AlgorithmSpecification¶
-
class
aws_cdk.aws_stepfunctions_tasks.AlgorithmSpecification(*, algorithm_name=None, metric_definitions=None, training_image=None, training_input_mode=None)¶ Bases:
object(experimental) Specify the training algorithm and algorithm-specific metadata.
- Parameters
algorithm_name (
Optional[str]) – (experimental) Name of the algorithm resource to use for the training job. This must be an algorithm resource that you created or subscribe to on AWS Marketplace. If you specify a value for this parameter, you can’t specify a value for TrainingImage. Default: - No algorithm is specifiedmetric_definitions (
Optional[Sequence[MetricDefinition]]) – (experimental) List of metric definition objects. Each object specifies the metric name and regular expressions used to parse algorithm logs. Default: - No metricstraining_image (
Optional[DockerImage]) – (experimental) Registry path of the Docker image that contains the training algorithm. Default: - No Docker image is specifiedtraining_input_mode (
Optional[InputMode]) – (experimental) Input mode that the algorithm supports. Default: ‘File’ mode
- Stability
experimental
Attributes
-
algorithm_name¶ (experimental) Name of the algorithm resource to use for the training job.
This must be an algorithm resource that you created or subscribe to on AWS Marketplace. If you specify a value for this parameter, you can’t specify a value for TrainingImage.
- Default
No algorithm is specified
- Stability
experimental
- Return type
Optional[str]
-
metric_definitions¶ (experimental) List of metric definition objects.
Each object specifies the metric name and regular expressions used to parse algorithm logs.
- Default
No metrics
- Stability
experimental
- Return type
Optional[List[MetricDefinition]]
-
training_image¶ (experimental) Registry path of the Docker image that contains the training algorithm.
- Default
No Docker image is specified
- Stability
experimental
- Return type
Optional[DockerImage]