DatasetDefinition (AWS SDK for Java

java.lang.Object
- com.amazonaws.services.sagemaker.model.DatasetDefinition

All Implemented Interfaces:

StructuredPojo, Serializable, Cloneable
```
@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public class DatasetDefinition
extends Object
implements Serializable, Cloneable, StructuredPojo
```
Configuration for Dataset Definition inputs. The Dataset Definition input must specify exactly one of either AthenaDatasetDefinition or RedshiftDatasetDefinition types.

See Also:

AWS API Documentation, Serialized Form

Constructor Summary

Constructors
Constructor and Description

DatasetDefinition()

Constructors
Constructor and Description
`DatasetDefinition()`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`DatasetDefinition`	`clone()`
`boolean`	`equals(Object obj)`
`AthenaDatasetDefinition`	`getAthenaDatasetDefinition()`
`String`	`getDataDistributionType()` Whether the generated dataset is `FullyReplicated` or `ShardedByS3Key` (default).
`String`	`getInputMode()` Whether to use `File` or `Pipe` input mode.
`String`	`getLocalPath()` The local path where you want Amazon SageMaker to download the Dataset Definition inputs to run a processing job.
`RedshiftDatasetDefinition`	`getRedshiftDatasetDefinition()`
`int`	`hashCode()`
`void`	`marshall(ProtocolMarshaller protocolMarshaller)` Marshalls this structured data using the given `ProtocolMarshaller`.
`void`	`setAthenaDatasetDefinition(AthenaDatasetDefinition athenaDatasetDefinition)`
`void`	`setDataDistributionType(String dataDistributionType)` Whether the generated dataset is `FullyReplicated` or `ShardedByS3Key` (default).
`void`	`setInputMode(String inputMode)` Whether to use `File` or `Pipe` input mode.
`void`	`setLocalPath(String localPath)` The local path where you want Amazon SageMaker to download the Dataset Definition inputs to run a processing job.
`void`	`setRedshiftDatasetDefinition(RedshiftDatasetDefinition redshiftDatasetDefinition)`
`String`	`toString()` Returns a string representation of this object.
`DatasetDefinition`	`withAthenaDatasetDefinition(AthenaDatasetDefinition athenaDatasetDefinition)`
`DatasetDefinition`	`withDataDistributionType(DataDistributionType dataDistributionType)` Whether the generated dataset is `FullyReplicated` or `ShardedByS3Key` (default).
`DatasetDefinition`	`withDataDistributionType(String dataDistributionType)` Whether the generated dataset is `FullyReplicated` or `ShardedByS3Key` (default).
`DatasetDefinition`	`withInputMode(InputMode inputMode)` Whether to use `File` or `Pipe` input mode.
`DatasetDefinition`	`withInputMode(String inputMode)` Whether to use `File` or `Pipe` input mode.
`DatasetDefinition`	`withLocalPath(String localPath)` The local path where you want Amazon SageMaker to download the Dataset Definition inputs to run a processing job.
`DatasetDefinition`	`withRedshiftDatasetDefinition(RedshiftDatasetDefinition redshiftDatasetDefinition)`

Methods inherited from class java.lang.Object
getClass, notify, notifyAll, wait, wait, wait

- Constructor Detail
  - DatasetDefinition
```
public DatasetDefinition()
```
- Method Detail
  - setAthenaDatasetDefinition
```
public void setAthenaDatasetDefinition(AthenaDatasetDefinition athenaDatasetDefinition)
```
    Parameters:
    
    athenaDatasetDefinition -
  - getAthenaDatasetDefinition
```
public AthenaDatasetDefinition getAthenaDatasetDefinition()
```
    Returns:
  - withAthenaDatasetDefinition
```
public DatasetDefinition withAthenaDatasetDefinition(AthenaDatasetDefinition athenaDatasetDefinition)
```
    Parameters:
    
    athenaDatasetDefinition -
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setRedshiftDatasetDefinition
```
public void setRedshiftDatasetDefinition(RedshiftDatasetDefinition redshiftDatasetDefinition)
```
    Parameters:
    
    redshiftDatasetDefinition -
  - getRedshiftDatasetDefinition
```
public RedshiftDatasetDefinition getRedshiftDatasetDefinition()
```
    Returns:
  - withRedshiftDatasetDefinition
```
public DatasetDefinition withRedshiftDatasetDefinition(RedshiftDatasetDefinition redshiftDatasetDefinition)
```
    Parameters:
    
    redshiftDatasetDefinition -
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setLocalPath
```
public void setLocalPath(String localPath)
```
    The local path where you want Amazon SageMaker to download the Dataset Definition inputs to run a processing job. LocalPath is an absolute path to the input data. This is a required parameter when AppManaged is False (default).
    
    Parameters:
    
    localPath - The local path where you want Amazon SageMaker to download the Dataset Definition inputs to run a processing job. LocalPath is an absolute path to the input data. This is a required parameter when AppManaged is False (default).
  - getLocalPath
```
public String getLocalPath()
```
    The local path where you want Amazon SageMaker to download the Dataset Definition inputs to run a processing job. LocalPath is an absolute path to the input data. This is a required parameter when AppManaged is False (default).
    
    Returns:
    
    The local path where you want Amazon SageMaker to download the Dataset Definition inputs to run a processing job. LocalPath is an absolute path to the input data. This is a required parameter when AppManaged is False (default).
  - withLocalPath
```
public DatasetDefinition withLocalPath(String localPath)
```
    The local path where you want Amazon SageMaker to download the Dataset Definition inputs to run a processing job. LocalPath is an absolute path to the input data. This is a required parameter when AppManaged is False (default).
    
