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 - The equal to operator. The MLModel results will have FilterVariable values that exactly match the value specified with EQ .
• dmlmGE - 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 - 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 - The greater than operator. The MLModel results will have FilterVariable values that are greater than the value specified with GT .
• dmlmNE - The not equal to operator. The MLModel results will have FilterVariable values not equal to the value specified with NE .
• dmlmNextToken - The ID of the page in the paginated results.
• dmlmSortOrder - 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 - 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 - The less than operator. The MLModel results will have FilterVariable values that are less than the value specified with LT .
• dmlmFilterVariable - 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 - 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 .

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

Hashable DescribeMLModels

Methods

hashWithSalt :: Int -> DescribeMLModels -> Int

hash :: DescribeMLModels -> Int

ToJSON DescribeMLModels

Methods

toJSON :: DescribeMLModels -> Value

toEncoding :: DescribeMLModels -> Encoding

toJSONList :: [DescribeMLModels] -> Value

toEncodingList :: [DescribeMLModels] -> Encoding

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, MonadThrow m) => Logger -> Service -> Proxy * DescribeMLModels -> ClientResponse -> m (Response DescribeMLModels)

ToHeaders DescribeMLModels

Methods

toHeaders :: DescribeMLModels -> [Header]

ToPath DescribeMLModels

Methods

toPath :: DescribeMLModels -> ByteString

ToQuery DescribeMLModels

Methods

toQuery :: DescribeMLModels -> QueryString

type Rep DescribeMLModels

type Rep DescribeMLModels = D1 * (MetaData "DescribeMLModels" "Network.AWS.MachineLearning.DescribeMLModels" "amazonka-ml-1.6.0-Ieesuz5Kri8FW4cNPxVPkB" 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 - A list of MLModel that meet the search criteria.
• dmlmsrsNextToken - The ID of the next page in the paginated results that indicates at least one more page follows.
• dmlmsrsResponseStatus - -- | The response status code.

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-1.6.0-Ieesuz5Kri8FW4cNPxVPkB" 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.