amazonka-sagemaker-1.6.1: Amazon SageMaker Service 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.SageMaker.DescribeTrainingJob

Contents

Description

Returns information about a training job.

Synopsis

Creating a Request

describeTrainingJob Source #

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

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

data DescribeTrainingJob Source #

See: describeTrainingJob smart constructor.

Instances
Eq DescribeTrainingJob Source # 
Instance details

Defined in Network.AWS.SageMaker.DescribeTrainingJob

Data DescribeTrainingJob Source # 
Instance details

Defined in Network.AWS.SageMaker.DescribeTrainingJob

Methods

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

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

toConstr :: DescribeTrainingJob -> Constr #

dataTypeOf :: DescribeTrainingJob -> DataType #

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

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

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

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

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

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

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

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

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

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

Read DescribeTrainingJob Source # 
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Show DescribeTrainingJob Source # 
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Generic DescribeTrainingJob Source # 
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Associated Types

type Rep DescribeTrainingJob :: Type -> Type #

Hashable DescribeTrainingJob Source # 
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ToJSON DescribeTrainingJob Source # 
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AWSRequest DescribeTrainingJob Source # 
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Associated Types

type Rs DescribeTrainingJob :: Type #

ToHeaders DescribeTrainingJob Source # 
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ToPath DescribeTrainingJob Source # 
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ToQuery DescribeTrainingJob Source # 
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NFData DescribeTrainingJob Source # 
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Methods

rnf :: DescribeTrainingJob -> () #

type Rep DescribeTrainingJob Source # 
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Defined in Network.AWS.SageMaker.DescribeTrainingJob

type Rep DescribeTrainingJob = D1 (MetaData "DescribeTrainingJob" "Network.AWS.SageMaker.DescribeTrainingJob" "amazonka-sagemaker-1.6.1-KSR3FgWuE9u23bvJsHopKu" True) (C1 (MetaCons "DescribeTrainingJob'" PrefixI True) (S1 (MetaSel (Just "_dtjTrainingJobName") NoSourceUnpackedness NoSourceStrictness DecidedLazy) (Rec0 Text)))
type Rs DescribeTrainingJob Source # 
Instance details

Defined in Network.AWS.SageMaker.DescribeTrainingJob

Request Lenses

dtjTrainingJobName :: Lens' DescribeTrainingJob Text Source #

The name of the training job.

Destructuring the Response

describeTrainingJobResponse Source #

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

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

  • dtjrsFailureReason - If the training job failed, the reason it failed.
  • dtjrsTrainingEndTime - A timestamp that indicates when model training ended.
  • dtjrsLastModifiedTime - A timestamp that indicates when the status of the training job was last modified.
  • dtjrsHyperParameters - Algorithm-specific parameters.
  • dtjrsVPCConfig - A object that specifies the VPC that this training job has access to. For more information, see 'train-vpc' .
  • dtjrsOutputDataConfig - The S3 path where model artifacts that you configured when creating the job are stored. Amazon SageMaker creates subfolders for model artifacts.
  • dtjrsTrainingStartTime - A timestamp that indicates when training started.
  • dtjrsRoleARN - The AWS Identity and Access Management (IAM) role configured for the training job.
  • dtjrsResponseStatus - -- | The response status code.
  • dtjrsTrainingJobName - Name of the model training job.
  • dtjrsTrainingJobARN - The Amazon Resource Name (ARN) of the training job.
  • dtjrsModelArtifacts - Information about the Amazon S3 location that is configured for storing model artifacts.
  • dtjrsTrainingJobStatus - The status of the training job. For the InProgress status, Amazon SageMaker can return these secondary statuses: * Starting - Preparing for training. * Downloading - Optional stage for algorithms that support File training input mode. It indicates data is being downloaded to ML storage volumes. * Training - Training is in progress. * Uploading - Training is complete and model upload is in progress. For the Stopped training status, Amazon SageMaker can return these secondary statuses: * MaxRuntimeExceeded - Job stopped as a result of maximum allowed runtime exceeded.
  • dtjrsSecondaryStatus - Provides granular information about the system state. For more information, see TrainingJobStatus .
  • dtjrsAlgorithmSpecification - Information about the algorithm used for training, and algorithm metadata.
  • dtjrsInputDataConfig - An array of Channel objects that describes each data input channel.
  • dtjrsResourceConfig - Resources, including ML compute instances and ML storage volumes, that are configured for model training.
  • dtjrsStoppingCondition - The condition under which to stop the training job.
  • dtjrsCreationTime - A timestamp that indicates when the training job was created.

data DescribeTrainingJobResponse Source #

See: describeTrainingJobResponse smart constructor.

Instances
Eq DescribeTrainingJobResponse Source # 
Instance details

Defined in Network.AWS.SageMaker.DescribeTrainingJob

Data DescribeTrainingJobResponse Source # 
Instance details

Defined in Network.AWS.SageMaker.DescribeTrainingJob

Methods

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

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

toConstr :: DescribeTrainingJobResponse -> Constr #

dataTypeOf :: DescribeTrainingJobResponse -> DataType #

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

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

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

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

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

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

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

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

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

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

Read DescribeTrainingJobResponse Source # 
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Defined in Network.AWS.SageMaker.DescribeTrainingJob

Show DescribeTrainingJobResponse Source # 
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Generic DescribeTrainingJobResponse Source # 
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Defined in Network.AWS.SageMaker.DescribeTrainingJob

