java.lang.Object
- software.amazon.awssdk.services.sagemaker.model.DataProcessing

All Implemented Interfaces:

Serializable, SdkPojo, ToCopyableBuilder<DataProcessing.Builder,DataProcessing>
```
@Generated("software.amazon.awssdk:codegen")
public final class DataProcessing
extends Object
implements SdkPojo, Serializable, ToCopyableBuilder<DataProcessing.Builder,DataProcessing>
```
The data structure used to specify the data to be used for inference in a batch transform job and to associate the data that is relevant to the prediction results in the output. The input filter provided allows you to exclude input data that is not needed for inference in a batch transform job. The output filter provided allows you to include input data relevant to interpreting the predictions in the output from the job. For more information, see Associate Prediction Results with their Corresponding Input Records.

See Also:

Serialized Form

Nested Class Summary

Nested Classes
Modifier and Type Class Description

static interface DataProcessing.Builder

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`static DataProcessing.Builder`	`builder()`
`boolean`	`equals(Object obj)`
`boolean`	`equalsBySdkFields(Object obj)`
`<T> Optional<T>`	`getValueForField(String fieldName, Class<T> clazz)`
`int`	`hashCode()`
`String`	`inputFilter()`	A JSONPath expression used to select a portion of the input data to pass to the algorithm.
`JoinSource`	`joinSource()`	Specifies the source of the data to join with the transformed data.
`String`	`joinSourceAsString()`	Specifies the source of the data to join with the transformed data.
`String`	`outputFilter()`	A JSONPath expression used to select a portion of the joined dataset to save in the output file for a batch transform job.
`List<SdkField<?>>`	`sdkFields()`
`static Class<? extends DataProcessing.Builder>`	`serializableBuilderClass()`
`DataProcessing.Builder`	`toBuilder()`
`String`	`toString()`	Returns a string representation of this object.

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

Methods inherited from interface software.amazon.awssdk.utils.builder.ToCopyableBuilder
copy

- Method Detail
  - inputFilter
```
public final String inputFilter()
```
    A JSONPath expression used to select a portion of the input data to pass to the algorithm. Use the InputFilter parameter to exclude fields, such as an ID column, from the input. If you want SageMaker to pass the entire input dataset to the algorithm, accept the default value $.
    
    Examples: "$", "$[1:]", "$.features"
    
    Returns:
    
    A JSONPath expression used to select a portion of the input data to pass to the algorithm. Use the InputFilter parameter to exclude fields, such as an ID column, from the input. If you want SageMaker to pass the entire input dataset to the algorithm, accept the default value $.
    
    Examples: "$", "$[1:]", "$.features"
  - outputFilter
```
public final String outputFilter()
```
    A JSONPath expression used to select a portion of the joined dataset to save in the output file for a batch transform job. If you want SageMaker to store the entire input dataset in the output file, leave the default value, $. If you specify indexes that aren't within the dimension size of the joined dataset, you get an error.
    
    Examples: "$", "$[0,5:]", "$['id','SageMakerOutput']"
    
    Returns:
    
    A JSONPath expression used to select a portion of the joined dataset to save in the output file for a batch transform job. If you want SageMaker to store the entire input dataset in the output file, leave the default value, $. If you specify indexes that aren't within the dimension size of the joined dataset, you get an error.
    
    Examples: "$", "$[0,5:]", "$['id','SageMakerOutput']"
  - joinSource
```
public final JoinSource joinSource()
```
    Specifies the source of the data to join with the transformed data. The valid values are None and Input. The default value is None, which specifies not to join the input with the transformed data. If you want the batch transform job to join the original input data with the transformed data, set JoinSource to Input. You can specify OutputFilter as an additional filter to select a portion of the joined dataset and store it in the output file.
    
    For JSON or JSONLines objects, such as a JSON array, SageMaker adds the transformed data to the input JSON object in an attribute called SageMakerOutput. The joined result for JSON must be a key-value pair object. If the input is not a key-value pair object, SageMaker creates a new JSON file. In the new JSON file, and the input data is stored under the SageMakerInput key and the results are stored in SageMakerOutput.
    
    For CSV data, SageMaker takes each row as a JSON array and joins the transformed data with the input by appending each transformed row to the end of the input. The joined data has the original input data followed by the transformed data and the output is a CSV file.
    
    For information on how joining in applied, see Workflow for Associating Inferences with Input Records.
    
    If the service returns an enum value that is not available in the current SDK version, joinSource will return JoinSource.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available from joinSourceAsString().
    
