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.LookoutEquipment.Types.ModelSummary

Description

Synopsis

Documentation

data ModelSummary Source #

Provides information about the specified ML model, including dataset and model names and ARNs, as well as status.

See: newModelSummary smart constructor.

Constructors

ModelSummary'

Fields

status :: Maybe ModelStatus
Indicates the status of the ML model.
datasetArn :: Maybe Text
The Amazon Resource Name (ARN) of the dataset used to create the model.
modelArn :: Maybe Text
The Amazon Resource Name (ARN) of the ML model.
createdAt :: Maybe POSIX
The time at which the specific model was created.
modelName :: Maybe Text
The name of the ML model.
datasetName :: Maybe Text
The name of the dataset being used for the ML model.

Instances

Instances details

Eq ModelSummary Source #
Instance details Defined in Amazonka.LookoutEquipment.Types.ModelSummary Methods (==) :: ModelSummary -> ModelSummary -> Bool # (/=) :: ModelSummary -> ModelSummary -> Bool #
Read ModelSummary Source #
Instance details Defined in Amazonka.LookoutEquipment.Types.ModelSummary Methods readsPrec :: Int -> ReadS ModelSummary # readList :: ReadS [ModelSummary] # readPrec :: ReadPrec ModelSummary # readListPrec :: ReadPrec [ModelSummary] #
Show ModelSummary Source #
Instance details Defined in Amazonka.LookoutEquipment.Types.ModelSummary Methods showsPrec :: Int -> ModelSummary -> ShowS # show :: ModelSummary -> String # showList :: [ModelSummary] -> ShowS #
Generic ModelSummary Source #
Instance details Defined in Amazonka.LookoutEquipment.Types.ModelSummary Associated Types type Rep ModelSummary :: Type -> Type # Methods from :: ModelSummary -> Rep ModelSummary x # to :: Rep ModelSummary x -> ModelSummary #
NFData ModelSummary Source #
Instance details Defined in Amazonka.LookoutEquipment.Types.ModelSummary Methods rnf :: ModelSummary -> () #
Hashable ModelSummary Source #
Instance details Defined in Amazonka.LookoutEquipment.Types.ModelSummary Methods hashWithSalt :: Int -> ModelSummary -> Int # hash :: ModelSummary -> Int #
FromJSON ModelSummary Source #
Instance details Defined in Amazonka.LookoutEquipment.Types.ModelSummary Methods parseJSON :: Value -> Parser ModelSummary # parseJSONList :: Value -> Parser [ModelSummary] #
type Rep ModelSummary Source #
Instance details Defined in Amazonka.LookoutEquipment.Types.ModelSummary type Rep ModelSummary = D1 ('MetaData "ModelSummary" "Amazonka.LookoutEquipment.Types.ModelSummary" "libZSservicesZSamazonka-lookoutequipmentZSamazonka-lookoutequipment" 'False) (C1 ('MetaCons "ModelSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelStatus)) :: (S1 ('MetaSel ('Just "datasetArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "modelArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: (S1 ('MetaSel ('Just "createdAt") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "modelName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "datasetName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newModelSummary :: ModelSummary Source #

Create a value of ModelSummary 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:status:ModelSummary', modelSummary_status - Indicates the status of the ML model.

$sel:datasetArn:ModelSummary', modelSummary_datasetArn - The Amazon Resource Name (ARN) of the dataset used to create the model.

$sel:modelArn:ModelSummary', modelSummary_modelArn - The Amazon Resource Name (ARN) of the ML model.

$sel:createdAt:ModelSummary', modelSummary_createdAt - The time at which the specific model was created.

$sel:modelName:ModelSummary', modelSummary_modelName - The name of the ML model.

$sel:datasetName:ModelSummary', modelSummary_datasetName - The name of the dataset being used for the ML model.

modelSummary_status :: Lens' ModelSummary (Maybe ModelStatus) Source #

Indicates the status of the ML model.

modelSummary_datasetArn :: Lens' ModelSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the dataset used to create the model.

modelSummary_modelArn :: Lens' ModelSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the ML model.

modelSummary_createdAt :: Lens' ModelSummary (Maybe UTCTime) Source #

The time at which the specific model was created.

modelSummary_modelName :: Lens' ModelSummary (Maybe Text) Source #

The name of the ML model.

modelSummary_datasetName :: Lens' ModelSummary (Maybe Text) Source #

The name of the dataset being used for the ML model.