検索:remove-data-row

adminが2022/04/24 04:58に最終更新

6件のうち1 - 6 ページ 1

[3] Review Document (en)

adminが2024/01/11 18:13に最終更新
表示されるドキュメントの内容
, akaBot Vision provides users with the capability to add or remove rows in a table To insert a row, you can click "+" icon To delete a row, you can click "x" icon To add a new row at the end of the table
After importing the document successfully and the data extraction process is successfully finished
ドキュメントの内容のソース
or remove rows in a table * To insert a row, you can click "+" icon * To delete a row, you can click "x
="wikigeneratedid" %) After importing the document successfully and the data extraction process is successfully
with this status in the “To review” tab in the user interface. [[image:image-20220420193327-1.png||data-xwiki

[1] Create New Learning Model (en)

adminが2024/01/11 18:17に最終更新
表示されるドキュメントの内容
documents to extract data. Staff can create a new learning model by following these below steps: Step 1
fields by clicking button "Add field" or remove fields by unticking some fields. If staff doesn't
" button Note: Staff can not add, remove and configure fields after saving. So please check carefully
ドキュメントの内容のソース
, send the learning models to production and use them to run on actual documents to extract data. Staff
button "Add field" or remove fields by unticking some fields. [[image:image-20230213141833-4.png
" %) ((( **Step 5**: Click "Save" button ))) (% class="box warningmessage" %) ((( Note: Staff can not add, remove

[1] Create an Account (en)

adminが2024/01/10 15:46に最終更新
表示されるドキュメントの内容
1. Create an Account Note: Although akaBot Vision currently supports Pre-trained data fields only for Invoice processing, the technology is documented agnostic and can extract data from any
customizable, so you can add/group/remove pipelines as needed. Table of Content
ドキュメントの内容のソース
currently supports Pre-trained data fields only for Invoice processing, the technology is documented agnostic and can extract data from any structured document including receipts, purchase orders, shipping
-20220420182302-1.png||alt="image-20220420183141-4.png" data-xwiki-image-style-alignment="center"]] **Step 2

[1] Import Document Manually (en)

adminが2023/05/14 13:09に最終更新
表示されるドキュメントの内容
When you send a document to the pipeline, akaBot Vision will immediately start to extract the data from it. Description During this stage, the document has an importing status. In case something
will be removed and the new documents will appear in the pipeline. Those documents need to be reprocessed by AI
ドキュメントの内容のソース
the data from it. == **Description** == (% class="wikigeneratedid" %) During this stage, the document has an importing status. (% style="text-align:center" %) [[[[image:image-20220420191058-1.png||data-xwiki-image
" %) [[[[image:image-20220420191111-2.png||data-xwiki-image-style-alignment="center"]]>>attach:image-20220420191111-2

[3] ドキュメントの確認

adminが2023/10/19 15:43に最終更新
表示されるドキュメントの内容
に新しい行を追加するには、「Add row」ボタンをクリックします。 これらの機能により、ユーザは特定の要件に合わせてテーブルを簡単に変更できます。 その他のアクション == メインダッシュボード
ドキュメントの内容のソース
-20220420193327-1.png||data-xwiki-image-style-alignment="center"]] **注**:パイプラインの「Automation」設定が有効にする場合、正常に処理
" %) [[image:image-20220420193327-2.png||data-xwiki-image-style-alignment="center"]] さらに、akaBot Visionは、テーブルの行
するには、「Add row」ボタンをクリックします。 これらの機能により、ユーザは特定の要件に合わせてテーブルを簡単に変更できます。 [[image:image-20230504160038-2.png

[1] Terms of Service (en)

adminが2024/01/16 13:39に最終更新
表示されるドキュメントの内容
collectively referred to as the “Parties” or individually as a “Party”.“  Content” means any data, whether
to the akaBot Vision Solution with the purpose of processing them and extracting Parsed Data.  “Parsing Rule(s
algorithm what nature and kind of data the Client wants to pull out from the Processed Documents.  “Parsed
ドキュメントの内容のソース
may remove Processed Documents, Content, Parsed Content and Accounts containing data that the Service
”.“  \\Content” means any data, whether personal or not, contained in the Processed Document sent by the Client
Parsed Data.  \\“Parsing Rule(s)” means the collection of simple instructions, standard or tailored
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