Search: join-data-table

Automation of Fields Capture Custom Table Data Configure Automation Type for Pipeline Configure Fields for Data Extraction

[6] Customize Data Extract

Customizing Data Extract

* [[Automation of Fields>>path:/bin/view/akaBot%20Vision/Customizing%20Data%20Extract/Automation%20of%20Fields%20in%20akaBot%20Vision/]] * [[Capture Custom Table Data>>path:/bin/view/akaBot%20Vision

/Configure%20Automation%20Type%20for%20Pipeline%20/]] * [[Configure Fields for Data Extraction>>path:/bin

to add a collection of items to a data table to a specific queue. Once it is added to the queue

) - The data table that you want to add the queue into. QueueName (String) - The queue to which the new queue

Output Result (DataTable) - This is the data table that you have added to the queue.

of items to a data table to a specific queue. Once it is added to the queue, the items’ status is changed

. The default value is: AllOrNothing * **Queue Items DataTable (DataTable)** - The data table that you want

**Output** * **Result (DataTable) **- This is the data table that you have added to the queue

After importing the document successfully and the data extraction process is successfully finished

, 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

="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

in each field that has been detected incorrectly [[image:image-20220420193327-2.png||data-xwiki-image

in edit mode. Select Data Source. Search jhi_dataset table and drag it to the data source interface. Select a relationship with an existing table on the data source interface.

Dataset The default columns in the Business Dataset table are Manual Time and Hourly Cost. You can also

[1] ROI data set

in edit mode. 1. Select **Data Source**. 1. Search **jhi_dataset **table and drag it to the data source interface. 1. Select a relationship with an existing table on the data source interface. ))) {{velocity

** == The default columns in the **Business Dataset** table are **Manual Time** and **Hourly Cost**. You can also

RCA.Activities.ComputerVision.CVTableExtract Description Extracts a table that is visible

to consider data security requirement before using this property. Display Name (String) - The name

] CV Table Extract Output Result (DataTable) - The retrieved table, stored in a DataTable variable

CV Table Extract

CV Table Extract

" %) ((( RCA.Activities.ComputerVision.CVTableExtract == **Description** == Extracts a table that is visible on the screen and stores

) **- Check if you want to public the activity. Remember to consider data security requirement before using

to organize and structure your code better. E.g: [201135155] CV Table Extract **Output** * **Result

, data tables or other types of collections. (* for Mandatory) Properties Input Values (IEnumerable)*- Iterate through the data and process each piece of information individually. Able to input variable

it, the data of this activity will be shown in the log. Be careful, consider data security before using

" %) ((( RCA.Activities.Core.ForEach == **Description** == This activity allows you to loop through arrays, lists, data tables

) == **Properties** == **Input** * **Values (IEnumerable)***- Iterate through the data and process each piece

. E.g: [389861710] For Each < T > * **Public (Checkbox)** - If you check it, the data of this activity

documents to extract data. Staff can create a new learning model by following these below steps: Step 1

choose base model, staff will have to create form fields and table from scratch Step 5: Click "Save

. With the Form Fields, staff should label both "Label" and "Value" for each field if having enough data

, send the learning models to production and use them to run on actual documents to extract data. Staff

||cursorshover="true"]] * If staff doesn't choose base model, staff will have to create form fields and table

" for each field if having enough data in documents. This helps the model will extract data more exactly

Each Pipeline defines the structure of Data fields that akaBot Vision extracts. Description When editing this structure you have two options: Use pre-trained Data fields – AkaBot Vision’s Generic AI engine has been pre-trained to recognize specific Data fields and enables you to start extracting data

[3] Configure Fields for Data Extraction

Customizing Data Extract

Configuring Fields for Data Extraction

="wikigeneratedid" id="HParagraph1" %) Each Pipeline defines the structure of Data fields that akaBot Vision

options: * Use pre-trained Data fields – AkaBot Vision’s Generic AI engine has been pre-trained to recognize specific Data fields and enables you to start extracting data without any additional training

in the SQL parameter. ・TableDirect - Invokes all records from a table. Output Data Table (DataTable

Configure Connection - Set connection string, data source, data provider. Edit Query - SQL command

to consider data security requirement before using it. Display Name (String) - The name of this activity. You

in the SQL parameter. ・TableDirect - Invokes all records from a table. **Output** * **Data Table (DataTable

connection string, data source, data provider. [[image:https://docs.akabot.com/bin/download/Activities

to consider data security requirement before using it. * **Display Name (String)** - The name of this activity

and structure your code better. Public (Checkbox) - Check if you want to public it. Remember to consider data security requirement before using it. Default is uncheck. Table of Content

)** - Check if you want to public it. Remember to consider data security requirement before using it. Default is uncheck. ))) (% class="akb-toc" %) ((( (% class="akb-toc-title" %) ((( Table of Content ))) {{toc depth