MS Azure Machine Learning activity
An activity that creates score models based on data from your AgilePoint NX app that Microsoft Azure Machine Learning can analyze.
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Configure the MS Azure Machine Learning activity
To configure the MS Azure Machine Learning activity, do the procedure in this topic.
Examples
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:
How to Start
- Open Process Builder.
For information about how to open this screen, refer to Process Builder.
- In Process Builder, in the Activity Library
open the Machine Learning tab.
- On the
Machine Learning tab,
drag the MS Azure Machine Learning
activity onto your process.
General Configuration
Specifies the basic settings for the MS Azure Machine Learning activity.
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Good to Know
- Documentation for this screen is provided for completeness. The fields are mostly self-explanatory.
Fields
Field Name | Definition |
---|---|
Display Name |
|
Description |
|
Machine Learning Configuration
Configures score models with your process, activities, and schema.
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Fields
Field Name | Definition |
---|---|
Add Score Model |
|
Edit |
|
Delete |
|
MS Azure Machine Learning |
|
Create |
|
Activity |
|
On Event |
|
Request Mapping |
|
Map Response to AgilePoint Schema |
|
Store the Response in Custom Attribute |
|