Interface PredictRequestOrBuilder (0.16.0)

public interface PredictRequestOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

containsLabels(String key)

public abstract boolean containsLabels(String key)

Optional. The labels for the predict request.

  • Label keys can contain lowercase letters, digits and hyphens, must start with a letter, and must end with a letter or digit.
  • Non-zero label values can contain lowercase letters, digits and hyphens, must start with a letter, and must end with a letter or digit.
  • No more than 64 labels can be associated with a given request. See https://goo.gl/xmQnxf for more information on and examples of labels.

map<string, string> labels = 9 [(.google.api.field_behavior) = OPTIONAL];

Parameter
NameDescription
keyString
Returns
TypeDescription
boolean

containsParams(String key)

public abstract boolean containsParams(String key)

Optional. Additional domain specific parameters for the predictions. Allowed values:

  • returnCatalogItem: Boolean. If set to true, the associated catalogItem object will be returned in the PredictResponse.PredictionResult.itemMetadata object in the method response.
  • returnItemScore: Boolean. If set to true, the prediction 'score' corresponding to each returned item will be set in the metadata field in the prediction response. The given 'score' indicates the probability of an item being clicked/purchased given the user's context and history.

map<string, .google.protobuf.Value> params = 6 [(.google.api.field_behavior) = OPTIONAL];

Parameter
NameDescription
keyString
Returns
TypeDescription
boolean

getDryRun()

public abstract boolean getDryRun()

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

bool dry_run = 4 [(.google.api.field_behavior) = OPTIONAL];

Returns
TypeDescription
boolean

The dryRun.

getFilter()

public abstract String getFilter()

Optional. Filter for restricting prediction results. Accepts values for tags and the filterOutOfStockItems flag.

  • Tag expressions. Restricts predictions to items that match all of the specified tags. Boolean operators OR and NOT are supported if the expression is enclosed in parentheses, and must be separated from the tag values by a space. -"tagA" is also supported and is equivalent to NOT "tagA". Tag values must be double quoted UTF-8 encoded strings with a size limit of 1 KiB.
  • filterOutOfStockItems. Restricts predictions to items that do not have a stockState value of OUT_OF_STOCK. Examples:
  • tag=("Red" OR "Blue") tag="New-Arrival" tag=(NOT "promotional")
  • filterOutOfStockItems tag=(-"promotional")
  • filterOutOfStockItems

string filter = 3 [(.google.api.field_behavior) = OPTIONAL];

Returns
TypeDescription
String

The filter.

getFilterBytes()

public abstract ByteString getFilterBytes()

Optional. Filter for restricting prediction results. Accepts values for tags and the filterOutOfStockItems flag.

  • Tag expressions. Restricts predictions to items that match all of the specified tags. Boolean operators OR and NOT are supported if the expression is enclosed in parentheses, and must be separated from the tag values by a space. -"tagA" is also supported and is equivalent to NOT "tagA". Tag values must be double quoted UTF-8 encoded strings with a size limit of 1 KiB.
  • filterOutOfStockItems. Restricts predictions to items that do not have a stockState value of OUT_OF_STOCK. Examples:
  • tag=("Red" OR "Blue") tag="New-Arrival" tag=(NOT "promotional")
  • filterOutOfStockItems tag=(-"promotional")
  • filterOutOfStockItems

string filter = 3 [(.google.api.field_behavior) = OPTIONAL];

Returns
TypeDescription
ByteString

The bytes for filter.

getLabels()

public abstract Map<String,String> getLabels()

Use #getLabelsMap() instead.

Returns
TypeDescription
Map<String,String>

getLabelsCount()

public abstract int getLabelsCount()

Optional. The labels for the predict request.

  • Label keys can contain lowercase letters, digits and hyphens, must start with a letter, and must end with a letter or digit.
  • Non-zero label values can contain lowercase letters, digits and hyphens, must start with a letter, and must end with a letter or digit.
  • No more than 64 labels can be associated with a given request. See https://goo.gl/xmQnxf for more information on and examples of labels.

map<string, string> labels = 9 [(.google.api.field_behavior) = OPTIONAL];

Returns
TypeDescription
int

getLabelsMap()

public abstract Map<String,String> getLabelsMap()

Optional. The labels for the predict request.

