Amazonka.LookoutEquipment.Types.ModelSummary

Documentation

data ModelSummary

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

• createdAt :: Maybe POSIX

  The time at which the specific model was created.

• datasetArn :: Maybe Text

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

• datasetName :: Maybe Text

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

• modelArn :: Maybe Text

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

• modelName :: Maybe Text

  The name of the ML model.

• status :: Maybe ModelStatus

  Indicates the status of the ML model.

Instances

FromJSON ModelSummary

Defined in Amazonka.LookoutEquipment.Types.ModelSummary

Methods

parseJSON :: Value -> Parser ModelSummary

parseJSONList :: Value -> Parser [ModelSummary]

Generic ModelSummary

Defined in Amazonka.LookoutEquipment.Types.ModelSummary

Associated Types

type Rep ModelSummary :: Type -> Type

Methods

from :: ModelSummary -> Rep ModelSummary x

to :: Rep ModelSummary x -> ModelSummary

Read ModelSummary

Defined in Amazonka.LookoutEquipment.Types.ModelSummary

Methods

readsPrec :: Int -> ReadS ModelSummary

readList :: ReadS [ModelSummary]

readPrec :: ReadPrec ModelSummary

readListPrec :: ReadPrec [ModelSummary]

Show ModelSummary

Defined in Amazonka.LookoutEquipment.Types.ModelSummary

Methods

showsPrec :: Int -> ModelSummary -> ShowS

show :: ModelSummary -> String

showList :: [ModelSummary] -> ShowS

NFData ModelSummary

Defined in Amazonka.LookoutEquipment.Types.ModelSummary

Methods

rnf :: ModelSummary -> ()

Eq ModelSummary

Defined in Amazonka.LookoutEquipment.Types.ModelSummary

Methods

(==) :: ModelSummary -> ModelSummary -> Bool

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

Hashable ModelSummary

Defined in Amazonka.LookoutEquipment.Types.ModelSummary

Methods

hashWithSalt :: Int -> ModelSummary -> Int

hash :: ModelSummary -> Int

type Rep ModelSummary

Defined in Amazonka.LookoutEquipment.Types.ModelSummary

type Rep ModelSummary = D1 ('MetaData "ModelSummary" "Amazonka.LookoutEquipment.Types.ModelSummary" "amazonka-lookoutequipment-2.0-FBtgEViQ46F6elHeNaa8oC" 'False) (C1 ('MetaCons "ModelSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "createdAt") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: (S1 ('MetaSel ('Just "datasetArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "datasetName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :*: (S1 ('MetaSel ('Just "modelArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "modelName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelStatus))))))

newModelSummary :: ModelSummary

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

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

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

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

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

$sel:status:ModelSummary', modelSummary_status - Indicates the status of the ML model.

modelSummary_createdAt :: Lens' ModelSummary (Maybe UTCTime)

The time at which the specific model was created.

modelSummary_datasetArn :: Lens' ModelSummary (Maybe Text)

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

modelSummary_datasetName :: Lens' ModelSummary (Maybe Text)

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

modelSummary_modelArn :: Lens' ModelSummary (Maybe Text)

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

modelSummary_modelName :: Lens' ModelSummary (Maybe Text)

The name of the ML model.

modelSummary_status :: Lens' ModelSummary (Maybe ModelStatus)

Indicates the status of the ML model.