    Returns:
    
    Specifies the source of the data to join with the transformed data. The valid values are None and Input. The default value is None, which specifies not to join the input with the transformed data. If you want the batch transform job to join the original input data with the transformed data, set JoinSource to Input. You can specify OutputFilter as an additional filter to select a portion of the joined dataset and store it in the output file.
    
    For JSON or JSONLines objects, such as a JSON array, SageMaker adds the transformed data to the input JSON object in an attribute called SageMakerOutput. The joined result for JSON must be a key-value pair object. If the input is not a key-value pair object, SageMaker creates a new JSON file. In the new JSON file, and the input data is stored under the SageMakerInput key and the results are stored in SageMakerOutput.
    
    For CSV data, SageMaker takes each row as a JSON array and joins the transformed data with the input by appending each transformed row to the end of the input. The joined data has the original input data followed by the transformed data and the output is a CSV file.
    
    For information on how joining in applied, see Workflow for Associating Inferences with Input Records.
    
    See Also:
    
    JoinSource
  - joinSourceAsString
```
public final String joinSourceAsString()
```
    Specifies the source of the data to join with the transformed data. The valid values are None and Input. The default value is None, which specifies not to join the input with the transformed data. If you want the batch transform job to join the original input data with the transformed data, set JoinSource to Input. You can specify OutputFilter as an additional filter to select a portion of the joined dataset and store it in the output file.
    
    For JSON or JSONLines objects, such as a JSON array, SageMaker adds the transformed data to the input JSON object in an attribute called SageMakerOutput. The joined result for JSON must be a key-value pair object. If the input is not a key-value pair object, SageMaker creates a new JSON file. In the new JSON file, and the input data is stored under the SageMakerInput key and the results are stored in SageMakerOutput.
    
    For CSV data, SageMaker takes each row as a JSON array and joins the transformed data with the input by appending each transformed row to the end of the input. The joined data has the original input data followed by the transformed data and the output is a CSV file.
    
    For information on how joining in applied, see Workflow for Associating Inferences with Input Records.
    
    If the service returns an enum value that is not available in the current SDK version, joinSource will return JoinSource.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available from joinSourceAsString().
    
    Returns:
    
    Specifies the source of the data to join with the transformed data. The valid values are None and Input. The default value is None, which specifies not to join the input with the transformed data. If you want the batch transform job to join the original input data with the transformed data, set JoinSource to Input. You can specify OutputFilter as an additional filter to select a portion of the joined dataset and store it in the output file.
    
    For JSON or JSONLines objects, such as a JSON array, SageMaker adds the transformed data to the input JSON object in an attribute called SageMakerOutput. The joined result for JSON must be a key-value pair object. If the input is not a key-value pair object, SageMaker creates a new JSON file. In the new JSON file, and the input data is stored under the SageMakerInput key and the results are stored in SageMakerOutput.
    
    For CSV data, SageMaker takes each row as a JSON array and joins the transformed data with the input by appending each transformed row to the end of the input. The joined data has the original input data followed by the transformed data and the output is a CSV file.
    
    For information on how joining in applied, see Workflow for Associating Inferences with Input Records.
    
    See Also:
    
    JoinSource
  - toBuilder
```
public DataProcessing.Builder toBuilder()
```
    Specified by:
    
    toBuilder in interface ToCopyableBuilder<DataProcessing.Builder,DataProcessing>
  - builder
```
public static DataProcessing.Builder builder()
```
  - serializableBuilderClass
```
public static Class<? extends DataProcessing.Builder> serializableBuilderClass()
```
  - hashCode
```
public final int hashCode()
```
    Overrides:
    
    hashCode in class Object
  - equals
```
public final boolean equals(Object obj)
```
    Overrides:
    
    equals in class Object
  - equalsBySdkFields
```
public final boolean equalsBySdkFields(Object obj)
```
    Specified by:
    
    equalsBySdkFields in interface SdkPojo
  - toString
```
public final 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
  - getValueForField
```
public final <T> Optional<T> getValueForField(String fieldName,
                                              Class<T> clazz)
```
  - sdkFields
```
public final List<SdkField<?>> sdkFields()
```
    Specified by:
    
    sdkFields in interface SdkPojo

Class DataProcessing

Nested Class Summary

Method Summary

Methods inherited from class java.lang.Object

Methods inherited from interface software.amazon.awssdk.utils.builder.ToCopyableBuilder

Method Detail

inputFilter

outputFilter

joinSource

joinSourceAsString

toBuilder

builder

serializableBuilderClass

hashCode

equals

equalsBySdkFields

toString

getValueForField

sdkFields