TrainingSpecification
Defines how the algorithm is used for a training job.
Types
Properties
The additional data source used during the training job.
A list of MetricDefinition objects, which are used for parsing metrics generated by the algorithm.
A list of the HyperParameterSpecification objects, that define the supported hyperparameters. This is required if the algorithm supports automatic model tuning.>
A list of the instance types that this algorithm can use for training.
A list of the metrics that the algorithm emits that can be used as the objective metric in a hyperparameter tuning job.
Indicates whether the algorithm supports distributed training. If set to false, buyers can't request more than one instance during training.
A list of ChannelSpecification objects, which specify the input sources to be used by the algorithm.
The Amazon ECR registry path of the Docker image that contains the training algorithm.
An MD5 hash of the training algorithm that identifies the Docker image used for training.