Values_1.DescribeAutoMLJobResponseSourceReturns information about an AutoML job created by calling CreateAutoMLJob. AutoML jobs created by calling CreateAutoMLJobV2 cannot be described by DescribeAutoMLJob.
type nonrec t = {autoMLJobName : Values_0.AutoMLJobName.t option;Returns the name of the AutoML job.
*)autoMLJobArn : Values_0.AutoMLJobArn.t option;Returns the ARN of the AutoML job.
*)inputDataConfig : Values_0.AutoMLInputDataConfig.t option;Returns the input data configuration for the AutoML job.
*)outputDataConfig : Values_0.AutoMLOutputDataConfig.t option;Returns the job's output data config.
*)roleArn : Values_0.RoleArn.t option;The ARN of the IAM role that has read permission to the input data location and write permission to the output data location in Amazon S3.
*)autoMLJobObjective : Values_0.AutoMLJobObjective.t option;Returns the job's objective.
*)problemType : Values_0.ProblemType.t option;Returns the job's problem type.
*)autoMLJobConfig : Values_0.AutoMLJobConfig.t option;Returns the configuration for the AutoML job.
*)creationTime : Values_0.Timestamp.t option;Returns the creation time of the AutoML job.
*)endTime : Values_0.Timestamp.t option;Returns the end time of the AutoML job.
*)lastModifiedTime : Values_0.Timestamp.t option;Returns the job's last modified time.
*)failureReason : Values_0.AutoMLFailureReason.t option;Returns the failure reason for an AutoML job, when applicable.
*)partialFailureReasons : Values_0.AutoMLPartialFailureReasons.t option;Returns a list of reasons for partial failures within an AutoML job.
*)bestCandidate : Values_0.AutoMLCandidate.t option;The best model candidate selected by SageMaker AI Autopilot using both the best objective metric and lowest InferenceLatency for an experiment.
*)autoMLJobStatus : Values_0.AutoMLJobStatus.t option;Returns the status of the AutoML job.
*)autoMLJobSecondaryStatus : Values_0.AutoMLJobSecondaryStatus.t option;Returns the secondary status of the AutoML job.
*)generateCandidateDefinitionsOnly : Values_0.GenerateCandidateDefinitionsOnly.t
option;Indicates whether the output for an AutoML job generates candidate definitions only.
*)autoMLJobArtifacts : Values_0.AutoMLJobArtifacts.t option;Returns information on the job's artifacts found in AutoMLJobArtifacts.
*)resolvedAttributes : ResolvedAttributes.t option;Contains ProblemType, AutoMLJobObjective, and CompletionCriteria. If you do not provide these values, they are inferred.
*)modelDeployConfig : Values_0.ModelDeployConfig.t option;Indicates whether the model was deployed automatically to an endpoint and the name of that endpoint if deployed automatically.
*)modelDeployResult : ModelDeployResult.t option;Provides information about endpoint for the model deployment.
*)}type nonrec error = [ | `ResourceNotFound of Values_0.ResourceNotFound.t| `Unknown_operation_error of string * string option ]val make :
?autoMLJobName:??? ->
?autoMLJobArn:??? ->
?inputDataConfig:??? ->
?outputDataConfig:??? ->
?roleArn:??? ->
?autoMLJobObjective:??? ->
?problemType:??? ->
?autoMLJobConfig:??? ->
?creationTime:??? ->
?endTime:??? ->
?lastModifiedTime:??? ->
?failureReason:??? ->
?partialFailureReasons:??? ->
?bestCandidate:??? ->
?autoMLJobStatus:??? ->
?autoMLJobSecondaryStatus:??? ->
?generateCandidateDefinitionsOnly:??? ->
?autoMLJobArtifacts:??? ->
?resolvedAttributes:??? ->
?modelDeployConfig:??? ->
?modelDeployResult:??? ->
unit ->
tval error_of_json :
string ->
Yojson.Safe.t ->
[> `ResourceNotFound of Values_0.ResourceNotFound.t
| `Unknown_operation_error of string * string option ]val error_of_xml :
string ->
Awso.Xml.t ->
[> `ResourceNotFound of Values_0.ResourceNotFound.t
| `Unknown_operation_error of string * string option ]val to_value :
t ->
[> `Structure of
(string
* [> `Boolean of Values_0.GenerateCandidateDefinitionsOnly.t
| `Enum of string
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list ]
list
| `String of Values_0.AutoMLJobName.t
| `Structure of
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list ]