Amazonka.MachineLearning.Predict

Generates a prediction for the observation using the specified ML Model.

Note: Not all response parameters will be populated. Whether a response parameter is populated depends on the type of model requested.

Creating a Request

data Predict

See: newPredict smart constructor.

Constructors

Predict'

Fields

• mLModelId :: Text

  A unique identifier of the MLModel.

• record :: HashMap Text Text
• predictEndpoint :: Text

Instances

ToJSON Predict

Defined in Amazonka.MachineLearning.Predict

Methods

toJSON :: Predict -> Value

toEncoding :: Predict -> Encoding

toJSONList :: [Predict] -> Value

toEncodingList :: [Predict] -> Encoding

ToHeaders Predict

Defined in Amazonka.MachineLearning.Predict

Methods

toHeaders :: Predict -> [Header]

ToPath Predict

Defined in Amazonka.MachineLearning.Predict

Methods

toPath :: Predict -> ByteString

ToQuery Predict

Defined in Amazonka.MachineLearning.Predict

Methods

toQuery :: Predict -> QueryString

AWSRequest Predict

Defined in Amazonka.MachineLearning.Predict

Associated Types

type AWSResponse Predict

Methods

request :: (Service -> Service) -> Predict -> Request Predict

response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy Predict -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse Predict)))

Generic Predict

Defined in Amazonka.MachineLearning.Predict

Associated Types

type Rep Predict :: Type -> Type

Methods

from :: Predict -> Rep Predict x

to :: Rep Predict x -> Predict

Read Predict

Defined in Amazonka.MachineLearning.Predict

Methods

readsPrec :: Int -> ReadS Predict

readList :: ReadS [Predict]

readPrec :: ReadPrec Predict

readListPrec :: ReadPrec [Predict]

Show Predict

Defined in Amazonka.MachineLearning.Predict

Methods

showsPrec :: Int -> Predict -> ShowS

show :: Predict -> String

showList :: [Predict] -> ShowS

NFData Predict

Defined in Amazonka.MachineLearning.Predict

Methods

rnf :: Predict -> ()

Eq Predict

Defined in Amazonka.MachineLearning.Predict

Methods

(==) :: Predict -> Predict -> Bool

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

Hashable Predict

Defined in Amazonka.MachineLearning.Predict

Methods

hashWithSalt :: Int -> Predict -> Int

hash :: Predict -> Int

type AWSResponse Predict

Defined in Amazonka.MachineLearning.Predict

type AWSResponse Predict = PredictResponse

type Rep Predict

Defined in Amazonka.MachineLearning.Predict

type Rep Predict = D1 ('MetaData "Predict" "Amazonka.MachineLearning.Predict" "amazonka-ml-2.0-A3JLJ63WvmfHxGBBIqhdRA" 'False) (C1 ('MetaCons "Predict'" 'PrefixI 'True) (S1 ('MetaSel ('Just "mLModelId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: (S1 ('MetaSel ('Just "record") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (HashMap Text Text)) :*: S1 ('MetaSel ('Just "predictEndpoint") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newPredict

Arguments

:: Text

Predict

-> Text

$sel:predictEndpoint:Predict'

-> Predict

Create a value of Predict 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:

Predict, predict_mLModelId - A unique identifier of the MLModel.

$sel:record:Predict', predict_record - Undocumented member.

$sel:predictEndpoint:Predict', predict_predictEndpoint - Undocumented member.

Request Lenses

predict_mLModelId :: Lens' Predict Text

A unique identifier of the MLModel.

predict_record :: Lens' Predict (HashMap Text Text)

Undocumented member.

predict_predictEndpoint :: Lens' Predict Text

Undocumented member.

Destructuring the Response

data PredictResponse

See: newPredictResponse smart constructor.

Constructors

PredictResponse'

Fields

• prediction :: Maybe Prediction
• httpStatus :: Int

  The response's http status code.

Instances

Generic PredictResponse

Defined in Amazonka.MachineLearning.Predict

Associated Types

type Rep PredictResponse :: Type -> Type

Methods

from :: PredictResponse -> Rep PredictResponse x

to :: Rep PredictResponse x -> PredictResponse

Read PredictResponse

Defined in Amazonka.MachineLearning.Predict

Methods

readsPrec :: Int -> ReadS PredictResponse

readList :: ReadS [PredictResponse]

readPrec :: ReadPrec PredictResponse

readListPrec :: ReadPrec [PredictResponse]

Show PredictResponse

Defined in Amazonka.MachineLearning.Predict

Methods

showsPrec :: Int -> PredictResponse -> ShowS

show :: PredictResponse -> String

showList :: [PredictResponse] -> ShowS

NFData PredictResponse

Defined in Amazonka.MachineLearning.Predict

Methods

rnf :: PredictResponse -> ()

Eq PredictResponse

Defined in Amazonka.MachineLearning.Predict

Methods

(==) :: PredictResponse -> PredictResponse -> Bool

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

type Rep PredictResponse

Defined in Amazonka.MachineLearning.Predict

type Rep PredictResponse = D1 ('MetaData "PredictResponse" "Amazonka.MachineLearning.Predict" "amazonka-ml-2.0-A3JLJ63WvmfHxGBBIqhdRA" 'False) (C1 ('MetaCons "PredictResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "prediction") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Prediction)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newPredictResponse

Arguments

:: Int

$sel:httpStatus:PredictResponse'

-> PredictResponse

Create a value of PredictResponse 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:prediction:PredictResponse', predictResponse_prediction - Undocumented member.

$sel:httpStatus:PredictResponse', predictResponse_httpStatus - The response's http status code.

Response Lenses

predictResponse_prediction :: Lens' PredictResponse (Maybe Prediction)

Undocumented member.

predictResponse_httpStatus :: Lens' PredictResponse Int

The response's http status code.