Network.AWS.MachineLearning.DescribeEvaluations

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

This operation returns paginated results.

Creating a Request

describeEvaluations :: DescribeEvaluations

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

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

• deEQ - The equal to operator. The Evaluation results will have FilterVariable values that exactly match the value specified with EQ .
• deGE - The greater than or equal to operator. The Evaluation results will have FilterVariable values that are greater than or equal to the value specified with GE .
• dePrefix - A string that is found at the beginning of a variable, such as Name or Id . For example, an Evaluation could have the Name 2014-09-09-HolidayGiftMailer . To search for this Evaluation , select Name for the FilterVariable and any of the following strings for the Prefix : * 2014-09 * 2014-09-09 * 2014-09-09-Holiday
• deGT - The greater than operator. The Evaluation results will have FilterVariable values that are greater than the value specified with GT .
• deNE - The not equal to operator. The Evaluation results will have FilterVariable values not equal to the value specified with NE .
• deNextToken - The ID of the page in the paginated results.
• deSortOrder - A two-value parameter that determines the sequence of the resulting list of Evaluation . * 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 .
• deLimit - The maximum number of Evaluation to include in the result.
• deLT - The less than operator. The Evaluation results will have FilterVariable values that are less than the value specified with LT .
• deFilterVariable - Use one of the following variable to filter a list of Evaluation objects: * CreatedAt - Sets the search criteria to the Evaluation creation date. * Status - Sets the search criteria to the Evaluation status. * Name - Sets the search criteria to the contents of Evaluation ____ Name . * IAMUser - Sets the search criteria to the user account that invoked an Evaluation . * MLModelId - Sets the search criteria to the MLModel that was evaluated. * DataSourceId - Sets the search criteria to the DataSource used in Evaluation . * DataUri - Sets the search criteria to the data file(s) used in Evaluation . The URL can identify either a file or an Amazon Simple Storage Solution (Amazon S3) bucket or directory.
• deLE - The less than or equal to operator. The Evaluation results will have FilterVariable values that are less than or equal to the value specified with LE .

data DescribeEvaluations

See: describeEvaluations smart constructor.

Instances

Eq DescribeEvaluations

Defined in Network.AWS.MachineLearning.DescribeEvaluations

Methods

(==) :: DescribeEvaluations -> DescribeEvaluations -> Bool

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

Data DescribeEvaluations

Defined in Network.AWS.MachineLearning.DescribeEvaluations

Methods

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

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

toConstr :: DescribeEvaluations -> Constr

dataTypeOf :: DescribeEvaluations -> DataType

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

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

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

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

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

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

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

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

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

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

Read DescribeEvaluations

Defined in Network.AWS.MachineLearning.DescribeEvaluations

Methods

readsPrec :: Int -> ReadS DescribeEvaluations

readList :: ReadS [DescribeEvaluations]

readPrec :: ReadPrec DescribeEvaluations

readListPrec :: ReadPrec [DescribeEvaluations]

Show DescribeEvaluations

Defined in Network.AWS.MachineLearning.DescribeEvaluations

Methods

showsPrec :: Int -> DescribeEvaluations -> ShowS

show :: DescribeEvaluations -> String

showList :: [DescribeEvaluations] -> ShowS

Generic DescribeEvaluations

Defined in Network.AWS.MachineLearning.DescribeEvaluations

Associated Types

type Rep DescribeEvaluations :: Type -> Type

Methods

from :: DescribeEvaluations -> Rep DescribeEvaluations x

to :: Rep DescribeEvaluations x -> DescribeEvaluations

Hashable DescribeEvaluations

Defined in Network.AWS.MachineLearning.DescribeEvaluations

Methods

hashWithSalt :: Int -> DescribeEvaluations -> Int

hash :: DescribeEvaluations -> Int

ToJSON DescribeEvaluations

Defined in Network.AWS.MachineLearning.DescribeEvaluations

Methods

toJSON :: DescribeEvaluations -> Value

toEncoding :: DescribeEvaluations -> Encoding

toJSONList :: [DescribeEvaluations] -> Value

toEncodingList :: [DescribeEvaluations] -> Encoding

AWSPager DescribeEvaluations

Defined in Network.AWS.MachineLearning.DescribeEvaluations

Methods

page :: DescribeEvaluations -> Rs DescribeEvaluations -> Maybe DescribeEvaluations