  • Label keys can contain lowercase letters, digits and hyphens, must start with a letter, and must end with a letter or digit.
  • Non-zero label values can contain lowercase letters, digits and hyphens, must start with a letter, and must end with a letter or digit.
  • No more than 64 labels can be associated with a given request. See https://goo.gl/xmQnxf for more information on and examples of labels.

map<string, string> labels = 9 [(.google.api.field_behavior) = OPTIONAL];

Returns
TypeDescription
Map<String,String>

getLabelsOrDefault(String key, String defaultValue)

public abstract String getLabelsOrDefault(String key, String defaultValue)

Optional. The labels for the predict request.

  • Label keys can contain lowercase letters, digits and hyphens, must start with a letter, and must end with a letter or digit.
  • Non-zero label values can contain lowercase letters, digits and hyphens, must start with a letter, and must end with a letter or digit.
  • No more than 64 labels can be associated with a given request. See https://goo.gl/xmQnxf for more information on and examples of labels.

map<string, string> labels = 9 [(.google.api.field_behavior) = OPTIONAL];

Parameters
NameDescription
keyString
defaultValueString
Returns
TypeDescription
String

getLabelsOrThrow(String key)

public abstract String getLabelsOrThrow(String key)

Optional. The labels for the predict request.

  • Label keys can contain lowercase letters, digits and hyphens, must start with a letter, and must end with a letter or digit.
  • Non-zero label values can contain lowercase letters, digits and hyphens, must start with a letter, and must end with a letter or digit.
  • No more than 64 labels can be associated with a given request. See https://goo.gl/xmQnxf for more information on and examples of labels.

map<string, string> labels = 9 [(.google.api.field_behavior) = OPTIONAL];

Parameter
NameDescription
keyString
Returns
TypeDescription
String

getName()

public abstract String getName()

Required. Full resource name of the format: {name=projects/*/locations/global/catalogs/default_catalog/eventStores/default_event_store/placements/*} The id of the recommendation engine placement. This id is used to identify the set of models that will be used to make the prediction. We currently support three placements with the following IDs by default:

  • shopping_cart: Predicts items frequently bought together with one or more catalog items in the same shopping session. Commonly displayed after add-to-cart events, on product detail pages, or on the shopping cart page.
  • home_page: Predicts the next product that a user will most likely engage with or purchase based on the shopping or viewing history of the specified userId or visitorId. For example - Recommendations for you.
  • product_detail: Predicts the next product that a user will most likely engage with or purchase. The prediction is based on the shopping or viewing history of the specified userId or visitorId and its relevance to a specified CatalogItem. Typically used on product detail pages. For example - More items like this.
  • recently_viewed_default: Returns up to 75 items recently viewed by the specified userId or visitorId, most recent ones first. Returns nothing if neither of them has viewed any items yet. For example - Recently viewed. The full list of available placements can be seen at https://console.cloud.google.com/recommendation/datafeeds/default_catalog/dashboard

string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }

Returns
TypeDescription
String

The name.

getNameBytes()

public abstract ByteString getNameBytes()

Required. Full resource name of the format: {name=projects/*/locations/global/catalogs/default_catalog/eventStores/default_event_store/placements/*} The id of the recommendation engine placement. This id is used to identify the set of models that will be used to make the prediction. We currently support three placements with the following IDs by default:

  • shopping_cart: Predicts items frequently bought together with one or more catalog items in the same shopping session. Commonly displayed after add-to-cart events, on product detail pages, or on the shopping cart page.
  • home_page: Predicts the next product that a user will most likely engage with or purchase based on the shopping or viewing history of the specified userId or visitorId. For example - Recommendations for you.
  • product_detail: Predicts the next product that a user will most likely engage with or purchase. The prediction is based on the shopping or viewing history of the specified userId or visitorId and its relevance to a specified CatalogItem. Typically used on product detail pages. For example - More items like this.
  • recently_viewed_default: Returns up to 75 items recently viewed by the specified userId or visitorId, most recent ones first. Returns nothing if neither of them has viewed any items yet. For example - Recently viewed. The full list of available placements can be seen at https://console.cloud.google.com/recommendation/datafeeds/default_catalog/dashboard

string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }

Returns
TypeDescription
ByteString

The bytes for name.

getPageSize()

public abstract int getPageSize()

Optional. Maximum number of results to return per page. Set this property to the number of prediction results required. If zero, the service will choose a reasonable default.

int32 page_size = 7 [(.google.api.field_behavior) = OPTIONAL];

Returns
TypeDescription
int

The pageSize.

getPageToken()

public abstract String getPageToken()

Optional. The previous PredictResponse.next_page_token.

string page_token = 8 [(.google.api.field_behavior) = OPTIONAL];

Returns
TypeDescription
String

The pageToken.

getPageTokenBytes()

public abstract ByteString getPageTokenBytes()

Optional. The previous PredictResponse.next_page_token.

string page_token = 8 [(.google.api.field_behavior) = OPTIONAL];

Returns
TypeDescription
ByteString

The bytes for pageToken.

getParams()

public abstract Map<String,Value> getParams()

Use #getParamsMap() instead.

