AutoMLChannel
import type { AutoMLChannel } from "https://aws-api.deno.dev/v0.4/services/sagemaker.ts?docs=full";
A channel is a named input source that training algorithms can consume. The validation dataset size is limited to less than 2 GB. The training dataset size must be less than 100 GB. For more information, see .
Note: A validation dataset must contain the same headers as the training dataset.
§Properties
The channel type (optional) is an enum
string.
The default value is training
.
Channels for training and validation must share the same ContentType
and TargetAttributeName
.
For information on specifying training and validation channel types, see How to specify training and validation datasets.
You can use Gzip
or None
.
The default value is None
.
The content type of the data from the input source.
You can use text/csv;header=present
or x-application/vnd.amazon+parquet
.
The default value is text/csv;header=present
.
The data source for an AutoML channel.