com.amazonaws.services.sagemaker.model

Class AutoMLJobChannel

java.lang.Object

com.amazonaws.services.sagemaker.model.AutoMLJobChannel

All Implemented Interfaces:

StructuredPojo, Serializable, Cloneable

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

A channel is a named input source that training algorithms can consume. This channel is used for the non tabular training data of an AutoML job using the V2 API. For tabular training data, see AutoMLChannel. For more information, see Channel.

See Also:

AWS API Documentation, Serialized Form

Constructor Summary

Constructors

Constructor and Description
AutoMLJobChannel()

Method Summary

Modifier and Type	Method and Description
AutoMLJobChannel	clone()
boolean	equals(Object obj)
String	getChannelType() The type of channel.
String	getCompressionType() The allowed compression types depend on the input format.
String	getContentType() The content type of the data from the input source.
AutoMLDataSource	getDataSource() The data source for an AutoML channel.
int	hashCode()
void	marshall(ProtocolMarshaller protocolMarshaller)
void	setChannelType(String channelType) The type of channel.
void	setCompressionType(String compressionType) The allowed compression types depend on the input format.
void	setContentType(String contentType) The content type of the data from the input source.
void	setDataSource(AutoMLDataSource dataSource) The data source for an AutoML channel.
String	toString() Returns a string representation of this object.
AutoMLJobChannel	withChannelType(AutoMLChannelType channelType) The type of channel.
AutoMLJobChannel	withChannelType(String channelType) The type of channel.
AutoMLJobChannel	withCompressionType(CompressionType compressionType) The allowed compression types depend on the input format.
AutoMLJobChannel	withCompressionType(String compressionType) The allowed compression types depend on the input format.
AutoMLJobChannel	withContentType(String contentType) The content type of the data from the input source.
AutoMLJobChannel	withDataSource(AutoMLDataSource dataSource) The data source for an AutoML channel.

Methods inherited from class java.lang.Object

finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

AutoMLJobChannel

public AutoMLJobChannel()

Method Detail

setChannelType

public void setChannelType(String channelType)

The type of channel. Defines whether the data are used for training or validation. The default value is training. Channels for training and validation must share the same ContentType

Parameters:

channelType - The type of channel. Defines whether the data are used for training or validation. The default value is training. Channels for training and validation must share the same ContentType

See Also:

AutoMLChannelType

getChannelType

public String getChannelType()

The type of channel. Defines whether the data are used for training or validation. The default value is training. Channels for training and validation must share the same ContentType

Returns:

The type of channel. Defines whether the data are used for training or validation. The default value is training. Channels for training and validation must share the same ContentType

See Also:

AutoMLChannelType

withChannelType

public AutoMLJobChannel withChannelType(String channelType)

The type of channel. Defines whether the data are used for training or validation. The default value is training. Channels for training and validation must share the same ContentType

Parameters:

channelType - The type of channel. Defines whether the data are used for training or validation. The default value is training. Channels for training and validation must share the same ContentType

Returns:

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

See Also:

AutoMLChannelType

withChannelType

public AutoMLJobChannel withChannelType(AutoMLChannelType channelType)

The type of channel. Defines whether the data are used for training or validation. The default value is training. Channels for training and validation must share the same ContentType

Parameters:

channelType - The type of channel. Defines whether the data are used for training or validation. The default value is training. Channels for training and validation must share the same ContentType

Returns:

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

See Also:

AutoMLChannelType

setContentType

public void setContentType(String contentType)

The content type of the data from the input source. The following are the allowed content types for different problems:

• ImageClassification: image/png, image/jpeg, image/*

• TextClassification: text/csv;header=present

Parameters:

contentType - The content type of the data from the input source. The following are the allowed content types for different problems:

• ImageClassification: image/png, image/jpeg, image/*

• TextClassification: text/csv;header=present

getContentType

public String getContentType()

The content type of the data from the input source. The following are the allowed content types for different problems:

• ImageClassification: image/png, image/jpeg, image/*

• TextClassification: text/csv;header=present

Returns:

The content type of the data from the input source. The following are the allowed content types for different problems:

• ImageClassification: image/png, image/jpeg, image/*

• TextClassification: text/csv;header=present

withContentType

public AutoMLJobChannel withContentType(String contentType)

The content type of the data from the input source. The following are the allowed content types for different problems:

• ImageClassification: image/png, image/jpeg, image/*

• TextClassification: text/csv;header=present

Parameters:

contentType - The content type of the data from the input source. The following are the allowed content types for different problems:

• ImageClassification: image/png, image/jpeg, image/*

• TextClassification: text/csv;header=present

Returns:

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

setCompressionType

public void setCompressionType(String compressionType)

The allowed compression types depend on the input format. We allow the compression type Gzip for S3Prefix inputs only. For all other inputs, the compression type should be None. If no compression type is provided, we default to None.

Parameters:

compressionType - The allowed compression types depend on the input format. We allow the compression type Gzip for S3Prefix inputs only. For all other inputs, the compression type should be None. If no compression type is provided, we default to None.

See Also:

CompressionType

getCompressionType

public String getCompressionType()

The allowed compression types depend on the input format. We allow the compression type Gzip for S3Prefix inputs only. For all other inputs, the compression type should be None. If no compression type is provided, we default to None.

Returns:

The allowed compression types depend on the input format. We allow the compression type Gzip for S3Prefix inputs only. For all other inputs, the compression type should be None. If no compression type is provided, we default to None.

See Also:

CompressionType

withCompressionType

public AutoMLJobChannel withCompressionType(String compressionType)

The allowed compression types depend on the input format. We allow the compression type Gzip for S3Prefix inputs only. For all other inputs, the compression type should be None. If no compression type is provided, we default to None.

Parameters:

compressionType - The allowed compression types depend on the input format. We allow the compression type Gzip for S3Prefix inputs only. For all other inputs, the compression type should be None. If no compression type is provided, we default to None.

Returns:

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

See Also:

CompressionType

withCompressionType

public AutoMLJobChannel withCompressionType(CompressionType compressionType)

The allowed compression types depend on the input format. We allow the compression type Gzip for S3Prefix inputs only. For all other inputs, the compression type should be None. If no compression type is provided, we default to None.

Parameters:

compressionType - The allowed compression types depend on the input format. We allow the compression type Gzip for S3Prefix inputs only. For all other inputs, the compression type should be None. If no compression type is provided, we default to None.

Returns:

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

See Also:

CompressionType

setDataSource

public void setDataSource(AutoMLDataSource dataSource)

The data source for an AutoML channel.

Parameters:

dataSource - The data source for an AutoML channel.

getDataSource

public AutoMLDataSource getDataSource()

The data source for an AutoML channel.

Returns:

The data source for an AutoML channel.

withDataSource

public AutoMLJobChannel withDataSource(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.

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 AutoMLJobChannel clone()

Overrides:

clone in class Object

marshall

public void marshall(ProtocolMarshaller protocolMarshaller)

Specified by:

marshall in interface StructuredPojo