amazonka-ml-1.6.1: Amazon Machine Learning SDK.

Copyright(c) 2013-2018 Brendan Hay
LicenseMozilla Public License, v. 2.0.
MaintainerBrendan Hay <brendan.g.hay+amazonka@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:

  • dbpEQ - The equal to operator. The BatchPrediction results will have FilterVariable values that exactly match the value specified with EQ .
  • dbpGE - 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 - 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 - The greater than operator. The BatchPrediction results will have FilterVariable values that are greater than the value specified with GT .
  • dbpNE - The not equal to operator. The BatchPrediction results will have FilterVariable values not equal to the value specified with NE .
  • dbpNextToken - An ID of the page in the paginated results.
  • dbpSortOrder - A two-value parameter that determines the sequence of the resulting list of MLModel s. * 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 - 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 - The less than operator. The BatchPrediction results will have FilterVariable values that are less than the value specified with LT .
  • dbpFilterVariable - 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 - 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 .

data DescribeBatchPredictions Source #

See: describeBatchPredictions smart constructor.

Instances
Eq DescribeBatchPredictions Source # 
Instance details

Defined in Network.AWS.MachineLearning.DescribeBatchPredictions

Data DescribeBatchPredictions Source # 
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Defined in Network.AWS.MachineLearning.DescribeBatchPredictions

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 # 
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Defined in Network.AWS.MachineLearning.DescribeBatchPredictions

Show DescribeBatchPredictions Source # 
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Generic DescribeBatchPredictions Source # 
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Associated Types

type Rep DescribeBatchPredictions :: Type -> Type #

Hashable DescribeBatchPredictions Source # 
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ToJSON DescribeBatchPredictions Source # 
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AWSPager DescribeBatchPredictions Source # 
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AWSRequest DescribeBatchPredictions Source # 
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Associated Types

type Rs DescribeBatchPredictions :: Type #

ToHeaders DescribeBatchPredictions Source # 
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ToPath DescribeBatchPredictions Source # 
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ToQuery DescribeBatchPredictions Source # 
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NFData DescribeBatchPredictions Source # 
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type Rep DescribeBatchPredictions Source # 
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Defined in Network.AWS.MachineLearning.DescribeBatchPredictions

type Rs DescribeBatchPredictions Source # 
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Defined in Network.AWS.MachineLearning.DescribeBatchPredictions

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 MLModel s. * 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:

  • dbpsrsResults - A list of BatchPrediction objects that meet the search criteria.
  • dbpsrsNextToken - The ID of the next page in the paginated results that indicates at least one more page follows.
  • dbpsrsResponseStatus - -- | The response status code.

data DescribeBatchPredictionsResponse Source #

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

See: describeBatchPredictionsResponse smart constructor.

Instances
Eq DescribeBatchPredictionsResponse Source # 
Instance details

Defined in Network.AWS.MachineLearning.DescribeBatchPredictions

Data DescribeBatchPredictionsResponse Source # 
Instance details

Defined in Network.AWS.MachineLearning.DescribeBatchPredictions

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 # 
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Defined in Network.AWS.MachineLearning.DescribeBatchPredictions

Show DescribeBatchPredictionsResponse Source # 
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Defined in Network.AWS.MachineLearning.DescribeBatchPredictions

Generic DescribeBatchPredictionsResponse Source # 
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Associated Types

type Rep DescribeBatchPredictionsResponse :: Type -> Type #

NFData DescribeBatchPredictionsResponse Source # 
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Defined in Network.AWS.MachineLearning.DescribeBatchPredictions

type Rep DescribeBatchPredictionsResponse Source # 
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Defined in Network.AWS.MachineLearning.DescribeBatchPredictions

type Rep DescribeBatchPredictionsResponse = D1 (MetaData "DescribeBatchPredictionsResponse" "Network.AWS.MachineLearning.DescribeBatchPredictions" "amazonka-ml-1.6.1-CNBnEKh3aOlK9oNc02t7Bw" False) (C1 (MetaCons "DescribeBatchPredictionsResponse'" PrefixI True) (S1 (MetaSel (Just "_dbpsrsResults") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe [BatchPrediction])) :*: (S1 (MetaSel (Just "_dbpsrsNextToken") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text)) :*: S1 (MetaSel (Just "_dbpsrsResponseStatus") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 Int))))

Response Lenses

dbpsrsResults :: Lens' DescribeBatchPredictionsResponse [BatchPrediction] Source #

A list of BatchPrediction objects that meet the search criteria.

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

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