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Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::DataFoundryService::Client.
Client for the DataFoundryService service.
Service for generating and preparing datasets for Gen AI evaluation.
Inherits
- Object
Methods
.configure
def self.configure() { |config| ... } -> Client::Configuration
Configure the DataFoundryService Client class.
See Configuration for a description of the configuration fields.
- (config) — Configure the Client client.
- config (Client::Configuration)
# Modify the configuration for all DataFoundryService clients ::Google::Cloud::AIPlatform::V1::DataFoundryService::Client.configure do |config| config.timeout = 10.0 end
#configure
def configure() { |config| ... } -> Client::Configuration
Configure the DataFoundryService 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)
#generate_synthetic_data
def generate_synthetic_data(request, options = nil) -> ::Google::Cloud::AIPlatform::V1::GenerateSyntheticDataResponse
def generate_synthetic_data(task_description: nil, location: nil, count: nil, output_field_specs: nil, examples: nil) -> ::Google::Cloud::AIPlatform::V1::GenerateSyntheticDataResponse
Generates synthetic data based on the provided configuration.
def generate_synthetic_data(request, options = nil) -> ::Google::Cloud::AIPlatform::V1::GenerateSyntheticDataResponse
generate_synthetic_data
via a request object, either of type
GenerateSyntheticDataRequest or an equivalent Hash.
- request (::Google::Cloud::AIPlatform::V1::GenerateSyntheticDataRequest, ::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 generate_synthetic_data(task_description: nil, location: nil, count: nil, output_field_specs: nil, examples: nil) -> ::Google::Cloud::AIPlatform::V1::GenerateSyntheticDataResponse
generate_synthetic_data
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).
- task_description (::Google::Cloud::AIPlatform::V1::TaskDescriptionStrategy, ::Hash) — Generate data from a high-level task description.
-
location (::String) — Required. The resource name of the Location to run the job.
Format:
projects/{project}/locations/{location}
- count (::Integer) — Required. The number of synthetic examples to generate. For this stateless API, the count is limited to a small number.
- output_field_specs (::Array<::Google::Cloud::AIPlatform::V1::OutputFieldSpec, ::Hash>) — Required. The schema of the desired output, defined by a list of fields.
- examples (::Array<::Google::Cloud::AIPlatform::V1::SyntheticExample, ::Hash>) — Optional. A list of few-shot examples to guide the model's output style and format.
- (response, operation) — Access the result along with the RPC operation
- response (::Google::Cloud::AIPlatform::V1::GenerateSyntheticDataResponse)
- 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::DataFoundryService::Client.new # Create a request. To set request fields, pass in keyword arguments. request = Google::Cloud::AIPlatform::V1::GenerateSyntheticDataRequest.new # Call the generate_synthetic_data method. result = client.generate_synthetic_data request # The returned object is of type Google::Cloud::AIPlatform::V1::GenerateSyntheticDataResponse. p result
#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 DataFoundryService client object.
- (config) — Configure the DataFoundryService client.
- config (Client::Configuration)
- (Client) — a new instance of Client
# Create a client using the default configuration client = ::Google::Cloud::AIPlatform::V1::DataFoundryService::Client.new # Create a client using a custom configuration client = ::Google::Cloud::AIPlatform::V1::DataFoundryService::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)
#universe_domain
def universe_domain() -> String
The effective universe domain
- (String)