Release Notes Version 9 2: Difference between revisions
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Can now plot Y-block scores for PLS, PLSDA, and N-PLS models. | Can now plot Y-block scores for PLS, PLSDA, and N-PLS models. | ||
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|'''[[initevripct | Parallel Computing]]''' | |||
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* Parallel Computing Toolbox enabled by default for functions that use PCT ([[mlr | MLR]], [[svm | SVM]], [[svmda | SVMDA]] and [[datafit_engine | DATAFIT]] ). | |||
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Revision as of 14:45, 9 January 2023
Changes and Bug Fixes in Version 9.2
Version 9.2 of PLS_Toolbox and Solo is scheduled for released in January, 2023.
(back to Release Notes PLS Toolbox and Solo)
New Features in Solo and PLS_Toolbox
- BIPLOTS - Include lines drawn from loadings points to origin.
- DATASET2TABLE - Added function to convert DataSets to MATLAB table datatype.
- HMAC - Add object that automatically creates a hierarchical model for classification problems.
- PYTHONTOOLS - Add support for Python 3.10 and Mac M1.
- SOFTWAREDEVKIT - Add support for C# and MATLAB.
- TESTROBUSTNESS - Enable testrobustness function for non-linear regression methods (lwr, svm, ann, anndl, xgb).
Other Features and Improvements
File | Comment |
analysis |
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evricompatibility |
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experimentreadr |
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clutter filter |
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mlr |
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plotgui |
Can now plot Y-block scores for PLS, PLSDA, and N-PLS models. |
Parallel Computing |