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Specifies the training algorithm to use in a CreateTrainingJob request.
public class AlgorithmSpecification
The AlgorithmSpecification type exposes the following members
Gets and sets the property TrainingImage.
The registry path of the Docker image that contains the training algorithm. For information about docker registry paths for built-in algorithms, see sagemaker-algo-docker-registry-paths.
Gets and sets the property TrainingInputMode.
The input mode that the algorithm supports. For the input modes that Amazon SageMaker
algorithms support, see Algorithms.
If an algorithm supports the
In File mode, make sure you provision ML storage volume with sufficient capacity to accommodate the data download from S3. In addition to the training data, the ML storage volume also stores the output model. The algorithm container use ML storage volume to also store intermediate information, if any.
For distributed algorithms using File mode, training data is distributed uniformly, and your training duration is predictable if the input data objects size is approximately same. Amazon SageMaker does not split the files any further for model training. If the object sizes are skewed, training won't be optimal as the data distribution is also skewed where one host in a training cluster is overloaded, thus becoming bottleneck in training.
Supported in: 1.3
Supported in: 4.5, 4.0, 3.5
Portable Class Library:
Supported in: Windows Store Apps
Supported in: Windows Phone 8.1
Supported in: Xamarin Android
Supported in: Xamarin iOS (Unified)
Supported in: Xamarin.Forms