Release Notes Solo Predictor Version 2 5
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Changes and Bug Fixes in Version 2.5
Version 2.5 of Solo_Predictor was released in October 2011.
High-level Changes
- Updated to be compatible with PLS_Toolbox/Solo 6.5
Modeling
- Unified reporting of classification results for SIMCA, KNN, PLSDA, and SVMDA including:
- all class probabilities
- most probable assignment
- strict in-class assignment
- strict multi-class assignments
- See .classification field in Standard Model Structure description
- Support Vector Machine One-Class support added (svmoc)
- MLR support for studentized residuals, T^2 and limits added
- MODELSELECTOR trigger can now use of any classification model or a simple logical test on predictions from a regression or PCA model.
Preprocessing
- Variable Alignment method added (using either peak alignment using registerspec or Correlation Optimized Warping (COW))
- Correlation Optimized Warping (COW) and Dynamic Time Warping (DTW) added (from http://www.models.kvl.dk/DTW_COW )
- Poisson scaling offset support added
- Class centering method added for Multilevel PLS models and other clutter-correction methods
Importing
- Omnic SPA file importer added
- Galactic DHB file importer added (support in SPC reader)
- 3-way data importing from multiple files or multiple Excel spreadsheets added
- Excel multi-sheet document importing improved (better labeling and concatenation options)
- XML format, improved importing of objects and image DataSets