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Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::FeaturestoreOnlineServingService::Client.
Client for the FeaturestoreOnlineServingService service.
A service for serving online feature values.
Inherits
- Object
Methods
.configure
def self.configure() { |config| ... } -> Client::Configuration
Configure the FeaturestoreOnlineServingService Client class.
See Configuration for a description of the configuration fields.
- (config) — Configure the Client client.
- config (Client::Configuration)
# Modify the configuration for all FeaturestoreOnlineServingService clients ::Google::Cloud::AIPlatform::V1::FeaturestoreOnlineServingService::Client.configure do |config| config.timeout = 10.0 end
#configure
def configure() { |config| ... } -> Client::Configuration
Configure the FeaturestoreOnlineServingService Client instance.
The configuration is set to the derived mode, meaning that values can be changed, but structural changes (adding new fields, etc.) are not allowed. Structural changes should be made on Client.configure.
See Configuration for a description of the configuration fields.
- (config) — Configure the Client client.
- config (Client::Configuration)
#iam_policy_client
def iam_policy_client() -> Google::Iam::V1::IAMPolicy::Client
Get the associated client for mix-in of the IAMPolicy.
- (Google::Iam::V1::IAMPolicy::Client)
#initialize
def initialize() { |config| ... } -> Client
Create a new FeaturestoreOnlineServingService client object.
- (config) — Configure the FeaturestoreOnlineServingService client.
- config (Client::Configuration)
- (Client) — a new instance of Client
# Create a client using the default configuration client = ::Google::Cloud::AIPlatform::V1::FeaturestoreOnlineServingService::Client.new # Create a client using a custom configuration client = ::Google::Cloud::AIPlatform::V1::FeaturestoreOnlineServingService::Client.new do |config| config.timeout = 10.0 end
#location_client
def location_client() -> Google::Cloud::Location::Locations::Client
Get the associated client for mix-in of the Locations.
- (Google::Cloud::Location::Locations::Client)
#logger
def logger() -> Logger
The logger used for request/response debug logging.
- (Logger)
#read_feature_values
def read_feature_values(request, options = nil) -> ::Google::Cloud::AIPlatform::V1::ReadFeatureValuesResponse
def read_feature_values(entity_type: nil, entity_id: nil, feature_selector: nil) -> ::Google::Cloud::AIPlatform::V1::ReadFeatureValuesResponse
Reads Feature values of a specific entity of an EntityType. For reading feature values of multiple entities of an EntityType, please use StreamingReadFeatureValues.
def read_feature_values(request, options = nil) -> ::Google::Cloud::AIPlatform::V1::ReadFeatureValuesResponse
read_feature_values
via a request object, either of type
ReadFeatureValuesRequest or an equivalent Hash.
- request (::Google::Cloud::AIPlatform::V1::ReadFeatureValuesRequest, ::Hash) — A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.
- options (::Gapic::CallOptions, ::Hash) — Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.
def read_feature_values(entity_type: nil, entity_id: nil, feature_selector: nil) -> ::Google::Cloud::AIPlatform::V1::ReadFeatureValuesResponse
read_feature_values
via keyword arguments. Note that at
least one keyword argument is required. To specify no parameters, or to keep all
the default parameter values, pass an empty Hash as a request object (see above).
-
entity_type (::String) — Required. The resource name of the EntityType for the entity being read.
Value format:
projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}
. For example, for a machine learning model predicting user clicks on a website, an EntityType ID could beuser
. -
entity_id (::String) — Required. ID for a specific entity. For example,
for a machine learning model predicting user clicks on a website, an entity
ID could be
user_123
. - feature_selector (::Google::Cloud::AIPlatform::V1::FeatureSelector, ::Hash) — Required. Selector choosing Features of the target EntityType.
- (response, operation) — Access the result along with the RPC operation
- response (::Google::Cloud::AIPlatform::V1::ReadFeatureValuesResponse)
- operation (::GRPC::ActiveCall::Operation)
- (::Google::Cloud::Error) — if the RPC is aborted.
Basic example
require "google/cloud/ai_platform/v1" # Create a client object. The client can be reused for multiple calls. client = Google::Cloud::AIPlatform::V1::FeaturestoreOnlineServingService::Client.new # Create a request. To set request fields, pass in keyword arguments. request = Google::Cloud::AIPlatform::V1::ReadFeatureValuesRequest.new # Call the read_feature_values method. result = client.read_feature_values request # The returned object is of type Google::Cloud::AIPlatform::V1::ReadFeatureValuesResponse. p result
#streaming_read_feature_values
def streaming_read_feature_values(request, options = nil) -> ::Enumerable<::Google::Cloud::AIPlatform::V1::ReadFeatureValuesResponse>
def streaming_read_feature_values(entity_type: nil, entity_ids: nil, feature_selector: nil) -> ::Enumerable<::Google::Cloud::AIPlatform::V1::ReadFeatureValuesResponse>
Reads Feature values for multiple entities. Depending on their size, data for different entities may be broken up across multiple responses.
def streaming_read_feature_values(request, options = nil) -> ::Enumerable<::Google::Cloud::AIPlatform::V1::ReadFeatureValuesResponse>
streaming_read_feature_values
via a request object, either of type
StreamingReadFeatureValuesRequest or an equivalent Hash.
