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Machine Learning Models

The Machine Learning Model represents the Machine Learning features, the mapping between features and IFS Cloud data, and configuration options that will be passed to the Machine Learning Service for training.

Activities in Machine Learning Models

Train Model

This will send all Machine Learning Data to the ML Service for the selected Machine Learning Model. The Machine Learning Data will be used to train the Machine Learning Model in the ML Service.

Refresh Training Status

This will query the status of the current progress or the state of the Machine Learning Model’s Training Status from the ML Service and display it on the selected Machine Learning Model record.

Refresh Model Status

This will query the status of the Machine Learning Model from the ML Service and display it on the selected Machine Learning Model record.

Edit/View Parameters

This opens a dialog where the parameters for the Machine Learning Model can be modified or viewed.

Parameters can only be modified when the Machine Learning Model is not currently being trained.

Add/View Schedule

If the Machine Learning Model does not have a schedule already, it's possible to use the Add Schedule option to add a schedule to the Machine Learning Model.

Once a schedule has been added, the schedule can be viewed and modified using the View Schedule option. This will navigate to a detailed view of the schedule where the parameters can be edited and the schedule can be activated as per the requirement.

Note: The Next Execution Date of the model will not be displayed unless a schedule is activated. Activating a schedule means choosing to re-train the Machine Learning Model on available data from IFS Cloud at a pre-scheduled date/time.

View Background Jobs

This allows users to view the history of the Model Training Jobs that were run.

More details related to a background job can be viewed by selecting Show Details for the background job.

Read more about Background Jobs.

View Application Messages

This allows viewing the message requests and responses to and from the Machine Learning Service.

Read more about Application Messages.

View Logs

This will navigate to the Machine Learning Logs page and display logs for the selected Machine Learning Model.

Read more about Machine Learning Logs.