amazonka-ml-1.4.5: 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.DescribeMLModels

Contents

Description

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

This operation returns paginated results.

Synopsis

Creating a Request

describeMLModels :: DescribeMLModels Source #

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 Source #

See: describeMLModels smart constructor.

Instances

Eq DescribeMLModels Source # 
Data DescribeMLModels Source # 

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 Source # 
Show DescribeMLModels Source # 
Generic DescribeMLModels Source # 
Hashable DescribeMLModels Source # 
ToJSON DescribeMLModels Source # 
NFData DescribeMLModels Source # 

Methods

rnf :: DescribeMLModels -> () #

AWSPager DescribeMLModels Source # 
AWSRequest DescribeMLModels Source # 
ToPath DescribeMLModels Source # 
ToHeaders DescribeMLModels Source # 
ToQuery DescribeMLModels Source # 
type Rep DescribeMLModels Source # 
type Rep DescribeMLModels = D1 (MetaData "DescribeMLModels" "Network.AWS.MachineLearning.DescribeMLModels" "amazonka-ml-1.4.5-CMIVJd26kUuC9koT2Uj5Uh" 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 Source # 

Request Lenses

dmlmEQ :: Lens' DescribeMLModels (Maybe Text) Source #

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

dmlmGE :: Lens' DescribeMLModels (Maybe Text) Source #

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) Source #

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) Source #

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) Source #

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) Source #

The ID of the page in the paginated results.

dmlmSortOrder :: Lens' DescribeMLModels (Maybe SortOrder) Source #

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) 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 .

dmlmLT :: Lens' DescribeMLModels (Maybe Text) Source #

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) Source #

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) Source #

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 Source #

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:

data DescribeMLModelsResponse Source #

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

See: describeMLModelsResponse smart constructor.

Instances

Eq DescribeMLModelsResponse Source # 
Data DescribeMLModelsResponse Source # 

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 Source # 
Show DescribeMLModelsResponse Source # 
Generic DescribeMLModelsResponse Source # 
NFData DescribeMLModelsResponse Source # 
type Rep DescribeMLModelsResponse Source # 
type Rep DescribeMLModelsResponse = D1 (MetaData "DescribeMLModelsResponse" "Network.AWS.MachineLearning.DescribeMLModels" "amazonka-ml-1.4.5-CMIVJd26kUuC9koT2Uj5Uh" 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 DecidedUnpack) (Rec0 Int)))))

Response Lenses

dmlmsrsResults :: Lens' DescribeMLModelsResponse [MLModel] Source #

A list of MLModel that meet the search criteria.

dmlmsrsNextToken :: Lens' DescribeMLModelsResponse (Maybe Text) Source #

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