Class: Aws::SageMaker::Types::MonitoringScheduleConfig
- Inherits:
-
Struct
- Object
- Struct
- Aws::SageMaker::Types::MonitoringScheduleConfig
- Includes:
- Aws::Structure
- Defined in:
- lib/aws-sdk-sagemaker/types.rb
Overview
Note:
When making an API call, you may pass MonitoringScheduleConfig data as a hash:
{
schedule_config: {
schedule_expression: "ScheduleExpression", # required
},
monitoring_job_definition: { # required
baseline_config: {
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
},
},
],
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
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_network_isolation: false,
vpc_config: {
security_group_ids: ["SecurityGroupId"], # required
subnets: ["SubnetId"], # required
},
},
role_arn: "RoleArn", # required
},
}
Configures the monitoring schedule and defines the monitoring job.
Instance Attribute Summary collapse
-
#monitoring_job_definition ⇒ Types::MonitoringJobDefinition
Defines the monitoring job.
-
#schedule_config ⇒ Types::ScheduleConfig
Configures the monitoring schedule.
Instance Attribute Details
#monitoring_job_definition ⇒ Types::MonitoringJobDefinition
Defines the monitoring job.
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# File 'lib/aws-sdk-sagemaker/types.rb', line 15195 class MonitoringScheduleConfig < Struct.new( :schedule_config, :monitoring_job_definition) include Aws::Structure end |
#schedule_config ⇒ Types::ScheduleConfig
Configures the monitoring schedule.
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# File 'lib/aws-sdk-sagemaker/types.rb', line 15195 class MonitoringScheduleConfig < Struct.new( :schedule_config, :monitoring_job_definition) include Aws::Structure end |