Model Information

The Model Information module is a critical component of our product that provides valuable insights into trained machine learning (ML) models. This documentation offers comprehensive guidance on how to effectively utilize the Model Information module to manage and publish trained ML models.

 

Accessing Model Information

To access the Model Information page, follow these steps:

In the main menu, under Application Setup, click Model Information. The Model Information page opens.

Following tabs are available on the Model Information page:

  • Custom

  • Standard

Click on the buttons inside the tabbed menu to know more.

Displays the list of custom machine learning models published for a specific batch. Utilize the Search field to filter and find specific records within the displayed grid. (Refer searching data).

Column header descriptions

COLUMN NAME

DESCRIPTION

Batch Name

Displays the batch name associated with the machine learning model.

Model Information Type

Displays the type of ML model.

Instance Name

Displays the name of the ML model instance.

Version

Displays the version of the ML model.

Action

Displays the delete icon to remove the ML model and view report icon to view the version and class information.

 

Deleting ML model

To delete a ML model, follow these steps:

  1. Click under Action column, a Attention window opens.

  1. Click Yes to permanently remove the ML model from the list.

Viewing report

To view report, follow these steps:

  1. Click under Action column, a Version and Class Information window opens. It displays the list of trained versions and classes.

  2. Click Close to close the window.

Displays the list of standard ML models. The Search field allows you to search for the required records displayed in the grid based on the search criteria entered (Refer searching data).

Column header descriptions

COLUMN NAME

DESCRIPTION

Model Information Type

Displays the type of ML model.

Instance Name

Displays the name of the ML model instance.

Version

Displays the version of the ML model.

 

 

Note:

  • When an ML model is removed from the model information page; it's status is shown as Model Removed in the model metrics screen.

  • If an ML model is incremented, creating a new model appending the previous model's learnings, the older model's status is shown as Unpublished in the model metrics screen.

  • A removed ML model cannot be re-published, whereas an ML model with Unpublished status can be re-published.