Machine learning is an application of artificial intelligence (AI) that focuses on the development of computer programs that can access data and use it to learn for themselves. Comidor provides ML models such as Predictive ML Models and ML Text Classification Models in order to enhance Digital Process Automation. Use existing data to train your ML Models and get predictions on specified user fields. With Comidor ML Text classification model, assign tags or categories to text according to the field content.

With Comidor ML models you can:

• Enhance process automation
• Eliminate errors
• Save processing time

Comidor ML Text classification can be used for:

• Topic labeling
• Spam detection
• Intent detection

ML Predictive Models

To access ML Predictive Models, go to App Factory Icon > RPA & AI/ML > Predictive Models.

1. Click on the + Icon at the top of the screen to open the Create Form.
2. Type a Title for your ML Predictive Model.
3. Link the Model with a Connected Application or select the respective Entity.
4. Choose your preferred Classifier: 
   • Comidor offers a variety of algorithms that sort data into labelled classes or categories of information, such as J48, DecisionTable, DecisionStump, etc.
5. The Target field refers to the field you want to make the prediction for. Depending on the entity you have selected above, it will populate relevant fields to choose from.
6. Add 2 or more Training fields:
   • The values of these fields will be used by the classifier.
   • The user fields available here are linked to the entity you have chosen.
7. Limit training data with a condition to define specific values to be used by the classifier.
8. Select the desired Save option (refer to the Quick Reference Guide).

Edit ML Predictive Models

1. Go to App Factory Icon > RPA & AI/ML > Predictive Models.
2. Select the ML Predictive Model to edit.
3. Click on the Edit button to open the Edit Form.
4. Edit the information you want and click on the desired Save option (refer to Quick Reference Guide)
   

   

Train ML Predictive Models

After creating your ML Predictive Model, you have to train the Classifier based on the data entered in Comidor. The training process might take a while. The more data we have, the better the Accuracy we achieve.

1. Go to App Factory Icon > RPA & AI/ML > Predictive Models.
2. Select the ML Predictive Model to train.
3. Click on the Train button. Click on this option as many times as you wish, until you reach an acceptable Accuracy rate.
4. Click on the Save button that is appearing next to the Accuracy percentage. The ML Predictive Model is ready to be used in a workflow.

Delete ML Predictive Models

1. Go to App Factory Icon > RPA & AI/ML > Predictive Models.
2. Select one or more ML Predictive Models records.
3. Click on Delete to delete one or multiple ML Predictive Models at the same time. A confirmation pop-up box appears.

ML Text Classification

To access ML Text Classification, go to App Factory Icon > RPA & AI/ML > Text Classification.

1. Click on the + Icon at the top of the screen to open the Create Form.
2. Type a Title for your ML Text Classification.
3. Link the Classification with a Connected Application or select the respective Entity.
4. The Target field refers to the field you want to make the prediction for. Depending on the entity you have selected above, it will populate relevant text fields to choose from.
5. Add Training field:
   • The values of this text field will be used by the Text classifier.
   • The text user fields available here are linked to the entity you have chosen.
6. Limit training data with a condition to define specific values to be used by the Text Classifier.
7. Select the desired Save option (refer to the Quick Reference Guide).

Edit ML Text Classification

1. Go to App Factory Icon > RPA & AI/ML > Text Classification.
2. Select an ML Text Classification to edit.
3. Click on the Edit button to open the Edit Form.
4. Edit the information you want and click on the desired Save option (refer to Quick Reference Guide).

Train ML Text Classification Model

After creating your ML Text Classification model, you have to train the Classifier based on the data entered in Comidor. The training process might take a long time to fetch accurate results. The more data we have, the better Accuracy we achieve.

1. Go to App Factory Icon > RPA & AI/ML > Text Classification.
2. Select the ML Text Classification Model to train.
3. Click on the Train button. Once you click on this option, you can see the Accuracy rate of the Text Classifier. Click on this button as many times as you wish, until you reach an acceptable Accuracy rate.
4. Click on the Save button. The ML Text Classification Model is ready to be used in a workflow.

Delete ML Text Classification

1. Go to App Factory Icon > RPA & AI/ML > Text Classification.
2. Select one or more ML Text Classification records.
3. Click on Delete to delete one or multiple ML Text Classifications at the same time. A confirmation pop-up box appears.

Add a Predictive ML in the workflow design, to trigger an ML Predictive Model and get a prediction for the Target Field of a workflow, or a Text Classification to classify the selected Target field based on the Text Classification Model.

To access Workflows go to App Factory Icon > Workflow Automation > Workflows

Predictive ML

• Drag-and-drop the Predictive ML.
• Give a Title to the component.
• Give the Parent Stage which is the stage of the parent process as soon as this step is reached.
• Select which Model you would like to run at this step, from the list of the ML Predictive Models that you have already created.

