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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.
Namespace: Amazon.SageMaker.Model
Assembly: AWSSDK.SageMaker.dll
Version: 3.x.y.z
public class DataProcessing
The DataProcessing type exposes the following members
Name | Description | |
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DataProcessing() |
Name | Type | Description | |
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InputFilter | System.String |
Gets and sets the property InputFilter.
A JSONPath
expression used to select a portion of the input data to pass to the algorithm. Use
the
Examples: |
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JoinSource | Amazon.SageMaker.JoinSource |
Gets and sets the property JoinSource.
Specifies the source of the data to join with the transformed data. The valid values
are
For JSON or JSONLines objects, such as a JSON array, SageMaker adds the transformed
data to the input JSON object in an attribute called 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. |
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OutputFilter | System.String |
Gets and sets the property 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,
Examples: |
.NET:
Supported in: 8.0 and newer, Core 3.1
.NET Standard:
Supported in: 2.0
.NET Framework:
Supported in: 4.5 and newer, 3.5