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:
- TrainingHyperParameter
TrainingArn: String
TrainingDatasets:
- String
TrainingEnvironment:
TrainingEnvironment
TrainingMetrics:
- TrainingMetric
UserProvidedHyperParameters:
- TrainingHyperParameter
UserProvidedTrainingMetrics:
- 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:
1024
Update requires: No interruption
TrainingDatasets
-
The location of the datasets used to train the model.
Required: No
Type: Array of String
Maximum:
1024 | 15
Update 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