Class: Aws::SageMaker::Waiters::TrainingJobCompletedOrStopped

Inherits:

Object

• Object
• Aws::SageMaker::Waiters::TrainingJobCompletedOrStopped

Defined in:

sig/waiters.rbs,
lib/aws-sdk-sagemaker/waiters.rb

Instance Attribute Summary

• #waiter ⇒ Object readonly private

Instance Method Summary

• #initialize(options) ⇒ TrainingJobCompletedOrStopped constructor

  A new instance of TrainingJobCompletedOrStopped.

• #wait(params = {}) ⇒ Types::DescribeTrainingJobResponse

  Returns a response object which responds to the following methods:.

Constructor Details

#initialize(options) ⇒ TrainingJobCompletedOrStopped

Returns a new instance of TrainingJobCompletedOrStopped.

Parameters:

• options (Hash)

Options Hash (options):

• :client (required, Client)
• :max_attempts (Integer) — default: 180
• :delay (Integer) — default: 120
• :before_attempt (Proc)
• :before_wait (Proc)

# File 'lib/aws-sdk-sagemaker/waiters.rb', line 617

def initialize: (?client: Client, ?max_attempts: Integer, ?delay: Integer, ?before_attempt: Proc, ?before_wait: Proc) -> void
| (?Hash[Symbol, untyped]) -> void

Instance Attribute Details

#waiter ⇒ Object (readonly)

This method is part of a private API. You should avoid using this method if possible, as it may be removed or be changed in the future.

# File 'lib/aws-sdk-sagemaker/waiters.rb', line 660

def waiter
  @waiter
end

Instance Method Details

#wait(params = {}) ⇒ Types::DescribeTrainingJobResponse

Returns a response object which responds to the following methods:

• #training_job_name => String
• #training_job_arn => String
• #tuning_job_arn => String
• #labeling_job_arn => String
• #auto_ml_job_arn => String
• #model_artifacts => Types::ModelArtifacts
• #training_job_status => String
• #secondary_status => String
• #failure_reason => String
• #hyper_parameters => Hash<String,String>
• #algorithm_specification => Types::AlgorithmSpecification
• #role_arn => String
• #input_data_config => Array<Types::Channel>
• #output_data_config => Types::OutputDataConfig
• #resource_config => Types::ResourceConfig
• #warm_pool_status => Types::WarmPoolStatus
• #vpc_config => Types::VpcConfig
• #stopping_condition => Types::StoppingCondition
• #creation_time => Time
• #training_start_time => Time
• #training_end_time => Time
• #last_modified_time => Time
• #secondary_status_transitions => Array<Types::SecondaryStatusTransition>
• #final_metric_data_list => Array<Types::MetricData>
• #enable_network_isolation => Boolean
• #enable_inter_container_traffic_encryption => Boolean
• #enable_managed_spot_training => Boolean
• #checkpoint_config => Types::CheckpointConfig
• #training_time_in_seconds => Integer
• #billable_time_in_seconds => Integer
• #billable_token_count => Integer
• #debug_hook_config => Types::DebugHookConfig
• #experiment_config => Types::ExperimentConfig
• #debug_rule_configurations => Array<Types::DebugRuleConfiguration>
• #tensor_board_output_config => Types::TensorBoardOutputConfig
• #debug_rule_evaluation_statuses => Array<Types::DebugRuleEvaluationStatus>
• #profiler_config => Types::ProfilerConfig
• #profiler_rule_configurations => Array<Types::ProfilerRuleConfiguration>
• #profiler_rule_evaluation_statuses => Array<Types::ProfilerRuleEvaluationStatus>
• #profiling_status => String
• #environment => Hash<String,String>
• #retry_strategy => Types::RetryStrategy
• #remote_debug_config => Types::RemoteDebugConfig
• #infra_check_config => Types::InfraCheckConfig
• #serverless_job_config => Types::ServerlessJobConfig
• #mlflow_config => Types::MlflowConfig
• #model_package_config => Types::ModelPackageConfig
• #mlflow_details => Types::MlflowDetails
• #progress_info => Types::TrainingProgressInfo
• #output_model_package_arn => String

Options Hash (params):

• :training_job_name (required, String) —

  The name of the training job.

Returns:

• (Types::DescribeTrainingJobResponse) —

  Returns a response object which responds to the following methods:

  • #training_job_name => String
  • #training_job_arn => String
  • #tuning_job_arn => String
  • #labeling_job_arn => String
  • #auto_ml_job_arn => String
  • #model_artifacts => Types::ModelArtifacts
  • #training_job_status => String
  • #secondary_status => String
  • #failure_reason => String
  • #hyper_parameters => Hash<String,String>
  • #algorithm_specification => Types::AlgorithmSpecification
  • #role_arn => String
  • #input_data_config => Array<Types::Channel>
  • #output_data_config => Types::OutputDataConfig
  • #resource_config => Types::ResourceConfig
  • #warm_pool_status => Types::WarmPoolStatus
  • #vpc_config => Types::VpcConfig
  • #stopping_condition => Types::StoppingCondition
  • #creation_time => Time
  • #training_start_time => Time
  • #training_end_time => Time
  • #last_modified_time => Time
  • #secondary_status_transitions => Array<Types::SecondaryStatusTransition>
  • #final_metric_data_list => Array<Types::MetricData>
  • #enable_network_isolation => Boolean
  • #enable_inter_container_traffic_encryption => Boolean
  • #enable_managed_spot_training => Boolean
  • #checkpoint_config => Types::CheckpointConfig
  • #training_time_in_seconds => Integer
  • #billable_time_in_seconds => Integer
  • #billable_token_count => Integer
  • #debug_hook_config => Types::DebugHookConfig
  • #experiment_config => Types::ExperimentConfig
  • #debug_rule_configurations => Array<Types::DebugRuleConfiguration>
  • #tensor_board_output_config => Types::TensorBoardOutputConfig
  • #debug_rule_evaluation_statuses => Array<Types::DebugRuleEvaluationStatus>
  • #profiler_config => Types::ProfilerConfig
  • #profiler_rule_configurations => Array<Types::ProfilerRuleConfiguration>
  • #profiler_rule_evaluation_statuses => Array<Types::ProfilerRuleEvaluationStatus>
  • #profiling_status => String
  • #environment => Hash<String,String>
  • #retry_strategy => Types::RetryStrategy
  • #remote_debug_config => Types::RemoteDebugConfig
  • #infra_check_config => Types::InfraCheckConfig
  • #serverless_job_config => Types::ServerlessJobConfig
  • #mlflow_config => Types::MlflowConfig
  • #model_package_config => Types::ModelPackageConfig
  • #mlflow_details => Types::MlflowDetails
  • #progress_info => Types::TrainingProgressInfo
  • #output_model_package_arn => String

# File 'lib/aws-sdk-sagemaker/waiters.rb', line 655

def wait: (