- request (::Google::Cloud::AIPlatform::V1::StreamingReadFeatureValuesRequest, ::Hash) — A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.
- options (::Gapic::CallOptions, ::Hash) — Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.
def streaming_read_feature_values(entity_type: nil, entity_ids: nil, feature_selector: nil) -> ::Enumerable<::Google::Cloud::AIPlatform::V1::ReadFeatureValuesResponse>
streaming_read_feature_values
via keyword arguments. Note that at
least one keyword argument is required. To specify no parameters, or to keep all
the default parameter values, pass an empty Hash as a request object (see above).
-
entity_type (::String) — Required. The resource name of the entities' type.
Value format:
projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}
. For example, for a machine learning model predicting user clicks on a website, an EntityType ID could beuser
. -
entity_ids (::Array<::String>) — Required. IDs of entities to read Feature values of. The maximum number of
IDs is 100. For example, for a machine learning model predicting user
clicks on a website, an entity ID could be
user_123
. - feature_selector (::Google::Cloud::AIPlatform::V1::FeatureSelector, ::Hash) — Required. Selector choosing Features of the target EntityType. Feature IDs will be deduplicated.
- (response, operation) — Access the result along with the RPC operation
- response (::Enumerable<::Google::Cloud::AIPlatform::V1::ReadFeatureValuesResponse>)
- operation (::GRPC::ActiveCall::Operation)
- (::Enumerable<::Google::Cloud::AIPlatform::V1::ReadFeatureValuesResponse>)
- (::Google::Cloud::Error) — if the RPC is aborted.
Basic example
require "google/cloud/ai_platform/v1" # Create a client object. The client can be reused for multiple calls. client = Google::Cloud::AIPlatform::V1::FeaturestoreOnlineServingService::Client.new # Create a request. To set request fields, pass in keyword arguments. request = Google::Cloud::AIPlatform::V1::StreamingReadFeatureValuesRequest.new # Call the streaming_read_feature_values method to start streaming. output = client.streaming_read_feature_values request # The returned object is a streamed enumerable yielding elements of type # ::Google::Cloud::AIPlatform::V1::ReadFeatureValuesResponse output.each do |current_response| p current_response end
#universe_domain
def universe_domain() -> String
The effective universe domain
- (String)
#write_feature_values
def write_feature_values(request, options = nil) -> ::Google::Cloud::AIPlatform::V1::WriteFeatureValuesResponse
def write_feature_values(entity_type: nil, payloads: nil) -> ::Google::Cloud::AIPlatform::V1::WriteFeatureValuesResponse
Writes Feature values of one or more entities of an EntityType.
The Feature values are merged into existing entities if any. The Feature values to be written must have timestamp within the online storage retention.
def write_feature_values(request, options = nil) -> ::Google::Cloud::AIPlatform::V1::WriteFeatureValuesResponse
write_feature_values
via a request object, either of type
WriteFeatureValuesRequest or an equivalent Hash.
- request (::Google::Cloud::AIPlatform::V1::WriteFeatureValuesRequest, ::Hash) — A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.
- options (::Gapic::CallOptions, ::Hash) — Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.
def write_feature_values(entity_type: nil, payloads: nil) -> ::Google::Cloud::AIPlatform::V1::WriteFeatureValuesResponse
write_feature_values
via keyword arguments. Note that at
least one keyword argument is required. To specify no parameters, or to keep all
the default parameter values, pass an empty Hash as a request object (see above).
-
entity_type (::String) — Required. The resource name of the EntityType for the entities being
written. Value format:
projects/{project}/locations/{location}/featurestores/ \\{featurestore}/entityTypes/\\{entityType}
. For example, for a machine learning model predicting user clicks on a website, an EntityType ID could beuser
. -
payloads (::Array<::Google::Cloud::AIPlatform::V1::WriteFeatureValuesPayload, ::Hash>) — Required. The entities to be written. Up to 100,000 feature values can be
written across all
payloads
.
- (response, operation) — Access the result along with the RPC operation
- response (::Google::Cloud::AIPlatform::V1::WriteFeatureValuesResponse)
- operation (::GRPC::ActiveCall::Operation)
- (::Google::Cloud::Error) — if the RPC is aborted.
Basic example
require "google/cloud/ai_platform/v1" # Create a client object. The client can be reused for multiple calls. client = Google::Cloud::AIPlatform::V1::FeaturestoreOnlineServingService::Client.new # Create a request. To set request fields, pass in keyword arguments. request = Google::Cloud::AIPlatform::V1::WriteFeatureValuesRequest.new # Call the write_feature_values method. result = client.write_feature_values request # The returned object is of type Google::Cloud::AIPlatform::V1::WriteFeatureValuesResponse. p result