Network.AWS.MachineLearning.DescribeMLModels

Returns a list of MLModel that match the search criteria in the request.

This operation returns paginated results.

Creating a Request

describeMLModels :: DescribeMLModels

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

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

• dmlmEQ
• dmlmGE
• dmlmPrefix
• dmlmGT
• dmlmNE
• dmlmNextToken
• dmlmSortOrder
• dmlmLimit
• dmlmLT
• dmlmFilterVariable
• dmlmLE

data DescribeMLModels

See: describeMLModels smart constructor.

Instances

Eq DescribeMLModels

Methods

(==) :: DescribeMLModels -> DescribeMLModels -> Bool

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

Data DescribeMLModels

Methods

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

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

toConstr :: DescribeMLModels -> Constr

dataTypeOf :: DescribeMLModels -> DataType

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

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

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

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

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

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

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

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

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

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

Read DescribeMLModels

Methods

readsPrec :: Int -> ReadS DescribeMLModels

readList :: ReadS [DescribeMLModels]

readPrec :: ReadPrec DescribeMLModels

readListPrec :: ReadPrec [DescribeMLModels]

Show DescribeMLModels

Methods

showsPrec :: Int -> DescribeMLModels -> ShowS

show :: DescribeMLModels -> String

showList :: [DescribeMLModels] -> ShowS

Generic DescribeMLModels

Associated Types

type Rep DescribeMLModels :: * -> *

Methods

from :: DescribeMLModels -> Rep DescribeMLModels x

to :: Rep DescribeMLModels x -> DescribeMLModels

ToJSON DescribeMLModels

Methods

toJSON :: DescribeMLModels -> Value

toEncoding :: DescribeMLModels -> Encoding

Hashable DescribeMLModels

Methods

hashWithSalt :: Int -> DescribeMLModels -> Int

hash :: DescribeMLModels -> Int

NFData DescribeMLModels

Methods

rnf :: DescribeMLModels -> ()

AWSPager DescribeMLModels

Methods

page :: DescribeMLModels -> Rs DescribeMLModels -> Maybe DescribeMLModels

AWSRequest DescribeMLModels

Associated Types

type Rs DescribeMLModels :: *

Methods

request :: DescribeMLModels -> Request DescribeMLModels

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

ToPath DescribeMLModels

Methods

toPath :: DescribeMLModels -> ByteString

ToHeaders DescribeMLModels

Methods

toHeaders :: DescribeMLModels -> [Header]

ToQuery DescribeMLModels

Methods

toQuery :: DescribeMLModels -> QueryString

type Rep DescribeMLModels

type Rep DescribeMLModels = D1 (MetaData "DescribeMLModels" "Network.AWS.MachineLearning.DescribeMLModels" "amazonka-ml-1.4.2-HF6krfipW1H3AFW7IkLncg" False) (C1 (MetaCons "DescribeMLModels'" PrefixI True) ((:*:) ((:*:) ((:*:) (S1 (MetaSel (Just Symbol "_dmlmEQ") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text))) (S1 (MetaSel (Just Symbol "_dmlmGE") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text)))) ((:*:) (S1 (MetaSel (Just Symbol "_dmlmPrefix") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text))) ((:*:) (S1 (MetaSel (Just Symbol "_dmlmGT") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text))) (S1 (MetaSel (Just Symbol "_dmlmNE") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text)))))) ((:*:) ((:*:) (S1 (MetaSel (Just Symbol "_dmlmNextToken") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text))) ((:*:) (S1 (MetaSel (Just Symbol "_dmlmSortOrder") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe SortOrder))) (S1 (MetaSel (Just Symbol "_dmlmLimit") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Nat))))) ((:*:) (S1 (MetaSel (Just Symbol "_dmlmLT") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text))) ((:*:) (S1 (MetaSel (Just Symbol "_dmlmFilterVariable") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe MLModelFilterVariable))) (S1 (MetaSel (Just Symbol "_dmlmLE") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text))))))))

type Rs DescribeMLModels

type Rs DescribeMLModels = DescribeMLModelsResponse

Request Lenses

dmlmEQ :: Lens' DescribeMLModels (Maybe Text)

The equal to operator. The MLModel results will have FilterVariable values that exactly match the value specified with EQ.

dmlmGE :: Lens' DescribeMLModels (Maybe Text)

The greater than or equal to operator. The MLModel results will have FilterVariable values that are greater than or equal to the value specified with GE.

dmlmPrefix :: Lens' DescribeMLModels (Maybe Text)

A string that is found at the beginning of a variable, such as Name or Id.