    Parameters:
    
    localPath - The local path where you want Amazon SageMaker to download the Dataset Definition inputs to run a processing job. LocalPath is an absolute path to the input data. This is a required parameter when AppManaged is False (default).
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setDataDistributionType
```
public void setDataDistributionType(String dataDistributionType)
```
    Whether the generated dataset is FullyReplicated or ShardedByS3Key (default).
    
    Parameters:
    
    dataDistributionType - Whether the generated dataset is FullyReplicated or ShardedByS3Key (default).
    
    See Also:
    
    DataDistributionType
  - getDataDistributionType
```
public String getDataDistributionType()
```
    Whether the generated dataset is FullyReplicated or ShardedByS3Key (default).
    
    Returns:
    
    Whether the generated dataset is FullyReplicated or ShardedByS3Key (default).
    
    See Also:
    
    DataDistributionType
  - withDataDistributionType
```
public DatasetDefinition withDataDistributionType(String dataDistributionType)
```
    Whether the generated dataset is FullyReplicated or ShardedByS3Key (default).
    
    Parameters:
    
    dataDistributionType - Whether the generated dataset is FullyReplicated or ShardedByS3Key (default).
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    DataDistributionType
  - withDataDistributionType
```
public DatasetDefinition withDataDistributionType(DataDistributionType dataDistributionType)
```
    Whether the generated dataset is FullyReplicated or ShardedByS3Key (default).
    
    Parameters:
    
    dataDistributionType - Whether the generated dataset is FullyReplicated or ShardedByS3Key (default).
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    DataDistributionType
  - setInputMode
```
public void setInputMode(String inputMode)
```
    Whether to use File or Pipe input mode. In File (default) mode, Amazon SageMaker copies the data from the input source onto the local Amazon Elastic Block Store (Amazon EBS) volumes before starting your training algorithm. This is the most commonly used input mode. In Pipe mode, Amazon SageMaker streams input data from the source directly to your algorithm without using the EBS volume.
    
    Parameters:
    
    inputMode - Whether to use File or Pipe input mode. In File (default) mode, Amazon SageMaker copies the data from the input source onto the local Amazon Elastic Block Store (Amazon EBS) volumes before starting your training algorithm. This is the most commonly used input mode. In Pipe mode, Amazon SageMaker streams input data from the source directly to your algorithm without using the EBS volume.
    
    See Also:
    
    InputMode
  - getInputMode
```
public String getInputMode()
```
    Whether to use File or Pipe input mode. In File (default) mode, Amazon SageMaker copies the data from the input source onto the local Amazon Elastic Block Store (Amazon EBS) volumes before starting your training algorithm. This is the most commonly used input mode. In Pipe mode, Amazon SageMaker streams input data from the source directly to your algorithm without using the EBS volume.
    
    Returns:
    
    Whether to use File or Pipe input mode. In File (default) mode, Amazon SageMaker copies the data from the input source onto the local Amazon Elastic Block Store (Amazon EBS) volumes before starting your training algorithm. This is the most commonly used input mode. In Pipe mode, Amazon SageMaker streams input data from the source directly to your algorithm without using the EBS volume.
    
    See Also:
    
    InputMode
  - withInputMode
```
public DatasetDefinition withInputMode(String inputMode)
```
    Whether to use File or Pipe input mode. In File (default) mode, Amazon SageMaker copies the data from the input source onto the local Amazon Elastic Block Store (Amazon EBS) volumes before starting your training algorithm. This is the most commonly used input mode. In Pipe mode, Amazon SageMaker streams input data from the source directly to your algorithm without using the EBS volume.
    
    Parameters:
    
    inputMode - Whether to use File or Pipe input mode. In File (default) mode, Amazon SageMaker copies the data from the input source onto the local Amazon Elastic Block Store (Amazon EBS) volumes before starting your training algorithm. This is the most commonly used input mode. In Pipe mode, Amazon SageMaker streams input data from the source directly to your algorithm without using the EBS volume.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    InputMode
  - withInputMode
```
public DatasetDefinition withInputMode(InputMode inputMode)
```
    Whether to use File or Pipe input mode. In File (default) mode, Amazon SageMaker copies the data from the input source onto the local Amazon Elastic Block Store (Amazon EBS) volumes before starting your training algorithm. This is the most commonly used input mode. In Pipe mode, Amazon SageMaker streams input data from the source directly to your algorithm without using the EBS volume.
    
    Parameters:
    
    inputMode - Whether to use File or Pipe input mode. In File (default) mode, Amazon SageMaker copies the data from the input source onto the local Amazon Elastic Block Store (Amazon EBS) volumes before starting your training algorithm. This is the most commonly used input mode. In Pipe mode, Amazon SageMaker streams input data from the source directly to your algorithm without using the EBS volume.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    InputMode
  - 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 DatasetDefinition 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.

AWS SDK for Java 1.x API Reference - 1.12.792

Class DatasetDefinition

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

DatasetDefinition

Method Detail

setAthenaDatasetDefinition

getAthenaDatasetDefinition

withAthenaDatasetDefinition

setRedshiftDatasetDefinition

getRedshiftDatasetDefinition

withRedshiftDatasetDefinition

setLocalPath

getLocalPath

withLocalPath

setDataDistributionType

getDataDistributionType

withDataDistributionType

withDataDistributionType

setInputMode

getInputMode

withInputMode

withInputMode

toString

equals

hashCode

clone

marshall