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.MachineLearning.Predict

Contents

Creating a Request
Request Lenses
Destructuring the Response
Response Lenses

Description

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.

Synopsis

data Predict = Predict' {
- mLModelId :: Text
- record :: HashMap Text Text
- predictEndpoint :: Text
}
newPredict :: Text -> Text -> Predict
predict_mLModelId :: Lens' Predict Text
predict_record :: Lens' Predict (HashMap Text Text)
predict_predictEndpoint :: Lens' Predict Text
data PredictResponse = PredictResponse' {
- prediction :: Maybe Prediction
- httpStatus :: Int
}
newPredictResponse :: Int -> PredictResponse
predictResponse_prediction :: Lens' PredictResponse (Maybe Prediction)
predictResponse_httpStatus :: Lens' PredictResponse Int

Creating a Request

data Predict Source #

See: newPredict smart constructor.

Constructors

Predict'
Fields mLModelId :: Text A unique identifier of the `MLModel`. record :: HashMap Text Text predictEndpoint :: Text

Instances

Instances details

Eq Predict Source #
Instance details Defined in Amazonka.MachineLearning.Predict Methods (==) :: Predict -> Predict -> Bool # (/=) :: Predict -> Predict -> Bool #
Read Predict Source #
Instance details Defined in Amazonka.MachineLearning.Predict Methods readsPrec :: Int -> ReadS Predict # readList :: ReadS [Predict] # readPrec :: ReadPrec Predict # readListPrec :: ReadPrec [Predict] #
Show Predict Source #
Instance details Defined in Amazonka.MachineLearning.Predict Methods showsPrec :: Int -> Predict -> ShowS # show :: Predict -> String # showList :: [Predict] -> ShowS #
Generic Predict Source #
Instance details Defined in Amazonka.MachineLearning.Predict Associated Types type Rep Predict :: Type -> Type # Methods from :: Predict -> Rep Predict x # to :: Rep Predict x -> Predict #
NFData Predict Source #
Instance details Defined in Amazonka.MachineLearning.Predict Methods rnf :: Predict -> () #
Hashable Predict Source #
Instance details Defined in Amazonka.MachineLearning.Predict Methods hashWithSalt :: Int -> Predict -> Int # hash :: Predict -> Int #
ToJSON Predict Source #
Instance details Defined in Amazonka.MachineLearning.Predict Methods toJSON :: Predict -> Value # toEncoding :: Predict -> Encoding # toJSONList :: [Predict] -> Value # toEncodingList :: [Predict] -> Encoding #
AWSRequest Predict Source #
Instance details Defined in Amazonka.MachineLearning.Predict Associated Types type AWSResponse Predict # Methods request :: Predict -> Request Predict # response :: MonadResource m => Logger -> Service -> Proxy Predict -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse Predict))) #
ToHeaders Predict Source #
Instance details Defined in Amazonka.MachineLearning.Predict Methods toHeaders :: Predict -> [Header] #
ToPath Predict Source #
Instance details Defined in Amazonka.MachineLearning.Predict Methods toPath :: Predict -> ByteString #
ToQuery Predict Source #
Instance details Defined in Amazonka.MachineLearning.Predict Methods toQuery :: Predict -> QueryString #
type Rep Predict Source #
Instance details Defined in Amazonka.MachineLearning.Predict type Rep Predict = D1 ('MetaData "Predict" "Amazonka.MachineLearning.Predict" "libZSservicesZSamazonka-mlZSamazonka-ml" '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))))
type AWSResponse Predict Source #
Instance details Defined in Amazonka.MachineLearning.Predict type AWSResponse Predict = PredictResponse

newPredict Source #

Arguments

:: Text	`$sel:mLModelId:Predict'`
-> Text	`$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:

$sel:mLModelId: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 Source #

A unique identifier of the MLModel.

predict_record :: Lens' Predict (HashMap Text Text) Source #

Undocumented member.

predict_predictEndpoint :: Lens' Predict Text Source #

Undocumented member.

Destructuring the Response

data PredictResponse Source #

See: newPredictResponse smart constructor.

Constructors

PredictResponse'
Fields prediction :: Maybe Prediction httpStatus :: Int The response's http status code.

Instances

Instances details

Eq PredictResponse Source #
Instance details Defined in Amazonka.MachineLearning.Predict Methods (==) :: PredictResponse -> PredictResponse -> Bool # (/=) :: PredictResponse -> PredictResponse -> Bool #
Read PredictResponse Source #
Instance details Defined in Amazonka.MachineLearning.Predict Methods readsPrec :: Int -> ReadS PredictResponse # readList :: ReadS [PredictResponse] # readPrec :: ReadPrec PredictResponse # readListPrec :: ReadPrec [PredictResponse] #
Show PredictResponse Source #
Instance details Defined in Amazonka.MachineLearning.Predict Methods showsPrec :: Int -> PredictResponse -> ShowS # show :: PredictResponse -> String # showList :: [PredictResponse] -> ShowS #
Generic PredictResponse Source #
Instance details Defined in Amazonka.MachineLearning.Predict Associated Types type Rep PredictResponse :: Type -> Type # Methods from :: PredictResponse -> Rep PredictResponse x # to :: Rep PredictResponse x -> PredictResponse #
NFData PredictResponse Source #
Instance details Defined in Amazonka.MachineLearning.Predict Methods rnf :: PredictResponse -> () #
type Rep PredictResponse Source #
Instance details Defined in Amazonka.MachineLearning.Predict type Rep PredictResponse = D1 ('MetaData "PredictResponse" "Amazonka.MachineLearning.Predict" "libZSservicesZSamazonka-mlZSamazonka-ml" '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 Source #

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) Source #

Undocumented member.

predictResponse_httpStatus :: Lens' PredictResponse Int Source #

The response's http status code.