Text Classification

• Drag-and-drop the Text Classification element.
• Give a Title to the component.
• Give the Parent Stage which is the stage of the parent process as soon as this step is reached.
• Select which Model you would like to run at this step, from the list of the ML Text Classification Models that you have already created.
• You will also see the Target field and the Training field(s) that were selected in the ML Text Classification Model in view-only mode.

Find out more on how to create and manage workflows step by step and learn all about Comidor Workflow Elements.

The post ML Predictive Models & ML Text Classification appeared first on Comidor Low-code Automation Platform.

Most business processes include authorisation steps and document approvals.
With the Comidor Signature Models & Digital Signature component you can automatically include digital signatures to PDF documents.

Incorporate the Comidor digital signatures in your business processes with the following steps:

1. Draw or upload your personal signature
2. Create a signature model
3. Connect the digital signature component in your workflow

With Comidor Signature Models & Digital Signature component you can:

• Enhance process automation
• Eliminate errors
• Save processing time

1. Draw or upload your personal signature

Every user can specify their own digital signature, which can be used in PDF documents of a workflow.

• Go to the user icon on the top right of your screen > Settings.

• In the pop-up window, select the Signature tab.
• You can click on the “Design your signature” button.
  

  

  • In the pop-up window, you can draw your signature with your mouse.
  • Click on the “Clear” button to erase your drawing or on “Sav”e to store it.
• Alternatively, click on the “Upload your signature” button to upload an image file from your desktop.

• Click on “Save Changes” so as to store the signature settings.
  • A refresh of your browser is also required.

2. Create a signature model

In the second step, you should create one or more signature models, to provide PDF templates with the pages and exact parts of the document where you wish the signatures to be added.

To access Signature Models, go to App Factory Icon > RPA & AI/ML > Signature Models.

1. Click on the + Icon at the top of the screen to open the Creation Form.
2. Type a Title for your Signature Model.
3. Choose a Document in PDF format as your template.
4. Select the desired Save option (refer to the Quick Reference Guide).

After saving your Signature Model, you can get a preview of the document you uploaded.

1. The document you have uploaded in the creation form is displayed per page so you can select which page you would like to view.
2. Click on the “Add signature” icon, to add as many signatures needed to be included in your document.
   1. A signature box will be displayed in your page with an incremental number as title (Signature 1, Signature 2, etc).
   2. You can drag-and-drop the signature box and place it easily in the spot you wish to be displayed.
   3. The signature box can be also resized (from the bottom corner) or deleted.
   4. Any change you made in your model is automatically saved.

Edit Signature Models

1. Go to App Factory Icon > RPA & AI/ML Automation > Signature Models.
2. Select the Signature Model to edit.
3. Click on the Edit button to open the Edit Form.
4. Edit the information you want and click on the desired Save option (refer to Quick Reference Guide)
5. Any change you made in your model view form (signature spots, size, etc.) is automatically saved.
   

   

Delete Signature Models

1. Go to the App Factory Icon > RPA & AI/ML > Signature Models.
2. Select one or more Signature Models records.
3. Click on Delete to delete one or multiple Signature Models at the same time. A confirmation pop-up box appears.

3. Connect the digital signature component with your workflow

Add a Digital Signature component in the workflow design, to include digital signatures in PDF documents of your process after specific steps/approvals.

There are two options:

• Include a digital signature from a user  (as defined in their user settings); the workflow will add it automatically to the place of the document as per the signature model.
• Send an email to a recipient(workflow field), with a link. The email recipient by clicking on the link will be re-directed to another page with the full document. There, the recipient can read the whole document, switch from one page to another, draw his signature, place it in the document, resize it and finally submit it. The workflow will await until the signature is added.

To access Workflows, go to App Factory Icon > Workflow Automation > Workflows and choose the design tab.

Digital Signature

• Drag and drop the Digital Signature in the workflow pool.
• Give a Title to the component.
• Give the Parent Stage which is the stage of the parent process as soon as this step is reached.
• Signature Document: choose the binary field, where the user will upload the document in PDF format without signatures. After the digital signature component runs, the selected binary field will store the PDF document with the signature.
• Select which Model you would like to run at this step, from the list of the Signature Models that you have already created.
• User’s Signature: choose which user’s signature you want to add to your document.
• Signature position at Document: refers to the number of the signature that you need to place in your document (Eg. 1, 2, etc.).

• Check the option Send Email if you want the digital signature to be added by an external user.
  • Define the Email Recipient; choose from a list of text/email fields. This field should get value in a previous step of the workflow.
  • Type your Email body. With the rich text, you can add colours, styles, and font sizes and fully customize your email message.

Find out more on how to create and manage workflows step by step and learn all about Comidor Workflow Elements.

The post Digital Signature & Signature Models appeared first on Comidor Low-code Automation Platform.