Vertex AI V1 API - Class Google::Cloud::AIPlatform::V1::FeaturestoreService::Client::Configuration::Rpcs (v0.25.0)

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

Configuration RPC class for the FeaturestoreService 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

#batch_create_features

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

RPC-specific configuration for batch_create_features

Returns
  • (::Gapic::Config::Method)

#batch_read_feature_values

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

RPC-specific configuration for batch_read_feature_values

Returns
  • (::Gapic::Config::Method)

#create_entity_type

def create_entity_type() -> ::Gapic::Config::Me