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	contentType(String contentType) The content type of the data from the input source.
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'.

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 for an AutoML channel.

Parameters:

dataSource - The data source for an AutoML channel.

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 for an AutoML channel.

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, usually represented by 'y'.

Parameters:

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

Returns:

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

contentType

AutoMLChannel.Builder contentType(String 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.

Parameters:

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.

Returns:

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