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Evaluate a Trained Model - Automation Cloud latest
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Document Understanding User Guide for Modern Experience
Last updated Feb 22, 2024

Evaluate a Trained Model

Configure the evaluation pipeline as follows:

  • In the Pipeline type field, select Evaluation run.
  • In the Choose package major version field, select a major version for your package.
  • In the Choose package minor version field, select a minor version you want to evaluate.
  • In the Choose evaluation dataset field, select a representative evaluation dataset.
  • In the Enter parameters section, there is one environment variable is relevant for Evaluation pipelines you could use:
  • eval.redo_ocr which, if set to true, allows you to rerun OCR when running the pipeline to assess the impact of OCR on extraction accuracy. This assumes an OCR engine was configured when the ML Package was created.
  • The Enable GPU slider is disabled by default, in which case the pipeline is runs on CPU. We strongly recommend that Evaluation pipelines run only on CPU.
  • Select one of the options when the pipeline should run: Run now,Time based or Recurring.



  • After you configure all the fields, click Create. The pipeline is created.
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