Predictive Learning (PRL) nodes¶

Predictive Learning combines analytics, statistics and machine learning algorithms to provide unmatched insight into trends in your data. Combining predictive technology with IoT, service, field, and other data streams allows you to generate a deeper impact on the customer experience. Leveraging as-used data to identify patterns and sequences of events, companies can engage with customers and resolve potential issues before problems arise.

In Visual Flow Creator, Predictive Learning (PRL) nodes allows you to create, list and re-run the jobs by integrating with Predictive Learning application.

The "PRL" nodes and their respective functions in Visual Flow Creator are described in the following sections:

• List PRL resources node
• Create PRL job node

List PRL resources node¶

The "list prl resources" node lists all the available resources in Predictive Learning and stores the data in the message payload.

Using list PRL resources node¶

To list all the available resources in Predictive Learning, follow these steps:

1. From the node palette, drag and drop the "inject" node from the input palette, "list PRL resources" node from the PRL palette and "debug" node from the output palette to the working area. Connect the nodes in a flow as shown below:

   

2. Double click on "inject" node to edit the properties. For more information, refer to Editing nodes.

3. Double click on "list PRL resources" node to edit the properties.

   • Enter the "Name".
   • In the "Resource type" section, you can select any one of the following options from the dropdown menu.
   • Click "Done".

   

4. Save and execute the flow.

The following graphics shows in the message payload:

Create PRL job node¶

The "create PRL job" node allows you to create a new job in Predictive Learning through VFC and stores the data in the message payload. The status of the created job can be monitored via debug messages and Predictive Learning application. After the job is completed, object will be sent with all the internal information about completed job details.

Using create PRL job node¶

To create a new PRL job, follow these steps:

1. From the node palette, drag and drop the "inject" node from input palette, "create PRL job" node from PRL palette and "debug" node from output palette to the working area. Connect the nodes in a flow as shown below:

2. Double click on "inject" node to edit the properties. For more information, refer to Editing nodes.

3. Double click on "create PRL job" node to edit the properties.

   • Enter the "Name".
   • In the "Storage Type" section, you can select any one of the following options from the dropdown menu.
   • Click "Done".

4. Save and execute the flow.

The following graphics shows the new PRL job created in the message payload and monitor the progress of the created job via debug messages:

You can also check the progress of the newly created job in Predictive Learning application.