amazonka-sagemaker-2.0: Amazon SageMaker Service SDK.
Copyright(c) 2013-2023 Brendan Hay
LicenseMozilla Public License, v. 2.0.
MaintainerBrendan Hay
Stabilityauto-generated
Portabilitynon-portable (GHC extensions)
Safe HaskellSafe-Inferred
LanguageHaskell2010

Amazonka.SageMaker.DescribeAutoMLJob

Description

Returns information about an Amazon SageMaker AutoML job.

Synopsis

Creating a Request

data DescribeAutoMLJob Source #

See: newDescribeAutoMLJob smart constructor.

Constructors

DescribeAutoMLJob' 

Fields

Instances

Instances details
ToJSON DescribeAutoMLJob Source # 
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ToHeaders DescribeAutoMLJob Source # 
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ToPath DescribeAutoMLJob Source # 
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ToQuery DescribeAutoMLJob Source # 
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AWSRequest DescribeAutoMLJob Source # 
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Associated Types

type AWSResponse DescribeAutoMLJob #

Generic DescribeAutoMLJob Source # 
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Associated Types

type Rep DescribeAutoMLJob :: Type -> Type #

Read DescribeAutoMLJob Source # 
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Show DescribeAutoMLJob Source # 
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NFData DescribeAutoMLJob Source # 
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Methods

rnf :: DescribeAutoMLJob -> () #

Eq DescribeAutoMLJob Source # 
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Hashable DescribeAutoMLJob Source # 
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type AWSResponse DescribeAutoMLJob Source # 
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type Rep DescribeAutoMLJob Source # 
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type Rep DescribeAutoMLJob = D1 ('MetaData "DescribeAutoMLJob" "Amazonka.SageMaker.DescribeAutoMLJob" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "DescribeAutoMLJob'" 'PrefixI 'True) (S1 ('MetaSel ('Just "autoMLJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newDescribeAutoMLJob Source #

Create a value of DescribeAutoMLJob with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

DescribeAutoMLJob, describeAutoMLJob_autoMLJobName - Requests information about an AutoML job using its unique name.

Request Lenses

describeAutoMLJob_autoMLJobName :: Lens' DescribeAutoMLJob Text Source #

Requests information about an AutoML job using its unique name.

Destructuring the Response

data DescribeAutoMLJobResponse Source #

See: newDescribeAutoMLJobResponse smart constructor.

Constructors

DescribeAutoMLJobResponse' 

Fields

Instances

Instances details
Generic DescribeAutoMLJobResponse Source # 
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Associated Types

type Rep DescribeAutoMLJobResponse :: Type -> Type #

Read DescribeAutoMLJobResponse Source # 
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Show DescribeAutoMLJobResponse Source # 
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NFData DescribeAutoMLJobResponse Source # 
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Eq DescribeAutoMLJobResponse Source # 
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type Rep DescribeAutoMLJobResponse Source # 
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type Rep DescribeAutoMLJobResponse = D1 ('MetaData "DescribeAutoMLJobResponse" "Amazonka.SageMaker.DescribeAutoMLJob" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "DescribeAutoMLJobResponse'" 'PrefixI 'True) ((((S1 ('MetaSel ('Just "autoMLJobArtifacts") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AutoMLJobArtifacts)) :*: S1 ('MetaSel ('Just "autoMLJobConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AutoMLJobConfig))) :*: (S1 ('MetaSel ('Just "autoMLJobObjective") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AutoMLJobObjective)) :*: (S1 ('MetaSel ('Just "bestCandidate") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AutoMLCandidate)) :*: S1 ('MetaSel ('Just "endTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))))) :*: ((S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "generateCandidateDefinitionsOnly") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :*: S1 ('MetaSel ('Just "modelDeployConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelDeployConfig)))) :*: (S1 ('MetaSel ('Just "modelDeployResult") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelDeployResult)) :*: (S1 ('MetaSel ('Just "partialFailureReasons") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty AutoMLPartialFailureReason))) :*: S1 ('MetaSel ('Just "problemType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProblemType)))))) :*: (((S1 ('MetaSel ('Just "resolvedAttributes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ResolvedAttributes)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)) :*: (S1 ('MetaSel ('Just "autoMLJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: (S1 ('MetaSel ('Just "autoMLJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "inputDataConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty AutoMLChannel))))) :*: ((S1 ('MetaSel ('Just "outputDataConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 AutoMLOutputDataConfig) :*: (S1 ('MetaSel ('Just "roleArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX))) :*: (S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :*: (S1 ('MetaSel ('Just "autoMLJobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 AutoMLJobStatus) :*: S1 ('MetaSel ('Just "autoMLJobSecondaryStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 AutoMLJobSecondaryStatus)))))))

newDescribeAutoMLJobResponse Source #

Create a value of DescribeAutoMLJobResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:autoMLJobArtifacts:DescribeAutoMLJobResponse', describeAutoMLJobResponse_autoMLJobArtifacts - Returns information on the job's artifacts found in AutoMLJobArtifacts.

$sel:autoMLJobConfig:DescribeAutoMLJobResponse', describeAutoMLJobResponse_autoMLJobConfig - Returns the configuration for the AutoML job.

DescribeAutoMLJobResponse, describeAutoMLJobResponse_autoMLJobObjective - Returns the job's objective.

