class Aws::SageMaker::Types::MonitoringJobDefinition
Defines the monitoring job.
@note When making an API call, you may pass MonitoringJobDefinition
data as a hash: { baseline_config: { baselining_job_name: "ProcessingJobName", constraints_resource: { s3_uri: "S3Uri", }, statistics_resource: { s3_uri: "S3Uri", }, }, monitoring_inputs: [ # required { endpoint_input: { # required endpoint_name: "EndpointName", # required local_path: "ProcessingLocalPath", # required s3_input_mode: "Pipe", # accepts Pipe, File s3_data_distribution_type: "FullyReplicated", # accepts FullyReplicated, ShardedByS3Key features_attribute: "String", inference_attribute: "String", probability_attribute: "String", probability_threshold_attribute: 1.0, start_time_offset: "MonitoringTimeOffsetString", end_time_offset: "MonitoringTimeOffsetString", }, }, ], monitoring_output_config: { # required monitoring_outputs: [ # required { s3_output: { # required s3_uri: "MonitoringS3Uri", # required local_path: "ProcessingLocalPath", # required s3_upload_mode: "Continuous", # accepts Continuous, EndOfJob }, }, ], kms_key_id: "KmsKeyId", }, monitoring_resources: { # required cluster_config: { # required instance_count: 1, # required instance_type: "ml.t3.medium", # required, 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, # required volume_kms_key_id: "KmsKeyId", }, }, monitoring_app_specification: { # required image_uri: "ImageUri", # required container_entrypoint: ["ContainerEntrypointString"], container_arguments: ["ContainerArgument"], record_preprocessor_source_uri: "S3Uri", post_analytics_processor_source_uri: "S3Uri", }, stopping_condition: { max_runtime_in_seconds: 1, # required }, environment: { "ProcessingEnvironmentKey" => "ProcessingEnvironmentValue", }, network_config: { enable_inter_container_traffic_encryption: false, enable_network_isolation: false, vpc_config: { security_group_ids: ["SecurityGroupId"], # required subnets: ["SubnetId"], # required }, }, role_arn: "RoleArn", # required }
@!attribute [rw] baseline_config
Baseline configuration used to validate that the data conforms to the specified constraints and statistics @return [Types::MonitoringBaselineConfig]
@!attribute [rw] monitoring_inputs
The array of inputs for the monitoring job. Currently we support monitoring an Amazon SageMaker Endpoint. @return [Array<Types::MonitoringInput>]
@!attribute [rw] monitoring_output_config
The array of outputs from the monitoring job to be uploaded to Amazon Simple Storage Service (Amazon S3). @return [Types::MonitoringOutputConfig]
@!attribute [rw] monitoring_resources
Identifies the resources, ML compute instances, and ML storage volumes to deploy for a monitoring job. In distributed processing, you specify more than one instance. @return [Types::MonitoringResources]
@!attribute [rw] monitoring_app_specification
Configures the monitoring job to run a specified Docker container image. @return [Types::MonitoringAppSpecification]
@!attribute [rw] stopping_condition
Specifies a time limit for how long the monitoring job is allowed to run. @return [Types::MonitoringStoppingCondition]
@!attribute [rw] environment
Sets the environment variables in the Docker container. @return [Hash<String,String>]
@!attribute [rw] network_config
Specifies networking options for an monitoring job. @return [Types::NetworkConfig]
@!attribute [rw] role_arn
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf. @return [String]
@see docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/MonitoringJobDefinition AWS API Documentation
Constants
- SENSITIVE