- 概述
- Document Understanding 流程
- 快速入门教程
- 框架组件
- ML 包
- 管道
- Document Manager
- OCR 服务
- 部署在 Automation Suite 中的 Document Understanding
- 在 AI Center 独立版中部署的 Document Understanding
- 深度学习
- 许可
- 参考
- UiPath.Abbyy.Activities
- UiPath.AbbyyEmbedded.Activities
- UiPath.DocumentUnderstanding.ML.Activities
- UiPath.DocumentUnderstanding.OCR.LocalServer.Activities
- UiPath.Intelligent OCR.Activities
- UiPath.OCR.Activities
- UiPath.OCR.Contracts
- UiPath.DocumentProcessing.Contracts
- UiPath.OmniPage.Activities
- UiPath.PDF.Activities
数据集诊断
从头开始训练新模型有时可能是一项非常艰巨的工作。
Dataset Diagnostics feature helps you build effective datasets by providing feedback and hints of the steps needed to achieve good accuracy for the trained model.
数据集诊断位于 Document Manager 的管理栏中,在训练新模型的整个过程中提供可视化和书面指导。
“管理”栏中显示了三个数据集状态级别:
- Red - More labelled training data is required.
- Orange - More labelled training data is recommended.
- Green - The needed level of labelled training data is achieved.
如果会话中未创建任何字段,则数据集状态级别为灰色。
有关每种状态的更多信息,请参见“数据集诊断”弹出菜单。单击“数据集诊断”按钮即可打开该菜单。
数据集诊断菜单
“数据集”选项卡
提供有关用于训练模型的文档、导入的页面总数和已加标签页面的总数的信息。
颜色状态栏上的分隔由训练模型所需的建议标签页数和数据集的实际状态(包括已加标签和未加标签数据)确定。将鼠标悬停在状态栏的每种颜色上,可在工具提示中看到有关每种状态的额外信息。
“数据集”选项卡上的可用数字是根据训练过程中常规字段和项目字段的数量计算得出的。
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Red - The dataset requires more labelled data for training the model.
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Orange - For an increased level of accuracy on the trained model, more labelled data is recommended. You can choose to proceed further with the actual data, but the level of accuracy is not as high as wanted.
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Green - The labelled data is enough for the dataset to be trained accordingly and to receive accurate information.
“字段”选项卡
提供有关每个已加标签字段的信息,更准确地说是已加标签的训练页面总数、具有已加标签字段的评估文档总数及其当前训练集的状态。
- Field - The name of the labelled field.
- Training Pages - The number of pages in the Training+Validation set on which the field is labelled.
- Evaluation Documents - The number of documents in the Evaluation set on which this field is labelled.
- Status - The status of each field, marked by three options, Red, Orange, and Green.
Here are all the options available for the Status bar:
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Red - There is insufficient data about the field, more labels being required.
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Orange - More pages need to be labelled for the results to be relevant.
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Green - There are enough labelled pages for the results to be relevant.
Refresh and Close buttons are applicable for both tabs, meaning that if the Refresh button is clicked on the Dataset tab, the Fileds tab is also refreshed.
- Refresh - Use the refresh option after alterations have been made to the dataset, whether on the number of total pages or the number of labelled pages. The popup menu automatically refreshes every few minutes and it takes place on both tabs, simultaneously. Use this function when a refresh is needed outside the automatic window.
- Close - Once all the needed information is gathered, close the menu by clicking on the Close button. The entire popup menu is closed, no matter the tab from which the button is clicked.