Vertex AI V1 API - Class Google::Cloud::AIPlatform::V1::GenAiTuningService::Rest::Client::Configuration::Rpcs (v0.52.0)

Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::GenAiTuningService::Rest::Client::Configuration::Rpcs.

Configuration RPC class for the GenAiTuningService API.

Includes fields providing the configuration for each RPC in this service. Each configuration object is of type Gapic::Config::Method and includes the following configuration fields:

  • timeout (type: Numeric) - The call timeout in seconds
  • metadata (type: Hash{Symbol=>String}) - Additional headers
  • retry_policy (type:Hash`) - The retry policy. The policy fields include the following keys:
    • :initial_delay (type: Numeric) - The initial delay in seconds.
    • :max_delay (type: Numeric) - The max delay in seconds.
    • :multiplier (type: Numeric) - The incremental backoff multiplier.
    • :retry_codes (type: Array<String>) - The error codes that should trigger a retry.

Inherits

  • Object

Methods

#cancel_tuning_job

def cancel_tuning_job() -> ::Gapic::Config::Method

RPC-specific configuration for cancel_tuning_job

Returns
  • (::Gapic::Config::Method)

#create_tuning_job

def create_tuning_job() -> ::Gapic::Config::Method

RPC-specific configuration for create_tuning_job

Returns
  • (::Gapic::Config::Method)

#get_tuning_job

def get_tuning_job() -> ::Gapic::Config::Method

RPC-specific configuration for get_tuning_job

Returns
  • (::Gapic::Config::Method)

#list_tuning_jobs

def list_tuning_jobs() -> ::Gapic::Config::Method

RPC-specific configuration for list_tuning_jobs

Returns
  • (::Gapic::Config::Method)