amazonka-ml-1.4.3: Amazon Machine Learning SDK.

Copyright(c) 2013-2016 Brendan Hay
LicenseMozilla Public License, v. 2.0.
MaintainerBrendan Hay <brendan.g.hay@gmail.com>
Stabilityauto-generated
Portabilitynon-portable (GHC extensions)
Safe HaskellNone
LanguageHaskell2010

Network.AWS.MachineLearning.DescribeBatchPredictions

Contents

Description

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

This operation returns paginated results.

Synopsis

Creating a Request

describeBatchPredictions :: DescribeBatchPredictions Source #

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

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

data DescribeBatchPredictions Source #

See: describeBatchPredictions smart constructor.

Instances

Eq DescribeBatchPredictions Source # 
Data DescribeBatchPredictions Source # 

Methods

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

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

toConstr :: DescribeBatchPredictions -> Constr #

dataTypeOf :: DescribeBatchPredictions -> DataType #

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

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

gmapT :: (forall b. Data b => b -> b) -> DescribeBatchPredictions -> DescribeBatchPredictions #

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

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

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

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

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

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

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

Read DescribeBatchPredictions Source # 
Show DescribeBatchPredictions Source # 
Generic DescribeBatchPredictions Source # 
ToJSON DescribeBatchPredictions Source # 
Hashable DescribeBatchPredictions Source # 
NFData DescribeBatchPredictions Source # 
AWSPager DescribeBatchPredictions Source # 
AWSRequest DescribeBatchPredictions Source # 
ToPath DescribeBatchPredictions Source # 
ToHeaders DescribeBatchPredictions Source # 
ToQuery DescribeBatchPredictions Source # 
type Rep DescribeBatchPredictions Source # 
type Rep DescribeBatchPredictions = D1 (MetaData "DescribeBatchPredictions" "Network.AWS.MachineLearning.DescribeBatchPredictions" "amazonka-ml-1.4.3-DbYWzKGDN8K1aNJlQiNb67" False) (C1 (MetaCons "DescribeBatchPredictions'" PrefixI True) ((:*:) ((:*:) ((:*:) (S1 (MetaSel (Just Symbol "_dbpEQ") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text))) (S1 (MetaSel (Just Symbol "_dbpGE") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text)))) ((:*:) (S1 (MetaSel (Just Symbol "_dbpPrefix") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text))) ((:*:) (S1 (MetaSel (Just Symbol "_dbpGT") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text))) (S1 (MetaSel (Just Symbol "_dbpNE") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text)))))) ((:*:) ((:*:) (S1 (MetaSel (Just Symbol "_dbpNextToken") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text))) ((:*:) (S1 (MetaSel (Just Symbol "_dbpSortOrder") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe SortOrder))) (S1 (MetaSel (Just Symbol "_dbpLimit") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Nat))))) ((:*:) (S1 (MetaSel (Just Symbol "_dbpLT") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text))) ((:*:) (S1 (MetaSel (Just Symbol "_dbpFilterVariable") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe BatchPredictionFilterVariable))) (S1 (MetaSel (Just Symbol "_dbpLE") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text))))))))
type Rs DescribeBatchPredictions Source # 

Request Lenses

dbpEQ :: Lens' DescribeBatchPredictions (Maybe Text) Source #

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

dbpGE :: Lens' DescribeBatchPredictions (Maybe Text) Source #

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

dbpPrefix :: Lens' DescribeBatchPredictions (Maybe Text) Source #

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

For example, a 'Batch Prediction' operation could have the Name '2014-09-09-HolidayGiftMailer'. To search for this BatchPrediction, select Name for the FilterVariable and any of the following strings for the Prefix:

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

dbpGT :: Lens' DescribeBatchPredictions (Maybe Text) Source #

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

dbpNE :: Lens' DescribeBatchPredictions (Maybe Text) Source #

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

dbpNextToken :: Lens' DescribeBatchPredictions (Maybe Text) Source #

An ID of the page in the paginated results.

dbpSortOrder :: Lens' DescribeBatchPredictions (Maybe SortOrder) Source #

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

  • 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.

dbpLimit :: Lens' DescribeBatchPredictions (Maybe Natural) Source #

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.

dbpLT :: Lens' DescribeBatchPredictions (Maybe Text) Source #

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

dbpFilterVariable :: Lens' DescribeBatchPredictions (Maybe BatchPredictionFilterVariable) Source #

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

  • CreatedAt - Sets the search criteria to the BatchPrediction creation date.
  • Status - Sets the search criteria to the BatchPrediction status.
  • Name - Sets the search criteria to the contents of the BatchPrediction ____ Name.
  • IAMUser - Sets the search criteria to the user account that invoked the BatchPrediction creation.
  • MLModelId - Sets the search criteria to the MLModel used in the BatchPrediction.
  • DataSourceId - Sets the search criteria to the DataSource used in the BatchPrediction.
  • DataURI - Sets the search criteria to the data file(s) used in the BatchPrediction. The URL can identify either a file or an Amazon Simple Storage Solution (Amazon S3) bucket or directory.

dbpLE :: Lens' DescribeBatchPredictions (Maybe Text) Source #

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

Destructuring the Response

describeBatchPredictionsResponse Source #

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

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

data DescribeBatchPredictionsResponse Source #

Represents the output of a DescribeBatchPredictions operation. The content is essentially a list of BatchPredictions.

See: describeBatchPredictionsResponse smart constructor.

Instances

Eq DescribeBatchPredictionsResponse Source # 
Data DescribeBatchPredictionsResponse Source # 

Methods

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

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

toConstr :: DescribeBatchPredictionsResponse -> Constr #

dataTypeOf :: DescribeBatchPredictionsResponse -> DataType #

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

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

gmapT :: (forall b. Data b => b -> b) -> DescribeBatchPredictionsResponse -> DescribeBatchPredictionsResponse #

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

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

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

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

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

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

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

Read DescribeBatchPredictionsResponse Source # 
Show DescribeBatchPredictionsResponse Source # 
Generic DescribeBatchPredictionsResponse Source # 
NFData DescribeBatchPredictionsResponse Source # 
type Rep DescribeBatchPredictionsResponse Source # 
type Rep DescribeBatchPredictionsResponse = D1 (MetaData "DescribeBatchPredictionsResponse" "Network.AWS.MachineLearning.DescribeBatchPredictions" "amazonka-ml-1.4.3-DbYWzKGDN8K1aNJlQiNb67" False) (C1 (MetaCons "DescribeBatchPredictionsResponse'" PrefixI True) ((:*:) (S1 (MetaSel (Just Symbol "_drsResults") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe [BatchPrediction]))) ((:*:) (S1 (MetaSel (Just Symbol "_drsNextToken") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text))) (S1 (MetaSel (Just Symbol "_drsResponseStatus") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 Int)))))

Response Lenses

drsResults :: Lens' DescribeBatchPredictionsResponse [BatchPrediction] Source #

A list of BatchPrediction objects that meet the search criteria.

drsNextToken :: Lens' DescribeBatchPredictionsResponse (Maybe Text) Source #

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