Network.AWS.MachineLearning.UpdateMLModel

Updates the MLModelName and the ScoreThreshold of an MLModel.

You can use the GetMLModel operation to view the contents of the updated data element.

Creating a Request

updateMLModel

Arguments

:: Text

umlmMLModelId

-> UpdateMLModel

Creates a value of UpdateMLModel with the minimum fields required to make a request.

Use one of the following lenses to modify other fields as desired:

• umlmMLModelName
• umlmScoreThreshold
• umlmMLModelId

data UpdateMLModel

See: updateMLModel smart constructor.

Instances

Eq UpdateMLModel

Methods

(==) :: UpdateMLModel -> UpdateMLModel -> Bool

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

Data UpdateMLModel

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> UpdateMLModel -> c UpdateMLModel

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c UpdateMLModel

toConstr :: UpdateMLModel -> Constr

dataTypeOf :: UpdateMLModel -> DataType

dataCast1 :: Typeable (* -> *) t => (forall d. Data d => c (t d)) -> Maybe (c UpdateMLModel)

dataCast2 :: Typeable (* -> * -> *) t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c UpdateMLModel)

gmapT :: (forall b. Data b => b -> b) -> UpdateMLModel -> UpdateMLModel

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> UpdateMLModel -> r

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> UpdateMLModel -> r

gmapQ :: (forall d. Data d => d -> u) -> UpdateMLModel -> [u]

gmapQi :: Int -> (forall d. Data d => d -> u) -> UpdateMLModel -> u

gmapM :: Monad m => (forall d. Data d => d -> m d) -> UpdateMLModel -> m UpdateMLModel

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> UpdateMLModel -> m UpdateMLModel

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> UpdateMLModel -> m UpdateMLModel

Read UpdateMLModel

Methods

readsPrec :: Int -> ReadS UpdateMLModel

readList :: ReadS [UpdateMLModel]

readPrec :: ReadPrec UpdateMLModel

readListPrec :: ReadPrec [UpdateMLModel]

Show UpdateMLModel

Methods

showsPrec :: Int -> UpdateMLModel -> ShowS

show :: UpdateMLModel -> String

showList :: [UpdateMLModel] -> ShowS

Generic UpdateMLModel

Associated Types

type Rep UpdateMLModel :: * -> *

Methods

from :: UpdateMLModel -> Rep UpdateMLModel x

to :: Rep UpdateMLModel x -> UpdateMLModel

Hashable UpdateMLModel

Methods

hashWithSalt :: Int -> UpdateMLModel -> Int

hash :: UpdateMLModel -> Int

ToJSON UpdateMLModel

Methods

toJSON :: UpdateMLModel -> Value

toEncoding :: UpdateMLModel -> Encoding

toJSONList :: [UpdateMLModel] -> Value

toEncodingList :: [UpdateMLModel] -> Encoding

NFData UpdateMLModel

Methods

rnf :: UpdateMLModel -> ()

AWSRequest UpdateMLModel

Associated Types

type Rs UpdateMLModel :: *

Methods

request :: UpdateMLModel -> Request UpdateMLModel

response :: MonadResource m => Logger -> Service -> Proxy * UpdateMLModel -> ClientResponse -> m (Response UpdateMLModel)

ToQuery UpdateMLModel

Methods

toQuery :: UpdateMLModel -> QueryString

ToPath UpdateMLModel

Methods

toPath :: UpdateMLModel -> ByteString

ToHeaders UpdateMLModel

Methods

toHeaders :: UpdateMLModel -> [Header]

type Rep UpdateMLModel

type Rep UpdateMLModel = D1 (MetaData "UpdateMLModel" "Network.AWS.MachineLearning.UpdateMLModel" "amazonka-ml-1.4.1-5jDp9fGygLI17rP35njtq9" False) (C1 (MetaCons "UpdateMLModel'" PrefixI True) ((:*:) (S1 (MetaSel (Just Symbol "_umlmMLModelName") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text))) ((:*:) (S1 (MetaSel (Just Symbol "_umlmScoreThreshold") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Double))) (S1 (MetaSel (Just Symbol "_umlmMLModelId") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 Text)))))

type Rs UpdateMLModel

type Rs UpdateMLModel = UpdateMLModelResponse

Request Lenses

umlmMLModelName :: Lens' UpdateMLModel (Maybe Text)

A user-supplied name or description of the MLModel.

umlmScoreThreshold :: Lens' UpdateMLModel (Maybe Double)

The ScoreThreshold used in binary classification MLModel that marks the boundary between a positive prediction and a negative prediction.

