Vertex AI V1 API - Class Google::Cloud::AIPlatform::V1::GenAiTuningService::Client::Configuration::Rpcs (v0.58.0)

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Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::GenAiTuningService::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 gRPC 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)

#rebase_tuned_model

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

RPC-specific configuration for rebase_tuned_model

Returns

• (::Gapic::Config::Method)