Mapping using Recommendation Configuration - Intergraph Smart Reference Data - Version 10.2 - Help - Hexagon

Intergraph Smart Reference Data - Transition from Classic (10.2)

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Smart Materials/Smart Reference Data Version
10.2

The Recommendation Configuration is supported by Artificial Intelligence.

Recommendation Configuration helps you by suggesting the Commodity Codes or Codelists during the auto map procedure. Recommendation Configuration must be trained till it reaches the required accuracy level so that the configuration can suggest accurate mappings. At any given time, you can have only one configuration for the given staging area and mapping type.

If you want to re-train the configuration from scratch again, you can Reset it. When you reset the configuration, all the trainings that were done previously to train the configuration will be discarded. Along with that, you can import or export the mapped Commodity Codes/Codelists.

To train the recommendations model correctly, always ensure that the Connection String in the Login parameters (Connection < Login Parameters) must be same as the Connection String updated in the Web.Config file located in the SRDAPI folder.

Prerequisites

  • Set the access permissions in Smart Material Web application. For more information, see Roles and Menus.

  • The administrator can setup the configuration details in the web.config file that is updated in the SRD Service location. For more information, see Setup Authentication Configuration Details.

    Users without admin privileges can access SRD API from SRD client by clicking on Authenticate API Access under Utilities. For more information, see the Utility section in Home.

  • Set the details such as number of cores, path, and frequency in the Administration module of Options page. For more information, see Configuration settings in Smart Reference Data.

There are different visual indications for the Recommendation Configuration, which is mentioned below:

Visual Indicator

State/Mode

What they mean

Inactive

Inactive Mode

Indicates that the configuration has never been trained

Inactive-active

Training and Production modes

Indicates that the training has started and is in progress

When you select the configuration and mapping type for the first time, you can see that the bulb icon at the top right is OFF. This indicates that the configuration has never been trained (In-active mode).

Also, in the Inactive state, you will notice that there are a large number of commodity codes/codelists which have to be mapped. To simplify the process, you can filter them and train them to get better recommendations.

When you change the mode of the configuration to Training, the bulb icon at the top starts to blink. You can now notice the filtered list of commodity codes/codelists. Also, the Accuracy value appears to be at Zero. You can now begin mapping this filtered list to begin training the configuration.

Based on the auto-train frequency value setup by the administrator in the Options screen, the mappings done in that time-period are used to develop the Recommendations model and the Accuracy value increases in the Training mode.

When the Accuracy Value increases to the required value, you can change the mode from Training to Production to get the recommendations using AutoMap button. The training continues even while mapping the commodity codes/codelists using Automap button in the Production mode. You can also manually map to continue training the configuration to further increase the Accuracy value. However, the accuracy does not increase immediately during the training in the Production mode. After training the configuration, you must close and revisit the same staging area to view the updated Accuracy value.

In the Production mode, if any other user is training the same staging area, then you cannot see the updated Accuracy value. You will see the updated Accuracy value when you revisit the staging area, only if no other user is currently training the same staging area.