Embedded Machine Learning Scenario

Note: Use of an external service to connect to IoT IA services has been deprecated and will be removed in a future release. IoT IA is being replaced by Embedded Learning.

This page is accessed via Logistics Machine Learning > Machine Learning Scenario.

A scenario defines one or more particular use cases on which you want to run machine learning algorithms. For example, consider shipments with a particular transport mode, such as truckload, LTL, and parcel.

You can include scenarios as part of a machine learning project by clicking New Machine Learning Scenario on the Machine Learning Project screen. This allows you to run training for all of the scenarios on the project and compare the results. For example, you can include three scenarios: one for truckload, one for LTL, and one for parcel transport modes. Then, you can compare the results.

Adding a Machine Learning Scenario

1. Enter a meaningful Scenario ID.
2. Enter a Scenario Name such as ETA_NA.USA_TL.
3. Enter a Description to capture the purpose of the scenario.
4. Select a Domain Name.
5. Enter the Project ID if this is created directly. If creating the modeling scenario from a modeling project, the project ID is entered automatically.
6. Select one of the following Objective Model Types when Objective of Embedded Learning is selected on the machine learning project: 
   • an Objective Model Type of Planned ETA Prediction, you see a single option of Planned ETA Prediction. This option creates machine learning models that only consider shipment-level histories and are good for predicting shipments that are either not executed or do not have any tracking events. This option only supports truckload shipments at this time.
   • an Objective Model Type of Order Route Prediction, you see a single option of Order Route Prediction. This model type uses historical order data (trend/seasonality in lanes, volumes etc.) to show the most probable routes along with their corresponding probabilities.

Deleting a Machine Learning Scenario

If you delete the project, all scenario data associated to the project is deleted. Also, the corresponding data in Logistics Machine Learning Intelligence is deleted.