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Reference guides are available for functions and commands supported by OML, Tcl, and Python.
romAI
Post-Processor Tab
The Post-Processor tab lets you visualize and evaluate the trained ROM.
Instance Evaluation Tab
romAI can be used to generate static ROMs.

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Reference Guides
Reference guides are available for functions and commands supported by OML, Tcl, and Python.
- Scripting Guide for OpenMatrix Language
  OpenMatrix is a mathematical scripting language.
- Reference Guide for OpenMatrix Language Functions
  The Reference Guide contains documentation for all functions supported in the OpenMatrix language.
- Python in Compose Reference Guide
- romAI
  - Introduction
    romAI is an application that is comprised of libraries from the Altair Composeand Altair Twin Activate software products.
  - Design Fundamentals
    romAI serves two purposes.
  - Theoretical Framework
    Some system theory terminology must be understood.
  - ROM Framework
  - Workflow
    The typical workflow has four steps.
  - Installation
    The romAI tool is enabled through Extension Manager.
  - GUI
    The first steps of the workflow are accomplished through the GUI.
  - Pre-Processor Tab
    The Pre-Processor tab contains the optional pre-processing step.
  - Builder Tab
    The Builder tab facilitates the training step.
  - Post-Processor Tab
    The Post-Processor tab lets you visualize and evaluate the trained ROM.
    - Check Loss
      View the overall training, validation, and test loss.
    - Check Accuracy
      The R² Accuracy check is applicable only for static models.
    - Define Hyper Planes
    - Time Simulation Tab
      If romAI is used to generate dynamic ROMs, it is important to have a tool that easily performs preliminary time simulations to assess the accuracy of the transient behavior after the romAI model has been trained.
    - Instance Evaluation Tab
      romAI can be used to generate static ROMs.
    - Report Generation
      The report generation tools can be accessed from Tools menu.
  - ROM Generation Tips
  - Batch Training
    The training procedure can be carried over without using the GUI.
  - Batch Execution
    The simulation and evaluation of a romAI model can be also done via batch in the Compose OML editor without the need to deploy the trained romAI model into a Twin Activate block, using the romAI_execute function.
  - Frequently Asked Questions
Appendix
Get help for the optional libraries that are available in the Extension Manager.
Frequently Asked Questions
You've got questions? We've got answers!

Instance Evaluation Tab

romAI can be used to generate static ROMs.

In this scenario, a time simulation is not meaningful, and it is replaced by a classical inference operation over the loaded dataset. Also, the tab name changes from “Time Sim” to “Instance Eval.”

Repeating the same steps as before, the following scatter plot is generated for a static ROM:

Blue dots: The static results produced by the static romAI model, given the inputs contained in the dataset file.
Green dots: the target results.
RMSE Metric: Root Mean Square Error calculated between the romAI and dataset instances.
Note: RMSE is calculated for the segment and output currently active.