Recommendations AI V1beta1 API - Class Google::Cloud::RecommendationEngine::V1beta1::PredictRequest (v0.9.2)

Reference documentation and code samples for the Recommendations AI V1beta1 API class Google::Cloud::RecommendationEngine::V1beta1::PredictRequest.

Request message for Predict method.

Inherits

  • Object

Extended By

  • Google::Protobuf::MessageExts::ClassMethods

Includes

  • Google::Protobuf::MessageExts

Methods

#dry_run

def dry_run() -> ::Boolean
Returns
  • (::Boolean) — 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.

#dry_run=

def dry_run=(value) -> ::Boolean
Parameter
  • value (::Boolean) — 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.
Returns
  • (::Boolean) — 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.

#filter

def filter() -> ::String
Returns
  • (::String) —

    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

#filter=

def filter=(value) -> ::String
Parameter
  • value (::String) —

    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
Returns
  • (::String) —

    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

#labels

def labels() -> ::Google::Protobuf::Map{::String => ::String}
Returns
  • (::Google::Protobuf::Map{::String => ::String}) — 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.

#labels=

def labels=(value) -> ::Google::Protobuf::Map{::String => ::String}
Parameter
  • value (::Google::Protobuf::Map{::String => ::String}) — 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.

Returns
  • (::Google::Protobuf::Map{::String => ::String}) — 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.

#name

def name() -> ::String
Returns
  • (::String) — 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

#name=

def name=(value) -> ::String
Parameter
  • value (::String) — 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

Returns
  • (::String) — 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

#page_size

def page_size() -> ::Integer
Returns
  • (::Integer) — 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.

#page_size=

def page_size=(value) -> ::Integer
Parameter
  • value (::Integer) — 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.
Returns
  • (::Integer) — 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.

#page_token

def page_token() -> ::String
Returns
  • (::String) — Optional. The previous PredictResponse.next_page_token.

#page_token=

def page_token=(value) -> ::String
Parameter
  • value (::String) — Optional. The previous PredictResponse.next_page_token.
Returns
  • (::String) — Optional. The previous PredictResponse.next_page_token.

#params

def params() -> ::Google::Protobuf::Map{::String => ::Google::Protobuf::Value}
Returns
  • (::Google::Protobuf::Map{::String => ::Google::Protobuf::Value}) —

    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.

#params=

def params=(value) -> ::Google::Protobuf::Map{::String => ::Google::Protobuf::Value}
Parameter
  • value (::Google::Protobuf::Map{::String => ::Google::Protobuf::Value}) —

    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.
Returns
  • (::Google::Protobuf::Map{::String => ::Google::Protobuf::Value}) —

    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.

#user_event

def user_event() -> ::Google::Cloud::RecommendationEngine::V1beta1::UserEvent
Returns
  • (::Google::Cloud::RecommendationEngine::V1beta1::UserEvent) — 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.

#user_event=

def user_event=(value) -> ::Google::Cloud::RecommendationEngine::V1beta1::UserEvent
Parameter
  • value (::Google::Cloud::RecommendationEngine::V1beta1::UserEvent) — 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.
Returns
  • (::Google::Cloud::RecommendationEngine::V1beta1::UserEvent) — 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.