class Aws::SageMaker::Types::UpdateTrainingJobRequest
@note When making an API call, you may pass UpdateTrainingJobRequest
data as a hash: { training_job_name: "TrainingJobName", # required profiler_config: { s3_output_path: "S3Uri", profiling_interval_in_milliseconds: 1, profiling_parameters: { "ConfigKey" => "ConfigValue", }, disable_profiler: false, }, profiler_rule_configurations: [ { rule_configuration_name: "RuleConfigurationName", # required local_path: "DirectoryPath", s3_output_path: "S3Uri", rule_evaluator_image: "AlgorithmImage", # required instance_type: "ml.t3.medium", # accepts ml.t3.medium, ml.t3.large, ml.t3.xlarge, ml.t3.2xlarge, ml.m4.xlarge, ml.m4.2xlarge, ml.m4.4xlarge, ml.m4.10xlarge, ml.m4.16xlarge, ml.c4.xlarge, ml.c4.2xlarge, ml.c4.4xlarge, ml.c4.8xlarge, ml.p2.xlarge, ml.p2.8xlarge, ml.p2.16xlarge, ml.p3.2xlarge, ml.p3.8xlarge, ml.p3.16xlarge, ml.c5.xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.c5.18xlarge, ml.m5.large, ml.m5.xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.r5.large, ml.r5.xlarge, ml.r5.2xlarge, ml.r5.4xlarge, ml.r5.8xlarge, ml.r5.12xlarge, ml.r5.16xlarge, ml.r5.24xlarge, ml.g4dn.xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.12xlarge, ml.g4dn.16xlarge volume_size_in_gb: 1, rule_parameters: { "ConfigKey" => "ConfigValue", }, }, ], }
@!attribute [rw] training_job_name
The name of a training job to update the Debugger profiling configuration. @return [String]
@!attribute [rw] profiler_config
Configuration information for Debugger system monitoring, framework profiling, and storage paths. @return [Types::ProfilerConfigForUpdate]
@!attribute [rw] profiler_rule_configurations
Configuration information for Debugger rules for profiling system and framework metrics. @return [Array<Types::ProfilerRuleConfiguration>]
@see docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/UpdateTrainingJobRequest AWS API Documentation
Constants
- SENSITIVE