$sel:bestCandidate:DescribeAutoMLJobResponse', describeAutoMLJobResponse_bestCandidate - The best model candidate selected by SageMaker Autopilot using both the best objective metric and lowest InferenceLatency for an experiment.

DescribeAutoMLJobResponse, describeAutoMLJobResponse_endTime - Returns the end time of the AutoML job.

DescribeAutoMLJobResponse, describeAutoMLJobResponse_failureReason - Returns the failure reason for an AutoML job, when applicable.

$sel:generateCandidateDefinitionsOnly:DescribeAutoMLJobResponse', describeAutoMLJobResponse_generateCandidateDefinitionsOnly - Indicates whether the output for an AutoML job generates candidate definitions only.

$sel:modelDeployConfig:DescribeAutoMLJobResponse', describeAutoMLJobResponse_modelDeployConfig - Indicates whether the model was deployed automatically to an endpoint and the name of that endpoint if deployed automatically.

$sel:modelDeployResult:DescribeAutoMLJobResponse', describeAutoMLJobResponse_modelDeployResult - Provides information about endpoint for the model deployment.

DescribeAutoMLJobResponse, describeAutoMLJobResponse_partialFailureReasons - Returns a list of reasons for partial failures within an AutoML job.

DescribeAutoMLJobResponse, describeAutoMLJobResponse_problemType - Returns the job's problem type.

$sel:resolvedAttributes:DescribeAutoMLJobResponse', describeAutoMLJobResponse_resolvedAttributes - This contains ProblemType, AutoMLJobObjective, and CompletionCriteria. If you do not provide these values, they are auto-inferred. If you do provide them, the values used are the ones you provide.

$sel:httpStatus:DescribeAutoMLJobResponse', describeAutoMLJobResponse_httpStatus - The response's http status code.

DescribeAutoMLJob, describeAutoMLJobResponse_autoMLJobName - Returns the name of the AutoML job.

DescribeAutoMLJobResponse, describeAutoMLJobResponse_autoMLJobArn - Returns the ARN of the AutoML job.

DescribeAutoMLJobResponse, describeAutoMLJobResponse_inputDataConfig - Returns the input data configuration for the AutoML job..

DescribeAutoMLJobResponse, describeAutoMLJobResponse_outputDataConfig - Returns the job's output data config.

DescribeAutoMLJobResponse, describeAutoMLJobResponse_roleArn - The Amazon Resource Name (ARN) of the Identity and Access Management (IAM) role that has read permission to the input data location and write permission to the output data location in Amazon S3.

DescribeAutoMLJobResponse, describeAutoMLJobResponse_creationTime - Returns the creation time of the AutoML job.

DescribeAutoMLJobResponse, describeAutoMLJobResponse_lastModifiedTime - Returns the job's last modified time.

DescribeAutoMLJobResponse, describeAutoMLJobResponse_autoMLJobStatus - Returns the status of the AutoML job.

DescribeAutoMLJobResponse, describeAutoMLJobResponse_autoMLJobSecondaryStatus - Returns the secondary status of the AutoML job.

Response Lenses

describeAutoMLJobResponse_autoMLJobArtifacts :: Lens' DescribeAutoMLJobResponse (Maybe AutoMLJobArtifacts) Source #

Returns information on the job's artifacts found in AutoMLJobArtifacts.

describeAutoMLJobResponse_bestCandidate :: Lens' DescribeAutoMLJobResponse (Maybe AutoMLCandidate) Source #

The best model candidate selected by SageMaker Autopilot using both the best objective metric and lowest InferenceLatency for an experiment.

describeAutoMLJobResponse_failureReason :: Lens' DescribeAutoMLJobResponse (Maybe Text) Source #

Returns the failure reason for an AutoML job, when applicable.

describeAutoMLJobResponse_generateCandidateDefinitionsOnly :: Lens' DescribeAutoMLJobResponse (Maybe Bool) Source #

Indicates whether the output for an AutoML job generates candidate definitions only.

describeAutoMLJobResponse_modelDeployConfig :: Lens' DescribeAutoMLJobResponse (Maybe ModelDeployConfig) Source #

Indicates whether the model was deployed automatically to an endpoint and the name of that endpoint if deployed automatically.

describeAutoMLJobResponse_modelDeployResult :: Lens' DescribeAutoMLJobResponse (Maybe ModelDeployResult) Source #

Provides information about endpoint for the model deployment.

describeAutoMLJobResponse_partialFailureReasons :: Lens' DescribeAutoMLJobResponse (Maybe (NonEmpty AutoMLPartialFailureReason)) Source #

Returns a list of reasons for partial failures within an AutoML job.

describeAutoMLJobResponse_resolvedAttributes :: Lens' DescribeAutoMLJobResponse (Maybe ResolvedAttributes) Source #

This contains ProblemType, AutoMLJobObjective, and CompletionCriteria. If you do not provide these values, they are auto-inferred. If you do provide them, the values used are the ones you provide.

describeAutoMLJobResponse_inputDataConfig :: Lens' DescribeAutoMLJobResponse (NonEmpty AutoMLChannel) Source #

Returns the input data configuration for the AutoML job..

describeAutoMLJobResponse_roleArn :: Lens' DescribeAutoMLJobResponse Text Source #

The Amazon Resource Name (ARN) of the Identity and Access Management (IAM) role that has read permission to the input data location and write permission to the output data location in Amazon S3.