Associated Types

type Rep DescribeTrainingJobResponse :: Type -> Type #

NFData DescribeTrainingJobResponse Source # 
Instance details

Defined in Network.AWS.SageMaker.DescribeTrainingJob

type Rep DescribeTrainingJobResponse Source # 
Instance details

Defined in Network.AWS.SageMaker.DescribeTrainingJob

type Rep DescribeTrainingJobResponse = D1 (MetaData "DescribeTrainingJobResponse" "Network.AWS.SageMaker.DescribeTrainingJob" "amazonka-sagemaker-1.6.1-KSR3FgWuE9u23bvJsHopKu" False) (C1 (MetaCons "DescribeTrainingJobResponse'" PrefixI True) ((((S1 (MetaSel (Just "_dtjrsFailureReason") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text)) :*: S1 (MetaSel (Just "_dtjrsTrainingEndTime") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe POSIX))) :*: (S1 (MetaSel (Just "_dtjrsLastModifiedTime") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 (MetaSel (Just "_dtjrsHyperParameters") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe (Map Text Text))))) :*: ((S1 (MetaSel (Just "_dtjrsVPCConfig") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe VPCConfig)) :*: S1 (MetaSel (Just "_dtjrsOutputDataConfig") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe OutputDataConfig))) :*: (S1 (MetaSel (Just "_dtjrsTrainingStartTime") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe POSIX)) :*: (S1 (MetaSel (Just "_dtjrsRoleARN") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text)) :*: S1 (MetaSel (Just "_dtjrsResponseStatus") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 Int))))) :*: (((S1 (MetaSel (Just "_dtjrsTrainingJobName") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 Text) :*: S1 (MetaSel (Just "_dtjrsTrainingJobARN") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 Text)) :*: (S1 (MetaSel (Just "_dtjrsModelArtifacts") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 ModelArtifacts) :*: (S1 (MetaSel (Just "_dtjrsTrainingJobStatus") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 TrainingJobStatus) :*: S1 (MetaSel (Just "_dtjrsSecondaryStatus") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 SecondaryStatus)))) :*: ((S1 (MetaSel (Just "_dtjrsAlgorithmSpecification") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 AlgorithmSpecification) :*: S1 (MetaSel (Just "_dtjrsInputDataConfig") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (List1 Channel))) :*: (S1 (MetaSel (Just "_dtjrsResourceConfig") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 ResourceConfig) :*: (S1 (MetaSel (Just "_dtjrsStoppingCondition") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 StoppingCondition) :*: S1 (MetaSel (Just "_dtjrsCreationTime") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 POSIX)))))))

Response Lenses

dtjrsFailureReason :: Lens' DescribeTrainingJobResponse (Maybe Text) Source #

If the training job failed, the reason it failed.

dtjrsTrainingEndTime :: Lens' DescribeTrainingJobResponse (Maybe UTCTime) Source #

A timestamp that indicates when model training ended.

dtjrsLastModifiedTime :: Lens' DescribeTrainingJobResponse (Maybe UTCTime) Source #

A timestamp that indicates when the status of the training job was last modified.

dtjrsVPCConfig :: Lens' DescribeTrainingJobResponse (Maybe VPCConfig) Source #

A object that specifies the VPC that this training job has access to. For more information, see 'train-vpc' .

dtjrsOutputDataConfig :: Lens' DescribeTrainingJobResponse (Maybe OutputDataConfig) Source #

The S3 path where model artifacts that you configured when creating the job are stored. Amazon SageMaker creates subfolders for model artifacts.

dtjrsTrainingStartTime :: Lens' DescribeTrainingJobResponse (Maybe UTCTime) Source #

A timestamp that indicates when training started.

dtjrsRoleARN :: Lens' DescribeTrainingJobResponse (Maybe Text) Source #

The AWS Identity and Access Management (IAM) role configured for the training job.

dtjrsTrainingJobARN :: Lens' DescribeTrainingJobResponse Text Source #

The Amazon Resource Name (ARN) of the training job.

dtjrsModelArtifacts :: Lens' DescribeTrainingJobResponse ModelArtifacts Source #

Information about the Amazon S3 location that is configured for storing model artifacts.

dtjrsTrainingJobStatus :: Lens' DescribeTrainingJobResponse TrainingJobStatus Source #

The status of the training job. For the InProgress status, Amazon SageMaker can return these secondary statuses: * Starting - Preparing for training. * Downloading - Optional stage for algorithms that support File training input mode. It indicates data is being downloaded to ML storage volumes. * Training - Training is in progress. * Uploading - Training is complete and model upload is in progress. For the Stopped training status, Amazon SageMaker can return these secondary statuses: * MaxRuntimeExceeded - Job stopped as a result of maximum allowed runtime exceeded.

dtjrsSecondaryStatus :: Lens' DescribeTrainingJobResponse SecondaryStatus Source #

Provides granular information about the system state. For more information, see TrainingJobStatus .

dtjrsAlgorithmSpecification :: Lens' DescribeTrainingJobResponse AlgorithmSpecification Source #

Information about the algorithm used for training, and algorithm metadata.

dtjrsInputDataConfig :: Lens' DescribeTrainingJobResponse (NonEmpty Channel) Source #

An array of Channel objects that describes each data input channel.

dtjrsResourceConfig :: Lens' DescribeTrainingJobResponse ResourceConfig Source #

Resources, including ML compute instances and ML storage volumes, that are configured for model training.

dtjrsStoppingCondition :: Lens' DescribeTrainingJobResponse StoppingCondition Source #

The condition under which to stop the training job.

dtjrsCreationTime :: Lens' DescribeTrainingJobResponse UTCTime Source #

A timestamp that indicates when the training job was created.