TransformResources (AWS Java SDK for Amazon SageMaker 1.11.411 API)

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

All Implemented Interfaces:

StructuredPojo, Serializable, Cloneable
```
@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public class TransformResources
extends Object
implements Serializable, Cloneable, StructuredPojo
```
Describes the resources, including ML instance types and ML instance count, to use for transform job.

See Also:

AWS API Documentation, Serialized Form

Constructor Summary

Constructors
Constructor and Description

TransformResources()

Constructors
Constructor and Description
`TransformResources()`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`TransformResources`	`clone()`
`boolean`	`equals(Object obj)`
`Integer`	`getInstanceCount()` The number of ML compute instances to use in the transform job.
`String`	`getInstanceType()` The ML compute instance type for the transform job.
`String`	`getVolumeKmsKeyId()` The Amazon Resource Name (ARN) of a AWS Key Management Service key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the batch transform job.
`int`	`hashCode()`
`void`	`marshall(ProtocolMarshaller protocolMarshaller)`
`void`	`setInstanceCount(Integer instanceCount)` The number of ML compute instances to use in the transform job.
`void`	`setInstanceType(String instanceType)` The ML compute instance type for the transform job.
`void`	`setVolumeKmsKeyId(String volumeKmsKeyId)` The Amazon Resource Name (ARN) of a AWS Key Management Service key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the batch transform job.
`String`	`toString()` Returns a string representation of this object; useful for testing and debugging.
`TransformResources`	`withInstanceCount(Integer instanceCount)` The number of ML compute instances to use in the transform job.
`TransformResources`	`withInstanceType(String instanceType)` The ML compute instance type for the transform job.
`TransformResources`	`withInstanceType(TransformInstanceType instanceType)` The ML compute instance type for the transform job.
`TransformResources`	`withVolumeKmsKeyId(String volumeKmsKeyId)` The Amazon Resource Name (ARN) of a AWS Key Management Service key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the batch transform job.

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

- Constructor Detail
  - TransformResources
```
public TransformResources()
```
- Method Detail
  - setInstanceType
```
public void setInstanceType(String instanceType)
```
    The ML compute instance type for the transform job. For using built-in algorithms to transform moderately sized datasets, ml.m4.xlarge or ml.m5.large should suffice. There is no default value for InstanceType.
    
    Parameters:
    
    instanceType - The ML compute instance type for the transform job. For using built-in algorithms to transform moderately sized datasets, ml.m4.xlarge or ml.m5.large should suffice. There is no default value for InstanceType.
    
    See Also:
    
    TransformInstanceType
  - getInstanceType
```
public String getInstanceType()
```
    The ML compute instance type for the transform job. For using built-in algorithms to transform moderately sized datasets, ml.m4.xlarge or ml.m5.large should suffice. There is no default value for InstanceType.
    
    Returns:
    
    The ML compute instance type for the transform job. For using built-in algorithms to transform moderately sized datasets, ml.m4.xlarge or ml.m5.large should suffice. There is no default value for InstanceType.
    
    See Also:
    
    TransformInstanceType
  - withInstanceType
```
public TransformResources withInstanceType(String instanceType)
```
    The ML compute instance type for the transform job. For using built-in algorithms to transform moderately sized datasets, ml.m4.xlarge or ml.m5.large should suffice. There is no default value for InstanceType.
    
    Parameters:
    
    instanceType - The ML compute instance type for the transform job. For using built-in algorithms to transform moderately sized datasets, ml.m4.xlarge or ml.m5.large should suffice. There is no default value for InstanceType.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    TransformInstanceType
  - withInstanceType
```
public TransformResources withInstanceType(TransformInstanceType instanceType)
```
    The ML compute instance type for the transform job. For using built-in algorithms to transform moderately sized datasets, ml.m4.xlarge or ml.m5.large should suffice. There is no default value for InstanceType.
    
    Parameters:
    
    instanceType - The ML compute instance type for the transform job. For using built-in algorithms to transform moderately sized datasets, ml.m4.xlarge or ml.m5.large should suffice. There is no default value for InstanceType.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    TransformInstanceType
  - setInstanceCount
```
public void setInstanceCount(Integer instanceCount)
```
    The number of ML compute instances to use in the transform job. For distributed transform, provide a value greater than 1. The default value is 1.
    
    Parameters:
    
    instanceCount - The number of ML compute instances to use in the transform job. For distributed transform, provide a value greater than 1. The default value is 1.
  - getInstanceCount
```
public Integer getInstanceCount()
```
    The number of ML compute instances to use in the transform job. For distributed transform, provide a value greater than 1. The default value is 1.
    
    Returns:
    
    The number of ML compute instances to use in the transform job. For distributed transform, provide a value greater than 1. The default value is 1.
  - withInstanceCount
```
public TransformResources withInstanceCount(Integer instanceCount)
```
    The number of ML compute instances to use in the transform job. For distributed transform, provide a value greater than 1. The default value is 1.
    
    Parameters:
    
    instanceCount - The number of ML compute instances to use in the transform job. For distributed transform, provide a value greater than 1. The default value is 1.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setVolumeKmsKeyId
```
public void setVolumeKmsKeyId(String volumeKmsKeyId)
```
    The Amazon Resource Name (ARN) of a AWS Key Management Service key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the batch transform job.
    
    Parameters:
    
    volumeKmsKeyId - The Amazon Resource Name (ARN) of a AWS Key Management Service key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the batch transform job.
  - getVolumeKmsKeyId
```
public String getVolumeKmsKeyId()
```
    The Amazon Resource Name (ARN) of a AWS Key Management Service key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the batch transform job.
    
    Returns:
    
    The Amazon Resource Name (ARN) of a AWS Key Management Service key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the batch transform job.
  - withVolumeKmsKeyId
```
public TransformResources withVolumeKmsKeyId(String volumeKmsKeyId)
```
    The Amazon Resource Name (ARN) of a AWS Key Management Service key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the batch transform job.
    
    Parameters:
    
    volumeKmsKeyId - The Amazon Resource Name (ARN) of a AWS Key Management Service key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the batch transform job.
    
    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; useful for testing and debugging.
    
    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 TransformResources clone()
```
    Overrides:
    
    clone in class Object
  - marshall
```
public void marshall(ProtocolMarshaller protocolMarshaller)
```
    Specified by:
    
    marshall in interface StructuredPojo

Class TransformResources

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

TransformResources

Method Detail

setInstanceType

getInstanceType

withInstanceType

withInstanceType

setInstanceCount

getInstanceCount

withInstanceCount

setVolumeKmsKeyId

getVolumeKmsKeyId

withVolumeKmsKeyId

toString

equals

hashCode

clone

marshall