Amazonka.SageMaker.Types.InferenceMetrics

Documentation

data InferenceMetrics

The metrics for an existing endpoint compared in an Inference Recommender job.

See: newInferenceMetrics smart constructor.

Constructors

InferenceMetrics'

Fields

• maxInvocations :: Int

  The expected maximum number of requests per minute for the instance.

• modelLatency :: Int

  The expected model latency at maximum invocations per minute for the instance.

Instances

FromJSON InferenceMetrics

Defined in Amazonka.SageMaker.Types.InferenceMetrics

Methods

parseJSON :: Value -> Parser InferenceMetrics

parseJSONList :: Value -> Parser [InferenceMetrics]

Generic InferenceMetrics

Defined in Amazonka.SageMaker.Types.InferenceMetrics

Associated Types

type Rep InferenceMetrics :: Type -> Type

Methods

from :: InferenceMetrics -> Rep InferenceMetrics x

to :: Rep InferenceMetrics x -> InferenceMetrics

Read InferenceMetrics

Defined in Amazonka.SageMaker.Types.InferenceMetrics

Methods

readsPrec :: Int -> ReadS InferenceMetrics

readList :: ReadS [InferenceMetrics]

readPrec :: ReadPrec InferenceMetrics

readListPrec :: ReadPrec [InferenceMetrics]

Show InferenceMetrics

Defined in Amazonka.SageMaker.Types.InferenceMetrics

Methods

showsPrec :: Int -> InferenceMetrics -> ShowS

show :: InferenceMetrics -> String

showList :: [InferenceMetrics] -> ShowS

NFData InferenceMetrics

Defined in Amazonka.SageMaker.Types.InferenceMetrics

Methods

rnf :: InferenceMetrics -> ()

Eq InferenceMetrics

Defined in Amazonka.SageMaker.Types.InferenceMetrics

Methods

(==) :: InferenceMetrics -> InferenceMetrics -> Bool

(/=) :: InferenceMetrics -> InferenceMetrics -> Bool

Hashable InferenceMetrics

Defined in Amazonka.SageMaker.Types.InferenceMetrics

Methods

hashWithSalt :: Int -> InferenceMetrics -> Int

hash :: InferenceMetrics -> Int

type Rep InferenceMetrics

Defined in Amazonka.SageMaker.Types.InferenceMetrics

type Rep InferenceMetrics = D1 ('MetaData "InferenceMetrics" "Amazonka.SageMaker.Types.InferenceMetrics" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "InferenceMetrics'" 'PrefixI 'True) (S1 ('MetaSel ('Just "maxInvocations") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int) :*: S1 ('MetaSel ('Just "modelLatency") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newInferenceMetrics

Arguments

:: Int

$sel:maxInvocations:InferenceMetrics'

-> Int

$sel:modelLatency:InferenceMetrics'

-> InferenceMetrics

Create a value of InferenceMetrics 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:maxInvocations:InferenceMetrics', inferenceMetrics_maxInvocations - The expected maximum number of requests per minute for the instance.

$sel:modelLatency:InferenceMetrics', inferenceMetrics_modelLatency - The expected model latency at maximum invocations per minute for the instance.

inferenceMetrics_maxInvocations :: Lens' InferenceMetrics Int

The expected maximum number of requests per minute for the instance.

inferenceMetrics_modelLatency :: Lens' InferenceMetrics Int

The expected model latency at maximum invocations per minute for the instance.