Values.IncrementalTrainingDataChannelSourceDefines 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.
type nonrec t = {trainedModelArn : TrainedModelArn.t;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.
*)versionIdentifier : UUID.t option;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.
*)channelName : ModelTrainingDataChannelName.t;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.
*)}val make :
?versionIdentifier:??? ->
trainedModelArn:TrainedModelArn.t ->
channelName:ModelTrainingDataChannelName.t ->
unit ->
t