Returns
TypeDescription
Map<String,Value>

getParamsCount()

public abstract int getParamsCount()

Optional. Additional domain specific parameters for the predictions. Allowed values:

  • returnCatalogItem: Boolean. If set to true, the associated catalogItem object will be returned in the PredictResponse.PredictionResult.itemMetadata object in the method response.
  • returnItemScore: Boolean. If set to true, the prediction 'score' corresponding to each returned item will be set in the metadata field in the prediction response. The given 'score' indicates the probability of an item being clicked/purchased given the user's context and history.

map<string, .google.protobuf.Value> params = 6 [(.google.api.field_behavior) = OPTIONAL];

Returns
TypeDescription
int

getParamsMap()

public abstract Map<String,Value> getParamsMap()

Optional. Additional domain specific parameters for the predictions. Allowed values:

  • returnCatalogItem: Boolean. If set to true, the associated catalogItem object will be returned in the PredictResponse.PredictionResult.itemMetadata object in the method response.
  • returnItemScore: Boolean. If set to true, the prediction 'score' corresponding to each returned item will be set in the metadata field in the prediction response. The given 'score' indicates the probability of an item being clicked/purchased given the user's context and history.

map<string, .google.protobuf.Value> params = 6 [(.google.api.field_behavior) = OPTIONAL];

Returns
TypeDescription
Map<String,Value>

getParamsOrDefault(String key, Value defaultValue)

public abstract Value getParamsOrDefault(String key, Value defaultValue)

Optional. Additional domain specific parameters for the predictions. Allowed values:

  • returnCatalogItem: Boolean. If set to true, the associated catalogItem object will be returned in the PredictResponse.PredictionResult.itemMetadata object in the method response.
  • returnItemScore: Boolean. If set to true, the prediction 'score' corresponding to each returned item will be set in the metadata field in the prediction response. The given 'score' indicates the probability of an item being clicked/purchased given the user's context and history.

map<string, .google.protobuf.Value> params = 6 [(.google.api.field_behavior) = OPTIONAL];

Parameters
NameDescription
keyString
defaultValueValue
Returns
TypeDescription
Value

getParamsOrThrow(String key)

public abstract Value getParamsOrThrow(String key)

Optional. Additional domain specific parameters for the predictions. Allowed values:

  • returnCatalogItem: Boolean. If set to true, the associated catalogItem object will be returned in the PredictResponse.PredictionResult.itemMetadata object in the method response.
  • returnItemScore: Boolean. If set to true, the prediction 'score' corresponding to each returned item will be set in the metadata field in the prediction response. The given 'score' indicates the probability of an item being clicked/purchased given the user's context and history.

map<string, .google.protobuf.Value> params = 6 [(.google.api.field_behavior) = OPTIONAL];

Parameter
NameDescription
keyString
Returns
TypeDescription
Value

getUserEvent()

public abstract UserEvent getUserEvent()

Required. Context about the user, what they are looking at and what action they took to trigger the predict request. Note that this user event detail won't be ingested to userEvent logs. Thus, a separate userEvent write request is required for event logging.

.google.cloud.recommendationengine.v1beta1.UserEvent user_event = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
TypeDescription
UserEvent

The userEvent.

getUserEventOrBuilder()

public abstract UserEventOrBuilder getUserEventOrBuilder()

Required. Context about the user, what they are looking at and what action they took to trigger the predict request. Note that this user event detail won't be ingested to userEvent logs. Thus, a separate userEvent write request is required for event logging.

.google.cloud.recommendationengine.v1beta1.UserEvent user_event = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
TypeDescription
UserEventOrBuilder

hasUserEvent()

public abstract boolean hasUserEvent()

Required. Context about the user, what they are looking at and what action they took to trigger the predict request. Note that this user event detail won't be ingested to userEvent logs. Thus, a separate userEvent write request is required for event logging.

.google.cloud.recommendationengine.v1beta1.UserEvent user_event = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
TypeDescription
boolean

Whether the userEvent field is set.