MS Azure Machine Learning tab

This section gives full information about the activities on the Microsoft Azure Machine Learning tab.

Prerequisites

Good to Know

  • 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?

Activities in Process Builder

You can use out-of-the-box activities for MS Azure Machine Learning to execute actions in process-based apps.

An activity is a functional unit, or task, in a process-based app. Activities that integrate with a third-party system provide access to the API functionality for that system in a simple, point-and-click, form-entry format. This means that you can easily leverage APIs without writing code.

Figure: Process Activities for MS Azure Machine Learning (MS Azure Machine Learning tab)

Process Activities for MS Azure Machine Learning

The following activities are available for MS Azure Machine Learning:

  • Prediction – Adapt Flow
  • Prediction - Initiate Subprocess
  • Prediction – Send Notification
  • Get Prediction

For more information, refer to the process activities for Amazon SageMaker in Process Builder.

Figure: Process Activities for MS Azure Machine Learning (Machine Learning tab)

Process Activities for MS Azure Machine Learning tab

The following activities are available:

  • MS Azure Machine Learning

For more information, refer to the Machine Learning tab in Process Builder.