| Copyright | (c) 2013-2018 Brendan Hay |
|---|---|
| License | Mozilla Public License, v. 2.0. |
| Maintainer | Brendan Hay <brendan.g.hay+amazonka@gmail.com> |
| Stability | auto-generated |
| Portability | non-portable (GHC extensions) |
| Safe Haskell | None |
| Language | Haskell2010 |
Network.AWS.SageMaker.DescribeTrainingJob
Description
Returns information about a training job.
Synopsis
- describeTrainingJob :: Text -> DescribeTrainingJob
- data DescribeTrainingJob
- dtjTrainingJobName :: Lens' DescribeTrainingJob Text
- describeTrainingJobResponse :: Int -> Text -> Text -> ModelArtifacts -> TrainingJobStatus -> SecondaryStatus -> AlgorithmSpecification -> NonEmpty Channel -> ResourceConfig -> StoppingCondition -> UTCTime -> DescribeTrainingJobResponse
- data DescribeTrainingJobResponse
- dtjrsFailureReason :: Lens' DescribeTrainingJobResponse (Maybe Text)
- dtjrsTrainingEndTime :: Lens' DescribeTrainingJobResponse (Maybe UTCTime)
- dtjrsLastModifiedTime :: Lens' DescribeTrainingJobResponse (Maybe UTCTime)
- dtjrsHyperParameters :: Lens' DescribeTrainingJobResponse (HashMap Text Text)
- dtjrsVPCConfig :: Lens' DescribeTrainingJobResponse (Maybe VPCConfig)
- dtjrsOutputDataConfig :: Lens' DescribeTrainingJobResponse (Maybe OutputDataConfig)
- dtjrsTrainingStartTime :: Lens' DescribeTrainingJobResponse (Maybe UTCTime)
- dtjrsRoleARN :: Lens' DescribeTrainingJobResponse (Maybe Text)
- dtjrsResponseStatus :: Lens' DescribeTrainingJobResponse Int
- dtjrsTrainingJobName :: Lens' DescribeTrainingJobResponse Text
- dtjrsTrainingJobARN :: Lens' DescribeTrainingJobResponse Text
- dtjrsModelArtifacts :: Lens' DescribeTrainingJobResponse ModelArtifacts
- dtjrsTrainingJobStatus :: Lens' DescribeTrainingJobResponse TrainingJobStatus
- dtjrsSecondaryStatus :: Lens' DescribeTrainingJobResponse SecondaryStatus
- dtjrsAlgorithmSpecification :: Lens' DescribeTrainingJobResponse AlgorithmSpecification
- dtjrsInputDataConfig :: Lens' DescribeTrainingJobResponse (NonEmpty Channel)
- dtjrsResourceConfig :: Lens' DescribeTrainingJobResponse ResourceConfig
- dtjrsStoppingCondition :: Lens' DescribeTrainingJobResponse StoppingCondition
- dtjrsCreationTime :: Lens' DescribeTrainingJobResponse UTCTime
Creating a Request
Arguments
| :: Text | |
| -> DescribeTrainingJob |
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:
dtjTrainingJobName- The name of the training job.
data DescribeTrainingJob Source #
See: describeTrainingJob smart constructor.
Instances
Request Lenses
dtjTrainingJobName :: Lens' DescribeTrainingJob Text Source #
The name of the training job.
Destructuring the Response
describeTrainingJobResponse Source #
Arguments
| :: Int | |
| -> Text | |
| -> Text | |
| -> ModelArtifacts | |
| -> TrainingJobStatus | |
| -> SecondaryStatus | |
| -> AlgorithmSpecification | |
| -> NonEmpty Channel | |
| -> ResourceConfig | |
| -> StoppingCondition | |
| -> UTCTime | |
| -> DescribeTrainingJobResponse |
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 theInProgressstatus, 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 theStoppedtraining 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, seeTrainingJobStatus.dtjrsAlgorithmSpecification- Information about the algorithm used for training, and algorithm metadata.dtjrsInputDataConfig- An array ofChannelobjects 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
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.
dtjrsHyperParameters :: Lens' DescribeTrainingJobResponse (HashMap Text Text) Source #
Algorithm-specific parameters.
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.
dtjrsResponseStatus :: Lens' DescribeTrainingJobResponse Int Source #
- - | The response status code.
dtjrsTrainingJobName :: Lens' DescribeTrainingJobResponse Text Source #
Name of the model 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.