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 15:45, 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
  • Extend corrmap to yblock.
evricompatibility
  • Re-enable checking via website.
experimentreadr
  • Fix to allow experiment file with just file names.
clutter filter
  • Added capability to use CLS residuals as a clutter source and can cross-validate over alpha parameter for GLSW and over number of PCs for EPO (also know as "Gray CLS").
mlr
  • Update internal crossval.
  • Update quadraticInit to be 1 instead of 0.
plotgui

Can now plot Y-block scores for PLS, PLSDA, and N-PLS models.

Parallel Computing