AlgorithmSpecification class

Specifies the training algorithm to use in a CreateTrainingJob request.

For more information about algorithms provided by Amazon SageMaker, see Algorithms. For information about using your own algorithms, see Using Your Own Algorithms with Amazon SageMaker.

Constructors

AlgorithmSpecification({required TrainingInputMode trainingInputMode, String? algorithmName, bool? enableSageMakerMetricsTimeSeries, List<MetricDefinition>? metricDefinitions, String? trainingImage})
AlgorithmSpecification.fromJson(Map<String, dynamic> json)
factory

Properties

algorithmName → String?
The 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.
final
enableSageMakerMetricsTimeSeries → bool?
To generate and save time-series metrics during training, set to true. The default is false and time-series metrics aren't generated except in the following cases:
final
hashCode → int
The hash code for this object.
no setterinherited
metricDefinitions → List<MetricDefinition>?
A list of metric definition objects. Each object specifies the metric name and regular expressions used to parse algorithm logs. Amazon SageMaker publishes each metric to Amazon CloudWatch.
final
runtimeType → Type
A representation of the runtime type of the object.
no setterinherited
trainingImage → String?
The registry path of the Docker image that contains the training algorithm. For information about docker registry paths for built-in algorithms, see Algorithms Provided by Amazon SageMaker: Common Parameters. Amazon SageMaker supports both registry/repository:tag and registry/repository@digest image path formats. For more information, see Using Your Own Algorithms with Amazon SageMaker.
final
trainingInputMode → TrainingInputMode
The input mode that the algorithm supports. For the input modes that Amazon SageMaker algorithms support, see Algorithms. If an algorithm supports the File input mode, Amazon SageMaker downloads the training data from S3 to the provisioned ML storage Volume, and mounts the directory to docker volume for training container. If an algorithm supports the Pipe input mode, Amazon SageMaker streams data directly from S3 to the container.
final

Methods

noSuchMethod(Invocation invocation) → dynamic
Invoked when a nonexistent method or property is accessed.
inherited
toJson() → Map<String, dynamic>
toString() → String
A string representation of this object.
inherited

Operators

operator ==(Object other) → bool
The equality operator.
inherited