AutoMLChannel - Amazon SageMaker


A channel is a named input source that training algorithms can consume. For more information, see Channel.



You can use Gzip or None. The default value is None.

Type: String

Valid Values: None | Gzip

Required: No


The content type of the data from the input source. You can use text/csv;header=present or x-application/ The default value is text/csv;header=present.

Type: String

Length Constraints: Maximum length of 256.

Pattern: .*

Required: No


The data source for an AutoML channel.

Type: AutoMLDataSource object

Required: Yes


The name of the target variable in supervised learning, usually represented by 'y'.

Type: String

Length Constraints: Minimum length of 1.

Required: Yes

See Also

For more information about using this API in one of the language-specific AWS SDKs, see the following: