IncrementalTrainingDataChannel
Defines an incremental training data channel that references a previously trained model. Incremental training allows you to update an existing trained model with new data, building upon the knowledge from a base model rather than training from scratch. This can significantly reduce training time and computational costs while improving model performance with additional data.
Contents
- channelName
-
The name of the incremental training data channel. This name is used to identify the channel during the training process and must be unique within the training job.
Type: String
Length Constraints: Minimum length of 1. Maximum length of 64.
Pattern:
[A-Za-z0-9\.\-_]+Required: Yes
- trainedModelArn
-
The Amazon Resource Name (ARN) of the base trained model to use for incremental training. This model serves as the starting point for the incremental training process.
Type: String
Length Constraints: Minimum length of 20. Maximum length of 2048.
Pattern:
arn:aws[-a-z]*:cleanrooms-ml:[-a-z0-9]+:[0-9]{12}:membership/[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}/trained-model/[-a-zA-Z0-9_/.]+Required: Yes
- versionIdentifier
-
The version identifier of the base trained model to use for incremental training. If not specified, the latest version of the trained model is used.
Type: String
Length Constraints: Fixed length of 36.
Pattern:
[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}Required: No
See Also
For more information about using this API in one of the language-specific AWS SDKs, see the following:
