public static interface AutoMLChannel.Builder extends SdkPojo, CopyableBuilder<AutoMLChannel.Builder,AutoMLChannel>
| Modifier and Type | Method and Description |
|---|---|
AutoMLChannel.Builder |
compressionType(CompressionType compressionType)
You can use
Gzip or None. |
AutoMLChannel.Builder |
compressionType(String compressionType)
You can use
Gzip or None. |
AutoMLChannel.Builder |
dataSource(AutoMLDataSource dataSource)
The data source for an AutoML channel.
|
default AutoMLChannel.Builder |
dataSource(Consumer<AutoMLDataSource.Builder> dataSource)
The data source for an AutoML channel.
|
AutoMLChannel.Builder |
targetAttributeName(String targetAttributeName)
The name of the target variable in supervised learning, usually represented by 'y'.
|
equalsBySdkFields, sdkFieldscopyapplyMutation, buildAutoMLChannel.Builder dataSource(AutoMLDataSource dataSource)
The data source for an AutoML channel.
dataSource - The data source for an AutoML channel.default AutoMLChannel.Builder dataSource(Consumer<AutoMLDataSource.Builder> dataSource)
The data source for an AutoML channel.
This is a convenience that creates an instance of theAutoMLDataSource.Builder avoiding the need to
create one manually via AutoMLDataSource.builder().
When the Consumer completes, SdkBuilder.build() is called immediately and its
result is passed to dataSource(AutoMLDataSource).dataSource - a consumer that will call methods on AutoMLDataSource.BuilderdataSource(AutoMLDataSource)AutoMLChannel.Builder compressionType(String compressionType)
You can use Gzip or None. The default value is None.
compressionType - You can use Gzip or None. The default value is None.CompressionType,
CompressionTypeAutoMLChannel.Builder compressionType(CompressionType compressionType)
You can use Gzip or None. The default value is None.
compressionType - You can use Gzip or None. The default value is None.CompressionType,
CompressionTypeAutoMLChannel.Builder targetAttributeName(String targetAttributeName)
The name of the target variable in supervised learning, usually represented by 'y'.
targetAttributeName - The name of the target variable in supervised learning, usually represented by 'y'.Copyright © 2021. All rights reserved.