Copyright | (c) 2013-2023 Brendan Hay |
---|---|
License | Mozilla Public License, v. 2.0. |
Maintainer | Brendan Hay |
Stability | auto-generated |
Portability | non-portable (GHC extensions) |
Safe Haskell | Safe-Inferred |
Language | Haskell2010 |
Synopsis
- data AutoMLChannel = AutoMLChannel' {}
- newAutoMLChannel :: AutoMLDataSource -> Text -> AutoMLChannel
- autoMLChannel_channelType :: Lens' AutoMLChannel (Maybe AutoMLChannelType)
- autoMLChannel_compressionType :: Lens' AutoMLChannel (Maybe CompressionType)
- autoMLChannel_contentType :: Lens' AutoMLChannel (Maybe Text)
- autoMLChannel_dataSource :: Lens' AutoMLChannel AutoMLDataSource
- autoMLChannel_targetAttributeName :: Lens' AutoMLChannel Text
Documentation
data AutoMLChannel Source #
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 .
A validation dataset must contain the same headers as the training dataset.
See: newAutoMLChannel
smart constructor.
AutoMLChannel' | |
|
Instances
:: AutoMLDataSource | |
-> Text | |
-> AutoMLChannel |
Create a value of AutoMLChannel
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:channelType:AutoMLChannel'
, autoMLChannel_channelType
- 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
.
$sel:compressionType:AutoMLChannel'
, autoMLChannel_compressionType
- You can use Gzip
or None
. The default value is None
.
$sel:contentType:AutoMLChannel'
, autoMLChannel_contentType
- 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
.
$sel:dataSource:AutoMLChannel'
, autoMLChannel_dataSource
- The data source for an AutoML channel.
$sel:targetAttributeName:AutoMLChannel'
, autoMLChannel_targetAttributeName
- The name of the target variable in supervised learning, usually
represented by 'y'.
autoMLChannel_channelType :: Lens' AutoMLChannel (Maybe AutoMLChannelType) Source #
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
.
autoMLChannel_compressionType :: Lens' AutoMLChannel (Maybe CompressionType) Source #
You can use Gzip
or None
. The default value is None
.
autoMLChannel_contentType :: Lens' AutoMLChannel (Maybe Text) Source #
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
.
autoMLChannel_dataSource :: Lens' AutoMLChannel AutoMLDataSource Source #
The data source for an AutoML channel.
autoMLChannel_targetAttributeName :: Lens' AutoMLChannel Text Source #
The name of the target variable in supervised learning, usually represented by 'y'.