Autogenerated update (2020-08-01)

Update:
- datacatalog_v1beta1
- healthcare_v1
- healthcare_v1beta1
- logging_v2
- memcache_v1
- people_v1
- recommendationengine_v1beta1
This commit is contained in:
Google APIs committed 2020-08-01 00:38:24 +00:00
1 parent d717b3b534
commit 274c8eb5d6
27 files changed
+4045 -1424

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@@ -174,8 +174,10 @@ module Google
# @return [String]
attr_accessor :dataset_id
# Required. Intermediate gcs dir used for the import.
# .
# Optional. Intermediate Cloud Storage directory used for the import. Can be
# specified
# if one wants to have the BigQuery export to a specific Cloud Storage
# directory.
# Corresponds to the JSON property `gcsStagingDir`
# @return [String]
attr_accessor :gcs_staging_dir
@@ -1056,9 +1058,9 @@ module Google
# * tag=("Red" OR "Blue") tag="New-Arrival" tag=(NOT "promotional")
# * filterOutOfStockItems tag=(-"promotional")
# * filterOutOfStockItems
# If your filter blocks all prediction results, generic (unfiltered) popular
# items are returned. This behavior can be overridden by setting
# `strictFiltering` to true in `PredictRequest.params`.
# If your filter blocks all prediction results, nothing will be returned. If
# you want generic (unfiltered) popular items to be returned instead, set
# `strictFiltering` to false in `PredictRequest.params`.
# Corresponds to the JSON property `filter`
# @return [String]
attr_accessor :filter
@@ -1097,9 +1099,9 @@ module Google
# field in the prediction response. The given 'score' indicates the
# probability of an item being clicked/purchased given the user's context
# and history.
# * `strictFiltering`: Boolean. If set to true, the service will return empty
# instead of generic (unfiltered) popular items if your filter blocks all
# prediction results.
# * `strictFiltering`: Boolean. True by default. If set to false, the service
# will return generic (unfiltered) popular items instead of empty if your
# filter blocks all prediction results.
# Corresponds to the JSON property `params`
# @return [Hash<String,Object>]
attr_accessor :params
@@ -32,7 +32,7 @@ module Google
# Recommendationengine = Google::Apis::RecommendationengineV1beta1 # Alias the module
# service = Recommendationengine::RecommendationsAIService.new
#
# @see https://cloud.google.com/recommendations/docs/
# @see https://cloud.google.com/recommendations-ai/docs
class RecommendationsAIService < Google::Apis::Core::BaseService
# @return [String]
# API key. Your API key identifies your project and provides you with API access,