Release Notes Version 8 9: Difference between revisions

From Eigenvector Research Documentation Wiki
Jump to navigation Jump to search
(Created page with "==Changes and Bug Fixes in Version 8.9== Version 8.9 of PLS_Toolbox and Solo was released in September, 2020. For general product information, see [http://www.eigenvector.com...")
 
Line 36: Line 36:


|----valign="top"
|----valign="top"
|'''[[anlglemapper]]'''
|'''[[anglemapper]]'''
|
|
* Classification based on angle measures between signals.
* Classification based on angle measures between signals.

Revision as of 14:35, 13 September 2020

Changes and Bug Fixes in Version 8.9

Version 8.9 of PLS_Toolbox and Solo was released in September, 2020.

For general product information, see PLS_Toolbox Product Page. For information on Solo, see Solo Product Page.

(back to Release Notes PLS Toolbox and Solo)

New Features in Solo and PLS_Toolbox

  • LREG-DA - Logistic Regression for classification.
  • SIMCA - Allow ability to cross-validate individual models in interface.
  • CROSS-VALIDATION - Allow a class set to be used for custom cross validation.
  • PLSDA - Allow creating of new class set based on modeling groups.
  • PLOTGUI
    • Allow for creating a new class set via selection when viewing an existing class set.
    • Allow for overide of default class colors.
  • PreProcess - Add filtering and despiking preprocess method.

Importers

  • JCAMPREADR - Update jar to increased the max number of blocks allowed in imported file from 500 to 50000.

Other Changes

File Comment
editds
  • Add menu items for flipping data.
analysis
  • Allow reset of included data (via xblock/yblock context menu).
anglemapper
  • Classification based on angle measures between signals.
xgb/xgbda
  • Add menu item to allow setting of include based on top N variables.
evrimodel
  • Add default naming to componentnames so components are unique by default.
[[]]
  • Fixed initialization of threeway suitable arrays usind TLD instead of ATLD.
plotscores_pls
  • Updates to studentized residual calucations for PLS and MLR.
plotscoreslimits
  • Limits on scores in PCA are now based solely on the scores distribution and no longer includes the model origin.
svm/svmda
  • Add parallel-for (parfor) loop usage in parameter optimization for speed-up if Parallel Computing Toolbox is available.