- Overview
- Getting Started
- Activities
- Insights Dashboards
- Document Understanding Process
- Quickstart Tutorials
- Framework Components
- ML Packages
- Overview
- Document Understanding - ML Package
- DocumentClassifier - ML Package
- ML Packages With OCR Capabilities
- 1040 - ML Package
- 1040 Schedule C - ML Package
- 1040 Schedule D - ML Package
- 1040 Schedule E - ML Package
- 4506T - ML Package
- 990 - ML Package - Preview
- ACORD125 - ML Package
- ACORD126 - ML Package
- ACORD131 - ML Package
- ACORD140 - ML Package
- ACORD25 - ML Package
- Bank Statements - ML Package
- BillsOfLading - ML Package
- Certificate of Incorporation - ML Package
- Certificate of Origin - ML Package
- Checks - ML Package
- Children Product Certificate - ML Package
- CMS 1500 - ML Package
- EU Declaration of Conformity - ML Package
- Financial Statements - ML Package
- FM1003 - ML Package
- I9 - ML Package
- ID Cards - ML Package
- Invoices - ML Package
- Invoices Australia - ML package
- Invoices China - ML package
- Invoices India - ML package
- Invoices Japan - ML package
- Invoices Shipping - ML Package
- Packing Lists - ML Package
- Payslips - ML Package
- Passports - ML Package
- Purchase Orders - ML Package
- Receipts - ML Package
- RemittanceAdvices - ML Package
- UB04 - ML Package
- Utility Bills - ML Package
- Vehicle Titles - ML Package
- W2 - ML Package
- W9 - ML Package
- Other Out-of-the-box ML Packages
- Public Endpoints
- Traffic limitations
- OCR Configuration
- Pipelines
- OCR Services
- Deep Learning
- Licensing
Automated Training
Use the Automated Training option for training an extractor straight in Document Understanding. Once you choose this option, you have to add an Extractor Name, select the preferred Document Type, select the Model that you want to use, and its version, enable or disable the Use GPU option and select the version of the model. When finished, click on the Train button.
Keep in mind that before starting training an extractor, you need to have at least ten documents labelled in the session that you are planning on using.
This functionality automatically creates a new Dataset in AI Center with the name previously given by you in the Extractor Name field of the Train extraction dataset popup window.
You can see more details about the created Automated Training action by clicking on the name of the extractor from the Extractors page, or by clicking on the actions menu, and selecting the Details option.
Here's a list with all the information provided by the Details option:
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Training set - Specifies the number of documents and number of pages processed.
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Pages Extracted - Specifies the number of extracted pages.
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F1 Score - Provides an accuracy score percentage for the dataset.
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Status - Provides the status of the extraction action.
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Document types - Provides the list of Document types used for the action.
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Package Name - Provides the name of the used ML Package.
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Package Version - Provides the version of the used ML Package model.
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ML Skill details - Provides the URL of the ML Skill created for the dataset. You can copy it and use it in your workflow.
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Dataset link - Provides the public endpoint URL of the created (public) dataset.
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Pipeline details - Provides the URL of the pipeline created for the dataset.
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View/Hide Logs - Provides a list with all the logs of the created dataset. You can copy it and use it when needed.
