TrainingSpecification
Defines how the algorithm is used for a training job.
Contents
- SupportedTrainingInstanceTypes
-
A list of the instance types that this algorithm can use for training.
Type: Array of strings
Valid Values:
ml.m4.xlarge | ml.m4.2xlarge | ml.m4.4xlarge | ml.m4.10xlarge | ml.m4.16xlarge | ml.g4dn.xlarge | ml.g4dn.2xlarge | ml.g4dn.4xlarge | ml.g4dn.8xlarge | ml.g4dn.12xlarge | ml.g4dn.16xlarge | ml.m5.large | ml.m5.xlarge | ml.m5.2xlarge | ml.m5.4xlarge | ml.m5.12xlarge | ml.m5.24xlarge | ml.c4.xlarge | ml.c4.2xlarge | ml.c4.4xlarge | ml.c4.8xlarge | ml.p2.xlarge | ml.p2.8xlarge | ml.p2.16xlarge | ml.p3.2xlarge | ml.p3.8xlarge | ml.p3.16xlarge | ml.p3dn.24xlarge | ml.p4d.24xlarge | ml.p4de.24xlarge | ml.p5.48xlarge | ml.p5e.48xlarge | ml.p5en.48xlarge | ml.c5.xlarge | ml.c5.2xlarge | ml.c5.4xlarge | ml.c5.9xlarge | ml.c5.18xlarge | ml.c5n.xlarge | ml.c5n.2xlarge | ml.c5n.4xlarge | ml.c5n.9xlarge | ml.c5n.18xlarge | ml.g5.xlarge | ml.g5.2xlarge | ml.g5.4xlarge | ml.g5.8xlarge | ml.g5.16xlarge | ml.g5.12xlarge | ml.g5.24xlarge | ml.g5.48xlarge | ml.g6.xlarge | ml.g6.2xlarge | ml.g6.4xlarge | ml.g6.8xlarge | ml.g6.16xlarge | ml.g6.12xlarge | ml.g6.24xlarge | ml.g6.48xlarge | ml.g6e.xlarge | ml.g6e.2xlarge | ml.g6e.4xlarge | ml.g6e.8xlarge | ml.g6e.16xlarge | ml.g6e.12xlarge | ml.g6e.24xlarge | ml.g6e.48xlarge | ml.trn1.2xlarge | ml.trn1.32xlarge | ml.trn1n.32xlarge | ml.trn2.48xlarge | ml.m6i.large | ml.m6i.xlarge | ml.m6i.2xlarge | ml.m6i.4xlarge | ml.m6i.8xlarge | ml.m6i.12xlarge | ml.m6i.16xlarge | ml.m6i.24xlarge | ml.m6i.32xlarge | ml.c6i.xlarge | ml.c6i.2xlarge | ml.c6i.8xlarge | ml.c6i.4xlarge | ml.c6i.12xlarge | ml.c6i.16xlarge | ml.c6i.24xlarge | ml.c6i.32xlarge | ml.r5d.large | ml.r5d.xlarge | ml.r5d.2xlarge | ml.r5d.4xlarge | ml.r5d.8xlarge | ml.r5d.12xlarge | ml.r5d.16xlarge | ml.r5d.24xlarge | ml.t3.medium | ml.t3.large | ml.t3.xlarge | ml.t3.2xlarge | ml.r5.large | ml.r5.xlarge | ml.r5.2xlarge | ml.r5.4xlarge | ml.r5.8xlarge | ml.r5.12xlarge | ml.r5.16xlarge | ml.r5.24xlargeRequired: Yes
- TrainingChannels
-
A list of
ChannelSpecificationobjects, which specify the input sources to be used by the algorithm.Type: Array of ChannelSpecification objects
Array Members: Minimum number of 1 item. Maximum number of 8 items.
Required: Yes
- TrainingImage
-
The Amazon ECR registry path of the Docker image that contains the training algorithm.
Type: String
Length Constraints: Maximum length of 255.
Pattern:
[\S]+Required: Yes
- AdditionalS3DataSource
-
The additional data source used during the training job.
Type: AdditionalS3DataSource object
Required: No
- MetricDefinitions
-
A list of
MetricDefinitionobjects, which are used for parsing metrics generated by the algorithm.Type: Array of MetricDefinition objects
Array Members: Minimum number of 0 items. Maximum number of 40 items.
Required: No
- SupportedHyperParameters
-
A list of the
HyperParameterSpecificationobjects, that define the supported hyperparameters. This is required if the algorithm supports automatic model tuning.>Type: Array of HyperParameterSpecification objects
Array Members: Minimum number of 0 items. Maximum number of 100 items.
Required: No
- SupportedTuningJobObjectiveMetrics
-
A list of the metrics that the algorithm emits that can be used as the objective metric in a hyperparameter tuning job.
Type: Array of HyperParameterTuningJobObjective objects
Required: No
- SupportsDistributedTraining
-
Indicates whether the algorithm supports distributed training. If set to false, buyers can't request more than one instance during training.
Type: Boolean
Required: No
- TrainingImageDigest
-
An MD5 hash of the training algorithm that identifies the Docker image used for training.
Type: String
Length Constraints: Maximum length of 72.
Pattern:
^[Ss][Hh][Aa]256:[0-9a-fA-F]{64}$Required: No
See Also
For more information about using this API in one of the language-specific AWS SDKs, see the following:
