Copyright	(c) 2013-2021 Brendan Hay
License	Mozilla Public License, v. 2.0.
Maintainer	Brendan Hay <brendan.g.hay+amazonka@gmail.com>
Stability	auto-generated
Portability	non-portable (GHC extensions)
Safe Haskell	None

Amazonka.SageMaker.Types.MonitoringClusterConfig

Description

Documentation

data MonitoringClusterConfig Source #

Configuration for the cluster used to run model monitoring jobs.

See: newMonitoringClusterConfig smart constructor.

Constructors

MonitoringClusterConfig'

Fields

volumeKmsKeyId :: Maybe Text
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the model monitoring job.
instanceCount :: Natural
The number of ML compute instances to use in the model monitoring job. For distributed processing jobs, specify a value greater than 1. The default value is 1.
instanceType :: ProcessingInstanceType
The ML compute instance type for the processing job.
volumeSizeInGB :: Natural
The size of the ML storage volume, in gigabytes, that you want to provision. You must specify sufficient ML storage for your scenario.

Instances

Instances details

Eq MonitoringClusterConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringClusterConfig Methods (==) :: MonitoringClusterConfig -> MonitoringClusterConfig -> Bool # (/=) :: MonitoringClusterConfig -> MonitoringClusterConfig -> Bool #
Read MonitoringClusterConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringClusterConfig Methods readsPrec :: Int -> ReadS MonitoringClusterConfig # readList :: ReadS [MonitoringClusterConfig] # readPrec :: ReadPrec MonitoringClusterConfig # readListPrec :: ReadPrec [MonitoringClusterConfig] #
Show MonitoringClusterConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringClusterConfig Methods showsPrec :: Int -> MonitoringClusterConfig -> ShowS # show :: MonitoringClusterConfig -> String # showList :: [MonitoringClusterConfig] -> ShowS #
Generic MonitoringClusterConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringClusterConfig Associated Types type Rep MonitoringClusterConfig :: Type -> Type # Methods from :: MonitoringClusterConfig -> Rep MonitoringClusterConfig x # to :: Rep MonitoringClusterConfig x -> MonitoringClusterConfig #
NFData MonitoringClusterConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringClusterConfig Methods rnf :: MonitoringClusterConfig -> () #
Hashable MonitoringClusterConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringClusterConfig Methods hashWithSalt :: Int -> MonitoringClusterConfig -> Int # hash :: MonitoringClusterConfig -> Int #
ToJSON MonitoringClusterConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringClusterConfig Methods toJSON :: MonitoringClusterConfig -> Value # toEncoding :: MonitoringClusterConfig -> Encoding # toJSONList :: [MonitoringClusterConfig] -> Value # toEncodingList :: [MonitoringClusterConfig] -> Encoding #
FromJSON MonitoringClusterConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringClusterConfig Methods parseJSON :: Value -> Parser MonitoringClusterConfig # parseJSONList :: Value -> Parser [MonitoringClusterConfig] #
type Rep MonitoringClusterConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringClusterConfig type Rep MonitoringClusterConfig = D1 ('MetaData "MonitoringClusterConfig" "Amazonka.SageMaker.Types.MonitoringClusterConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "MonitoringClusterConfig'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "volumeKmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "instanceCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural)) :: (S1 ('MetaSel ('Just "instanceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ProcessingInstanceType) :*: S1 ('MetaSel ('Just "volumeSizeInGB") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural))))

newMonitoringClusterConfig Source #

Arguments

:: Natural	`$sel:instanceCount:MonitoringClusterConfig'`
-> ProcessingInstanceType	`$sel:instanceType:MonitoringClusterConfig'`
-> Natural	`$sel:volumeSizeInGB:MonitoringClusterConfig'`
-> MonitoringClusterConfig

Create a value of MonitoringClusterConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:volumeKmsKeyId:MonitoringClusterConfig', monitoringClusterConfig_volumeKmsKeyId - The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the model monitoring job.

$sel:instanceCount:MonitoringClusterConfig', monitoringClusterConfig_instanceCount - The number of ML compute instances to use in the model monitoring job. For distributed processing jobs, specify a value greater than 1. The default value is 1.

$sel:instanceType:MonitoringClusterConfig', monitoringClusterConfig_instanceType - The ML compute instance type for the processing job.

$sel:volumeSizeInGB:MonitoringClusterConfig', monitoringClusterConfig_volumeSizeInGB - The size of the ML storage volume, in gigabytes, that you want to provision. You must specify sufficient ML storage for your scenario.

monitoringClusterConfig_volumeKmsKeyId :: Lens' MonitoringClusterConfig (Maybe Text) Source #

The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the model monitoring job.

monitoringClusterConfig_instanceCount :: Lens' MonitoringClusterConfig Natural Source #

The number of ML compute instances to use in the model monitoring job. For distributed processing jobs, specify a value greater than 1. The default value is 1.

monitoringClusterConfig_instanceType :: Lens' MonitoringClusterConfig ProcessingInstanceType Source #

The ML compute instance type for the processing job.

monitoringClusterConfig_volumeSizeInGB :: Lens' MonitoringClusterConfig Natural Source #

The size of the ML storage volume, in gigabytes, that you want to provision. You must specify sufficient ML storage for your scenario.