Cloud AutoML V1 API - Class Google::Cloud::AutoML::V1::AutoML::Client::Configuration::Rpcs (v0.6.0)

Reference documentation and code samples for the Cloud AutoML V1 API class Google::Cloud::AutoML::V1::AutoML::Client::Configuration::Rpcs.

Configuration RPC class for the AutoMl 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

#create_dataset

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

RPC-specific configuration for create_dataset

Returns
  • (::Gapic::Config::Method)

#create_model

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

RPC-specific configuration for create_model

Returns
  • (::Gapic::Config::Method)

#delete_dataset

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

RPC-specific configuration for delete_dataset

Returns
  • (::Gapic::Config::Method)

#delete_model

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

RPC-specific configuration for delete_model

Returns
  • (::Gapic::Config::Method)

#deploy_model

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

RPC-specific configuration for deploy_model

Returns
  • (::Gapic::Config::Method)

#export_data

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

RPC-specific configuration for export_data

Returns
  • (::Gapic::Config::Method)

#export_model

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

RPC-specific configuration for export_model

Returns
  • (::Gapic::Config::Method)

#get_annotation_spec

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

RPC-specific configuration for get_annotation_spec

Returns
  • (::Gapic::Config::Method)

#get_dataset

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

RPC-specific configuration for get_dataset

Returns
  • (::Gapic::Config::Method)

#get_model

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

RPC-specific configuration for get_model

Returns
  • (::Gapic::Config::Method)

#get_model_evaluation

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

RPC-specific configuration for get_model_evaluation

Returns
  • (::Gapic::Config::Method)

#import_data

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

RPC-specific configuration for import_data

Returns
  • (::Gapic::Config::Method)

#list_datasets

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

RPC-specific configuration for list_datasets

Returns
  • (::Gapic::Config::Method)

#list_model_evaluations

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

RPC-specific configuration for list_model_evaluations

Returns
  • (::Gapic::Config::Method)

#list_models

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

RPC-specific configuration for list_models

Returns
  • (::Gapic::Config::Method)

#undeploy_model

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

RPC-specific configuration for undeploy_model

Returns
  • (::Gapic::Config::Method)

#update_dataset

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

RPC-specific configuration for update_dataset

Returns
  • (::Gapic::Config::Method)

#update_model

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

RPC-specific configuration for update_model

Returns
  • (::Gapic::Config::Method)