Output values greater than or equal to the ScoreThreshold receive a positive result from the MLModel, such as true. Output values less than the ScoreThreshold receive a negative response from the MLModel, such as false.

umlmMLModelId :: Lens' UpdateMLModel Text

The ID assigned to the MLModel during creation.

Destructuring the Response

updateMLModelResponse

Arguments

:: Int

umlmrsResponseStatus

-> UpdateMLModelResponse

Creates a value of UpdateMLModelResponse with the minimum fields required to make a request.

Use one of the following lenses to modify other fields as desired:

• umlmrsMLModelId
• umlmrsResponseStatus

data UpdateMLModelResponse

Represents the output of an UpdateMLModel operation.

You can see the updated content by using the GetMLModel operation.

See: updateMLModelResponse smart constructor.

Instances

Eq UpdateMLModelResponse

Methods

(==) :: UpdateMLModelResponse -> UpdateMLModelResponse -> Bool

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

Data UpdateMLModelResponse

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> UpdateMLModelResponse -> c UpdateMLModelResponse

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c UpdateMLModelResponse

toConstr :: UpdateMLModelResponse -> Constr

dataTypeOf :: UpdateMLModelResponse -> DataType

dataCast1 :: Typeable (* -> *) t => (forall d. Data d => c (t d)) -> Maybe (c UpdateMLModelResponse)

dataCast2 :: Typeable (* -> * -> *) t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c UpdateMLModelResponse)

gmapT :: (forall b. Data b => b -> b) -> UpdateMLModelResponse -> UpdateMLModelResponse

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> UpdateMLModelResponse -> r

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> UpdateMLModelResponse -> r

gmapQ :: (forall d. Data d => d -> u) -> UpdateMLModelResponse -> [u]

gmapQi :: Int -> (forall d. Data d => d -> u) -> UpdateMLModelResponse -> u

gmapM :: Monad m => (forall d. Data d => d -> m d) -> UpdateMLModelResponse -> m UpdateMLModelResponse

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> UpdateMLModelResponse -> m UpdateMLModelResponse

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> UpdateMLModelResponse -> m UpdateMLModelResponse

Read UpdateMLModelResponse

Methods

readsPrec :: Int -> ReadS UpdateMLModelResponse

readList :: ReadS [UpdateMLModelResponse]

readPrec :: ReadPrec UpdateMLModelResponse

readListPrec :: ReadPrec [UpdateMLModelResponse]

Show UpdateMLModelResponse

Methods

showsPrec :: Int -> UpdateMLModelResponse -> ShowS

show :: UpdateMLModelResponse -> String

showList :: [UpdateMLModelResponse] -> ShowS

Generic UpdateMLModelResponse

Associated Types

type Rep UpdateMLModelResponse :: * -> *

Methods

from :: UpdateMLModelResponse -> Rep UpdateMLModelResponse x

to :: Rep UpdateMLModelResponse x -> UpdateMLModelResponse

NFData UpdateMLModelResponse

Methods

rnf :: UpdateMLModelResponse -> ()

type Rep UpdateMLModelResponse

type Rep UpdateMLModelResponse = D1 (MetaData "UpdateMLModelResponse" "Network.AWS.MachineLearning.UpdateMLModel" "amazonka-ml-1.4.1-5jDp9fGygLI17rP35njtq9" False) (C1 (MetaCons "UpdateMLModelResponse'" PrefixI True) ((:*:) (S1 (MetaSel (Just Symbol "_umlmrsMLModelId") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text))) (S1 (MetaSel (Just Symbol "_umlmrsResponseStatus") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 Int))))

Response Lenses

umlmrsMLModelId :: Lens' UpdateMLModelResponse (Maybe Text)

The ID assigned to the MLModel during creation. This value should be identical to the value of the MLModelID in the request.

umlmrsResponseStatus :: Lens' UpdateMLModelResponse Int

The response status code.