Escopo de Extratores de Treinamento

UiPath.IntelligentOCR.Activities.Training.TrainExtractors

Description

Fornece um escopo para quaisquer atividades de extrator que você deseja treinar. Você deve adicionar as atividades do extrator dentro desse escopo.

Compatibilidade do projeto

Windows-Legacy | Windows

Propriedades

Painel de Propriedades

Comum

• DisplayName - O nome de exibição da atividade.

Entrada

• ModeloDeObjetoDeDocumento — o modelo de objeto do documento que você deseja usar para validar o documento. Este modelo é armazenado em uma variável Document e pode ser recuperado da atividade Digitize Document . Acesse Digitize Document para saber como conseguir isso. Este campo é compatível apenas com variáveis Document .
• DocumentPath - The path to the document you want to validate. This field supports only strings and String variables.
  Observação:

  The supported file types for this property field are: .png, .gif, .jpe, .jpg, .jpeg, .tiff, .tif, .bmp, and .pdf.

• DocumentText - The text of the document itself, stored in a String variable. This value can be retrieved from the Digitize Document activity. Visit Digitize Document to learn how to achieve this. This field supports only strings and String variables.
• HumanValidatedData - The output from the Validation Station, stored in an ExtractionResult proprietary variable.
  Observação:

  If the DocumentObjectModel and HumanValidatedData files are from different sources, an error is thrown at runtime.

Diversos

• Privado - Se selecionado, os valores de variáveis e argumentos não são mais registrados no nível Verbose.

Usando o Assistente para configurar extratores

1. Add a Train Extractors Scope activity to your workflow.

2. In the Properties panel, add your custom configurations in the DocumentObjectModel, DocumentPath, DocumentText and HumanValidatedData fields.

3. Add an extractor trainer activity (for instance, Machine Learning Extractor Trainer), or create a custom activity for extractor training by implementing the classes and place it inside the Train Extractors Scope activity.

   1. To configure your extractors, select Configure Extractors. You can now see the Configure Extractors wizard.

      Figure 1. Overview of the Configure Extractors wizard

      

   2. Para usar um extrator específico em um tipo de documento inteiro ou um campo específico dentro desse documento, selecione as caixas de seleção ao lado do tipo ou campos de documento. Ao selecionar um tipo de documento inteiro, todos os campos correspondentes também serão selecionados automaticamente.

      Figure 2. Animated image showing the process of selecting document types or corresponding fields for extraction

      

4. Select Get of refresh extractor capabilities, for the extractors that support this functionality, to map your taxonomy fields with the available extractor fields, or refresh them in case the extractor fields have changed. After you configure the capabilities, select Get Capabilities, to reflect the changes in the Configure Extractors wizard.

   Figure 3. Animated image showing the process of refreshing the extractor capabilities for a Machine Learning Extractor

   

5. To train the extractor based on its extraction result, start by entering any alphanumeric value in the Framework Alias field. After this, go on to set the exact value in the corresponding Framework Alias field of one or more trainers. This creates a link between the extractor and the respective trainer(s).

6. Select Save once all the extractors are selected.

Integração de Compreensão de Documentos

The Train Extractors Scope activity is part of the Document Understanding solutions. Visit the Document Understanding Guide for more information.