Prediction - Adapt Flow (MS Azure Machine Learning) activity

Prerequisites

• AgilePoint NX OnDemand (public cloud), or AgilePoint NX PrivateCloud or AgilePoint NX OnPremises v9.0 Software Update 1 or higher.

Good to Know

• ​​To send an email notification, click Advanced > Email Notifications .

  For more information, refer to Email Notifications screen (Process Activities).

• In most text fields, you can use process data variables as an alternative to literal data values.
• You can configure whether this activity waits for other activities before it runs.

  For more information, refer to How Do I Configure an Activity to Wait for Other Incoming Activities?

• This section shows the configuration settings on the configuration screens for this activity. Other configuration settings apply to system activities. For more information, refer to:
  • Properties for System Activities
  • BPMN Properties screen
  • Notifications
• Some information about third-party integrations is outside the scope of the AgilePoint NX Product Documentation. It is the responsibility of the vendors who create and maintain these technologies to provide this information. This includes specific business use cases and examples; explanations for third-party concepts; details about the data models and input and output data formats for third-party technologies; and various types of IDs, URL patterns, connection string formats, or other technical information that is specific to the third-party technologies. For more information, refer to Where Can I Find Information and Examples for Third-Party Integrations?

How to Start

1. Open Process Builder.

   For information about how to open this screen, refer to Process Builder.

   
   
   

2. In Process Builder, in the Activity Library, open the MS Azure Machine Learning tab.

   
   
   

3. On the MS Azure Machine Learning tab, drag the Prediction - Adapt Flow activity onto your process.

   
   
   

Specifies the basic settings for the Prediction - Adapt Flow activity.

Good to Know

• Documentation for this screen is provided for completeness. The fields are mostly self-explanatory.

Full documentation coming soon.

Full documentation coming soon.

Full documentation coming soon.

Full documentation coming soon.

Full documentation coming soon.

Full documentation coming soon.

Full documentation coming soon.

Full documentation coming soon.

Full documentation coming soon.