AutoMLChannel
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 Channel.
A validation dataset must contain the same headers as the training dataset.
Contents
- ChannelType
-
The channel type (optional) is an
enum
string. The default value istraining
. Channels for training and validation must share the sameContentType
andTargetAttributeName
. For information on specifying training and validation channel types, seeHow to specify training and validation datasets
.Type: String
Valid Values:
training | validation
Required: No
- CompressionType
-
You can use
Gzip
orNone
. The default value isNone
.Type: String
Valid Values:
None | Gzip
Required: No
- ContentType
-
The content type of the data from the input source. You can use
text/csv;header=present
orx-application/vnd.amazon+parquet
. The default value istext/csv;header=present
.Type: String
Length Constraints: Maximum length of 256.
Pattern:
.*
Required: No
- DataSource
-
The data source for an AutoML channel.
Type: AutoMLDataSource object
Required: Yes
- TargetAttributeName
-
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: