Release Notes Version 9 3: Difference between revisions
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* Allow support for 1 component models. | * Allow support for 1 component models. | ||
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|'''[[Classification]]''' | |||
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* Calculating class probability using exact expression instead of interpolating on lookup table values eliminates very small errors due to interpolation (PLSDA, ANNDA, and ANNDLDA). | |||
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Revision as of 17:40, 11 December 2023
Changes and Bug Fixes in Version 9.3
Version 9.3 of PLS_Toolbox and Solo was released in December, 2023.
(back to Release Notes PLS Toolbox and Solo)
New Features in Solo and PLS_Toolbox
- ALS_SIT - Command line function for alternating least squares with shift invariant tri-linearity model
- CLSTI - Add CLS Temperature Interpreted model type. Interpolates a test temperature from a give set of pure spectra
- CROSSVAL - Added cross-validation by Classes and Stratified cross-validation
- EVRISHAPLEY - Add Shapley Values as additional variable importance measure and model explanation tool
- LDA - Add Linear Discriminant Analysis
- SPLITCALTEST - Added duplex, spxy, and random split methods
Other Features and Improvements
File | Comment |
analysis |
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ANN/SVM |
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DataSet Object |
|
Python_configuration |
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EVRIMODEL/GETSSQTABLE |
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modeloptimizer |
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plotscores |
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testrobustness |
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trendtool |
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umap |
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Classification |
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