Release Notes Version 9 2: Difference between revisions

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==Changes and Bug Fixes in Version 9.2==
==Changes and Bug Fixes in Version 9.2==


Version 9.2 of PLS_Toolbox and Solo is scheduled for released in January, 2023.
Version 9.2 of PLS_Toolbox and Solo was released in January, 2023.


(back to [[Release Notes PLS Toolbox and Solo]])
(back to [[Release Notes PLS Toolbox and Solo]])
==New Features in Solo and PLS_Toolbox==
==New Features in Solo and PLS_Toolbox==


* [[ModelBuilding_Biplot | BIPLOTS]] - Include lines drawn from loadings points to origin.
* [[ModelBuilding_Biplot | BIPLOTS]] - Include lines drawn from loadings points to origin  
* [[dataset2table | DATASET2TABLE]] - Added function to convert DataSets to MATLAB table datatype.
* [[dataset2table | DATASET2TABLE]] - Add function to convert DataSets to MATLAB table datatype
* [[Hmac | HMAC]] - Add object that automatically creates a hierarchical model for classification problems.
* [[Hmac | HMAC]] - Add object that automatically creates a hierarchical model (PLSDA models) for classification problems
* [[Python_configuration | PYTHONTOOLS]] - Add support for Python 3.10 and Mac M1.
** Functionality added to the Hierarchical Model Builder to:
* [[Software_Development_Kit_(SDK) | SOFTWAREDEVKIT]] - Add support for C# and MATLAB.
*** Load a dataset
* [[Testrobustness | TESTROBUSTNESS]] - Enable testrobustness function for non-linear regression methods (lwr, svm, ann, anndl, xgb).
*** Select a class set
*** Select preprocessing
*** Automatically build the hierachical model and populate the Hierarchical Model Builder interface
* [[Python_configuration | PYTHONTOOLS]] - Add support for Python 3.10 and Mac M1
**
* [[Testrobustness | TESTROBUSTNESS]] - Enable testrobustness function for non-linear regression methods (lwr, svm, ann, anndl, xgb)


==Other Features and Improvements ==
==Other Features and Improvements ==
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|'''[[analysis]]'''
|'''[[analysis]]'''
|
|
* Extend corrmap to yblock.
* Extend correlation mapping to yblock.
|----
 
|----valign="top"
|'''[[Declutter_Settings_Window | clutter filter]]'''
|
* Extended capability added in versions 9.0 and 9.1 to the declutter GUI to allow cross-validation over alpha parameter for GLSW and over number of PCs for EPO (also known as "Gray CLS").
|----
|----


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|'''[[evricompatibility]]'''
|'''[[evricompatibility]]'''
|
|
* Re-enable checking via website.
* Re-enable version compatibility checking via website.
|----
|----


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|'''[[experimentreadr]]'''
|'''[[experimentreadr]]'''
|
|
* Fix to allow experiment file with just file names.
* Fixed a bug that was introduced in 9.1 to allow importing an experiment file with just file names.
|----
|----


|----valign="top"
|----valign="top"
|'''[[Declutter_Settings_Window | clutter filter]]'''
|'''[[mlr]]'''
|
|
* 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").
* Update internal crossval to give repeatable crossvalidation results.
* Update quadraticInit to be 1 instead of 0.
|----
|----


|----valign="top"
|----valign="top"
|'''[[mlr]]'''
|'''[[initevripct | Parallel Computing]]'''
|
|
* Update internal crossval.
* Parallel Computing Toolbox enabled by default for functions that use PCT ([[mlr | MLR]], [[svm | SVM]], [[svmda | SVMDA]] and [[datafit_engine | DATAFIT]] ).
* Update quadraticInit to be 1 instead of 0.
|----
 
|----valign="top"
|----valign="top"
|'''[[plotgui]]'''
|'''[[plotgui]]'''
|
|
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.
|----
|----


|}
|}

Latest revision as of 11:31, 31 January 2023

Changes and Bug Fixes in Version 9.2

Version 9.2 of PLS_Toolbox and Solo was 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 - Add function to convert DataSets to MATLAB table datatype
  • HMAC - Add object that automatically creates a hierarchical model (PLSDA models) for classification problems
    • Functionality added to the Hierarchical Model Builder to:
      • Load a dataset
      • Select a class set
      • Select preprocessing
      • Automatically build the hierachical model and populate the Hierarchical Model Builder interface
  • PYTHONTOOLS - Add support for Python 3.10 and Mac M1
  • TESTROBUSTNESS - Enable testrobustness function for non-linear regression methods (lwr, svm, ann, anndl, xgb)

Other Features and Improvements

File Comment
analysis
  • Extend correlation mapping to yblock.
clutter filter
  • Extended capability added in versions 9.0 and 9.1 to the declutter GUI to allow cross-validation over alpha parameter for GLSW and over number of PCs for EPO (also known as "Gray CLS").
evricompatibility
  • Re-enable version compatibility checking via website.
experimentreadr
  • Fixed a bug that was introduced in 9.1 to allow importing an experiment file with just file names.
mlr
  • Update internal crossval to give repeatable crossvalidation results.
  • Update quadraticInit to be 1 instead of 0.
Parallel Computing
plotgui
  • Can now plot Y-block scores for PLS, PLSDA, and N-PLS models.
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