Copyright	(c) 2013-2023 Brendan Hay
License	Mozilla Public License, v. 2.0.
Maintainer	Brendan Hay
Stability	auto-generated
Portability	non-portable (GHC extensions)
Safe Haskell	Safe-Inferred
Language	Haskell2010

Amazonka.SageMaker.Types.HyperParameterTuningInstanceConfig

Description

Documentation

data HyperParameterTuningInstanceConfig Source #

The configuration for hyperparameter tuning resources for use in training jobs launched by the tuning job. These resources include compute instances and storage volumes. Specify one or more compute instance configurations and allocation strategies to select resources (optional).

See: newHyperParameterTuningInstanceConfig smart constructor.

Constructors

HyperParameterTuningInstanceConfig'

Fields

instanceType :: TrainingInstanceType
The instance type used for processing of hyperparameter optimization jobs. Choose from general purpose (no GPUs) instance types: ml.m5.xlarge, ml.m5.2xlarge, and ml.m5.4xlarge or compute optimized (no GPUs) instance types: ml.c5.xlarge and ml.c5.2xlarge. For more information about instance types, see instance type descriptions.
instanceCount :: Natural
The number of instances of the type specified by InstanceType. Choose an instance count larger than 1 for distributed training algorithms. See SageMaker distributed training jobs for more informcration.
volumeSizeInGB :: Natural
The volume size in GB of the data to be processed for hyperparameter optimization (optional).

Instances

Instances details

FromJSON HyperParameterTuningInstanceConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningInstanceConfig Methods parseJSON :: Value -> Parser HyperParameterTuningInstanceConfig # parseJSONList :: Value -> Parser [HyperParameterTuningInstanceConfig] #
ToJSON HyperParameterTuningInstanceConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningInstanceConfig Methods toJSON :: HyperParameterTuningInstanceConfig -> Value # toEncoding :: HyperParameterTuningInstanceConfig -> Encoding # toJSONList :: [HyperParameterTuningInstanceConfig] -> Value # toEncodingList :: [HyperParameterTuningInstanceConfig] -> Encoding #
Generic HyperParameterTuningInstanceConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningInstanceConfig Associated Types type Rep HyperParameterTuningInstanceConfig :: Type -> Type # Methods from :: HyperParameterTuningInstanceConfig -> Rep HyperParameterTuningInstanceConfig x # to :: Rep HyperParameterTuningInstanceConfig x -> HyperParameterTuningInstanceConfig #
Read HyperParameterTuningInstanceConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningInstanceConfig Methods readsPrec :: Int -> ReadS HyperParameterTuningInstanceConfig # readList :: ReadS [HyperParameterTuningInstanceConfig] # readPrec :: ReadPrec HyperParameterTuningInstanceConfig # readListPrec :: ReadPrec [HyperParameterTuningInstanceConfig] #
Show HyperParameterTuningInstanceConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningInstanceConfig Methods showsPrec :: Int -> HyperParameterTuningInstanceConfig -> ShowS # show :: HyperParameterTuningInstanceConfig -> String # showList :: [HyperParameterTuningInstanceConfig] -> ShowS #
NFData HyperParameterTuningInstanceConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningInstanceConfig Methods rnf :: HyperParameterTuningInstanceConfig -> () #
Eq HyperParameterTuningInstanceConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningInstanceConfig Methods (==) :: HyperParameterTuningInstanceConfig -> HyperParameterTuningInstanceConfig -> Bool # (/=) :: HyperParameterTuningInstanceConfig -> HyperParameterTuningInstanceConfig -> Bool #
Hashable HyperParameterTuningInstanceConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningInstanceConfig Methods hashWithSalt :: Int -> HyperParameterTuningInstanceConfig -> Int # hash :: HyperParameterTuningInstanceConfig -> Int #
type Rep HyperParameterTuningInstanceConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningInstanceConfig type Rep HyperParameterTuningInstanceConfig = D1 ('MetaData "HyperParameterTuningInstanceConfig" "Amazonka.SageMaker.Types.HyperParameterTuningInstanceConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "HyperParameterTuningInstanceConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "instanceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 TrainingInstanceType) :: (S1 ('MetaSel ('Just "instanceCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural) :: S1 ('MetaSel ('Just "volumeSizeInGB") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural))))

newHyperParameterTuningInstanceConfig Source #

Arguments

:: TrainingInstanceType	`$sel:instanceType:HyperParameterTuningInstanceConfig'`
-> Natural	`$sel:instanceCount:HyperParameterTuningInstanceConfig'`
-> Natural	`$sel:volumeSizeInGB:HyperParameterTuningInstanceConfig'`
-> HyperParameterTuningInstanceConfig

Create a value of HyperParameterTuningInstanceConfig 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:instanceType:HyperParameterTuningInstanceConfig', hyperParameterTuningInstanceConfig_instanceType - The instance type used for processing of hyperparameter optimization jobs. Choose from general purpose (no GPUs) instance types: ml.m5.xlarge, ml.m5.2xlarge, and ml.m5.4xlarge or compute optimized (no GPUs) instance types: ml.c5.xlarge and ml.c5.2xlarge. For more information about instance types, see instance type descriptions.

$sel:instanceCount:HyperParameterTuningInstanceConfig', hyperParameterTuningInstanceConfig_instanceCount - The number of instances of the type specified by InstanceType. Choose an instance count larger than 1 for distributed training algorithms. See SageMaker distributed training jobs for more informcration.

$sel:volumeSizeInGB:HyperParameterTuningInstanceConfig', hyperParameterTuningInstanceConfig_volumeSizeInGB - The volume size in GB of the data to be processed for hyperparameter optimization (optional).

hyperParameterTuningInstanceConfig_instanceType :: Lens' HyperParameterTuningInstanceConfig TrainingInstanceType Source #

The instance type used for processing of hyperparameter optimization jobs. Choose from general purpose (no GPUs) instance types: ml.m5.xlarge, ml.m5.2xlarge, and ml.m5.4xlarge or compute optimized (no GPUs) instance types: ml.c5.xlarge and ml.c5.2xlarge. For more information about instance types, see instance type descriptions.

hyperParameterTuningInstanceConfig_instanceCount :: Lens' HyperParameterTuningInstanceConfig Natural Source #

The number of instances of the type specified by InstanceType. Choose an instance count larger than 1 for distributed training algorithms. See SageMaker distributed training jobs for more informcration.

hyperParameterTuningInstanceConfig_volumeSizeInGB :: Lens' HyperParameterTuningInstanceConfig Natural Source #

The volume size in GB of the data to be processed for hyperparameter optimization (optional).