Altair HyperStudy 2022.2 Release Notes
New Features
- Auto-Create a New DOE Approach Based on Pareto Ranking
- Input variables are ranked based on the percentage of their global contribution. Using the ranking, a new DOE approach can be created with only the most influential ones being active.
- Visualize Range of Estimates for Each Prediction Point
- For both Scalar and Vector Fit, an option in Trade-Off has been added to display confidence intervals.
- Pedigree Information for Each Run
- The origin of run number and source approach is now reported for each evaluated process.
- Dedicated Post-Processing Tab for Curve Matching
- In the Post-Processing step, curve-matching performance for each evaluated point can now be displayed.
- New Data Source Tool for Extracting Data of Text Files
- In addition to the ASCII Extract option, Regex Extract tool has been added to extract data via regular expressions.
- Mobility for Vector Predictions
- Vector Fit models can now be exported in FMU format.
Enhancements
- Excel Connection: Option to Save as Copy
- A copy of an excel session can optionally be saved in each run directory.
- Building Vector Fits with Efficient Sampling
- Sampling Fit approach has been extended to support vector fit models.
Resolved Issues
- Correction to numerical discrepancies in HS-1610.
- Undo action now works for removed models.