com.amazonaws.services.sagemaker.model

Class AutoMLChannel

java.lang.Object

com.amazonaws.services.sagemaker.model.AutoMLChannel

All Implemented Interfaces:

StructuredPojo, Serializable, Cloneable

@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public class AutoMLChannel
extends Object
implements Serializable, Cloneable, StructuredPojo

Similar to Channel. A channel is a named input source that training algorithms can consume. Refer to Channel for detailed descriptions.

See Also:

AWS API Documentation, Serialized Form

Constructor Summary

Constructors

Constructor and Description
AutoMLChannel()

Method Summary

Modifier and Type	Method and Description
AutoMLChannel	clone()
boolean	equals(Object obj)
String	getCompressionType() You can use Gzip or None.
AutoMLDataSource	getDataSource() The data source.
String	getTargetAttributeName() The name of the target variable in supervised learning, a.k.a.
int	hashCode()
void	marshall(ProtocolMarshaller protocolMarshaller) Marshalls this structured data using the given ProtocolMarshaller.
void	setCompressionType(String compressionType) You can use Gzip or None.
void	setDataSource(AutoMLDataSource dataSource) The data source.
void	setTargetAttributeName(String targetAttributeName) The name of the target variable in supervised learning, a.k.a.
String	toString() Returns a string representation of this object.
AutoMLChannel	withCompressionType(CompressionType compressionType) You can use Gzip or None.
AutoMLChannel	withCompressionType(String compressionType) You can use Gzip or None.
AutoMLChannel	withDataSource(AutoMLDataSource dataSource) The data source.
AutoMLChannel	withTargetAttributeName(String targetAttributeName) The name of the target variable in supervised learning, a.k.a.

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

AutoMLChannel

public AutoMLChannel()

Method Detail

setDataSource

public void setDataSource(AutoMLDataSource dataSource)

The data source.

Parameters:

dataSource - The data source.

getDataSource

public AutoMLDataSource getDataSource()

The data source.

Returns:

The data source.

withDataSource

public AutoMLChannel withDataSource(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.

setCompressionType

public void setCompressionType(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.

See Also:

CompressionType

getCompressionType

public String getCompressionType()

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

Returns:

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

See Also:

CompressionType

withCompressionType

public AutoMLChannel withCompressionType(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

withCompressionType

public AutoMLChannel withCompressionType(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

setTargetAttributeName

public void setTargetAttributeName(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'.

getTargetAttributeName

public String getTargetAttributeName()

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

Returns:

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

withTargetAttributeName

public AutoMLChannel withTargetAttributeName(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.

toString

public String toString()

Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be redacted from this string using a placeholder value.

Overrides:

toString in class Object

Returns:

A string representation of this object.

See Also:

Object.toString()

equals

public boolean equals(Object obj)

Overrides:

equals in class Object

hashCode

public int hashCode()

Overrides:

hashCode in class Object

clone

public AutoMLChannel clone()

Overrides:

clone in class Object

marshall

public void marshall(ProtocolMarshaller protocolMarshaller)

Description copied from interface: StructuredPojo

Marshalls this structured data using the given ProtocolMarshaller.

Specified by:

marshall in interface StructuredPojo

Parameters:

protocolMarshaller - Implementation of ProtocolMarshaller used to marshall this object's data.