AWSRequest DescribeEvaluations

Defined in Network.AWS.MachineLearning.DescribeEvaluations

Associated Types

type Rs DescribeEvaluations :: Type

Methods

request :: DescribeEvaluations -> Request DescribeEvaluations

response :: (MonadResource m, MonadThrow m) => Logger -> Service -> Proxy DescribeEvaluations -> ClientResponse -> m (Response DescribeEvaluations)

ToHeaders DescribeEvaluations

Defined in Network.AWS.MachineLearning.DescribeEvaluations

Methods

toHeaders :: DescribeEvaluations -> [Header]

ToPath DescribeEvaluations

Defined in Network.AWS.MachineLearning.DescribeEvaluations

Methods

toPath :: DescribeEvaluations -> ByteString

ToQuery DescribeEvaluations

Defined in Network.AWS.MachineLearning.DescribeEvaluations

Methods

toQuery :: DescribeEvaluations -> QueryString

NFData DescribeEvaluations

Defined in Network.AWS.MachineLearning.DescribeEvaluations

Methods

rnf :: DescribeEvaluations -> ()

type Rep DescribeEvaluations

Defined in Network.AWS.MachineLearning.DescribeEvaluations

type Rep DescribeEvaluations = D1 (MetaData "DescribeEvaluations" "Network.AWS.MachineLearning.DescribeEvaluations" "amazonka-ml-1.6.1-CNBnEKh3aOlK9oNc02t7Bw" False) (C1 (MetaCons "DescribeEvaluations'" PrefixI True) (((S1 (MetaSel (Just "_deEQ") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text)) :*: S1 (MetaSel (Just "_deGE") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 (MetaSel (Just "_dePrefix") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 (MetaSel (Just "_deGT") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text)) :*: S1 (MetaSel (Just "_deNE") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text))))) :*: ((S1 (MetaSel (Just "_deNextToken") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 (MetaSel (Just "_deSortOrder") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe SortOrder)) :*: S1 (MetaSel (Just "_deLimit") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Nat)))) :*: (S1 (MetaSel (Just "_deLT") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 (MetaSel (Just "_deFilterVariable") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe EvaluationFilterVariable)) :*: S1 (MetaSel (Just "_deLE") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text)))))))

type Rs DescribeEvaluations

Defined in Network.AWS.MachineLearning.DescribeEvaluations

type Rs DescribeEvaluations = DescribeEvaluationsResponse

Request Lenses

deEQ :: Lens' DescribeEvaluations (Maybe Text)

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

deGE :: Lens' DescribeEvaluations (Maybe Text)

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

dePrefix :: Lens' DescribeEvaluations (Maybe Text)

A string that is found at the beginning of a variable, such as Name or Id . For example, an Evaluation could have the Name 2014-09-09-HolidayGiftMailer . To search for this Evaluation , select Name for the FilterVariable and any of the following strings for the Prefix : * 2014-09 * 2014-09-09 * 2014-09-09-Holiday

deGT :: Lens' DescribeEvaluations (Maybe Text)

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

deNE :: Lens' DescribeEvaluations (Maybe Text)

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

deNextToken :: Lens' DescribeEvaluations (Maybe Text)

The ID of the page in the paginated results.

deSortOrder :: Lens' DescribeEvaluations (Maybe SortOrder)

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

deLimit :: Lens' DescribeEvaluations (Maybe Natural)

The maximum number of Evaluation to include in the result.

deLT :: Lens' DescribeEvaluations (Maybe Text)

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

deFilterVariable :: Lens' DescribeEvaluations (Maybe EvaluationFilterVariable)

