class Aws::SageMaker::Types::CreateMonitoringScheduleRequest

@note When making an API call, you may pass CreateMonitoringScheduleRequest

data as a hash:

    {
      monitoring_schedule_name: "MonitoringScheduleName", # required
      monitoring_schedule_config: { # required
        schedule_config: {
          schedule_expression: "ScheduleExpression", # required
        },
        monitoring_job_definition: {
          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
        },
        monitoring_job_definition_name: "MonitoringJobDefinitionName",
        monitoring_type: "DataQuality", # accepts DataQuality, ModelQuality, ModelBias, ModelExplainability
      },
      tags: [
        {
          key: "TagKey", # required
          value: "TagValue", # required
        },
      ],
    }

@!attribute [rw] monitoring_schedule_name

The name of the monitoring schedule. The name must be unique within
an Amazon Web Services Region within an Amazon Web Services account.
@return [String]

@!attribute [rw] monitoring_schedule_config

The configuration object that specifies the monitoring schedule and
defines the monitoring job.
@return [Types::MonitoringScheduleConfig]

@!attribute [rw] tags

(Optional) An array of key-value pairs. For more information, see
[Using Cost Allocation Tags](
https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/cost-alloc-tags.html#allocation-whatURL)
in the *Amazon Web Services Billing and Cost Management User Guide*.
@return [Array<Types::Tag>]

@see docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreateMonitoringScheduleRequest AWS API Documentation

Constants

SENSITIVE