Released: November 16, 2020
Highlight: Dakota GUI Updates
- New "Sandbox View" for fast visualizations of generic data using Chartreuse.
- Support added to Chartreuse for CSV files
- Four-dimensional Chartreuse scatter plots (i.e. time-based node coloring)
- Dakota Input File Editing
- New form-based editors for Dakota interface blocks and hybrid method blocks.
- Limited support for visualization of Dakota uncertainty variables (normal, lognormal, weibull)
- Pre-processing markup supported in Dakota text editor, which also provides a new mechanism for assigning multiple NGW-based analysis drivers at runtime.
- Dark theme support for Dakota text editor
- New column-based QOI extractors for extracting fields from tabular/CSV-based data
- Warning: The qoiExtractor node in Next-Gen Workflow has received backwards-incompatible changes. You must delete your qoiExtractor nodes and reconfigure them upon switching to 6.13
- "dprepro" node added to Next-Gen Workflow
- General enhancements for the New Dakota Study wizard
Enabling / Accessing: Dakota GUI ships with Dakota and is available for Windows, Mac, and RHEL7.
Documentation: An enhanced version of the Dakota GUI manual now ships with the GUI, giving you easy access to a wealth of reference material for using the GUI. The 6.13 GUI manual is also available here.
Highlight: Surrogate Models
New polynomial and Gaussian proces surrogate models notably gained save/load capability, metrics including cross-validation, and a Python interface and are more widely available in Dakota methods. Details:
- Serialization together with Pybind11-based Python wrappers allow export of surrogates from Dakota for later use directly from Python.
- New GP, including surrogate export is now available in EGO, EGRA, and global interval methods
- New minor features: advanced options configuration via external XML file, none/reduced_quadratic trend option, GP performance improvements, verbosity control, MLE estimation history, embed variable/response labels
Enabling / Accessing: Most surrogate features are default-enabled in Dakota, however the Python interface must be manually enabled at compile time by specifying DAKOTA_PYTHON_SURROGATES:BOOL=TRUE.
Documentation: See Section 8.4.7 in the Dakota 6.13 User's Manual, together with reference manual documentation for global surrogate models and the methods mentioned above.