Release Notes Version 9 0
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Changes and Bug Fixes in Version 9.0
Version 9.0 of PLS_Toolbox and Solo is scheduled for released in October, 2021.
(back to Release Notes PLS Toolbox and Solo)
New Features in Solo and PLS_Toolbox
- Solo is now built with version 2020b of Matlab. This will add major improvements to graphics over previous versions of Solo. Expect to see better performance across many tools and better utilization of modern hardware. Matlab 2020b also enables Python (see below).
- Python Integration
- This release introduces several Python methods. In order to use these please follow the instructions to get started: Python Configuration. These steps are necessary to use the new methods. Once configured, try the following:
- ANNDL - Artificial Neural Network Deep Learning.
- ANNDLDA - Artificial Neural Network Deep Learning for classification.
- UMAP - Uniform Manifold Approximation and Projection (Unsupervised).
- TSNE - t-distributed Stochastic Neighbor Embedding.
- For more info about PLS_Toolbox Python integration see the wiki Python.
- This release introduces several Python methods. In order to use these please follow the instructions to get started: Python Configuration. These steps are necessary to use the new methods. Once configured, try the following:
- PLOTGUI - Create an axisscale from selected points in a plot of X-block data via context (right-click) menu. This can be used to create a Y-block using create Y from X-block Axis Scale menu item.
- KNN
- Select Class Groups interface now available in the KNN Analysis window.
- Add option to use compression.
- SIMCA
- Sub models can now use independent preprocessing and included variables from the Analysis interface.
- Building SIMCA model from command line can now pass cell array of individual PCA models (built from the same dataset).
Other Changes
File | Comment |
analysis |
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constrainfit |
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experimentreadr |
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hjyreadr |
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CLS-based residuals |
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