For example, an MLModel could have the Name '2014-09-09-HolidayGiftMailer'. To search for this MLModel, select Name for the FilterVariable and any of the following strings for the Prefix:

• 2014-09
• 2014-09-09
• 2014-09-09-Holiday

dmlmGT :: Lens' DescribeMLModels (Maybe Text)

The greater than operator. The MLModel results will have FilterVariable values that are greater than the value specified with GT.

dmlmNE :: Lens' DescribeMLModels (Maybe Text)

The not equal to operator. The MLModel results will have FilterVariable values not equal to the value specified with NE.

dmlmNextToken :: Lens' DescribeMLModels (Maybe Text)

The ID of the page in the paginated results.

dmlmSortOrder :: Lens' DescribeMLModels (Maybe SortOrder)

A two-value parameter that determines the sequence of the resulting list of MLModel.

• asc - Arranges the list in ascending order (A-Z, 0-9).
• dsc - Arranges the list in descending order (Z-A, 9-0).

Results are sorted by FilterVariable.

dmlmLimit :: Lens' DescribeMLModels (Maybe Natural)

The number of pages of information to include in the result. The range of acceptable values is 1 through 100. The default value is 100.

dmlmLT :: Lens' DescribeMLModels (Maybe Text)

The less than operator. The MLModel results will have FilterVariable values that are less than the value specified with LT.

dmlmFilterVariable :: Lens' DescribeMLModels (Maybe MLModelFilterVariable)

Use one of the following variables to filter a list of MLModel:

• CreatedAt - Sets the search criteria to MLModel creation date.
• Status - Sets the search criteria to MLModel status.
• Name - Sets the search criteria to the contents of MLModel ____ Name.
• IAMUser - Sets the search criteria to the user account that invoked the MLModel creation.
• TrainingDataSourceId - Sets the search criteria to the DataSource used to train one or more MLModel.
• RealtimeEndpointStatus - Sets the search criteria to the MLModel real-time endpoint status.
• MLModelType - Sets the search criteria to MLModel type: binary, regression, or multi-class.
• Algorithm - Sets the search criteria to the algorithm that the MLModel uses.
• TrainingDataURI - Sets the search criteria to the data file(s) used in training a MLModel. The URL can identify either a file or an Amazon Simple Storage Service (Amazon S3) bucket or directory.

dmlmLE :: Lens' DescribeMLModels (Maybe Text)

The less than or equal to operator. The MLModel results will have FilterVariable values that are less than or equal to the value specified with LE.

Destructuring the Response

describeMLModelsResponse

Arguments

:: Int

dmlmsrsResponseStatus

-> DescribeMLModelsResponse

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

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

• dmlmsrsResults
• dmlmsrsNextToken
• dmlmsrsResponseStatus

data DescribeMLModelsResponse

Represents the output of a DescribeMLModels operation. The content is essentially a list of MLModel.

See: describeMLModelsResponse smart constructor.

Instances

Eq DescribeMLModelsResponse

Methods

(==) :: DescribeMLModelsResponse -> DescribeMLModelsResponse -> Bool

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

Data DescribeMLModelsResponse

Methods

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

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

toConstr :: DescribeMLModelsResponse -> Constr

dataTypeOf :: DescribeMLModelsResponse -> DataType

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

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

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

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

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

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

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

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

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

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

Read DescribeMLModelsResponse

Methods

readsPrec :: Int -> ReadS DescribeMLModelsResponse

readList :: ReadS [DescribeMLModelsResponse]

readPrec :: ReadPrec DescribeMLModelsResponse

readListPrec :: ReadPrec [DescribeMLModelsResponse]

Show DescribeMLModelsResponse

Methods

showsPrec :: Int -> DescribeMLModelsResponse -> ShowS

show :: DescribeMLModelsResponse -> String

showList :: [DescribeMLModelsResponse] -> ShowS

Generic DescribeMLModelsResponse

Associated Types

type Rep DescribeMLModelsResponse :: * -> *

Methods

from :: DescribeMLModelsResponse -> Rep DescribeMLModelsResponse x

to :: Rep DescribeMLModelsResponse x -> DescribeMLModelsResponse

NFData DescribeMLModelsResponse

Methods

rnf :: DescribeMLModelsResponse -> ()

type Rep DescribeMLModelsResponse

type Rep DescribeMLModelsResponse = D1 (MetaData "DescribeMLModelsResponse" "Network.AWS.MachineLearning.DescribeMLModels" "amazonka-ml-1.4.2-HF6krfipW1H3AFW7IkLncg" False) (C1 (MetaCons "DescribeMLModelsResponse'" PrefixI True) ((:*:) (S1 (MetaSel (Just Symbol "_dmlmsrsResults") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe [MLModel]))) ((:*:) (S1 (MetaSel (Just Symbol "_dmlmsrsNextToken") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text))) (S1 (MetaSel (Just Symbol "_dmlmsrsResponseStatus") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 Int)))))

Response Lenses

dmlmsrsResults :: Lens' DescribeMLModelsResponse [MLModel]

A list of MLModel that meet the search criteria.

dmlmsrsNextToken :: Lens' DescribeMLModelsResponse (Maybe Text)

The ID of the next page in the paginated results that indicates at least one more page follows.

dmlmsrsResponseStatus :: Lens' DescribeMLModelsResponse Int

The response status code.