Release Notes Version 9 2: Difference between revisions
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==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]] - | * [[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 | |||
* [[Software_Development_Kit_(SDK) | SOFTWAREDEVKIT]] - Add support for C# and MATLAB to the Solo_Predictor Software Development Kit | |||
** | |||
* [[Testrobustness | TESTROBUSTNESS]] - Enable testrobustness function for non-linear regression methods (lwr, svm, ann, anndl, xgb) | |||
==Other Features and Improvements == | ==Other Features and Improvements == |
Revision as of 08:18, 16 January 2023
Changes and Bug Fixes in Version 9.2
Version 9.2 of PLS_Toolbox and Solo is scheduled for release 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
- Functionality added to the Hierarchical Model Builder to:
- PYTHONTOOLS - Add support for Python 3.10 and Mac M1
- SOFTWAREDEVKIT - Add support for C# and MATLAB to the Solo_Predictor Software Development Kit
- 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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clutter filter |
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evricompatibility |
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experimentreadr |
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mlr |
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Parallel Computing | |
plotgui |
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