Values.ModelTrainingDataChannelSourceInformation about the model training data channel. A training data channel is a named data source that the training algorithms can consume.
type nonrec t = {mlInputChannelArn : MLInputChannelArn.t;The Amazon Resource Name (ARN) of the ML input channel for this model training data channel.
*)channelName : ModelTrainingDataChannelName.t;The name of the training data channel.
*)s3DataDistributionType : S3DataDistributionType.t option;Specifies how the training data stored in Amazon S3 should be distributed to training instances. This parameter controls the data distribution strategy for the training job: FullyReplicated - The entire dataset is replicated on each training instance. This is suitable for smaller datasets and algorithms that require access to the complete dataset. ShardedByS3Key - The dataset is distributed across training instances based on Amazon S3 key names. This is suitable for larger datasets and distributed training scenarios where each instance processes a subset of the data.
*)}val make :
?s3DataDistributionType:??? ->
mlInputChannelArn:MLInputChannelArn.t ->
channelName:ModelTrainingDataChannelName.t ->
unit ->
tval to_value :
t ->
[> `Structure of
(string * [> `Enum of string | `String of MLInputChannelArn.t ]) list ]