPTIONAL];
getParams()
public Map<String,Value> getParams()
Returns
getParamsCount()
public int getParamsCount()
Optional. Additional domain specific parameters for the predictions.
Allowed values:
returnCatalogItem: Boolean. If set to true, the associated catalogItem
object will be returned in the
PredictResponse.PredictionResult.itemMetadata object in the method
response.returnItemScore: Boolean. If set to true, the prediction 'score'
corresponding to each returned item will be set in the metadata
field in the prediction response. The given 'score' indicates the
probability of an item being clicked/purchased given the user's context
and history.
map<string, .google.protobuf.Value> params = 6 [(.google.api.field_behavior) = OPTIONAL];
getParamsMap()
public Map<String,Value> getParamsMap()
Optional. Additional domain specific parameters for the predictions.
Allowed values:
returnCatalogItem: Boolean. If set to true, the associated catalogItem
object will be returned in the
PredictResponse.PredictionResult.itemMetadata object in the method
response.returnItemScore: Boolean. If set to true, the prediction 'score'
corresponding to each returned item will be set in the metadata
field in the prediction response. The given 'score' indicates the
probability of an item being clicked/purchased given the user's context
and history.
map<string, .google.protobuf.Value> params = 6 [(.google.api.field_behavior) = OPTIONAL];
getParamsOrDefault(String key, Value defaultValue)
public Value getParamsOrDefault(String key, Value defaultValue)
Optional. Additional domain specific parameters for the predictions.
Allowed values:
returnCatalogItem: Boolean. If set to true, the associated catalogItem
object will be returned in the
PredictResponse.PredictionResult.itemMetadata object in the method
response.returnItemScore: Boolean. If set to true, the prediction 'score'
corresponding to each returned item will be set in the metadata
field in the prediction response. The given 'score' indicates the
probability of an item being clicked/purchased given the user's context
and history.
map<string, .google.protobuf.Value> params = 6 [(.google.api.field_behavior) = OPTIONAL];
getParamsOrThrow(String key)
public Value getParamsOrThrow(String key)
Optional. Additional domain specific parameters for the predictions.
Allowed values:
returnCatalogItem: Boolean. If set to true, the associated catalogItem
object will be returned in the
PredictResponse.PredictionResult.itemMetadata object in the method
response.returnItemScore: Boolean. If set to true, the prediction 'score'
corresponding to each returned item will be set in the metadata
field in the prediction response. The given 'score' indicates the
probability of an item being clicked/purchased given the user's context
and history.
map<string, .google.protobuf.Value> params = 6 [(.google.api.field_behavior) = OPTIONAL];
getParserForType()
public Parser<PredictRequest> getParserForType()
Returns
Overrides
getSerializedSize()
public int getSerializedSize()
Returns
Overrides
getUnknownFields()
public final UnknownFieldSet getUnknownFields()
Returns
Overrides
getUserEvent()
public UserEvent getUserEvent()
Required. Context about the user, what they are looking at and what action
they took to trigger the predict request. Note that this user event detail
won't be ingested to userEvent logs. Thus, a separate userEvent write
request is required for event logging.
.google.cloud.recommendationengine.v1beta1.UserEvent user_event = 2 [(.google.api.field_behavior) = REQUIRED];
getUserEventOrBuilder()
public UserEventOrBuilder getUserEventOrBuilder()
Required. Context about the user, what they are looking at and what action
they took to trigger the predict request. Note that this user event detail
won't be ingested to userEvent logs. Thus, a separate userEvent write
request is required for event logging.
.google.cloud.recommendationengine.v1beta1.UserEvent user_event = 2 [(.google.api.field_behavior) = REQUIRED];
hasUserEvent()
public boolean hasUserEvent()
Required. Context about the user, what they are looking at and what action
they took to trigger the predict request. Note that this user event detail
won't be ingested to userEvent logs. Thus, a separate userEvent write
request is required for event logging.
.google.cloud.recommendationengine.v1beta1.UserEvent user_event = 2 [(.google.api.field_behavior) = REQUIRED];
| Type | Description |
| boolean | Whether the userEvent field is set.
|
hashCode()
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Overrides
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Overrides
internalGetMapField(int number)
protected MapField internalGetMapField(int number)
Parameter
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Overrides
isInitialized()
public final boolean isInitialized()
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Overrides
newBuilderForType()
public PredictRequest.Builder newBuilderForType()
Returns
newBuilderForType(GeneratedMessageV3.BuilderParent parent)
protected PredictRequest.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Parameter
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Overrides
newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Parameter
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Overrides
toBuilder()
public PredictRequest.Builder toBuilder()
Returns
writeTo(CodedOutputStream output)
public void writeTo(CodedOutputStream output)
Parameter
Overrides
Exceptions
