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AWS::SageMaker::ModelCard TrainingJobDetails
The overview of a training job.
Syntax
To declare this entity in your AWS CloudFormation template, use the following syntax:
JSON
{ "HyperParameters" :[ TrainingHyperParameter, ... ], "TrainingArn" :String, "TrainingDatasets" :[ String, ... ], "TrainingEnvironment" :TrainingEnvironment, "TrainingMetrics" :[ TrainingMetric, ... ], "UserProvidedHyperParameters" :[ TrainingHyperParameter, ... ], "UserProvidedTrainingMetrics" :[ TrainingMetric, ... ]}
YAML
HyperParameters:- TrainingHyperParameterTrainingArn:StringTrainingDatasets:- StringTrainingEnvironment:TrainingEnvironmentTrainingMetrics:- TrainingMetricUserProvidedHyperParameters:- TrainingHyperParameterUserProvidedTrainingMetrics:- TrainingMetric
Properties
HyperParameters-
The hyper parameters used in the training job.
Required: No
Type: Array of TrainingHyperParameter
Update requires: No interruption
TrainingArn-
The SageMaker AI training job Amazon Resource Name (ARN)
Required: No
Type: String
Maximum:
1024Update requires: No interruption
TrainingDatasets-
The location of the datasets used to train the model.
Required: No
Type: Array of String
Maximum:
1024 | 15Update requires: No interruption
TrainingEnvironment-
The SageMaker AI training job image URI.
Required: No
Type: TrainingEnvironment
Update requires: No interruption
TrainingMetrics-
The SageMaker AI training job results.
Required: No
Type: Array of TrainingMetric
Update requires: No interruption
UserProvidedHyperParameters-
Additional hyper parameters that you've specified when training the model.
Required: No
Type: Array of TrainingHyperParameter
Update requires: No interruption
UserProvidedTrainingMetrics-
Custom training job results.
Required: No
Type: Array of TrainingMetric
Update requires: No interruption