Use one of the following variable to filter a list of Evaluation objects: * CreatedAt - Sets the search criteria to the Evaluation creation date. * Status - Sets the search criteria to the Evaluation status. * Name - Sets the search criteria to the contents of Evaluation ____ Name . * IAMUser - Sets the search criteria to the user account that invoked an Evaluation . * MLModelId - Sets the search criteria to the MLModel that was evaluated. * DataSourceId - Sets the search criteria to the DataSource used in Evaluation . * DataUri - Sets the search criteria to the data file(s) used in Evaluation . The URL can identify either a file or an Amazon Simple Storage Solution (Amazon S3) bucket or directory.

deLE :: Lens' DescribeEvaluations (Maybe Text)

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

Destructuring the Response

describeEvaluationsResponse

Arguments

:: Int

desrsResponseStatus

-> DescribeEvaluationsResponse

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

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

• desrsResults - A list of Evaluation that meet the search criteria.
• desrsNextToken - The ID of the next page in the paginated results that indicates at least one more page follows.
• desrsResponseStatus - -- | The response status code.

data DescribeEvaluationsResponse

Represents the query results from a DescribeEvaluations operation. The content is essentially a list of Evaluation .

See: describeEvaluationsResponse smart constructor.

Instances

Eq DescribeEvaluationsResponse

Defined in Network.AWS.MachineLearning.DescribeEvaluations

Methods

(==) :: DescribeEvaluationsResponse -> DescribeEvaluationsResponse -> Bool

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

Data DescribeEvaluationsResponse

Defined in Network.AWS.MachineLearning.DescribeEvaluations

Methods

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

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

toConstr :: DescribeEvaluationsResponse -> Constr

dataTypeOf :: DescribeEvaluationsResponse -> DataType

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

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

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

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

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

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

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

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

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

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

Read DescribeEvaluationsResponse

Defined in Network.AWS.MachineLearning.DescribeEvaluations

Methods

readsPrec :: Int -> ReadS DescribeEvaluationsResponse

readList :: ReadS [DescribeEvaluationsResponse]

readPrec :: ReadPrec DescribeEvaluationsResponse

readListPrec :: ReadPrec [DescribeEvaluationsResponse]

Show DescribeEvaluationsResponse

Defined in Network.AWS.MachineLearning.DescribeEvaluations

Methods

showsPrec :: Int -> DescribeEvaluationsResponse -> ShowS

show :: DescribeEvaluationsResponse -> String

showList :: [DescribeEvaluationsResponse] -> ShowS

Generic DescribeEvaluationsResponse

Defined in Network.AWS.MachineLearning.DescribeEvaluations

Associated Types

type Rep DescribeEvaluationsResponse :: Type -> Type

Methods

from :: DescribeEvaluationsResponse -> Rep DescribeEvaluationsResponse x

to :: Rep DescribeEvaluationsResponse x -> DescribeEvaluationsResponse

NFData DescribeEvaluationsResponse

Defined in Network.AWS.MachineLearning.DescribeEvaluations

Methods

rnf :: DescribeEvaluationsResponse -> ()

type Rep DescribeEvaluationsResponse

Defined in Network.AWS.MachineLearning.DescribeEvaluations

type Rep DescribeEvaluationsResponse = D1 (MetaData "DescribeEvaluationsResponse" "Network.AWS.MachineLearning.DescribeEvaluations" "amazonka-ml-1.6.1-CNBnEKh3aOlK9oNc02t7Bw" False) (C1 (MetaCons "DescribeEvaluationsResponse'" PrefixI True) (S1 (MetaSel (Just "_desrsResults") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe [Evaluation])) :*: (S1 (MetaSel (Just "_desrsNextToken") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text)) :*: S1 (MetaSel (Just "_desrsResponseStatus") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 Int))))

Response Lenses

desrsResults :: Lens' DescribeEvaluationsResponse [Evaluation]

A list of Evaluation that meet the search criteria.

desrsNextToken :: Lens' DescribeEvaluationsResponse (Maybe Text)

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

desrsResponseStatus :: Lens' DescribeEvaluationsResponse Int

• - | The response status code.