com.amazonaws.services.comprehend.model

Class DatasetEntityRecognizerDocuments

java.lang.Object

com.amazonaws.services.comprehend.model.DatasetEntityRecognizerDocuments

All Implemented Interfaces:

StructuredPojo, Serializable, Cloneable

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

Describes the documents submitted with a dataset for an entity recognizer model.

See Also:

AWS API Documentation, Serialized Form

Constructor Summary

Constructors

Constructor and Description
DatasetEntityRecognizerDocuments()

Method Summary

Modifier and Type	Method and Description
DatasetEntityRecognizerDocuments	clone()
boolean	equals(Object obj)
String	getInputFormat() Specifies how the text in an input file should be processed.
String	getS3Uri() Specifies the Amazon S3 location where the documents for the dataset are located.
int	hashCode()
void	marshall(ProtocolMarshaller protocolMarshaller) Marshalls this structured data using the given ProtocolMarshaller.
void	setInputFormat(String inputFormat) Specifies how the text in an input file should be processed.
void	setS3Uri(String s3Uri) Specifies the Amazon S3 location where the documents for the dataset are located.
String	toString() Returns a string representation of this object.
DatasetEntityRecognizerDocuments	withInputFormat(InputFormat inputFormat) Specifies how the text in an input file should be processed.
DatasetEntityRecognizerDocuments	withInputFormat(String inputFormat) Specifies how the text in an input file should be processed.
DatasetEntityRecognizerDocuments	withS3Uri(String s3Uri) Specifies the Amazon S3 location where the documents for the dataset are located.

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

DatasetEntityRecognizerDocuments

public DatasetEntityRecognizerDocuments()

Method Detail

setS3Uri

public void setS3Uri(String s3Uri)

Specifies the Amazon S3 location where the documents for the dataset are located.

Parameters:

s3Uri - Specifies the Amazon S3 location where the documents for the dataset are located.

getS3Uri

public String getS3Uri()

Specifies the Amazon S3 location where the documents for the dataset are located.

Returns:

Specifies the Amazon S3 location where the documents for the dataset are located.

withS3Uri

public DatasetEntityRecognizerDocuments withS3Uri(String s3Uri)

Specifies the Amazon S3 location where the documents for the dataset are located.

Parameters:

s3Uri - Specifies the Amazon S3 location where the documents for the dataset are located.

Returns:

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

setInputFormat

public void setInputFormat(String inputFormat)

Specifies how the text in an input file should be processed. This is optional, and the default is ONE_DOC_PER_LINE. ONE_DOC_PER_FILE - Each file is considered a separate document. Use this option when you are processing large documents, such as newspaper articles or scientific papers. ONE_DOC_PER_LINE - Each line in a file is considered a separate document. Use this option when you are processing many short documents, such as text messages.

Parameters:

inputFormat - Specifies how the text in an input file should be processed. This is optional, and the default is ONE_DOC_PER_LINE. ONE_DOC_PER_FILE - Each file is considered a separate document. Use this option when you are processing large documents, such as newspaper articles or scientific papers. ONE_DOC_PER_LINE - Each line in a file is considered a separate document. Use this option when you are processing many short documents, such as text messages.

See Also:

InputFormat

getInputFormat

public String getInputFormat()

Specifies how the text in an input file should be processed. This is optional, and the default is ONE_DOC_PER_LINE. ONE_DOC_PER_FILE - Each file is considered a separate document. Use this option when you are processing large documents, such as newspaper articles or scientific papers. ONE_DOC_PER_LINE - Each line in a file is considered a separate document. Use this option when you are processing many short documents, such as text messages.

Returns:

Specifies how the text in an input file should be processed. This is optional, and the default is ONE_DOC_PER_LINE. ONE_DOC_PER_FILE - Each file is considered a separate document. Use this option when you are processing large documents, such as newspaper articles or scientific papers. ONE_DOC_PER_LINE - Each line in a file is considered a separate document. Use this option when you are processing many short documents, such as text messages.

See Also:

InputFormat

withInputFormat

public DatasetEntityRecognizerDocuments withInputFormat(String inputFormat)

Specifies how the text in an input file should be processed. This is optional, and the default is ONE_DOC_PER_LINE. ONE_DOC_PER_FILE - Each file is considered a separate document. Use this option when you are processing large documents, such as newspaper articles or scientific papers. ONE_DOC_PER_LINE - Each line in a file is considered a separate document. Use this option when you are processing many short documents, such as text messages.

Parameters:

inputFormat - Specifies how the text in an input file should be processed. This is optional, and the default is ONE_DOC_PER_LINE. ONE_DOC_PER_FILE - Each file is considered a separate document. Use this option when you are processing large documents, such as newspaper articles or scientific papers. ONE_DOC_PER_LINE - Each line in a file is considered a separate document. Use this option when you are processing many short documents, such as text messages.

Returns:

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

See Also:

InputFormat

withInputFormat

public DatasetEntityRecognizerDocuments withInputFormat(InputFormat inputFormat)

Specifies how the text in an input file should be processed. This is optional, and the default is ONE_DOC_PER_LINE. ONE_DOC_PER_FILE - Each file is considered a separate document. Use this option when you are processing large documents, such as newspaper articles or scientific papers. ONE_DOC_PER_LINE - Each line in a file is considered a separate document. Use this option when you are processing many short documents, such as text messages.

Parameters:

inputFormat - Specifies how the text in an input file should be processed. This is optional, and the default is ONE_DOC_PER_LINE. ONE_DOC_PER_FILE - Each file is considered a separate document. Use this option when you are processing large documents, such as newspaper articles or scientific papers. ONE_DOC_PER_LINE - Each line in a file is considered a separate document. Use this option when you are processing many short documents, such as text messages.

Returns:

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

See Also:

InputFormat

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 DatasetEntityRecognizerDocuments 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.