software.amazon.awssdk.services.sagemaker.model

Interface AutoMLChannel.Builder

All Superinterfaces:

Buildable, CopyableBuilder<AutoMLChannel.Builder,AutoMLChannel>, SdkBuilder<AutoMLChannel.Builder,AutoMLChannel>, SdkPojo

Enclosing class:

AutoMLChannel

public static interface AutoMLChannel.Builder
extends SdkPojo, CopyableBuilder<AutoMLChannel.Builder,AutoMLChannel>

Method Summary

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.
default AutoMLChannel.Builder	dataSource(Consumer<AutoMLDataSource.Builder> dataSource) The data source.
AutoMLChannel.Builder	targetAttributeName(String targetAttributeName) The name of the target variable in supervised learning, a.k.a.

Methods inherited from interface software.amazon.awssdk.core.SdkPojo

equalsBySdkFields, sdkFields

Methods inherited from interface software.amazon.awssdk.utils.builder.CopyableBuilder

copy

Methods inherited from interface software.amazon.awssdk.utils.builder.SdkBuilder

applyMutation, build

Method Detail

dataSource

AutoMLChannel.Builder dataSource(AutoMLDataSource dataSource)

The data source.

Parameters:

dataSource - The data source.

Returns:

Returns a reference to this object so that method calls can be chained together.

dataSource

default AutoMLChannel.Builder dataSource(Consumer<AutoMLDataSource.Builder> dataSource)

The data source.

This is a convenience that creates an instance of the AutoMLDataSource.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).

Parameters:

dataSource - a consumer that will call methods on AutoMLDataSource.Builder

Returns:

Returns a reference to this object so that method calls can be chained together.

See Also:

dataSource(AutoMLDataSource)

compressionType

AutoMLChannel.Builder compressionType(String compressionType)

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

Parameters:

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

Returns:

Returns a reference to this object so that method calls can be chained together.

See Also:

CompressionType, CompressionType

compressionType

AutoMLChannel.Builder compressionType(CompressionType compressionType)

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

Parameters:

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

Returns:

Returns a reference to this object so that method calls can be chained together.

See Also:

CompressionType, CompressionType

targetAttributeName

AutoMLChannel.Builder targetAttributeName(String targetAttributeName)

The name of the target variable in supervised learning, a.k.a. 'y'.

Parameters:

targetAttributeName - The name of the target variable in supervised learning, a.k.a. 'y'.

Returns:

Returns a reference to this object so that method calls can be chained together.